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PROJECT TITLE: RFID SENSORS
Management Information System i.e. EARLY WARNING SYSTEM
(E.W.S.)
TO PROTECT A COMMUNITY VILLAGE FROM WATER HAZARD
(SCOPE)
It is my own design for water hazard Early Warning System based on 2 experiences:
Experience 1: a technology system based on sensors, therefore the title of the project. In fact, in a situation like the one, which is described in water hazards i.e. one needs to be very close to events in a real space and time (slide coordination centres for data netwok). My feeling a good system to alert people from a likely danger from flood should be able to give them a feel to what would happen if they are caught by flood risk (slide on flood EWS communication basic principles), thus they should take all steps to self-alleviate -or with rescue team helps-from the risks caused by floodr.
Experience 2: a second characteristic of the project is going beyond flood prediction arrival times by putting these sensor network into effective and efficient use in real time by using Radio Frequency Identification Detections (RFID)
PART I: USED CONCEPTS:
+Integrated Flood Management
+ 100 km Risk/Hazard zones
+ Early Warning System
It is about basic concepts behind the project. One would called it the science of the project. In summary, there are 3 concepts:
Concept 1: the flood concept given by the Word Meteorological Organization int the WMO flood program, which has been used and lectures during the World Water Week in Stockholm By the WMO Flood Division Director ie Mr Avinash Tyagi used the sediments and pollution concepts -As I feel that flood is a wide concept and for the purpose of the project design, my own defintion would retain only these elements that help to survive a flood risk. Thus, making a project for flood estuarine people or flood prone regions.
Concept 2: precisely, as the World bank meeting demonstrated with the stakeholders particpiation, precautionary measure should be applied within the 100 km overland or underground of a source of flood. Sediments and pollution travels on a long distance from the place where the flood sources. Stakeholders decided that 100km zone is a limit to precautionary measure for water safety purpose.
Concept 3: it is about effectiveness and efficiency of Early Warning Systems. We have learned lessons from failures of Dec 26, 2004 tsunamy in South East Asia Early Warning System. EWS should be able to convey the message, but also this message should have a meaning and an understanding. These are the EWS properties.
The Integrated Flood Management (IFM)
Sea rises
Spurs
+
+
+
+
+
Water penetrations into the land
Mountains
Village(Houses)
IFM
IWRM
IFM
Flood
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Flood plain/river estuarine
Typical geogaphycal scenarii flood disaster are the flood plains and often a river estuarine-but in my project WAER access to water,.... there is no limits to sources for flood risks. A surrealist poet has described the Earth surface like being a blue Orange. Eluard Poetry was real because not only the surface of the orange is blue, but inside the earth today can be compared with the flesh of an Orange ie full of the juicy liquid, which is underground waters.
United Nations i.e. UN-water, UNESCO,.. found there are nearly at least 300 tranboundary known aquifers (and 270 rivers, lakes....), in the world., it means there are 99,99 times more water inside the soil undergrounds than in rivers, lakes,....and other water surface features. So, because of surface waters and aquifers are not comparmented easily, there will be much more flood risks (99.9 times more!?) in the future at the light of global warming in towns and the countryside.
Integrated Flood Management (IFM) is a subset of Integrated Water Resource Management (IWRM), which is about managing flood risks in a global package of solutions for a river basin -and not like in the old times with piecemeal projects-
My practical concept for flood for the project design is about observing the impact sources of flood, issues and impacts on people livelyhood and properties. I mean like evrybody, all disasters have the same impacts like food/water, transportsbut I had focused primarily of the rule of thum
Natural water features(Naturally contaminated)
100km
Look-out pointBest placeswere a watch Person can
contemplate a floodDirectly no technology-or with the floodsensors.
Boundary land &water feature
[More flood Indicators (sensors) in the 100 km where the likelyhood of flood is important(Balancing act between benefits, costs for risks)]
100 kmboundary
A water feature(river, lake,...,sea)
The pollution risk area on land
Sensors on the ground help to map theseadvances of the flood fronts and assess locations and speeds (See slide on flood detector map forthe redeploiement strategy of flood stations)
Source: World Water Week 2009
Uncertainty distance for hazards due to water flows either at subsurfaces or underground infiltrations
Sensors
Hazard Early Warning System
Detection
Issues
The 100 km safety zone (Ref. SIWI 2009, World Bank meeting)
Water feature sources
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Early Warning Sytem (EWS)
-The basic communication principle-
Detection/emission(Signal sender)
message
medium/transmission support
Detection/reception(Signal receiver)
Water hazards
Feed-back
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(SENSOR COMMUNICATION SUPPORT SYSTEM PRINCIPLESMessage from the sender should be clear warning ie the EWS able to convey meanings and understandings to the receiver/recipients -people at risk of flood-of the message in order to have a successful EWS ie effective and efficient EWS)
Flooddata
Datacodage
Data transmision
Datadecodage
Data interpretation
Part II
SENSORS
Project component sensors
Sensor network
PROJECT SENSORS (P.B.S.)
