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Final review Meeting 1deg
February 2017
SLOPE Final Review Meeting1st February 2017 Brusselles
Innovative cable yarder Diego Graifenberg
Greifenberg Teleferiche
SLOPE PROJECT WP 3
2
DELIVERABLE
3
SUBMITTED DELIVERABLES
D303 submitted on 200516
D304 intelligent processor head prototype
D305 submitted on February 2016
D306 submitted on 250915
D307 submitted on 160117
D309 submitted on 180915
4
ABOUT WP 3Work package 3 includes the machines Tree marking Carriage Chockers Rope Launcher Processor Head Black box for back-up Intelligent truck
5
WP 3 STATUS All the companies involved in this work
package have submitted the deliverables
All the companies involved in this work package have developed the machines and the systems
All the companies involved in this work package have tested the effectiveness in the pilot activity
6
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
SLOPE PROJECT WP 3
2
DELIVERABLE
3
SUBMITTED DELIVERABLES
D303 submitted on 200516
D304 intelligent processor head prototype
D305 submitted on February 2016
D306 submitted on 250915
D307 submitted on 160117
D309 submitted on 180915
4
ABOUT WP 3Work package 3 includes the machines Tree marking Carriage Chockers Rope Launcher Processor Head Black box for back-up Intelligent truck
5
WP 3 STATUS All the companies involved in this work
package have submitted the deliverables
All the companies involved in this work package have developed the machines and the systems
All the companies involved in this work package have tested the effectiveness in the pilot activity
6
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
DELIVERABLE
3
SUBMITTED DELIVERABLES
D303 submitted on 200516
D304 intelligent processor head prototype
D305 submitted on February 2016
D306 submitted on 250915
D307 submitted on 160117
D309 submitted on 180915
4
ABOUT WP 3Work package 3 includes the machines Tree marking Carriage Chockers Rope Launcher Processor Head Black box for back-up Intelligent truck
5
WP 3 STATUS All the companies involved in this work
package have submitted the deliverables
All the companies involved in this work package have developed the machines and the systems
All the companies involved in this work package have tested the effectiveness in the pilot activity
6
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
SUBMITTED DELIVERABLES
D303 submitted on 200516
D304 intelligent processor head prototype
D305 submitted on February 2016
D306 submitted on 250915
D307 submitted on 160117
D309 submitted on 180915
4
ABOUT WP 3Work package 3 includes the machines Tree marking Carriage Chockers Rope Launcher Processor Head Black box for back-up Intelligent truck
5
WP 3 STATUS All the companies involved in this work
package have submitted the deliverables
All the companies involved in this work package have developed the machines and the systems
All the companies involved in this work package have tested the effectiveness in the pilot activity
6
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
ABOUT WP 3Work package 3 includes the machines Tree marking Carriage Chockers Rope Launcher Processor Head Black box for back-up Intelligent truck
5
WP 3 STATUS All the companies involved in this work
package have submitted the deliverables
All the companies involved in this work package have developed the machines and the systems
All the companies involved in this work package have tested the effectiveness in the pilot activity
6
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
WP 3 STATUS All the companies involved in this work
package have submitted the deliverables
All the companies involved in this work package have developed the machines and the systems
All the companies involved in this work package have tested the effectiveness in the pilot activity
6
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Task 33 status
three machines have been developed and finished
7
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Tecno Power Slope All the devices and the software on board have
been completed and tested on the pilot activity
The Slope supply chain technology has worked from the marking to the transport of the logs and timber
8
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Tecno Power Slope All the data could be transferred and collected
9
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
bull Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE
10
Self propelled TECNO
weight calculationinclination tag readingcable line information (pos and speed)time work estimationauto chocker opening systemconnecting by remote black box
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
TECNO POWER SLOPE STATUS
WORK COMPLETED
11
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
AUTOMATIC CHOCKERS
12
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Chockers at work
13
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
How they are made
Body in alloy steel inside devices in hardening steel electrical movements radio receiver litio battery
