Research On Detection And Location Method Of Heating Pipeline Leakage Based On Two Parameters

As one of the most important infrastructures in the city,urban heating pipes play an important role in the heating system.However,after long-time destruction by the rain water or human,the heating pipes have produced all kinds of risks,such as leakage.This will cause the waste of water resource.And it also has a certain impact on heating of residents.Therefor diagnosing the leakage of pipelines timely and judging the leak location of pipelines are to be a significant part of the energy saving.The object of this paper is pressure and flow of the pipelines.First,this paper establishes the model by the equation of motion and continuity.Using the runge kutta method to calculate the parameters such as pressure and flow of the pipeline.And compared the theoretical value to the actual value in order to choose a suitable threshold.If the threshold was exceeded,the pipeline was determined as leaking.Next,simulating the leakage of the pipeline at different conditions real-time through the fluent software.The neural network was used to locate the leak in the pipeline,and the pressure of detection point under the leakage condition was modeled as the input of the network.The leak location model,error range and model accuracy can meet the requirments,verifying the accuracy and feasibility of neural network leak location in heating pipes.Finally the transient pipeline leak diagnosis model and neural network positioning model were used for pipeline leak detection the actual pipeline paltform.The result of research shows that the model of pipeline leakage and positioning designed in this paper can accurately identify the pipeline leakage and determine the location of leakage.The accuracy of the leak diagnosis model reached 80%,and the positioning model about 5%.