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SMaRT-OnlineWDN
FunderFrench National Research Agency (ANR)
Funder Contribution €952,999.00
DurationFrom 26 Sep 2011
Project codeANR-11-SECU-0006
Open Access mandatePublications: NoResearch data: No
Identifiers
Description
Water Distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contamination. Until now, no monitoring system is capable to protect a WDN in real time. Powerful online sensor systems are currently developed and the prototypes are capable to detect a small change in water quality. The immediate future consists in water service utilities that are installing their networks with water quantity and water quality sensors producing a continuous and huge data stream to treat. For taking appropriate decisions and countermeasures, WDN operators will need to dispose of 1) reliable online models both for the hydraulics and water quality predictions and of 2) methods for contaminant source identification backtracking from the data history. Acquisition of such a huge data stream and assimilation raise a challenging problem. The main objective of SMaRT-OnlineWDN is the development of an online security management toolkit for water distribution networks (WDN) that is based on sensor measurements of water quality as well as water quantity. Its field of application ranges from detection of deliberate contamination including source identification and decision support for effective countermeasures to improve operation and control of a WDN under normal and abnormal conditions (dual benefit). Detailed information regarding contamination sources (localization and intensity) is explored by means of an online running model, which is automatically calibrated to the measured sensor data. In this project, the technical research work is completed with a sociological, economical and management analysis. SMaRT-OnlineWDN combines applied mathematics, civil and environment engineering, fluid mechanics research and social science and economics, in a pluridisciplinarity approach. To this extend, four main research objectives are defined as 1) Online Simulation Model considering hydraulic state and water quality, 2) Optimal Location of Sensors based on the online simulation model, 3) Online Source Identification of Contaminants and 4) Risk analysis, identification and evaluation of impacts (real impacts and perceived ones). The French-German cooperative research project consists of end users (BWB in Germany, CUS and Veolia-Vedif in France), technical and socio-economic research institutions (Fraunhofer IOSB, TZW, Irstea, ENGEES) and industrial partners on both French and German sides (Veolia-Veri, 3S Consult). It ideally combines top-level research with the practical needs of water supply utilities. Among the main expected results, two simulation software tools are planned to be extended for online use: those of partners Irstea and 3S Consults. The Three WDN operators will benefit from the outputs and data traceability technology.
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Water Distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contamination. Until now, no monitoring system is capable to protect a WDN in real time. Powerful online sensor systems are currently developed and the prototypes are capable to detect a small change in water quality. The immediate future consists in water service utilities that are installing their networks with water quantity and water quality sensors producing a continuous and huge data stream to treat. For taking appropriate decisions and countermeasures, WDN operators will need to dispose of 1) reliable online models both for the hydraulics and water quality predictions and of 2) methods for contaminant source identification backtracking from the data history. Acquisition of such a huge data stream and assimilation raise a challenging problem. The main objective of SMaRT-OnlineWDN is the development of an online security management toolkit for water distribution networks (WDN) that is based on sensor measurements of water quality as well as water quantity. Its field of application ranges from detection of deliberate contamination including source identification and decision support for effective countermeasures to improve operation and control of a WDN under normal and abnormal conditions (dual benefit). Detailed information regarding contamination sources (localization and intensity) is explored by means of an online running model, which is automatically calibrated to the measured sensor data. In this project, the technical research work is completed with a sociological, economical and management analysis. SMaRT-OnlineWDN combines applied mathematics, civil and environment engineering, fluid mechanics research and social science and economics, in a pluridisciplinarity approach. To this extend, four main research objectives are defined as 1) Online Simulation Model considering hydraulic state and water quality, 2) Optimal Location of Sensors based on the online simulation model, 3) Online Source Identification of Contaminants and 4) Risk analysis, identification and evaluation of impacts (real impacts and perceived ones). The French-German cooperative research project consists of end users (BWB in Germany, CUS and Veolia-Vedif in France), technical and socio-economic research institutions (Fraunhofer IOSB, TZW, Irstea, ENGEES) and industrial partners on both French and German sides (Veolia-Veri, 3S Consult). It ideally combines top-level research with the practical needs of water supply utilities. Among the main expected results, two simulation software tools are planned to be extended for online use: those of partners Irstea and 3S Consults. The Three WDN operators will benefit from the outputs and data traceability technology.