Closing facilited
Durable battery
Safety system against accidental opening
Double receiver to work in manual or automatic mode
14
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
What is the difference of the new Chockers
When the carriage arrives on the unloading place the automatic chockers open automatically
Advantage no men in dangerous area
Advantage no wasted time
Advantage more working speed
15
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Automatic chocker status
WORK COMPLETED
16
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
EASER Rope Launcher
17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Rope Launcher at Work
Integrated system to lay out the skycable in the forest
18
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
How it is madeLaunch pipe with GPS guidance system of geographical coordinates
High pressure air compressor
Rocket with retractable stabilizing wings
High resistance syntethic rope
Electric winch to pull back the cable and lay out the steel cable
Gen set on board
PLC and touch screen panel to write the coordinates
19
launch tube with GPS guidance system of geographical coordinates
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
What are the benefits
Fast lay out of the rope (main cable)
Avoids ropes overlay and crossing pulleys by operators
Avoids physicall efforts and dangerous situations for the operators
Avoids the compass using reducing the error probability
20
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
What still needs to be accomplished
We are working with a government institution ENAMA to get the homologation
21
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Reached target Task 33 Full automatic and interactive carriage
for cableways
Full automatic and interactive chockers
Unique and automatic cableway layer
22
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Greifenberg HR
23
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
GREIFENBERG SLOPE OPERATORSAND PARTICIPANTS
DIEGO GRAIFENBERG LOREDANA PANCHERI CRISTINA GRAIFENBERG MARINA MAGNONI DANIELA UEZ PAOLO STABLUM TIZIANO MONEGATTI ENZO VALENTINELLI SERGIO ZUCALLI SAVERIO RUATTI FEDERICO DALLAVALLE LINO STABLUM STEFANO ZANON STEFANO PEDROTTI MAURO ZAMBELLI ALESSANDRO DALLAVALLE GIOVANNI BELFANTI VALENTINO LORENZI
24
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
What have we gained by taking part to Slope Project
INCREASED COMPANY PRESTIGE
INCREASED COMPANY MANAGEMENT SKILLS
INCREASED KNOWLEDGE
INCREASED COLLABORATION SKILLS
25
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
THE DAY AFTERhelliphelliphellip
MORE IDEAS
MORE MARKET
MORE TURNOVER (+15) WITH THE SALE OF THE DEVELOPED MACHINES
26
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
THANKSFOR ME AND FOR MY COMPANY IT HAS BEEN AN UNFORGETTABLE EXPERIENCE
27
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
GREIFENBERG MARKETING STRATEGYAnsoff criteria
PRESENT NEW
PRESENT
Market penetration
Product Development
NEW
Market development
Diversification
28
ProductsMARKETS
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
GREIFENBERG MARKETING STRATEGY
FINANCIAL CRITERIA
Remuneration of investment (ROI)
Internal rate of return (IRR)
Assessment of the profit margin
Draw and break-even point
29
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
GREIFENBERG MARKETING STRATEGY
COMUNICATION CRITERIA 5P
Product (all the developed machines are interesting forestry supply)
Price (the company can build at competitive prices)
Promotion (the same way to promove the new machines)
Place (the same working areas of Greifenberg cableways)
People (same type of standard client)
30
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
GREIFENBERG MARKETING STRATEGY
31
DMAIC METHOD ANALIZING
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
wwwslopeprojecteu
SLOPEWP3 Integration of novel intelligent harvesting systems operating in mountains areas
T34 - Intelligent processor head
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
bull Length 17 months
bull Status completed
bull Involved partners Compolab CNR BOKU Greifenberg
bull Goal to add to a commercial processor head grading and marking capabilities while preserving the existing ones
bull Output D304 (Prototype)
IntroductionTask overview
Final review meeting1st February 2017
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
34
IntroductionMain goal
Task objectives
To develop an intelligent processor head optimized for
working at cable crane unloading sites and able to perform a series
of analyses on the processed timber as well as marking each log
with RFID tags andor colour marking (eg barcodes) reporting
and storing the collected information
Final review meeting1st February 2017
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
35
Intelligent processor headOverview
Excavator - LIEBHERR R 310 B
Push-buttons controller
CompactRIO
Ethernet switch
Industrial PC
Touch screen
Electrical power supply
Filter and regulators
Relays
Processor head ndash ARBRO 1000-S
Electric actuators
CompactRIO extension
