Research On MNF And Existing Leakage Location Model Of DMA

The existence of pipe network leakage will cause waste of resources and energy,on the other hand,it will also reduce the economic benefits of water supply enterprises.In addition,the amount of water lost will bring potential danger to nearby buildings.Because the water supply and sales data in the pipe network operation management process can not be synchronized frequently,it is impossible to analyze and determine the leakage of the pipe network in time.At the same time,due to the limitations of the common leakage detection method itself,the leakage of the pipe network cannot be caused.The situation is timely to take correct leakage contro l measures to avoid a series of hazards caused by continuous leakage.As a leakage management technology recognized by domestic and foreign scholars and water supply companies,DMA technology can effectively improve the efficiency of leakage control if it can use the nature of monitoring the flow and pressure in the zone.Based on the DMA partition established in Guangzhou,this paper establishes the MNF early warning model based on DMA partition and the existing leakage location model,and discusses the influencing factors of the model.(1)DMA water balance analysis and MNF warning model night legal water consumption study.According to the estimation method of the actual leakage water volume,the influence of the meter reading cycle on the water balance analysis is discussed by taking one of the zones as an example.The meter reading cycle affects the water balance analysis.At the same time,the minimum nighttime traffic warning model based on DMA partition is established.The results show that the MNF early warning model can accurately determine the leakage of DMA.The MNF warning values of different meter reading cycles are discussed.At the same time,the case analysis shows the relationship between the MNF warning width and the DMA scale,and discusses the influence of the apparent error,the leakage rate setting value and the range width of the pressure index N on the warning width.(2)PDD-based leaky location model.Both the leakage positioning model can accurately locate the existing leakage.The analysis shows that the length of the water sales data cycle and the expected leakage rate do not affect the results of the existing leakage positioning,but the data period has passed.Long,and the expected difference in leakage rate will increase the deviation between the calculated value and the actual value.(3)Leakage warning and location model based on SCADA system.The MNF early warning model based on SCADA system and the establishment and application process of the existing leakage location model are proposed.At the same time,on the basis of the existing equipment of the pipe network,the influence of the installation situation of the pressure monitoring points of different locations and the number of pressure monitoring points on the pipe network with 1 zone as an example is discussed.The results show that considering the smart household table for the existing leak location can make the calculation time closer to the actual value;the simultaneous calculation of the leakage loss of the two pressure monitoring points is more accurate than the positioning with a single pressure monitoring point,and at the same time,by comparison The calculation results of the single pressure detection points at different positions show that the positioning results of the pressure monitoring points installed near the leakage points are more accurate.In the case of a limited number of equipment installations,in order to ensure the accuracy of the positioning model,the pressure monitoring points should be given priority.Consider installing near a node that is sensitive to the location of the leakage.