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Robust Hierarchical Sensor Optimization Placement Method for Leak Detection in Water Distribution System

Author

Listed:
  • Zukang Hu

    (Hohai University)

  • Wenlong Chen

    (Changjiang River Scientific Research Institute
    Changjiang River Scientific Research Institute)

  • Beqing Chen

    (Changjiang River Scientific Research Institute
    Changjiang River Scientific Research Institute)

  • Debao Tan

    (Hohai University
    Changjiang River Scientific Research Institute
    Changjiang River Scientific Research Institute)

  • Yu Zhang

    (Changjiang River Scientific Research Institute
    Changjiang River Scientific Research Institute)

  • Dingtao Shen

    (Changjiang River Scientific Research Institute
    Changjiang River Scientific Research Institute)

Abstract

The quality of sensor placement in water distribution systems (WDSs) has considerable impact on leak detection accuracy and identification efficiency. Sensor-placement optimization has long been a major issue in the research of WDS. Conventional hierarchical algorithms based on joint entropy have been widely applied to sensor-placement optimization in the engineering-safety monitoring field. Although such algorithms can effectively reduce information redundancy and are computationally very efficient, they fail to fully account for various practical failure scenarios. Sensor failures introduce bias into monitored data and disrupt the monitoring process, thereby compromising the monitoring performance of a given sensor network. To overcome this drawback, this study proposes a new optimal sensor-placement scheme for WDSs based on an improved hierarchical algorithm. The new optimization scheme works by sequentially selecting sensors using joint entropy as a sensor-placement objective function and fully considers various scenarios of a single-sensor failure to ensure minimal information entropy loss during sensor failure. Simulation is performed on an example network (i.e., Net 3 from EPANET), revealing that when a sensor fails, information entropy loss is 0.011 for conventional sensor-placement schemes, but it is only 0.007 for the improved scheme. Statistical analysis shows that the improved scheme has a higher robustness and adaptability for leak detection and identification, owing to the full consideration of various scenarios of a single-sensor failure.

Suggested Citation

  • Zukang Hu & Wenlong Chen & Beqing Chen & Debao Tan & Yu Zhang & Dingtao Shen, 2021. "Robust Hierarchical Sensor Optimization Placement Method for Leak Detection in Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 3995-4008, September.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:12:d:10.1007_s11269-021-02922-3
    DOI: 10.1007/s11269-021-02922-3
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    References listed on IDEAS

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    1. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    2. Bruno Brentan & Silvia Carpitella & Daniel Barros & Gustavo Meirelles & Antonella Certa & Joaquín Izquierdo, 2021. "Water Quality Sensor Placement: A Multi-Objective and Multi-Criteria Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 225-241, January.
    3. Rejeesh Rayaroth & Sivaradje G, 2019. "Random Bagging Classifier and Shuffled Frog Leaping Based Optimal Sensor Placement for Leakage Detection in WDS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3111-3125, July.
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