Drones
2 oz PocketWater Purifier
Flood detectors
Assembly bases
M.I.S.
P.B.S. (Main components)
Look-out points
Retails andOn-line shopping
ElectroMechanical
Nuclear
Gauging
Speed
Self
False
Dryfeet
EITHER GROUPINGOR INTEGRATION
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Early Warning System
Rapid Response Unit
Air phase
Land phase
PROJECT SENSORS
Global Architecture
Delta
Sea
Flood station
DroneAssemblybase
Flood detectors
Warehouse(With water purifiers)
Direct transmission
RFIDtransmission
Water basin(River estuarine)
To data centre(Network)
Drone At sea
Sea relief
drone (stand-by)
Drone before launching
Mount
Integrated Flood Resource Management:
WAER Project version
Role of the capacity builders
Coordination
IWRM
Datacentre
Land vehicle relief
Drone base for relief
boat
Vehicle
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PROJECT ARCHITECTURE
(Work Breakdown Structure)
-THE 4 POLES (4 Ps)
Grouping chart
simplification: 4 Ps
Mandate
Tests
Weather
Capacitybuilding
Hydrologydetection
Weatherdetection
Prepa-radness
Detectiontechnology
Hurricane
Surge rainFlash flood
No detection
Needs
Bases
FloodDetector
Look-out points
RFID
Preparadness
Activation
Production
Drops
Pole B:Preparedness Long-term
Pole D:Emergency
Pole A:Administration
Pole C:Preparedness Medium-term
Pole E:Forecast development
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Non evident Flood
Drone Base search
Operationaldrone
WAERStand-by
WAERActivate
W. Forcastdeliverables
Evidentflood
FloodForecasts >0
Floodevidence
Base found
SurgeRain
Floodforecast
Flooding
Checks
Droneorder
Sirenes RFID alarms
No forecast
No technology
Darkponds
Softwaresimulation
Radar detection
WAERdetection
Bad Weather
Visualforecast
Purifierorder
DronePreparationorder
Drone in progress
LauncherIn progress
Dronevoucher
Purifiervoucher
Proceedvoucher
Proceedvoucher
Launcherready
Droneready
Assemblyauthorization
OperationalDrone ready
Fired drone
Flood Zone identification
IdentifiedDrop zone
droppedPurifiers
Drinkingwater
Activationorder
Surge water
Hurricane
FloodMap
Flood Zone identified
Rainreport
Hurricane report
Preparadness(pre-alert)
FloodForecasts h
Hydrograph
Hurricanealert
No coverage
ForecastNeed
Preparadnessalert
Mandate
Capacitybuilding
No water trucking
Radiodecodage
For. needanalysis
Forecastresolution
ForecastMeeting
rescue team
Options
Water
Land
Base ready
(PRODUCTION FLOWCHART)
Preparadnesstarts
Test
Flood zoneaccess
Authorization
WAERforecast
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MULTINATIONAL CORPORATION (MNC) ORGANIZATION:
PORTOFOLIO PROJECT
Air
IFMzones
water
Drone
Assembly base
Flooddetector
Parcel delivery
On-line shoping
Trade
Domestic
Spate
Treeplanting
Pipes(Soft, hard)
reservoir
Scaffolds
Water pumps
Stone
Aqueduc
Forecast no detector
Walls
GPS
CameraPhone
RFID
Internet
Telecom.Depart.
Geography
Retailing
(WAER MULTINATIONAL: MULTI PRODUCT/SERVICE BUSINESS BLOBAL CORPORATE, BUT NOT A CONGLOMERATE --ONLY ONE BUSINESS WATER SUPLLY DURING A FLOOD-- )
Business organization
Executive Board
Finance
Non executive board
International
ProjectTechnology
Orthodox
NonOrthodox
Disaster& hazards
Insurance
Assessment
CSR HubTechnical
Barges
Canals
Projectcomponents
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Dry-feets
Look-outpoints
Resource Black Box Model
(SYSTEMIC VIEW POINT)
INPUT-PROCESS-OUPUT FOR RESOURCE ALLOCATIONS
PlanningResources
Space
Time
Calendar
Assumptions on flood types
Classes ofactivities or standardWork ?
