DocumentCode
3218769
Title
Countermeasures of fast location of pipe bursts in Guangzhou based on neural network technology
Author
Shen, Wang ; Yu, Tu ; Zhihong, Wang ; Yuli, Chen ; Wen, Sun
Author_Institution
Sch. of Civil & Transp. Eng., Guangdong Univ. of Technol., Guangzhou, China
fYear
2011
fDate
22-24 April 2011
Firstpage
5824
Lastpage
5828
Abstract
Recently, with the wide use of on-line monitoring technique in urban water supply networks, pipe network crack diagnosis based on pressure and (or) flow analysis has become a major development direction home and abroad. Meanwhile, in order to solve complex pipe network problems, neural network technology has gained more and more public attention. This paper, in accordance with the actual situations in Guangzhou, through the analysis of the, function, advantages and the results of relevant research of the neural network structure, elaborates the feasibility of its application in the development of the fast locating technology of burst pipes, providing the technical implementation measures for demonstration project.
Keywords
cracks; monitoring; neural nets; pipes; water supply; Guangzhou; flow analysis; neural network technology; online monitoring; pipe bursts; pipe network crack diagnosis; urban water supply networks; Accidents; Analytical models; Artificial neural networks; Biological neural networks; Monitoring; Pipelines; Water pollution; fast location of pipe bursts; neural network technology; water supply network;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location
Lushan
Print_ISBN
978-1-4577-0289-1
Type
conf
DOI
10.1109/ICETCE.2011.5774400
Filename
5774400
Link To Document