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UrbanSense Platform Porto Living Lab
Tânia Calçada [email protected] Center of Competence for Future Cities of the University of Porto Instituto de Telecomunicações
Future Cities project goals
Expand Centre of Competence in Future Cities of U. of Porto to
Promote Inter-Disciplinary Research and
Transfer Knowledge to Industry in Northern Region of Portugal
5/18/2015 2
Crowdsensing application SenseMyCity
SenseMyCity: Smart phone application designed to apply to different research projects
• Gather data from choice of available sensors – GPS, magnetometer, accelerometer – Wi-Fi and Bluetooth devices
• Supports external sensing devices – OBD to collect vehicle’s data – Heart wave and heart beat sensor
• Secure transmission and storage
• What to do with data? – Fuel consumption estimation – Mobility patterns – Route similarity (e.g. car sharing) – WiFi coverage maps
Vehicular Ad-hoc Network
Vehicles connect to each other – V2V
to the infrastructure - V2I
• Largest vehicle-to-vehicle (V2V) testbed in the world – 600 vehicles
• Two independent test beds – BusNet: buses and garbage trucks in the city of Porto – HarborNet: trucks and boats in Leixões harbor
• Joint work with – Universidade do Porto – Universidade de Aveiro – VeniamWorks – Instituto das Telecomunicações
5/18/2015 12
Bus Net: free WiFi on board
• Started Sep 2014
• 150k
– Unique users
• 14.4 TB
– Internet traffic
• 1.3M
– Internet sessions
UrbanSense platform
Large-scale infrastructure for local monitoring
Data Collecting Units
Environmental sensors
Pedestrian counters
Low cost devices
Cover a restricted
area
Cloud data services
Storage: database
Processing: calibration
Analysis: data fusion
Sharing: open data
5/18/2015 14
UrbanSense goals and aplications
Understand and get aware of environmental and behaviour phenomena
Impact in the City
• City operations • Identify critical urban areas
• Detect events automatically
• Evaluate impact of urban interventions
• Companies • Test products
• Validate business models
Research
• Open data
• Big data, data mining
• Wireless networks
• Cyber physical systems
• Urban planning
• Transportation
• Climate
• Environment
• Health
Applications
• Pollution early warnings
• Waste collection management
• Garden smart management
• Smart parking
• Localization
• Surveillance
• Real estate
5/18/2015 15
UrbanSense multi-disciplinar ongoing research
• Health – asthma and air air pollution – Morbidity vs cold spells or heat waves
• Traffic and urban planning – Act in traffic policies to reduce noise and/or air quality – Solar radiation vs coatings on roads and facades – Smart artistic lighting
• Design and social sciences – Feed data to social meeting places – Sensor enclosure integration in urban environment
5/18/2015 16
UrbanSense platform architecture
• Data collection Units (DCUs) – Sensors
• Pedestrian counters • Environmental sensors
– Mobile and static DCUs locations • 50 in the roof of buses • 25 environmental in static locations • 60 pedestrian counters in static locations
• Data communications: WiFi – Large availability around the city – City hotspots: Porto Digital or Eduroam – Mobile hotspots offered by vehicular network – Use buses as data mules
• Data storage, processing, analysis and sharing – Relational database – Open data: API to access data
• Based on REST • Based on Fi-Ware
5/18/2015 17
Data Collecting Units
• SW and HW developed within the project • Processing board: Raspberry Pi
– Local data analysis and storage – Manage intermittent communications
• Conditioning circuit electronics – Control Board
• Custom made expansion board for Rpi
– Sensor board • Host embedded sensors but exposed to elements
• Low cost sensors • 2 Wi-Fi interfaces (1st phase static DCUs)
– City hotspots: Management (and data upload) – Opportunistic communications: Data upload
• Enclosure and shield – Costume made
5/18/2015 18
Noise Air quality , RH,
temperature Processing, storage
and control
Solar Radiation
sensor
WiFi interfaces
Weather Station
Opportunistic communications: data mules
Low cost communications to collect data that is tolerant so some delay
5/18/2015 20
Data Collecting
Unit Road Side Unit
Data Collecting
Unit
CloudData Base
Fib
er
Op
tic
WiFi WiFi
WAVE
Proof of concept
Developed in the context of a Master thesis
5/18/2015 21
Sense Unit Road Side Unit
On-Board Unit
Demo for MOBICOM 2015
http://paginas.fe.up.pt/~dee09026/mobicom_dtn/mobicom_dtn.mp4
https://www.youtube.com/watch?v=Hqjx28hpuT8
5/18/2015 22
Sensors configuration overview
DCUs T1: 15 units
DCUs T2: 10 units
DCUs T3: 50 units
Counters 60 units
520 sensors
Air Quality
Particles ✓ ✓ ✓ 75
Carbon monoxide (CO) ✓ ✓ ✓ 50
Ozone (O3) ✓ ✓ ✓ 75
Nitrogen dioxide (NO2) ✓ ✓ ✓ 75
Meteoro logical
Temperature & Humidity (RH) ✓ ✓ ✓ 75
Luminosity ✓ ✓ ✓ 75
Anemometer, pluviometer, wind vane ✓ 10
Solar radiation ✓ 10
Noise ✓ ✓ 25
Counters (based on video camera) ✓ 50
5/18/2015 23
Calibration and Validation Methodology
Compare measurements of UrbanSense sensors with reference sensors
• Use reference sensors – Expensive and homologated devices
– Typically used by environmental scientists
– Provided by U. Porto research groups
• Collect UrbanSense and reference data – Same location and time
• Create a Machine learning model – Inputs:
• Gas sensor measurements
• Temperature and humidity
– Output: • Gas concentration
5/18/2015 24
Provided by LEPABE
Data Mining model
Static deployment location plan
• Covered zones – Industrial
– Park
– Traffic
– Touristic
– Waterside
• 25 static DCUs – 2 DCUs
installed in Summer 2014
– 23 DCUs planned to Spring 2015
5/18/2015 26
1ST DCU AT R. FLORES ON THE 22TH JULY 2014 2ND DCU AT R. DAMIÃO DE GOIS ON THE 12TH AUGUST 2014 3RD DCU AT FEUP ON THE 23TH APRIL 2015
UrbanSense Platform Deployment
The Sensors
A – Wind direction B – Wind speed C – Precipitation
D – Temperature and humidity
E – Noise
F – Solar radiation
C A D
E F
B E
F
5/18/2015 29
Workshop on cyber-physical systems
• 09h30 – Future Cities Project - UrbanSense Platform Tânia Calçada, FEUP/IT
• 10h00 – Sigfox network in Portugal Pedro Costa, NarrowNet
• 10h30 – COFFEE BREAK AND NETWORKING
• 11h00 – Citibrain
Rui Costa, Ubiwhere Rui Rebelo, Micro I/O
• 12h00 – Smart Water Metering Customer Consumption Francisco Cardoso, Águas do Porto
5/18/2015 32