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Study On Hydraulic Model Establishment And Leakage Control Of Water Supply Pipe Network In A Banner County In North China

Posted on:2020-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:L M ShanFull Text:PDF
GTID:2392330596492693Subject:Environmental Science and Engineering
Abstract/Summary:PDF Full Text Request
Under the call of building a smart city,the concept of smart water has emerged.Constructing a unified management system,namely the intelligent water service system,with the hydraulic model as the core,it can not only timely monitor the monitoring data,accurately simulate the hydraulic conditions in the pipe network,but also judge and locate some sudden working conditions.It can not only automate the operation of control equipment,improve the efficiency of pipe network dispatching,but also allocate water resources scientifically and reasonably,optimize the pressure distribution of pipe network,and improve the level of water operation management;Therefore,it is an urgent task to carry out research on smart water system in leakage control of water supply pipe network.This research relies on the construction project of a smart water system platform in a flag county in the north,and selects one of the independent areas(the J area)as the research object.Since the revenue system,GIS system and SCADA system in the area have not been established,the running water supply network has not been scientifically planned,resulting in a low level of water supply pipe network control,leakage rate of 30%,far exceeding national standards,wasting a lot of water resources and also damaging water supply facilities,it have become urgent problems for the water company.Based on the actual situation of the J area,this paper collects the water flow pipe network hydraulic model based on the pipe length,pipe diameter and pipe material in the water supply pipe network,and checks the actual pressure monitoring points inthe pipe network.The water supply network hydraulic model simulation accuracy meets the requirements of the calibration standard.On this basis,the hydraulic model completed by the calibration is used to conduct the leakage control research in the J area,so as to reduce the leakage rate of the pipe network and improve the security of the water supply.The specific research results of this paper are as follows:(1)Based on the field measurement and investigation,this paper obtains the key data of the hydraulic model of the water supply network in the J area.Based on this data,the hydraulic model of the water supply network in the area is established and the original pipe network is simplified.(2)This paper analyzes the back-haul data of pressure monitoring points,checks the preliminary hydraulic model,and verifies the results to meet the pressure calibration standards of hydraulic models at home and abroad.(3)In this paper,the hydraulic model of the water supply network completed by the calibration is used to simulate the current operating conditions of the area,and the leakage analysis based on the minimum flow at night and the optimization of the relief valve are studied.In this paper,we use the water supply pipe network hydraulic model set Kmeans clustering method to optimize the arrangement of water pressure monitoring points and the second-order moment method to analyze the fluctuation range of the monitoring points to determine the fluctuation threshold.In this paper,the water supply pipe network hydraulic model completed by the calibration is used to optimize the outflow short pipe model and the Emitters component to simulate the leakage and bursting of the water supply pipe network hydraulic model,and the BP neural network is used to establish the water supply pipe network leakage point prediction model.In this paper,the above research based on the hydraulic model of the water supply network in the J zone is carried out,aiming at reducing the leakage rate of the water supply pipe network in the J zone and providing a scientific operation and scheduling scheme for the pipe network.At the same time,it provides scientific guidance for the placement of new pressure monitoring points,and realizes the leakage warning of the water supply pipe network.According to the leakage point prediction model,it can help determine the location of the leakage and achieveaccurate positioning of the leakage points.
Keywords/Search Tags:water supply pipe network hydraulic model, minimum night flow, k-means clustering algorithm, first order second moment, back propagation neural network
PDF Full Text Request
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