Characterization of acoustic signals collected from a smart water network for leak detection
Date
2025
Authors
Zeng, W.
Lambert, M.
Stephens, M.
Wang, X.
Liu, R.
Yin, C.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the 41st IAHR World Congress, 2025, pp.2189-2192
Statement of Responsibility
Wei Zeng, Martin Lambert, Mark Stephens, Xiang Wang, Ruilin Liu, Chengcheng Yin
Conference Name
World Congress (IAHR) (22 Jun 2025 - 27 Jun 2025 : Singapore)
Abstract
Distributed acoustic sensors have been widely used in water distribution systems for leak detection. Apart from leak noise, acoustic noises generated from pumping/valve operation, pedestrians, traffic, rain and other sources in the water system can be also captured by the acoustic sensors, leading to a large amount of false positive alerts in such IoT-based water asset monitoring systems. In this study, dedicatedly designed signal processing methods have been proposed to extract acoustic features of different types of acoustic noise, including leak noise and non-leak noise that commonly occur in real water networks. These tailored acoustic features are found to be crucial in feature-based leak detection in real water network environments.
School/Discipline
Dissertation Note
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© 2025 IAHR.