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Sensor placement strategy for locating leaks using lean graphs

Published: 21 April 2017 Publication History

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.

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Cited By

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  • (2024)A Novel Framework of Constructing on Water Pipeline Networks by Node Embedding Approach2024 IEEE Conference on Dependable, Autonomic and Secure Computing (DASC)10.1109/DASC64200.2024.00012(40-46)Online publication date: 5-Nov-2024
  • (2023)An Advanced Graph Embedding Framework with Node Embedding to Design Water Pipeline Networks2023 14th International Conference on Information & Communication Technology and System (ICTS)10.1109/ICTS58770.2023.10330890(243-248)Online publication date: 4-Oct-2023
  • (2021)Sensor Placement Strategy to Detect Corrosion in Water Distribution Networks2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)10.1109/ISRITI54043.2021.9702855(35-40)Online publication date: 16-Dec-2021
  • Show More Cited By

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Published In

cover image ACM Other conferences
CySWATER '17: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks
April 2017
52 pages
ISBN:9781450349758
DOI:10.1145/3055366
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 April 2017

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Author Tags

  1. graph partitioning
  2. leak detection
  3. lean graph
  4. sensor placement strategy

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  • Short-paper

Funding Sources

  • CRC for Water Sensitive Cities - Australia
  • Directorate GeneralofResourcesforScience,TechnologyandHigherEducation (DG-RSTHE) - Indonesia

Conference

CPS Week '17
CPS Week '17: Cyber Physical Systems Week 2017
April 21, 2017
Pennsylvania, Pittsburgh

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Cited By

View all
  • (2024)A Novel Framework of Constructing on Water Pipeline Networks by Node Embedding Approach2024 IEEE Conference on Dependable, Autonomic and Secure Computing (DASC)10.1109/DASC64200.2024.00012(40-46)Online publication date: 5-Nov-2024
  • (2023)An Advanced Graph Embedding Framework with Node Embedding to Design Water Pipeline Networks2023 14th International Conference on Information & Communication Technology and System (ICTS)10.1109/ICTS58770.2023.10330890(243-248)Online publication date: 4-Oct-2023
  • (2021)Sensor Placement Strategy to Detect Corrosion in Water Distribution Networks2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)10.1109/ISRITI54043.2021.9702855(35-40)Online publication date: 16-Dec-2021
  • (2021)Sensor Placement Strategy to Localize Leaks in Water Distribution Networks with Fluctuating Minimum Night Flow2021 13th International Conference on Information & Communication Technology and System (ICTS)10.1109/ICTS52701.2021.9608573(264-270)Online publication date: 20-Oct-2021
  • (2020)Urban water supply automation – today and tomorrowJournal of Water Supply: Research and Technology-Aqua10.2166/aqua.2020.11570:4(420-437)Online publication date: 24-Nov-2020
  • (2019)Sensor Energy Preservation for Leak Quantification using Distance-Based Feature Selection Method2019 12th International Conference on Information & Communication Technology and System (ICTS)10.1109/ICTS.2019.8850942(316-322)Online publication date: Jul-2019
  • (2019)An Enhanced Sensor Placement Strategy to Quantify Small Leaks in Water Distribution Networks using Weighted Lean Graphs2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA)10.1109/IC3INA48034.2019.8949583(134-139)Online publication date: Oct-2019
  • (2019)Sweating the assets – the role of instrumentation, control and automation in urban water systemsWater Research10.1016/j.watres.2019.02.034Online publication date: Mar-2019

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