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The Study and Practice on Intelligent Control Technology for Leakage in Water Supply System

Author: LiYanJing
Tutor: LvMou
School: Qingdao Technological University
Course: Municipal Engineering
Keywords: Pipeline leakage Intelligent control technology Optimal Scheduling Leakage forecast Grey Model GRBF model AHP Fuzzy Evaluation System Integration
CLC: TU991.33
Type: Master's thesis
Year: 2010
Downloads: 99
Quote: 0
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Abstract


Urban water supply system is the lifeblood of a city, with the pipe network issues become more prominent, and in recent years for pipeline leakage control even more in-depth research projects, leakage control begins from the traditional leak detection, control methods to the intelligent, digitally controlled direction. For pipe network leakage current domestic situation, summarize and analyze pipeline leakage basic form of existence and impact of leakage of the top ten factors that should effectively control the leakage, must be combined with the traditional control method of new methods; right leakage detection technology at home and abroad, leakage control theory research are summarized, based intelligent control method for a number of advantages and disadvantages of the project feasibility study. Pipe for pipe network modeling is the basis for intelligent control. Pipe network hydraulic model based on microscopic modeling theory, introduces the pipe network modeling of the basic ideas and processes, focusing on the modeling of the pressure pipe network monitoring point layout optimization methods were studied, and finally on the early development of Ma'anshan City water supply network Online Optimization scheduling system functional modules briefly. Prepared using gray model C program for 12 years Ma'anshan pipe network to predict the frequency, the maximum relative error is 5.18%; pipe section of the city in a time of occurrence of leakage prediction, error control within an acceptable range ; each of the three time series using exponential smoothing model and gray neural network model (GRBF) forecast between 2003 and 2004 water pipe network leakage, the results show GRBF model accuracy than three exponential smoothing model, concluded that many factors in considering dropout circumstances influence the prediction of water, the more accurate than relying solely on the precision of prediction data dropout water has improved significantly. Ma'anshan City water supply network for the characteristics of the system, first established the city pipe network dropout safety evaluation index system, divided into six criteria layer and 24 index layer. Analytical Hierarchy Process (AHP) and fuzzy evaluation method on the city pipe network dropout safety comprehensive evaluation results show that the city's pipe network are \Its impact is analyzed to verify the reasonableness of the evaluation model; finally introduces digital management system function of each module and need to improve and perfect the content of the summary.

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Water supply project ( on the Water Works ) > Water distribution > Water distribution network
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