Optimal Meter Placements Based on Multiple Data-Driven Statistical Methods for Effective Pipe Burst Detection in Water Distribution System

Sehyeong Kim, Donghwi Jung

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Pipe burst events in the water distribution system (WDS) should be rapidly detected to secure the system functionality and reliability. Effective and efficient pipe burst detection (PBD) techniques can reduce water losses and prevent potential secondary failure (e.g., sinkhole) caused by ground liquefaction. This paper proposed an optimal meter placement method for PBD based on six data-driven statistical process control (SPC) methods. Total five meter placements are deduced by the optimization process, harmony search (HS) algorithm. They consist of two heterogeneous meters measuring different hydraulic quality characteristic values: pressure and flow rate. The optimal meter sets sought were compared with respect to two detection effectiveness indicators: true detection probability and false detection probability. The final optimal meter set should be generally effective for all utilized methodologies, therefore, the objective function is generated with those indicators and weights of them to reflect their effectiveness fairly. Three sets of synthetic time series data were produced from a network hydraulic EPANET model of Austin in Texas to demonstrate the proposed method: historical, normal, and abnormal data.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages353-362
Number of pages10
DOIs
Publication statusPublished - 2022

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume140
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

Bibliographical note

Funding Information:
Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1006481).

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Harmony search algorithm
  • Optimal meter placements
  • Pipe burst detection
  • Statistical process control method
  • Water distribution system

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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