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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
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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
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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
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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
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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)
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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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