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arXiv · 2012.06280

Acoustic Leak Detection in Water Networks

Robert Müller·Steffen Illium·Fabian Ritz·Tobias Schröder·Christian Platschek·Jörg Ochs·Claudia Linnhoff-Popien
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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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Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popien. 2020-12-11. Acoustic Leak Detection in Water Networks. https://doi.org/10.5220/0010295403060313

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