a project using soa technologya project using soa...

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a project using SoA technology a project using SoA technology for disaster management N. Lewyckyj N. Lewyckyj http://www.osiris-fp6.eu OSIRIS@Globecom– December 4 th 2008

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Page 1: a project using SoA technologya project using SoA ...newton.ee.auth.gr/aerial_space/docs/CS_4.pdf · a project using SoA technologya project using SoA technology for disaster management

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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