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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.
157 Citations
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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)
157 Citations
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- Valery NkemeniFabien MieyevillePierre Tsafack
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Environmental Science, Engineering
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In wireless sensor network-based water pipeline monitoring (WWPM) systems, a vital requirement emerges: the achievement of low energy consumption. This primary goal arises from the fundamental…
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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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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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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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This paper provides a tutorial introduction, a comprehensive background on this subject and also a forecast of the future of OFS for SHM, including those from the renewable energy, transportation, civil engineering and the oil and gas industry sectors.
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The design of intelligent infrastructure that can be permanently installed to detect leaks in buried pipelines is critical. This paper will describe the background theory and practical application of…
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