Coverageof the dark zones (uneasy to forecast)
Floodincrease
Product Base Planning
Finish with tasks And allocate resources:
Manpower per hours
Materials
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PROJECT GOAL
inputs
process
ouputs
issue
Indicators
TELL WHERE YOU ARE HEADING
Not over
Not under
The right balance
Indicators (output management)
Flooddata
Sustainability
DailyBusiness
Quality
Output
Alternatives
6 sigma
Dow Jonesindex
Sales
Inventory
Raw material
Manpower
Quality
Flow speed
Elevation
Hazards
Causes
Problems
Impacts
River size
Infiltations
Softwares
10-20
Too much
Too little
average
Stock
Indicators for project sensors
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Project organisation
(To match the supply and demand)
The match between supply and demand for relief goods during
recovery operations is defined by the forecast and the adjustment
made by the project organization to reduce risks based on
responsiveness linked to the sensor network
This model remove the confusion with the Economy of a crisis and
the management of crisis
EARLY WARNING SYSTEM (EWS) BASED ON INFORMATION SYSTEM
(Global architecture)
Mobile PhoneCamera
Flooddetector
Floodbase
RFID
Socio-mediaevent
Waterquality
Waterspeed
Waterelevation
Treament
Internet
Computer
Broadband
GPS
Visual
data
Flood contextcaptures
FLOOD
Waterstation
Dronebase
Households
Floodprocess
COORDINATION CENTRES FOR DATA NETWORKRFIDhydrologyforecastNetworkservice
Network powered with nanotechnologies, mobile phone cameras, internet, wi-fi and GPS for flood event captures/media
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Part III
Flood Indicator / global architecture
(Interface specification)
FloodIndicator
House
RFID transmission30m-50m
Alimentation: Solar energy
FloodIn development
Sited inthe garden
Security zone (x)
PossibleSolution:WAER
Preparedness (needs)
Emergency-Evacuation (needs)
x=v.tt=x/v
Solutionplanning
Hh
Hf
Hf-Hh= 30 to 50m
Datacaptures
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Raising Platform
House: elevation house
Mini-base for the drones
Elevation points
Assembly point
Refuge-shelter
Look-out point
Watch
Forecasts
Flood elevation
Flood
Indicator for alternative Aids: WAER,Water trucking
LocalFlooddetector
RFID
GPSPole
Internet
GPS
Drone+ Water purifier
computerMobile phoneUSB key
Cloud technology
Optical Flux
Assembly Base
Surgerain
My answer:choice
The flood platform
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Flood Indicator locations
(Global architecture)
Along a road(combines with lamp postNew version)
River bedCrossing aroad
(New version 2)
X=Water elevation:time to travel in the water
Laser or dopplerdetection
Equation 22(d+x) = c[t+]
d: pole lengtht: time to travel in the air
Equation set 1D-d= XT=2 (t+)
c (or v): speed of light (or sound (doppler))T: measure between two signals
(d,t)
Signals
1
2
T
Interface specifications
In-houseFlood indicator
Outdoor flood detectors
(New version 1)
Colorimetrydetection
(Computer reading in both cases)
Cable or RFID transmittance,Also sattelite detection with GPS
Flood
New versionsBased on light waves:1-the water colometry analysis(opto density: the waterthickness) is an indicator of the water depth-elevation- in some cases.2- Water elevationmeasures directly -telemetry-the water level
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EWS MAPPING SYSTEM
(PROJECT GEOLOCATION)
Community village protection:
event scenario
(Radar map view)
70
115
Mount
Villagezone
walls
FloodDetectors
100 km
80 km
60 km
40 km
20 km
90
Flood station
a river
N
Flood frontline
80
100
Flood corridor(70,115)
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Flood front advancement
River surveillance with the flood detectors
-Potential flood corridors-
Mount
70
Wall
115
155
42
Elevation (H), speed (S) and time (T)H and d=ST
river
Flood detectors
Flood penetration inland(outside the river banks)
d:Distance range (GPS location)
Community village
100
GPS location or RFID mapping
DatabaseComputertreament
SpeedAndelevation
Wateralternatives
Flood prone zone
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Hidden obstacles
Corridor
Importance of a flood detector map
070
CommunityVillage(30,000 households)
080
090
100
110
120
115
110
100 (km)
80
60
40
20
00
32
68
Flood frontline
The flood detectorsconvey information on:-flood speed-flood elevationThese knowledge givetime for a solution:Water supply, evacuation,Other preparedness forFuture risks
km
degree
Flood station
H00 -H20 = 20 km
N
To read the map
Corridor 070 115
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Flood front trip
Travel distance
Corridor Azimuth
Flood risk drivers (a tool for assessment)
(A sample of flood detection influences for
forecasts with very reduced lead-times and very fast response)
Discharge (flood elevation)
Terrainslopes
House location
Presence ofa detector
Time
Speed
Competitors:Increase lead-timesUse ofsoftware modelling
1
Zone A: Importance of Discharge (6), detector Location (6) and time (ease to solve a floodissue) easy zone
Slopes (2) and house location (2) are minorFlood speed likely to beMedium (3)
Discharge: water elevation, strengthLocation: proximity to the waterTime: influenced by the quality of the solution to flood .
