NDLI: Countermeasures of fast location of pipe bursts in Guangzhou based on neural network technology

Content Provider	IEEE Xplore Digital Library
Author	Wang Shen Tu Yu Wang Zhihong Chen Yuli Sun Wen
Copyright Year	2011
Description	Author affiliation: Control Center of Secondary Water Supply, Guangzhou Water Supply Company, China (Sun Wen) \|\| School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China (Wang Shen; Tu Yu; Wang Zhihong; Chen Yuli)
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.
Starting Page	5824
Ending Page	5828
File Size	464535
Page Count	5
File Format	PDF
ISBN	9781457702891
e-ISBN	9781457702907
DOI	10.1109/ICETCE.2011.5774400
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fast location of pipe bursts Analytical models Water supply network Pipelines Artificial neural networks Water pollution Biological neural networks Monitoring Accidents Neural network technology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Construction of water supply pipe network based on GIS and EPANET model in Fangcun District of Guangzhou

City Pipe Network Intelligent Service Based on GIS and Internet of Things

Effect of gas movement in water supply pipelines

Research on urban water supply pipe network accident locating based on network modeling

Application analysis on the information management system for water supply network in Guangzhou

Notice of RetractionUsing Hydraulic Vulnerability Analysis to Set Hydraulic Security Monitoring Point in Water Supply Network

Research of COD Concentration Prediction Model for River Monitoring Section Based on Artificial Neural Network

Artificial Neural Network(ANN)-based nonlinear optimization of modeling on biomicrofluidic vesicles generation

Water quality evaluation of surface water based on back propagation neural network

Countermeasures of fast location of pipe bursts in Guangzhou based on neural network technology

Similar Documents

Construction of water supply pipe network based on GIS and EPANET model in Fangcun District of Guangzhou

City Pipe Network Intelligent Service Based on GIS and Internet of Things

Effect of gas movement in water supply pipelines

Research on urban water supply pipe network accident locating based on network modeling

Application analysis on the information management system for water supply network in Guangzhou

Notice of RetractionUsing Hydraulic Vulnerability Analysis to Set Hydraulic Security Monitoring Point in Water Supply Network

Research of COD Concentration Prediction Model for River Monitoring Section Based on Artificial Neural Network

Artificial Neural Network(ANN)-based nonlinear optimization of modeling on biomicrofluidic vesicles generation

Water quality evaluation of surface water based on back propagation neural network

Countermeasures of fast location of pipe bursts in Guangzhou based on neural network technology