Hydraulic actuators
Sensors
Electro valvesFilter and
regulators
CompactDAQ
Sensor conditioning
modules
Hydraulic power supply
Switches
RFID antenna
Processor head electrical enclosureCabin electrical enclosure
Final review meeting1st February 2017
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
36
Intelligent processor headOverview
Additions and changes on processor head
Additions on excavator
Final review meeting1st February 2017
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
37
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
38
Intelligent processor headAdditions and modifications on processor head
Scan barMechanical system housing sensors related to NIR measurements system hyperspectral measurements system stress wave (free vibrations) measurement systems assembled on a movable bar parallel to the chainsaw bar but placed in a separated
part for protection from dirty lubricating oil and chipping
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
39
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
40
Intelligent processor headAdditions and modifications on processor head
Scan bar
2 DC motorsbull stepper linear actuator NEMA 17 for scanning
movementbull gearhead stepper actuator NEMA 23 for the
scan bar rotationMovable protection carter
bull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Actuation system
Final review meeting1st February 2017
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
41
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
42
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
43
Intelligent processor headAdditions and modifications on processor head
Scan bar
Sensors
NIR camerabull MicroNIR camera from VIAVI Solution
Hyperspectral camera arraybull 16 Hamamatsu C11708MA sensorsbull 16 + 32 bulbs for lightningbull electronic components for signal conditioning
and power supplyLaser displacement sensors
bull sensor LK-G87 from KeyenceTri-axial accelerometer
bull 604B31 from IMI Sensors
Final review meeting1st February 2017
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
44
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
45
Stress wave based measurements systemStress wave velocity
It is based on time of flight (ToF) measurement
Intelligent processor headAdditions and modifications on processor head
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
46
Mechanical stimulus trigger
system
ToF acquisition
system
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Final review meeting1st February 2017
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
47
Intelligent processor headAdditions and modifications on processor head
Stress wave based measurements systemStress wave velocity
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system
Final review meeting1st February 2017
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
48
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
49
Stress wave based measurements systemStress wave velocity
Intelligent processor headAdditions and modifications on processor head
ToF acquisition system
Mono-axial accelerometerbull 607A11030BZ from IMI Sensor
Tri-axial accelerometerbull 604B31 from IMI Sensors
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Final review meeting1st February 2017
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
50
Stress wave based measurements systemFree vibrations
Dynamic load cellbull 208C03 from PCB Piezotronics
Actuation systembull hydraulic cylinderbull electrovalvebull inductive switches
Mechanical frame and components
Mechanical stimulus trigger system Free vibrations acquisition system
Laser displacement sensorbull LK-G87 from Keyence
Tri-axial accelerometerbull 604B31 from IMI Sensors
Scan bar actuation system
Final review meeting1st February 2017
Intelligent processor headAdditions and modifications on processor head
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
51
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Stress wave measurements system(D405 and D410)
Time of flight
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
52
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Energy spent for chain saw cutting provide information on wood density and cross-section geometry
Sensors
Final review meeting1st February 2017
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
53
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
54
Cutting forces measurements systemChain saw
Intelligent processor headAdditions and modifications on processor head
Linear encoderbull PC-H-275 from GEFRAN
Hydraulic pressure transmitterbull 2 x NAH 825374 24 17 32 19 from Trafag
Flow meterbull Gear type flow meter VC series from Kratch
Sensors
Final review meeting1st February 2017
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
55
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Sensors
Final review meeting1st February 2017
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
56
Design of the novel subsystemCutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
57
Cutting forces measurements systemDebranching forces
