Title: Water leakage detection and localisation based on GCC-PHAT algorithm

Authors: Yuting Liu; Bo Tao; Guozhang Jiang; Gongfa Li; Xun Zhang; Donghai Chen

Addresses: Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, China; Wuhan University of Science and Technology, Wuhan, 430081, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, China; Wuhan University of Science and Technology, Wuhan, 430081, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, China; Wuhan University of Science and Technology, Wuhan, 430081, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, China; Wuhan University of Science and Technology, Wuhan, 430081, China ' Changjiang Institute of Survey, Planning, Design and Research, Wuhan, Hubei 430081, China ' Changjiang Institute of Survey, Planning, Design and Research, Wuhan, Hubei 430081, China

Abstract: Detection and localisation of pipeline leakage is an effective measure to save water resources. Generalised cross-correlation algorithm is widely used in leak detection. In this paper, by comparing the weighted algorithms of generalised cross-correlation functions, the GCC-PHAT algorithm is used to design a leak detection and positioning system, and relevant experiments are carried out. Multiple sensors are used (including flowmeters, pressure gauges and vibration sensors) to detect leaks and obtain relevant data in the experiment and locate the leak point through the GCC-PHAT algorithm. It is found that the method has better positioning performance through experiments.

Keywords: water leakage; detection; localisation; GCC-PHAT algorithm.

DOI: 10.1504/IJWMC.2020.109264

International Journal of Wireless and Mobile Computing, 2020 Vol.19 No.1, pp.55 - 61

Received: 20 Jan 2020
Accepted: 17 Mar 2020

Published online: 02 Sep 2020 *

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