Method for detecting leakage of pipeline based on artificial neural network

Abstract

This invention discloses one tube leakage test method based on human neural network, which comprises the following four steps: gas phase flow tube relative signals collecting and delivering; neural element network training; neural element signals dialoguing and signal displaying, wherein, the above steps test the gas tube leakage based on current tube test base device to provide one computer identification technique with accurate test method.

Description

Technical field: [0001] The invention relates to a computer control technology, in particular to a method for detecting pipeline leakage by using a computer neural network system. Background technique: [0002] Substances leaked from pipelines are usually poisonous and harmful. Leakage accidents may cause serious damage or impact on the surrounding environment and its ecological balance, resulting in loss of national property and threat to people's lives. Especially for gas transportation pipelines, such as city gas pipeline network, because they are buried underground and lack effective maintenance and monitoring methods, they have become a major hidden danger to public safety. Due to the highly compressible nature of gases, common leak detection methods do not work well for them. Coupled with many gas transportation pipelines in service, the delivery pressure is medium and low pressure. How to effectively detect and locate leaks under low pressure conditions is an import...

AI Technical Summary

Problems solved by technology

[0005] 1. The pipeline leakage detection system based on acoustic emission technology has the advantages of real-time and continuous measurement and analysis, accurate leakage point location and external measurement without dismantling the pipeline; however, for large-flow pipelines, the background noise will affect the leakage noise. cause serious interference

In addition, the accuracy of pipeline leakage detection based on acoustic emission technology has a large error compared with other technologies

[0006] 2. The pipeline leakage detection system based on acoustic emission technology is not yet perfect technically, and there are still quite a lot of research work to be solved for the measurement of underground pipeline leakage

Due to the fixed corresponding mathematical model, the computer cannot accurately identify emergencies, or the identification information is not obvious, resulting in delays in the rescue of accidents and serious consequences

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