Intelligent processor headAdditions and modifications on processor head
Load cellsbull 2 x strain gauge load cell CO series 5 t from
NBC Elettronica
Hydraulic pressure transmitterbull 5 x NAH 825374 24 17 32 19 from Trafag
Sensors
Final review meeting1st February 2017
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
58
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
59
Intelligent processor headAdditions and modifications on processor head
Log marking systemUHF RFID label have been selected for SLOPE project
Final review meeting1st February 2017
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
60
Intelligent processor headAdditions and modifications on processor head
Designed and implemented systems
Acoustic measurements system(D405 and D410)
Stress wave velocity
Free vibrations
Cutting forces measurements system(D406 and D411)
Chain saw
Debranching knives
NIR measurements system(D403 and D408)
Hyperspectral measurements system(D404 and D409)
Scan bar Log marking system(D301 D302 and D306)
RFID marking system
Hydraulic actuators Hydraulic distributors + electrovalves
Data acquisition amp elaboration
Signal conditioning + CompactDAQ modules
Control CompactRIO Ethernet extension
Final review meeting1st February 2017
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
61
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Additions on hydraulic circuit
Mechanical stimulus trigger hydraulic cylinder
Tri-axial accelerometer hydraulic cylinder
Mono-axial accelerometer hydraulic cylinder
Log marking system hydraulic cylinder
Stapler hydraulic cylinder
5 additional electrovalves
Final review meeting1st February 2017
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
62
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Signal acquisition
Signal conditioning modules forbull Load cellsbull Flow meterbull Laser triangulation sensorbull Linear potentiometer
CompactDAQ 9133bull NI9208 16 ch input modulebull NI9212 8 ch to channel isolated
thermocouple input modulebull NI9220 16 ch module plusmn10 V
simultaneous analog input 100 kSsbull NI9234 4 ch plusmn5 V IEPEand AC-DC analog
input 512 kSsChbull NI9403 32 ch module 5 V TTL
bidirectional IO
Final review meeting1st February 2017
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
63
Hardware for machine control
Intelligent processor headAdditions and modifications on processor head
Signals acquisition and machine control
Machine control
DC-DC regulators
Harnesses
CompactRIO extension module NI9147bull 2 x NI9503 C series stepper drive modulebull NI9476 32 ch 24 V sourcing digital output
module
Final review meeting1st February 2017
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
64
Hardware for machine control
Intelligent processor headAdditions and modifications on excavator
Human machine interface machine control system and database storageRugged touch screen monitor
Industrial PC Axiomtek IPC934
Ethernet switch
CompactRIO 9030bull NI9375 32 ch 16 sinking digital input
module + 16 sourcing digital output module
bull NI9411 plusmn5 to 24 V 6 ch differential digital input module
bull NI9425 32 ch 24 V sinking digital input module
bull NI9476 32 ch 24 V sourcing digital output module
Harnesses (fuses + DC-DC regulators + relays)
Final review meeting1st February 2017
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
65
Thanks for your attention
Contact info
Gaspare LrsquoEpiscopia gasparelepiscopiacompolabitStefano Marrazza stefanomarrazzacompolabit
wwwcompolabit
SLOPE Final Review Meeting1st February 2017 Brussels (B) ndash DG Research amp Innovation
Final review meeting1st February 2017
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Project SLOPE66
WP3 - Integration of novel intelligent harvesting systems operating in mountain areas
Task 35 - Intelligent transport truck
Brussels February 1st 2017
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Task Overview67
Status 100
Length 12 months (M12 to M24)
Partners involved ITENE (leader) CNR MHG BOKU
Aim Tracking of trucks and loaded logs and send the information into the SLOPE system
Output Deliverable D305
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
68
Use case
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Hardware69
CAEN R1240I RFID Portable
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
General Architecture70
USB
USB
USB
USB
GPRS
SLOPE server
GPS
WIFI
BluetoothLocal database
Portable RFID reader
Raspberry PI
IP 192168421
PC control
Fixed RFID reader
Bluetooth
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Hardware71
Raspberry Pi 2 Model B 900MHz Quad core ARM V7 processor 1GB of RAM
GlobalSat BU-353-S4 USB GPS - GPS data acquisition
Huawei E3256 USB GPRS ndash GPRS connection
Belkin F8T013-1 ndash Bluetooth USB adapter
Edimax EW-7811Un ndash Wireless USB adapter
CAEN R1240I ndash qID ndash portable RFID reader
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Software72
Raspbian Linux distribution as an operative system Raspbian is a free operating system based on Debian and optimized for the RPI hardware
