Intelligent Location of Leakage in Water Supply Network Based on Bp Neural Network Deep Learning

Abstract

The use of BP neural networks depends mainly on operators' confidence in them. In most water supply companies, the hydraulic Eq. integrated into the simulation model can be used to generate models from the geographic information system (GIS) automatically. Upon the comparison of the first simulation with the available measurement results, intelligent location is required. In this paper, the adjustment range of the BP neural network deep learning algorithm from macro to micro correction level is introduced. In the macro intelligent location process, analysis is performed based on engineers, and the conclusions are formalized for future use in other networks. The key point of the micro-intelligent location is to set the transmitter coefficients through genetic algorithm optimization. The work results include an adjusted decision model, intelligent location of leakage in the water supply network, and methods applied to other parts of the network.