Acoustic Leak Detection in Water Networks

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

2021

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.

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