PostgreSQL as a database software PostgreSQL is cross platform open source and free to use
Python 3 as programming language Python is a general-purpose object-oriented high-level programming language defined for code readability Python is free and open source
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Main Screen73
Status of the Rpi systems
Startstop Close the app
Go to configuration screenGo to test screen
Log screen
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Test Screen74
Test screen to try the different parts of the system and check functionalities
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Configuration Screen75
Configuration screen to set different options of the solution
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Manual RFID Reader Screen76
Manual RFID Screen to control and monitor the activity of the portable RFID reader
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Time Schedule
Milestone M13 M14 M15 M16 M17 M18 M19 M20 M21 M22 M23 M241 Hardware deployment RPI GPS GPRS Bluetooth
2 Software deployment Python app PostgresSQL db
3 GPS data acquisition
4 RFID data adquisition (with Intermec readers)
5 Local storage of data
6 User interface for control and monitoring
7 Implement GPRS connection
8 Implement SLOPE DB connection
9 Implement power sourcebatteries
10 Development of encapsulation
11 Manual RFID reader adaptation
12 Test Live vehicle tracking
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Laboratory Testing
RFID reader and antenna
RaspBerry Pi 2 in action
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Testing on the field Further improvements of the system have been done
in WP6 and WP7 to improve the integration with the whole system in a real scenario Monte Sover testing showed that the software stored
some unnecessary data in the SLOPE DB and a wrong formatting problem with the loading state of the truck
These problems were solved before the next test on Annaberg where the system worked successfully
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
iTruck route demonstrator
Annaberg(Austria)Monte Sover (Italy)
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Conclusion Task 35 has been finished successfully and takes care of
all the initial DOW requirements RFID readerantennas integrated within the truck
capable of reading the RFID tags of the timber loaded
Analyse the truck load status GPS location of the truck GPRSUMTS3G module to send data via satellite
connection to the SLOPE DB
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Contact info82
Joseacute A Rodriacuteguez (joseangelrodriguezitenecom)
Mordf Dolores Herrero (doloresherreroitenecom)
Juan de Dios Diacuteaz (juandiazitenecom)
Emilio Gonzalez (egonzalezitenecom)
Thanks for your attention Any questions
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
wwwslopeprojecteu
TASK 36Data management back-up
Work Package 3 Integration of novel intelligent harvesting systems operating in mountain areas
Task leader Jakub Sandak (CNR)
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
WP3 T 36 Deliverables submitted
D307 Black-box for back up and data transmission (prototypes and report)Delivery Date January 2017
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
bull The overall goal of the task T36 was to build a prototype of portable internal
powered black-box for dailyweekly data back-up and for data transmission in
areas without GPRS coverage
bull The system had to integrate several hardware and software modules developed
independently by different partners within several working packages
bull The unified transmission protocols properly defined data structures and
overall compatibility of different components had to be established
Task Leader CNRTask Participants Greifenberg Graphitech Compolab
WP3 T36 Data management back-up
Objectives
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Software and hardware includedcore software tools established for the needs of SLOPE project and engaged in the black boxbull Forest Information System database (Web)
bull Application for control movements of the intelligent processor (LabView)
bull User Interface for the processor operator (LabView)
bull RFID reader (Java + LabView)
bull Data acquisition software for quality assessing sensors (Labview)
bull Application for acquisition of the run-time data from the cable crane (Java + Python)
SLOPE hardware involved in the data exchangebull Intelligent processor (excavator)bull Intelligent cable cranebull Forest Information System and related web services (online)
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
SLOPE computer system architecture and data communication
CRio extension
LAN hub
CRio controler
Cdaq controller industrialPC
excavator
access point
SLOPE FIS data base embended PC
internet cable crane
WIFI WIFI
WIFI
LAN
LAN
LAN
LAN
CRio extension CRio controller
Cdaq controller IndustrialPC
SLOPE FIS data base embedded PC
Internet memory stick
HDDWeb
service
Shared variables engine
FIFO
FIFO
