Buried gas pipeline leakage risk degree prediction algorithm and prediction method

Abstract

The invention belongs to the technical field of gas pipeline maintenance, and particularly relates to a buried gas pipeline leakage risk prediction algorithm and prediction method. The buried gas pipeline leakage risk prediction algorithm comprises the following steps: 1, collecting data; 2, establishing a corresponding vector according to the corresponding data; 3, constructing a buried gas pipeline leakage risk degree model according to the corresponding vector; 4, obtaining the buried gas pipeline leakage risk degree of the corresponding position in real time according to the buried gas pipeline leakage risk degree model and parameters of the corresponding position on the buried gas pipeline; and 5, generating a preventive maintenance strategy according to the leakage risk degree of theburied gas pipeline at the corresponding position. According to the buried gas pipeline leakage risk prediction algorithm and prediction method, the defects of high subjectivity and high randomness of manual judgment and early warning of the leakage risk of the buried gas pipeline according to monitoring data can be overcome, advanced protection and predictive maintenance of the leakage accidentof the buried gas pipeline are facilitated, and the predictive maintenance has better economical efficiency; and meanwhile, the labor cost for maintaining the buried gas pipeline is reduced.

Description

technical field [0001] The invention belongs to the technical field of gas pipeline maintenance, and in particular relates to a leakage risk prediction algorithm and method for buried gas pipelines. Background technique [0002] The leakage of buried gas pipelines cannot be found intuitively and obviously, especially if a small amount of leakage occurs, it is even more difficult to find. When a leak occurs, a series of secondary disasters such as an explosion are likely to occur, resulting in serious personal casualties and property losses. Buried pipelines are concealed projects with 24-hour uninterrupted operation and other characteristics. Daily inspections can only ensure "surface" safety, but little is known about the internal situation, resulting in insufficient information and difficult management. Ultrasonic real-time monitoring of gas pipeline data can only be used for overhead pipelines, and cannot obtain sufficient information for buried pipelines. [0003] At p...

AI Technical Summary

Problems solved by technology

Due to the use of a large amount of manpower such as experts, this method has a large workload, high labor cost, and poor economy; at the same time, it also has the problems of strong subjectivity and large randomness.

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