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Type: Conference paper
Title: Designing sensor networks for leak detection in water pipeline systems
Author: Cardell-Oliver, R.
Scott, V.
Chapman, T.
Morgan, J.
Simpson, A.
Citation: Proceedings of the10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2015, pp.1-6
Publisher: IEEE
Issue Date: 2015
ISBN: 9781479980550
Conference Name: Tenth International Conference on Intelligent Sensors Sensor Networks & Information Processing (IISSNIP) (7 Apr 2015 - 9 Apr 2015 : Singapore, Singapore)
Statement of
Rachel Cardell-Oliver, Verity Scott, Tom Chapman, Jon Morgan, Angus Simpson
Abstract: Undetected leaks in water distribution networks are a significant problem both economically and environmentally. Across Australia 12% of water is estimated to be lost through leaks and the annual cost to water utilities worldwide is US$14 billion. A sensor network that measures water flow in the pipes can be used to predict the location and size of leaks. Recent advances in sensor technology and lower costs mean that large scale sensor networks may soon be an economic choice for solving the leak detection problem. This paper presents a sensor network design method that generates human-readable rules for leak detection. Additionally, for a given network and range of operating scenarios, it discovers the best locations for flow sensors. The method is demonstrated to make acceptably accurate predictions under real-world conditions of uncertain measurements. It also allows trade-offs to be made between minimising the costs of installing and maintaining sensors and maximising prediction accuracy. For example, in some cases sufficiently accurate predictions can be made using sensors on only half the pipes.
Rights: ©2015 Crown
DOI: 10.1109/ISSNIP.2015.7106909
Appears in Collections:Aurora harvest 3
Civil and Environmental Engineering publications

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