[PDF] SmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines

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DOI:10.3390/JSAN3010064
Corpus ID: 16570191

@article{Sadeghioon2014SmartPipesSW, title={SmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines}, author={Ali M. Sadeghioon and Nicole Metje and David N. Chapman and Carl J. Anthony}, journal={J. Sens. Actuator Networks}, year={2014}, volume={3}, pages={64-78}, url={https://api.semanticscholar.org/CorpusID:16570191}}

A. Sadeghioon, N. Metje, C. Anthony
Published in J. Sens. Actuator Networks 20 February 2014
Engineering, Environmental Science
J. Sens. Actuator Networks

The design, development and testing of a smart wireless sensor network for leak detection in water pipelines, based on the measurement of relative indirect pressure changes in plastic pipes, are presented.

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Topics

Sensor Nodes (opens in a new tab)Leak Detection (opens in a new tab)Field Trials (opens in a new tab)

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How wireless sensor networks (WSNs) can increase the spatial and temporal resolution of operational data from pipeline infrastructures and thus address the challenge of near real-time monitoring and eventually control is discussed.

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The different options available to power the sensors (non-regenerative and generative) are focused on and ideas for the communication between these sensors and power management systems are introduced.

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In recent years, wireless sensor network systems have increasingly been used to monitor infrastructure health. Advances in electronics and sensing systems have enabled the development of various…

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This paper shows that the wireless underground sensor networks (WUSN), which communicates in the soil is different from the terrestrial WSN, and the WUSN architecture for agriculture information system is introduced.

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An increasing number of pipelines are constructed in remote regions affected by harsh environmental conditions where pipeline routes often cross mountain areas which are characterized by unstable…

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A system could automate in real time much of the pipeline data acquisition, interpretation, and evaluation process, and capture the experience and judgment of expert utility engineers in performing condition assessment and identification of appropriate rehabilitation and maintenance strategies.

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