Method for locating and analyzing leakage of city gas pipeline based on GRNN (Generalized Regression Neural Network)

Abstract

The invention discloses a method for locating and analyzing the leakage of a city gas pipeline based on a GRNN (Generalized Regression Neural Network). According to the method disclosed by the invention, an acoustic wave locating calculation formula is improved based on a GRNN technology by combining an acoustic wave leakage detection principle and aiming at the characteristics of the city gas pipeline, and the distribution of the temperature, the wave velocity and the theoretic time difference along the city gas pipeline can be obtained according to the actually measured pressure, temperature and flow of a medium inlet and a medium outlet of the city gas pipeline by combining related parameters of the city gas pipeline and an acoustic wave location mechanism; neural network training predictable codes can be compiled by taking eight data such as the pressure, the temperature and the flow of an inlet and an outlet of the city gas pipeline as input variables and a leakage detection and location value as an output variable of a neural network, a GRNN prediction model can be constructed, and more accurate leakage location can be realized; the results show that the method has high location accuracy and can be used for reliably solving the problem of leakage location in real time.

Description

technical field [0001] The invention relates to the field of oil and gas storage and transportation risk control, in particular to a generalized regression neural network city gas pipeline leakage location analysis method. Background technique [0002] Gas transmission pipelines are an important part of urban development. With the increase of urban load and the aging of gas pipeline network, vicious accidents such as fire, explosion and poisoning caused by leakage of urban buried gas pipeline network have occurred from time to time, and have become the third largest killer after traffic accidents and industrial accidents. At the same time, it may cause serious environmental pollution and damage. Therefore, in order to detect leakage in time, it is necessary to carry out pipeline safety inspection. Although thermal infrared imaging, magnetic flux leakage detection, and optical fiber detection have achieved good results in the detection of gas pipeline leaks, these methods e...

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Problems solved by technology

[0003] However, the design of urban gas pipelines generally starts from the circular pipeline network. There are many nodes in the pipeline network, and most of them are medium and low pressure pipelines. They are located beside urban traffic arteries or in residential areas. It is difficult to identify and extract among the operating conditions and interference noise, which makes the pipeline acoustic emission leak detection have large errors

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