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Natural gas pipeline leakage detection method

A natural gas pipeline and leakage detection technology, which is applied in the field of natural gas pipeline leakage detection, can solve the problems of high false positive rate, false negative, natural gas pipeline leakage, etc., and achieve the effect of high accuracy, low detection cost and simple detection method

Active Publication Date: 2020-10-02
NORTHEAST GASOLINEEUM UNIV
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AI Technical Summary

Problems solved by technology

[0004] The invention provides a natural gas pipeline leakage detection method to solve the problems of high false alarm rate and false alarms in the existing pipeline leakage detection system

Method used

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Embodiment Construction

[0053] The specific implementation manners of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] figure 1 It is a process embodiment of a method for detecting natural gas pipeline leaks, which is used to detect the working conditions of natural gas pipelines, and the method includes the following steps:

[0055] Step S100: using the acoustic sensor to collect the sound wave signal of the pipeline, and using the sea-gull algorithm to optimize the variational mode decomposition algorithm;

[0056] In this embodiment, the collected acoustic wave signals include but not limited to no...

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Abstract

The invention discloses a natural gas pipeline leakage detection method, and relates to the technical field of pipeline leakage detection. According to the natural gas pipeline leakage detection method, the problem of high false alarm rate of a pipeline leakage detection system is solved. The method comprises the following steps of acquiring a sound wave signal by using an acoustic sensor; optimizing a variational mode decomposition algorithm by utilizing a gull algorithm; performing noise reduction pretreatment on the sound wave signal by using an optimized variational mode decomposition threshold denoising method to obtain a denoised sound wave signal; respectively extracting time-frequency characteristics of the sound wave signal to construct a high-dimensional feature vector matrix, reducing the dimension of the high-dimensional feature vector matrix by using a local linear embedding algorithm, and extracting a sensitive feature vector beneficial to classification; and searching anoptimal penalty factor and a kernel function by utilizing the gull optimization algorithm to optimize the performance of a least square support vector machine, taking the sensitive characteristic vector as a training sample of the least square support vector machine, and taking the collected sound wave signal as a test sample to detect whether a natural gas pipeline leaks.

Description

technical field [0001] The invention relates to the technical field of pipeline leakage detection, in particular to a natural gas pipeline leakage detection method. Background technique [0002] Pipeline transportation is a main mode of transportation, which has the characteristics of convenient management, low transportation cost, stability and safety, and is an inevitable choice for transporting fluid resources such as oil and natural gas. With the continuous development of natural gas fields and the continuous expansion of natural gas pipeline networks, the phenomenon of pipeline corrosion, aging and gas stealing is becoming more and more serious. These phenomena pose a potential serious threat to the safe operation of gas pipelines. Therefore, leak control measures must be taken to detect leaks in natural gas pipeline systems. Leakage in gas pipelines can be assessed by various detection methods, such as mass balance, negative pressure wave, transient model, distribute...

Claims

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Application Information

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IPC IPC(8): F17D5/06G06N3/00
CPCF17D5/06G06N3/006
Inventor 路敬祎岳继康王冬梅董宏丽刘庆强刘远红刘均张彦生宋金波
Owner NORTHEAST GASOLINEEUM UNIV
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