a project using SoA technologya project using SoA technology for disaster management
N. LewyckyjN. Lewyckyj
http://www.osiris-fp6.eu
OSIRIS@Globecom– December 4th 2008
OSIRIS is a EC FP6-IST project
OSIRIS: Open architecture for Smart and Interoperable networks in Risk management based on In-situ Sensorsg
• 32 months project32 months project
• Web architecture using OGC standards and open source services
• Numerous types of smart sensors involved (fixed/mobile, µ/macro, yp ( , µ ,stand alone/networks, wired/wireless, automatic/manual, on-site/remote)
• 13 partners, incl. 4 end-users
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Osiris sensor web Architecture: main objectives
Development of an open and flexible architecture p pof environmental sensor networks
I t ti l & l f t k fIntegration, plug&play of sensors or networks of sensors into a web services architecture
Providing an easy access and a wide share of information and services.
Capable of reconfiguration and evolution :different phases of crisis and additional sensors plug-in.different phases of crisis and additional sensors plug in.
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No sensor development - Only integration of existing systems
4 demonstrations will demonstrate the OSIRIS capabilities
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Forest firesForest fires
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Forest fire scenario
Location : South of France
End-user : Entente interdépartemental de la Zone S d (13 d t t 20 000 fi )Sud (13 departments, ~ 20.000 firemen)
Real fire on a hill (used to secure the zone before theReal fire on a hill (used to secure the zone before the fire season)
Deployment : normal intervention team and material + 4 type of sensors provided by OSIRIS
Demonstration : First week of March 09
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Mobile C t l D t
Forest fire global deploymentMobileGround Control Station
Central Data Processing
Centre (CDPC) in Mol
REAL TIME IMAGERY
RAW DATA COMPRESSED
SWEMONITORING / SUPERVISION
UNPROCESSED DATA
PROCESSED DATA
ARSMONITORING / SUPERVISION
ARS SENSORPROCESSED DATA
OSIRIS TRUCK
BU BU
SWESWE
PC
WIRELESS SMART IMAGING SENSOR
BU
BU
MAP
HOUSES
ROAD
FOREST
FIRE
6 POSITIONNING SENSOR SYSTEM
Firemen : 19
Trucks : 3 SATELLITE COM
WIRELESS COM
WIRED COM
LEGEND
SATELLITE COM
WIRELESS COM
WIRED COM
SATELLITE COM
WIRELESS COM
WIRED COM
LEGEND
DISPLAYOPERATORBU
Description of the airborne RS system within OSIRIS
ARS SYSTEM
RS platform
AB3 Satellite
Central Data Processing
Data link receiver
Processing Centre (CDPC) at VITO (Mol)COMPRESSED
SYNCHRONIZED DATA
OGC-standardsµ-PAF
Manned aircraft withManned aircraft with video camera
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Simulation of the HALE UAV
Manned system:Providing 30 cm GSDAcquisition in NADIRData downlink in real-timeVideo stream => reprocessed to georeferenced composite images
Possibly small UAV systems :A t il t ith fli ht l ( i t ) VITOAutopilot with flight plan (way points)Perform on demand changes in the flight planning using web services
VITO
flight planning using web services (automatic way)Perform “static” survey
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Perform static surveyAble to fly above real fire (> 5000 Ft)
GEOCOPTER
Georeferenced images provided in real time from video stream
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Georeferenced images generated in real time from video stream
MercatorLow.mpg
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AirAir pollutionpollution
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Air pollution Scenario
Location : City of Valliadolid (Spain)
End-user : AUVASA
Si l ti t h i lSimulation atmospheric release
Deployment : ep oy e tMobile air quality sensors on buses, fixed air quality sensor network, small UAV, dispersion M d lModel
Demonstration : 26/11/2008Demonstration : 26/11/2008
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Light micro-UAV: The THALES SPY’ARROW
Main characteristics:TOW: 0,5 kg Mission duration: 30 minutesFlying speed: 40 –100 km/h Manual and autonomous flightManual and autonomous flightMission supervision from standard PCEasy to use:Easy to use:
“One-Man system”Standard take off or catapult launching fromground vehicle (to come)Easy sensors adding (UAV is polystyrene made)
Typical missions:Typical missions:Long range and furtive day observation and surveillanceSamples collecting (NBC)
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Samples collecting (NBC)
Hardware: Sensors integration
Chemical / hygrometer / temperature sensors
Camera
AutopilotAutopilot
GPS
Barometer
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Thales Spy’arrow µUav system
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The UAV allows real-time - air quality measurements
Use of a small UAV (THALES) for :Vid i f th it- Video imagery of the site
- NO2 concentration measurements in the air- Meteorological parameters
⇒ Meteorological data used in real-time in a Puff model (VITO) to asses the pollutant dispersion in the air. Simulation done in real time in BelgiumSimulation done in real-time in Belgium
=> Validation of the prediction using the UAV + fixed and=> Validation of the prediction using the UAV + fixed and mobile measurements in Valliadolid (GMV)
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Thank you for your attention
http://www.osiris-fp6.eu
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