Data Analysis and Application Exploration of Support Vector Machine in Leakage Detection of Water Supply Network
Water leakage in water supply networks is a common problem that has been troubling the safety and reliability of water supply systems for a long time. With the rapid development and widespread application of artificial intelligence technology,more and more researchers are applying it to the field of water leakage detection in water supply networks. The location information of leaks in the pipeline network can be determined by utilizing the distribution of pressure or flow values at various points in the pipeline network. However,this is a complex reverse engineering problem. This article uses artificial intelligence technology support vector machine ( SVM) to process the pressure and flow values in the pipeline network to obtain the location and size information of leaks in the pipeline network.
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