Sensor placement strategy for locating leaks using lean graphs

Ary Mazharuddin Shiddiqi, Rachel Cardell-Oliver, Amitava Datta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Undetected leaks in water distribution networks are a significant economic and environmental problem worldwide. Small leaks are hard to detect yet they contribute significantly to water losses. We propose a method to detect small leaks using a leak signature, called a lean graph, which is a sub-graph of the distribution network. Since it is not feasible to install flow sensors on every pipe, we utilize lean graphs to develop a sensor placement strategy that maximizes leak detection accuracy given a fixed number of sensors. Experimental results show the promising prospect of our approach.

Original languageEnglish
Title of host publicationProceedings - 2017 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, CySWATER 2017
PublisherAssociation for Computing Machinery, Inc
Pages11-14
Number of pages4
ISBN (Electronic)9781450349758
DOIs
Publication statusPublished - 21 Apr 2017
Event3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, CySWATER 2017 - Pittsburgh, United States
Duration: 21 Apr 2017 → …

Publication series

NameProceedings - 2017 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, CySWATER 2017

Conference

Conference3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, CySWATER 2017
Country/TerritoryUnited States
CityPittsburgh
Period21/04/17 → …

Keywords

  • Graph partitioning
  • Leak detection
  • Lean graph
  • Sensor placement strategy

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