Detection method of pipeline leakage

Abstract

The invention discloses a detection method of pipeline leakage. The detection method of the pipeline leakage solves the problem that an existing method is low in detection accuracy. The method comprises the following steps that stress wave signals of each monitoring point in a pipeline with known leakage conditions are collected, characteristic values are extracted, a training sample is constructed to obtain a sample characteristic value; the sample characteristic value is used as an input signal of a support vector machine classifier, and the optimal classification surface function of the support vector machine for judging the leakage situation is obtained according to the actual leakage situation of each monitoring point; and the sample characteristic value is used as an input signal ofa neural network regression device, and a neural network model and a leakage point model position which are calculated on the position of the leakage point according to the actual position of the leakage point is obtained. The detection method realizes the accurate judgment and calculation of the leakage situation of the pipeline and the position of the leakage point.

Description

technical field [0001] The invention relates to the technical field of pipeline leakage detection, in particular to a pipeline leakage detection method. Background technique [0002] The detection and location of pipeline leakage involves multiple disciplines such as pipeline fluid mechanics, thermodynamics, sensing technology, weak signal detection, signal processing, etc. The existing pipeline leakage detection methods include acoustic principle method, infrared detection method, machine learning method, acoustic principle The detection method relies on expert experience and existing knowledge base for detection, and the detection accuracy is low; the infrared detection method needs to use detectors with different signals for different pipe diameters, which is costly and complicated to detect; machine learning methods include neural network method, artificial intelligence method, Support vector machine method and neural network method have low monitoring accuracy. Artifici...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a pipeline leakage detection method, which solves the problem of low detection accuracy in existing methods

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