In this case it is risky:Flood risk and ruptureof water supply, vitalFor livelyhood and properties
flood detector location, senior house with piloti or mitigation. Preparedness foremergency evacuation/water supplyindividual food ration/safety boat
Causes
Problems
Impacts
Zone:importanceof slopes only
House on a mountain (6.5). Itis not at risk-- if not the house is in a flood prone zone = likelihood of danger. For intance a house with a(1) indice
House highly perchedon the top of a valley slope
2
3
4
5
6
the driver indiceFor the event intensity
The driver type
6
6
5
2
2
For instance: case Zone D
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RFID ORGANIZATION BREAKDOWN STRUCTURE
Benefits brought by Virtualization
Lower expenses(physical assets reductions)
Business continuity(No redunancy or back-ups ratio 1:1 is avoided)
High availability(independence of virtual devices)
Fast Installation(Use of a software)
Corporate governance (Transparency rules for the central point=security)
(Source adaptation AT &T)
Hardwares
Hypervisor
OperatingSystem
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WBS New Technology (NT) RFID Grouping in the virtualization process at Integrated Flood Resource Managament Levels
RFID(A2)
RFIDs
Operating System
RFID(A1)
RFID(A3)
Configuration Management
Adaptation :Sample case of organisation with RFIDIs in the RFID Journal: the Dolphin StadiumCalifornia State, people security
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Sample of case study: RFID and security (Dolphin Stadium)
Also, AIRBUS
-Wireless network able to support POS systems
-RFID is competing with WI FI (less equipment)
-Adventage of the stadium: possibility to run high bandwidth
services: voice mail, data and video tansmisssion, interesting in
outdoor transmission and specific environments
-illuminating of blackholes and reducing stocks by 50% --
Ref.: Technology Provider/integrator: check points
systems, KooBra software; Location Pfaeffikon, 8808, switzerland, Charle Vogele group, largest Clothesretailer in Switerzeland--
(Source internet: RFID Journal )
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WBS of New Technology (NT)
RFID network
Hypervisor
Hypervisor
Hypervisor
OperatingSystem
RFID
RFID
RFID
ManufactureLevels:-Assembly bases-Water stations-Buoys-Flood detectors
IFM Level
RFID
RFID
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3-Flood indicator for forecasts
1- Being an independant network does not mean absence of
collaborative approaches between networks and services.
2- Flood and hydrology network would always needs the
weather forecast and an autonomous research actions.
3- But a fine tuning of flood forecasting and disaster prevention
-in my view point- is only possible with appropriate technologies
based on RFIDs, sensors, household Its, wireless....
4- This leads to less administrative work, favouring intermediate
technologies, decentralization, use of local materials and
assistance to complement existing system (WMO, IHO(?))
5- Last, is and improvment with non technology flood forecasting
Methods to reduce various uncertainty sources
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SOURCE OF UNCERTAINTIES
LIKE THE UNDERCOVERAGE OR DARK ZONES DUE TO ABSENCE OR OF FORECASTS
OR ORGANIZATION RESPONSIVENESS DURING UNPREDICTED FLOOD ARE REMOVED
BY THE FINE TUNING OF AN EARLY WARNING SYSTEM BASED ON THE SENSOR
NETWORK AND HOUSEHOLD MANAGEMENT INFORMATION SYSTEM
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Risk project i.e. uncoverage zones (a)
They are placed in strategy points (see PBS for flood indicator for flood detector locations). It is very relevant in zones, I previously called ponds or dark zones (holes) where their is no predictions.
Dark holes (Swamps, Camargue,remote places on earth uncovered)
?
Look out-points and floodDetectors in between theForecast knowledge points
Uncertainty 1 (Horizontal uncertainty)
Horizontal line (subsurface)
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PROJECT DEVELOPMENT
Pole Administration
Pole Emergency
Pole PreparednessMedium range
Flood Forecast development
Pole Preparedness Long Term
FinancingMechanism
National country
External
Goal
Broadbanddevelopement
RFID
Internet
Mergers
New capacity building
Old CapacityCuilding
BTSA
Consulting group
Mandate
Banks &
customers
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FINANCIAL MECHANISM
END