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UrbanFlood. The Common Information Space: A Framework for Early Warning Systems Bartosz Baliś , Tomasz Bartyński , Marian Bubak, Grzegorz Dyk , Tomasz Gubała, Marek Kasztelnik. Motivation : Early Warning Systems against natural disasters. Complex distributed systems

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Urbanflood

UrbanFlood

The Common Information Space: A Framework for EarlyWarning Systems

Bartosz Baliś, Tomasz Bartyński, Marian Bubak,Grzegorz Dyk, Tomasz Gubała, Marek Kasztelnik


Motivation early warning systems against natural disasters

Motivation: EarlyWarning Systems againstnaturaldisasters

  • Complexdistributedsystems

  • Mission and time-critical

  • Involveresource-intensivecomputations and data analysis

  • Requirecompositions of resourcesintocomplexscenarios

    • Sensors monitoring objects and naturalphenomena

    • Apps for data analysis & simulation

    • ICT infrastructure (hardware + software)


Example urban area flood simulation

Example: Urban areafloodsimulation


Goals

Goals

Develop a frameworkfacilitating development, deployment and execution of EWSs: the Common Information Space

EWS development

EWS reference model

EWS development framework

EWS deployment

EWS blueprints

EWS-factory-as-a-service

EWS execution

CIS runtime services for resourceallocation, self-monitoring, self-healing, mission-criticaloperation, and urgentcomputing


Cis architecture and ews reference model

CIS Architecture and EWS reference model


Cis as a system factory

CIS as a system factory


Case study flood early warning system

Case study: FloodEarlyWarning System

  • Protection of urbanareasagainstfloodsdue to dikefailures

  • Real-time monitoring of embankmentsusingwirelesssensors

  • A casade of modelsfor:

    • Anomalydetection

    • Riskassessment

    • Impactprediction


Dike anomaly detection

Dike anomaly detection

Anomalydetectionusingneuralcloudclassification


Dike breach risk computation

Dike breach risk computation

Distribution of probability of dike breach is calculated

Depending on the current water level


Flood simulation

Flood simulation


Life safety model

Life Safety Model

Loss of life estimatedue to flood

Initialstate of the world

Post-eventsummary 

(red color = deceased)


Virtual dike

Virtual Dike

Computer model of a dike

Simulation of dike behaviour

Useful for „what-if” experiments

Also for testing the real EWS („emergency drill”)


Flood early warning system workflow

FloodEarlyWarning System workflow


Flood ews implementation

Flood EWS: implementation


Example flood simulation part

Example: FloodSimulation Part


Conclusion

Conclusion

CIS contributes conceptually andtechnologically in the following areas:

  • CIS as a factory for Early Warning Systems

    • Proven by theimplementation of the Flood EWS

  • CIS as a geo-ICT technology for spatial data processingservices

    • CIS adopts guidelines of the INSPIRE directive andleverages OGC standards for service interfaces

  • CIS as a runtime infrastructure forresource-intensivemission-critical systems


Urbanflood

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dice.cyfronet.pl/cis


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