Application Of DMA Measurement Division In Small Towns In Northern China In New Leakage Prediction Of Pipe Network

Water supply network leakage is a common problem faced by the global water industry.At present,the method of establishing DMA measurement and division is often adopted at home and abroad.The regional pressure is controled by analysing data.Meanwhile the network leakage level is assessed,predicting new missing points is predicted,and Corresponding measures are used for leakage control.However,in the actual application process,there are few problems in the analysis and prediction methods,the quantitative research on the water consumption is not comprehensive,and the leakage position is difficult to locate.In this paper,the DMA partition is established in the small town of YQ in the north,combined with the night minimum flow method and the hydraulic model method to predict and control the new leakage of the water supply network.The specific content includes:(1)The DMA partition was established in the small town of YQ in the north by the empirical partition method,and the data was used to evaluate the leakage situation in a single area.(2)Detailed introduction of the minimum flow components at night and corresponding control measures,establish a mathematical model based on night minimum flow to predict the new leakage,and discuss the accuracy and applicability of the model.(3)Set up the hydraulic model of the water supply pipe network and check the key parameters to improve the simulation accuracy.(4)Exploring the feasibility of the grey GM(1,1)dynamic model and the EPANET hydraulic model coupling leakage prediction method,evaluating the advantages and disadvantages of different models,and then obtaining a suitable method for leakage compensation in this region.Through the above research content,the following conclusions are obtained:(1)The DMA zoning method is applicable to the evaluation of the current leakage situation.The identification efficiency of the new leakage is limited.It is necessary to combine the pressure data to predict the new leakage,and the leakage index cannot be quantified.(2)Using the nighttime minimum flow moving average separation method and the gray GM(1,1)dynamic model method can reduce the minimum flow fluctuation range at night and increase the sensitivity of the new leakage to the legal water consumption,thereby maximizing the representation of the new Increase the minimum flow at night caused by leakage.After comparison,the gray GM(1,1)dynamic model has high recognition efficiency,prediction accuracy of over 90%,and short response time,which is more suitable for the prediction of new leakage.(3)Construct a hydraulic model of the pressurized I zone,check the key parameters,and make the hydraulic model better reflect the real operating state of the pipe network,which can be used for the judgment of the leakage position.(4)Using DMA partitioning method to evaluate the current situation of leakage,combined with gray GM(1,1)dynamic model and EPANET hydraulic model to achieve accurate prediction of new leakage in case of small sample size,the time of leakage occurrence The position is quick response and accurate identification,which has high reference value and application value.The significance of this study is to provide new ideas and methods for the prediction and control of new leakage in the water supply network.Using multiple models combined with predicting new leaks can effectively reduce the new leak response time,reduce leakage water,save water resources,and reduce the economic losses of water supply enterprises.