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Research On Leakage Location And Operation State Estimation Of Urban Water Supply Network

Posted on:2019-04-23Degree:MasterType:Thesis
Country:ChinaCandidate:Z L QiuFull Text:PDF
GTID:2382330548470319Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
The water supply pipe network is generally face the problem of water supply enterprises,the current domestic city water supply network leakage rate is generally higher than 12%,not only caused a huge waste of water resources,and the economic loss is very serious;comprehensive,accurate perception of pipe network optimization scheduling strategy depends on the operation state of the pipeline,and the information network the SCADA system can only monitor important nodes of the existing number of monitoring points is not enough.In view of this,a systematic study on leakage location and operation state estimation of water supply network is carried out in this paper.The main contents are as follows:1.Modeling of water supply network: using EPANETH modeling software,modeling a simple water supply pipe network in laboratory,and simulating a working condition,using this hydraulic model to calculate the flow,velocity and pressure of each node.2.The location of water supply pipe network in the laboratory environment,leakage experiment using a small water supply pipe network,using pressure drop pressure collecting device records under the end of leakage,leakage localization using probabilistic neural network PNN model,the experimental results show that this method has a certain reference value for the leakage location.3.Study on the estimation of water supply network operating state: according to the actual water supply network of a city in Central Plains,according to the historical data collected by SCADA system,the relationship between the BP neural network model for water source,the monitoring points between the implementation of extended network operating state information in spatial sequence,so as to provide a useful reference for the optimization of water supply scheduling strategy.
Keywords/Search Tags:leakage location of water supply network, Estimation of running state, Probabilistic neural network, BP neural network
PDF Full Text Request
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