Accurate and Optimal Sensor Placement for Source Identification of Water Distribution Networks

Un placement de capteurs optimal pour l'identification des sources de contamination dans un réseau de distribution d'eau

Ung, H. ; Piller, O. ; Gilbert, D. ; Mortazavi, I.

Type de document
Article de revue scientifique à comité de lecture
Langue
Anglais
Affiliation de l'auteur
IRSTEA BORDEAUX UR ETBX FRA ; IRSTEA BORDEAUX UR ETBX FRA ; IRSTEA BORDEAUX UR ETBX FRA ; IMATH CNAM PARIS FRA
Année
2017
Résumé / Abstract
The problem of sensor placement for early-warning detection systems is a topical issue for industry and utilities who want to equip their networks with such technology. Solving the problem entails finding the best sensor locations that optimize a criterion such as detection rate or time to detection. Few methods exist concerning sensor placement that optimize the result of a source identification method. This paper fills the gap by coupling an adjoint source identification method and a Monte Carlo sensor placement algorithm. The first one is treated through the use of a backtracking algorithm. It uses binary responses at sensors to calculate the ranked list of potential contamination location nodes and contamination times. A criterion is then defined based on the source identification accuracy and specificity. Finally, two optimizing methods that maximize this criterion are proposed: a greedy algorithm and a local search algorithm, which are both coupled with a Monte Carlo method to give the locations of sensors that are the best suited for allocating the source of a contamination. These methods are tested on a 2,500-node network to evaluate their efficiency.
Source
Journal of Water Resources Planning and Management-ASCE, vol. 143, num. 8, 12 p.

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