Chapter
Aug 6, 2020
Pipelines 2020

Finding Big Leaks with Big Data: Case Studies from an Internet-of-Things Leak Detection Platform

Publication: Pipelines 2020

ABSTRACT

This paper presents results from an “Internet of Things” leak detection technology that remotely and non-invasively monitors pipelines at the scale of a distribution network. Findings are presented from the deployment of 10,000+ acoustic leak detection nodes with dozens of utility partners. The design and installation of the nodes, the type of data collected, and the approach to data analysis is outlined. A series of case studies are described where the technology has found leaks that failed to surface: large or significant leaks, leaks that were difficult to pinpoint, and unexpected signals found in the process. Both the data analysis and utility perspectives are shown, comparing remotely collected acoustic data to observations from field technicians. The successes and limitations of the technology are both discussed.

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REFERENCES

Folkman, S. (2018). Water Main Break Rates In the USA and Canada: A Comprehensive Study. Utah State University, 49.
Jardine, A., & Tsang, A. (2013). Maintenance, Replacement, and Reliability. Boca Raton: CRC Press Taylor & Francis Group.
LeBlanc, C. (2018, June 13). Fixed Leak Detection Seminar: Pipelines near Creeks. AWWA Annual Conference and Exhibition – Breakfast Seminar. Las Vegas, Nevada, United States: NA.
Murray, P. and Khan, W. (2019). Implementing Transmission Main Leak Monitoring to Reduce Risk and Non-Revenue Water. ASCE Pipelines 2019: Multidisciplinary Topics, Utility Engineering, and Surveying. 2019.
Stacey, E. (2016). Permanent Leak Detection for Water Pipelines: Using Technology To Identify Leaks Prior to Pipeline Failures. ASCE Pipelines, 162–172.
Titus, R., & Murray, P. (2018). Business Case Considerations for Leakage Control. American Water Works Association: Annual Conference and Exhibition> Nevada: AWWA.

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Published In

Go to Pipelines 2020
Pipelines 2020
Pages: 212 - 220
Editors: J. Felipe Pulido, OBG, Part of Ramboll and Mark Poppe, Brown and Caldwell
ISBN (Online): 978-0-7844-8321-3

History

Published online: Aug 6, 2020
Published in print: Aug 6, 2020

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Authors

Affiliations

Matthew Barrett, Ph.D. [email protected]
Mueller Company, Toronto, ON, Canada. Email: [email protected]
Zohreh Andalibi, Ph.D. [email protected]
Mueller Company, Toronto, ON, Canada. Email: [email protected]
Tatiana Baeva [email protected]
Mueller Company, Toronto, ON, Canada. Email: [email protected]
Mueller Company, Toronto, ON, Canada. Email: [email protected]

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