sensor & computing infrastructure for environmental risks scier fp6-2005-ist-5 stathes...

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Sensor & Computing Infrastructure for Environmental Risks SCIER FP6-2005-IST-5 Stathes Hadjiefthymiades (NKUA) 1st Student Workshop on Wireless Sensor Networks Brussels, Oct. 2008

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Sensor & Computing Infrastructure for Environmental

Risks

SCIER FP6-2005-IST-5

Stathes Hadjiefthymiades (NKUA)

1st Student Workshop on Wireless Sensor Networks

Brussels, Oct. 2008

Main Objectives

• Sensor network infrastructures for the detection and monitoring of disastrous natural hazards.

• Advanced sensor fusion and management schemes.

• Risk evolution models simulated on GRID.

• Multi-risk platform.

• Public-private sector cooperation.

LACU

Computing System

Public infrastructure

private infrastructure

con

trol

Local Alerting Control Unit LACU

LACULACU LACU

LACU

LACU

SCIER architecture

SCIER Sensing Subsystem• Sensor Infrastructure

– In-field sensor nodes (humidity, temp, wind speed/direction)

– Out-of-field vision sensors (vision sensor)

• Sensor Data Fusion

SCIER Computing Subsystem

• Computation and Storage• Environmental models

– Flash Floods (FL), forest fires (FF)– GIS Infrastructure– Storage, analysis and visualization of

monitored data, spatial calibration and event localization

• Predictive Modeling• Front-End Subsystem

Local Alerting Control Unit (LACU)

Data flow

Control flow

DataBase

Worker Node

Worker Node

VO Storage Disk Pool

MON:ctb30.gridctb.uoa.gr

CE,SiteBDII:ctb31.gridctb.uoa.gr

SE:ctb32.gridctb.uoa.gr

WN:ctb33.gridctb.uoa.gr

WN:ctb34.gridctb.uoa.gr

SCIER Site @ UoA

Computing Subsystem

Alerting Infrastructure

JDBC

Sensor Infrastructure

Sen

sing

sys

tem

pro

xy

XM

L

LACUSoftwaremodules

Remote Administration

console

OSGI

Computing Subsystem Architecture

User Interface

Fusion SubsystemLACU Manager

GRID C.S.

From/To LACUs

Simulation IF

Simulation Subsystem

FF Sim FL Sim

Storage Subsystem

DS Manager

Data StorageDB

GIS

User Interface

Fusion SubsystemLACU Manager

GRID C.S.

From/To LACUs

Simulation IF

Simulation Subsystem

FF Sim FL Sim

Storage Subsystem

DS Manager

Data StorageDBDB

GIS

LACU Fusion Component (FF)

• Receives sensor data and executes fusion algorithms.

• Generates fused data with degree of reliability.

• Fused data fed to the Computing Subsystem.

2nd Level Fusion Process (FF) in CS

• Camera data and Fused sensor data from LACUs are processed .

• Algorithms:– Voting algorithm– Dempster Shafer Theory of Evidence

• Triggers simulations according to the final probability of fire, flood, etc.

• Simulation of several possible futures through the GRID infrastructure.

• GRID used to simulate many possible future situations (1-100) under different propagation conditions

• results analyzed to identify the size and shape of the resulting burned area, and provide probabilities for each of the simulated futures.

FF simulation modeling

• Conditions stored in metadata catalog

• Engine for parsing and evaluating conditions based on incoming data.

• Interface with Simulation subsystem triggering model execution based on fusion result

Condition evaluation engine

Sensor input data

Metadata Catalog

conditions

Fusion Decision

FL Modeling

SCIER GRID and FL with web-services

Fusion

Sensors

Storage for:- fire models executables- model input data- model structural data- model output data- Pre-prepared WS + CS scenarios

Services

GRIDSCIER central point

Collect data (location+time+value):- precipitation- temperature- humidity- wind

ArcGIS

Executes fire modelling jobs

User interface

Simulation PC(s)

Executes 1D flood modelling jobsIncorporates pre-calculated flood maps lookup

Forwards data to storageIssues simulation jobsRuns web server with UI

Web services

File share, SQLSQ

L

HTTP

System Validation & Evaluation

• Testing includes both fires and flooding– Gestosa, Portugal (experimental and

controlled burns)– Stamata, Attica, Greece (fires, system

deployed)– Aubagne, Bouches du Rhone, S. France

(fires and floods, deployment underway)– Brno, Czech Republic (floods, system

deployed)

System Validation & Evaluation

• Gestosa, Portugal (experimental and controlled burns)

System Validation & Evaluation

• Stamata, Attica, Greece (fires, system deployed)

System Validation & Evaluation

• Aubagne, Bouches du Rhone, S. France (fires and floods, deployment underway)

Thank you!

Project website: http://www.scier.eu