A sensor location model to detect contaminations in water distribution networks - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Communication Dans Un Congrès Année : 2005

A sensor location model to detect contaminations in water distribution networks

Un modèle pour localiser des capteurs afin de protéger des contaminations dans les réseaux d'eau potable

Résumé

Real-time continuous water quality monitoring could provide an increased barrier to protect consumers against contaminations. Among several challenges to be faced to successfully build such a system, there is the sensor location problem that should be designed to satisfy several requirements. A general simulation framework describes the computational tasks necessary to assess consumer exposure from contamination event scenarios. A mixed integer linear program is proposed to identify optimal sensor locations to detect random contaminations occurring in drinking water systems under unsteady hydraulic conditions. Such problem formulation is flexible to accommodate different design objectives whose mathematical differences are only the coefficient values while the number of variables and constraints remains identical. Such feature reduces the computational effort required to determine the tradeoff solutions and it makes more straightforward results analysis and comparison. To optimize problem coefficients calculation, several computational tasks are decoupled. In particular, for large contamination event ensembles, concentration dynamics at consumer nodes can be calculated using a linear input/output model without requiring to execute a water quality model simulation for every contamination scenario.
Fichier non déposé

Dates et versions

hal-02587518 , version 1 (15-05-2020)

Identifiants

Citer

Marco Propato, Olivier Piller, James G. Uber. A sensor location model to detect contaminations in water distribution networks. World Water and Environmental Resources Congres (EWRI05), EWRI, May 2005, Anchorage, AK, United States. 12 p., ⟨10.1061/40792(173)45⟩. ⟨hal-02587518⟩

Collections

IRSTEA INSMI INRAE
18 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More