Construction method of artificial neural network for heat supply pipeline leakage detection

Abstract

The invention discloses a construction method of an artificial neural network for leakage detection of a heat supply pipeline. The construction method comprises the following steps: 1, constructing a heat supply pipeline simulation device in a laboratory; 2, connecting a pressure transmitter to a PVC pipe, and burying a temperature and humidity sensor in soil beside the PVC pipe; 3, performing data acquisition and transmission; and 4, constructing the artificial neural network. The heat supply pipeline simulation device is arranged in a laboratory, the device is used for simulating field heat supply pipeline leakage, a training sample can be obtained, the artificial neural network is trained, the artificial neural network which can determine whether leakage occurs or not according to pressure and temperature and humidity detection data is obtained, and the method is simple in step, convenient to implement and high in practicability. After the artificial neural network is obtained, the artificial neural network is used for heat supply pipeline leakage detection, the detection efficiency and precision can be effectively improved, and the method is high in practicability, good in use effect and convenient to popularize and use.

Description

technical field [0001] The invention belongs to the technical field of heating pipeline leakage detection, in particular to an artificial neural network construction method for heating pipeline leakage detection. Background technique [0002] The urban central heating pipeline network is a pipeline system that transports and distributes heating medium from central heating sources to users. In the process of pipeline connection, the occurrence of system errors is inevitable. As a compensator, the expansion joint can better compensate for the installation error. However, due to the expansion and contraction of the expansion joint, it is a part of the heating network that is prone to leakage. Once it leaks, it will cause a large area of ​​heating leakage. The earlier pipeline leakage detection technology includes the flow balance method to monitor the flow difference between the inlet and outlet of the pipeline to judge the leakage, and to judge whether there is leakage by ins...

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Problems solved by technology

[0003] In order to solve the above problems, some people propose to use the combination of pressure transmitter and temperature and humidity sensor to detect the leakage of heating pipeline, and use artificial neural network for data fusion analysis and processing to identify the leakage location of heating pipeline. , however, in the prior art, there is still a lack of a reasonable method for constructing the artificial neural network

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