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Study On Lost Location And Loss Control Of Water Supply Network In J City

Posted on:2019-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:X M ZhaoFull Text:PDF
GTID:2322330545494616Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
With the increase of the coverage area of China's water supply network,problems such as over-ageing of pipes,poor quality of pipes,and unreasonable planning have become increasingly prominent.Leakage of the water supply network will not only affect the economic efficiency of the water supply company,but more importantly it will result in the waste of resources.In recent years,the state has paid more and more attention to the leakage control of the pipeline network,and has newly revised and organized the implementation of the new version of the “Control and Assessment Criteria for Leakage of Urban Water Distribution Networks”.In this paper,based on the analysis of a large number of water supply network information in J city,the method of leakage location applicable to J city was studied,and the leakage control method for water supply network of J city was proposed.Based on InfoWorks WS software,this paper establishes and perfects the dynamic hydraulic model based on the basic information of J water supply network.The hydraulic model was used to simulate the pipe network conditions under normal conditions and the pipe network conditions when the pipe burst occurred.A lot of simulated leakage pressure data was obtained.A total of 9 sets of actual leakage pressure data were obtained through the discharge of water from the actual pipe network and the discharge of water from 5 monitoring points.Using the BP neural network algorithm perform leak location on the obtained pressure data.And use InfoWorks WS software to locate the actual missing points and comparing two positioning models.Finally,by investigating the leakage of the water supply network of J city and the history of leakage,the reasons for the high dropout rate of J city were analyzed.The number of leaks in the pipe network under different pipe materials,pipe ages,pipe diameters,and temperatures was collated and analyzed.The prediction models for leakage were established using the grey prediction model and the differential autoregressive moving average model.The basis for the establishment of the optimal leakage control plan was provided,and the leakage control method was proposed based on the leakage of the J pipeline network.
Keywords/Search Tags:hydraulic model, artificial neural network, leakage control, prediction of leakage
PDF Full Text Request
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