Acoustic Leak Detection in Water Networks

• URL: http://arxiv.org/abs/2012.06280v2
• Date: Tue, 5 Jan 2021 11:21:02 GMT
• Title: Acoustic Leak Detection in Water Networks
• Authors: Robert M\"uller, Steffen Illium, Fabian Ritz, Tobias Schr\"oder, Christian Platschek, J\"org Ochs, Claudia Linnhoff-Popien
• Abstract summary: We present a general procedure for acoustic leak detection in water networks. Based on recordings from seven contact microphones attached to the water supply network of a municipal suburb, we trained several shallow and deep anomaly detection models.
• Score: 6.35903710791033
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: In this work, we present a general procedure for acoustic leak detection in water networks that satisfies multiple real-world constraints such as energy efficiency and ease of deployment. Based on recordings from seven contact microphones attached to the water supply network of a municipal suburb, we trained several shallow and deep anomaly detection models. Inspired by how human experts detect leaks using electronic sounding-sticks, we use these models to repeatedly listen for leaks over a predefined decision horizon. This way we avoid constant monitoring of the system. While we found the detection of leaks in close proximity to be a trivial task for almost all models, neural network based approaches achieve better results at the detection of distant leaks.

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