Acoustic Leak Detection in Water Networks

Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popien

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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Paper Citation


in Harvard Style

Müller R., Illium S., Ritz F., Schröder T., Platschek C., Ochs J. and Linnhoff-Popien C. (2021). Acoustic Leak Detection in Water Networks.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 306-313. DOI: 10.5220/0010295403060313


in Bibtex Style

@conference{icaart21,
author={Robert Müller and Steffen Illium and Fabian Ritz and Tobias Schröder and Christian Platschek and Jörg Ochs and Claudia Linnhoff-Popien},
title={Acoustic Leak Detection in Water Networks},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={306-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010295403060313},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Acoustic Leak Detection in Water Networks
SN - 978-989-758-484-8
AU - Müller R.
AU - Illium S.
AU - Ritz F.
AU - Schröder T.
AU - Platschek C.
AU - Ochs J.
AU - Linnhoff-Popien C.
PY - 2021
SP - 306
EP - 313
DO - 10.5220/0010295403060313