The Study On The Early Warning And Positioning Model Of Water Supply Pipe Network

In recent years,with the extensive application of DMA leakage management technology,the water supply pipe network squib positioning model based on the water supply pipe network hydraulic model has gradually become one of the ways to quickly find the location of the blast point.The establishment of the PDD squib positioning model improves the leak control effect and the leak detection efficiency in the water supply industry,but the model parameters in the PDD squib positioning model are not perfect,and the PDD squib positioning model can only perform the squib position.Positioning,it is not possible to timely forecast abnormal conditions such as new bursts.Based on a certain area in Guangzhou,this paper improves the PDD bursting positioning model,establishes a bursting warning positioning model,and studies and optimizes the application of the bursting warning positioning model to save water resources and reduce production and sales.And to ensure the reliabilit y of urban water supply is of great significance.(1)Improvement of the PDD squib positioning model.Firstly,the seven-day moving average interval method is used to study the background leakage,and the smooth and true leakage is screened.The difference between the calculated and the missing leakage is the optimization target,the calibration node leakage coefficient is allocated,and the optimized pressure-leakage is used.The relationship formula coefficient is used to perform the blasting position optimization.When applied to the squib positioning of the actual pipe network of the DMA partition in a certain area of G city,the results show that the improved PDD squib positioning model has higher positioning accuracy.(2)The establishment of a bursting warning and squib positioning model.Calculate the pressure monitoring points of three time periods(T1(0:00-7:00),T2(8:00-23:00),T3(0:00-24:00))according to the pressure drop interval calculation formula.In the normal pressure drop interval,the relationship between the pressure drop value△H_i of the monitoring point and the pressure drop interval is compared to determine whether it is a pressure drop abnormal point,and a burst warning is performed.When applied to the blasting warning of the actual pipe network of the DMA zone in a certain area of G City,the results show that the blasting warning risk model based on the abnormal change of pressure drop value is successfully early warning.The establishment of the squib positioning model.Based on the improved PDD squib positioning model,the Bayesian theory formula is embedded to increase the recognition function of the number of blasting points.When applied to the squib positioning of the actual pipe network of the DMA partition in a certain area of G city,the results show that the blast tube positioning model based on Bayesian theory can accurately identify the number of new blast pipes and eliminate the non-uniqueness of the positioning results.(3)Research on the bursting early warning positioning model under the“Smart water”platform.Based on the analysis process of the influencing factors of the blasting warning positioning model,it is known that the pressure monitoring point has a great influence on the blasting warning positioning model,and a method for optimally arranging the pressure monitoring points for the blasting positioning model is proposed.The optimization study of the urban water supply pipe network pressure monitoring program under the“water”platform provides reference.Combining the optimal arrangement method of pressure monitoring points with the establishment steps of the blasting warning positioning model,the construction steps of the blasting early warning positioning model under the“Smart water”platform are proposed,and the blasting warning positioning model is applied to the“Smart water”platform in the future.Laid the theoretical foundation.