Identification Of Resistance Coefficient And Leakage Diagnosis Of Heating Network

Since twenty-first Century,the vigorous development of central heating technology,the coverage rate increased year by year,which led to the heating network structure more complex,the direct result of hydraulic computation is more difficult,the failure rate of the network increases,and the key to solve these problems is to establish stable and reliable network model,and the basic of it is to obtain accurate pipeline resistance coefficient.To solve the problem for being difficult to calculate,based on summarizing the results of previous studies,established the calculation model of hydraulic pipe network based on graph theory,using the method of graph theory can visually represent the results of network topology,change the abstract image.At the same time,using the graph matrix representation method makes the hydraulic calculation more convenient.Then using the knowledge of the genetic algorithm to establish the heating network identification model of drag coefficient,and utilize the model in an actual case,the pipeline resistance coefficient can be obtained by identification of pipeline leakage alarm valve and leak alarm valve more convenient,in order to build the heating pipe network leakage diagnosis model.For the theory of imaginary pipe networks,the application of genetic algorithm in identification of drag coefficient model is very accurate,and model established by the drag coefficient is similar with the actual network.But in actual network,because the long time of operation,measurement data deviation and a series of other reasons,there are still some errors in the results,but the error still belongs to the allowable range engineering.During the leakage diagnosis of actual gas pipeline,the leakage diagnosis model can accurately find the pipeline leak,but the positioning error in relief leakage,How to reduce the leak diagnosis error is the direction of future efforts,but overall,the model has certain reference value for leakage diagnosis.The search range of the leak point can be reduced to a certain extent.