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Link to original content: https://doi.org/10.20965/jdr.2017.p0557
JDR Vol.12 p.557 (2017) | Fuji Technology Press: academic journal publisher
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JDR Vol.12 No.3 pp. 557-568
(2017)
doi: 10.20965/jdr.2017.p0557

Paper:

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Water Leakage Detection System for Underground Pipes by Using Wireless Sensors and Machine Learning

Shigeru Teruhi*, Yo Yamaguchi*, and Junichi Akahani**

*NTT Network Innovation Laboratories, NTT Corporation
Hikarinooka, Yokosuka 239-0847, Japan

**NTT Advanced Technology Corporation, Kawasaki, Japan

Received:
September 21, 2016
Accepted:
January 28, 2017
Online released:
May 29, 2017
Published:
June 1, 2017
Creative Commons License
Keywords:
water leakage, underground structure, wireless sensor, machine learning
Abstract
Expectations have been raised for a social infrastructure maintenance system that utilizes IoT/M2M technology. We are working to develop a water leakage detection system using wireless sensors set into the water pipes. However, radio propagation is restricted in the constrained underground environment of water pipes so how to collect the data and identify leaks is an issue. We propose a system that combines drive-by data collection and static data collection, in order to collect acoustic sensor data from a wide area effectively [1]. We also propose a random noise removal method by focusing on the constancy of the leak sound, in order to identify leaks accurately. We show the results of evaluating the effectiveness of the proposed system in tests and real fields.
Cite this article as:
S. Teruhi, Y. Yamaguchi, and J. Akahani, “Water Leakage Detection System for Underground Pipes by Using Wireless Sensors and Machine Learning,” J. Disaster Res., Vol.12 No.3, pp. 557-568, 2017.
Data files:
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