system architecture data communication
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Integration of the SLOPE software with FIS
Two most important utilities of the data management and back-up system includebull downloading of the information from the FIS regarding marked trees and
cross-cutting simulationbull uploading progress of operations and resulting logrsquos quality(ies) indexes
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
FIS Downloading of data Downloading of data may be performed twofold
by means of GPRS service or any other Internet-based method possible only in a case the access to the network is available on the production site
by using any digital data storage (such as CD-ROM memory cardstick portable hard disk among the others) possible to be implemented anytime assuming that the operator is capable to connect to the internet after the working hours
WEB-1
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
User interface 1UP-1DOW-1
DOW-2
UP-2
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
User interface 2
DOW-1 DOW-2
Plot area map with
harvestedprocessed trees
marked
List of all trees selected for
harvesting and foreseen for processing
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
FIS uploading of data uploading of data may be performed twofold
the direct connection to the FIS with GPRS to be realized in field and triggered by the processor operator
uploading the daily production results by the processor operator at the end of the day after arriving back to the rest destination covered by the internet connection
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
New info for FIS (uploaded JSON)
Overall quality indexRFID of logStatus of log
Log lengthLog bottom end diameter
Log top end diameter
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Integration of automatic RFID reading with the SLOPE software
Reading of tree RFID tag by the processor is extremely important bull to visualize the recommended cross-cutting of treebull for updating the JSON file (tree status) to be uploaded to the FIS
Three modules were created used specifically forbull identifying ID of tree harvested in the forest by the intelligent cable crane
during its transportation from the site to the storagebull identifying ID of tree to be processed by the intelligent processor bull identifying RFID of the newly created log after inserting new tag by the
machine
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
LabView software for RFID
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Integration of intelligent cable crane with the SLOPE software
Implemented as web service
Used for in-field nearly real-time monitoring of the cable crane operations
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Information acquired
time series of the machine statuses extracted from JSONbull time stampbull working cycle IDbull cable crane position along the linebull velocity of the cable crane
movementbull tilting of the carriage regarding the
movement directionbull side tilting of the carriagebull fuel consumptionbull weight of the transported
treesbiomassbull status of the liftbull status of the choker
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Raw data from cable crane
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
results
A B C D A A B C D
A ndash carriage arrived to the storage destination (end of translation down)
B ndash end of handling logs at the arrival (the carriage starts travel back to the forest)
C - the carriage arrived to the location in forest and the process of installing logs begin (the carriage is not moving but lifting is down)
D ndash the process of installing logs is finished the operator adjusts the position of the carriage and lifts up logs as well as send the carriage back to the storage destination
NoteIt is possible to estimate the load of logs before arriving to the storage destination (A)
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Conclusionsbull it is a pioneer and original work (especially considering its
complexity and harsh working environment)bull all subsystems developed by different partners were
compatible bull all the expected functionalities and the developed software
solutions are suitable for quantification of the log quality in objective and repetitive way
bull both SLOPE project in-field demonstrations were precious to test the system and to improve technical solutions applied
bull The current state of development is a solid proof of concept further field tests are indispensable for final tuning of the routine procedures
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17
Recommendations
bull the safety of the data as well as capacity of the processor operators is an issue
bull optimize the RFID antenna location and more refined processing of the raw data acquired by antenna
bull it is extremely important to test the system by forest operators bull integration to more robust data transmission technologies
(satellite) can be considered as an option
Final Review Meeting 1 Feb 17