Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning

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...

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Main Authors: Wang Luohua, Lv Mou, Miao Xiaobo, Li Li, Liang Fengchao
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201824602029
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spelling doaj-8e705f76d8204c3783b1185dfd6155202021-02-02T00:34:48ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012460202910.1051/matecconf/201824602029matecconf_iswso2018_02029Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep LearningWang Luohua0Lv Mou1Miao Xiaobo2Li Li3Liang Fengchao4School of Environment and Municipal Engineering, Qingdao University of TechnologySchool of Environment and Municipal Engineering, Qingdao University of TechnologySchool of Environment and Municipal Engineering, Qingdao University of TechnologySchool of Environment and Municipal Engineering, Qingdao University of TechnologySchool of Environment and Municipal Engineering, Qingdao University of TechnologyBased 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.https://doi.org/10.1051/matecconf/201824602029
collection DOAJ
language English
format Article
sources DOAJ
author Wang Luohua
Lv Mou
Miao Xiaobo
Li Li
Liang Fengchao
spellingShingle Wang Luohua
Lv Mou
Miao Xiaobo
Li Li
Liang Fengchao
Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
MATEC Web of Conferences
author_facet Wang Luohua
Lv Mou
Miao Xiaobo
Li Li
Liang Fengchao
author_sort Wang Luohua
title Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
title_short Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
title_full Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
title_fullStr Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
title_full_unstemmed Research on Intelligent Location Method of Water Supply Pipe Network Burst Based on BP Neural Network Deep Learning
title_sort research on intelligent location method of water supply pipe network burst based on bp neural network deep learning
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/matecconf/201824602029
work_keys_str_mv AT wangluohua researchonintelligentlocationmethodofwatersupplypipenetworkburstbasedonbpneuralnetworkdeeplearning
AT lvmou researchonintelligentlocationmethodofwatersupplypipenetworkburstbasedonbpneuralnetworkdeeplearning
AT miaoxiaobo researchonintelligentlocationmethodofwatersupplypipenetworkburstbasedonbpneuralnetworkdeeplearning
AT lili researchonintelligentlocationmethodofwatersupplypipenetworkburstbasedonbpneuralnetworkdeeplearning
AT liangfengchao researchonintelligentlocationmethodofwatersupplypipenetworkburstbasedonbpneuralnetworkdeeplearning
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