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| Optimized layout of pressure monitoring points in water supply network based on FCM clustering and leakage events simulation |
| XU Zhiqiang, LIU QifengSymbolj@@, LIU Jiafeng, SHAN Liming, PEI Wensi |
| College of Ecology and Environment, Inner Mongolia University, Hohhot, Inner Mongolia 010021, China |
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Abstract In order to improve the reliability of pressure monitoring points in the water supply network, a layout method of pressure monitoring points combining fuzzy C-means(FCM)clustering with the maximum perceived number of leakage events is proposed based on a District Metered Area(DMA)in a town in northern China. Firstly, the FCM algorithm was used to cluster all nodes based on the nodes pressure sensitivity coefficient matrix of water quantity change in the pipe network, and the alternative pressure monitoring points in each subclass were preselected. Then, the possible leakage events were simulated randomly to test the perception of the alternative monitoring points with different optimized combinations for the pressure changes caused by the leakage events, and the optimal monitoring points′ layout scheme was determined. The simulation results of this case show that more than 96.36% of the leakages were detected with at least three monitoring points on the premise of ensuring that at least two monitoring points can perceive the same leakage event. This method can improve the monitoring reliability and at the same time save the cost.
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Received: 25 January 2021
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