| The buried pipeline is aging day by day,the influence factors are numerous,and it is difficult to detect and maintain,resulting in frequent pipeline leakage accidents.In the face of complicated water supply network,the leakage control of water supply enterprises is mostly the unified detection,maintenance and emergency repair of all pipelines after leakage,which not only wastes manpower and material resources,but also makes the water supply enterprises always in a passive state when dealing with the leakage situation.In order to change the condition of blind detection and maintenance and passive response to leakage,data drive provides a new decision idea for pipeline leakage control.Collect a large number of,continuous,accurate and reliable data;analyze the data to obtain the data characteristics to establish a model;through the model to obtain the results,analysis of it can provide a decision for leakage control.Taking a water supply pipeline in an old urban area in the south as an example,this paper studies the leakage control problem based on data drive,so as to clearly understand the operation state of the pipe network and prevent and deal with the leakage accident quickly.Reasonable and orderly management of pipe network.First,sort out and analyze the GIS data,operating status monitoring data,and pipeline leakage event statistical data of an old urban area in the south,and screen out pipe diameters,pipe materials,buried depths,pipe ages,pipe interface,and hydraulic pressure as the six principal the health influencing elements of water supply pipelines,the concept of failure coefficient is introduced,and the failure coefficient of the influencing elements is put into effect grope for the failure rules of each influencing elements.Secondly,the six main influencing elements obtained from the failure coefficient are used as the evaluation indicators of the pipeline health status,and the path analysis method is used to determine the comprehensive impact on the pipeline health,which provides a basis for improving the sequence relationship sorting in the sequence relationship analysis method.The subjective weight is ascertained by the improved order relationship analysis method,the objective weight is ascertained by the coefficient of variation method,and the subjective and objective weights are integrated by the comprehensive integration weighting mean based on the least square mean to chalk up the weight distribution result of the evaluation index: pipe diameter 0.165,pipe material 0.172,buried depth of 0.123,tube age of 0.253,interface method of 0.195,and water pressure of 0.093.Thirdly,based on the result of fault analysis and weight distribution,the evaluation model 1 is constructed by Bayesian theory,and the evaluation model 2 is constructed by fuzzy comprehensive evaluation method.The data of 353 leakage pipes in an old urban area in the south were taken as data samples to test the precision of the health status evaluation models of the two pipelines.The precision of the evaluation model 1 is 71.95 and that of evaluation model 2 is 89.23.Therefore,the evaluation model 2 is used to evaluate the health status of water supply pipeline in an old urban area in the south.Finally,using the evaluation model 2 to evaluate the health status of the water supply pipeline in an old urban area in the south,and the distribution of health status of the water supply pipelines was obtained: 13.05% of the pipelines were in good health,and 20.17% of the pipelines were in good health,4.44% of pipelines are in general health,38.12% of pipelines are in poor health,and 24.22% of pipelines are in poor health.According to the evaluation results of the model,draw a spectrum of the health status of water supply pipelines to clearly understand the location and operating status of different graded pipelines,and propose different coping strategies for different graded water supply pipelines. |
