Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
Based on the in-depth analysis of the causes of the large-scale water supply pipe network explosion at home and abroad,the paper discusses the neural network modeling technology for quickly and accurately locating the water pipe network.Furthermore,the remedial measures of the pipe network squib in the field were adopted,and the BP neural network deep learning method was proposed to carry out the intelligent positioning of the water pipe network bursting.Based on the construction of a miniature hydraulic model based on BP neural network analysis,through the correlation analysis of the flow change of 5 positions and the pressure monitoring point change of 17 positions when the pipe network bursts,the artificial neural network deep learning is further used to diagnose the position of the pipe network where the pipe burst is located.In this paper,the small-scale water supply pipe network built by the laboratory is taken as an example to verify the research method of the pipe burst positioning.
Luohua Wang Mou Lv Xiaobo Miao Li Li Fengchao Liang
School of Environment and Municipal Engineering,Qingdao University of Technology,266033 Qingdao,China
国际会议
2018 International Symposium on Water System Operations(ISWRSO 2018)(2018年水资源系统及调度国际研讨会)
北京
英文
1-5
2018-10-12（万方平台首次上网日期，不代表论文的发表时间）