Pipeline leak diagnosis combined algorithm based on large data

Abstract

The invention relates to a pipeline leak diagnosis combined algorithm based on large data. The pipeline leak diagnosis combined algorithm comprises the following steps that, pipeline pressure data, acoustic wave data and flow data are obtained in real time through a pressure transmitter, an acoustic wave sensor and a flowmeter; by connecting the PPS interface of the GPS system with the communication interface, pressure data, acoustic data and flow data are synchronously stored; measurement data are obtained by using negative pressure wave method, acoustic wave method and mass balance method, neural network algorithm is used to carry out leakage diagnosis after pressure data, acoustic wave data and flow data are fused under multiple scales, and multiple algorithm diagnosis results are obtained at the same time; the final diagnosis results are obtained by mode discrimination with structural risk minimization through synthesizing the diagnosis results of the above algorithms; and the location result of the combined algorithm is obtained through statistical analysis by synthesizing the location distance of each route. According to the pipeline leak diagnosis combined algorithm, the technical means of combining multiple detection methods are adopted, the advantages of multiple algorithms are fused, mutual compensation is achieved, and the sensitivity of leakage detection and the positioning accuracy of leakage positions are improved.

Description

technical field [0001] The invention relates to a pipeline leakage algorithm, in particular to a pipeline leakage diagnosis combination algorithm based on big data, which belongs to the technical field of pipeline detection. Background technique [0002] Oil pipeline leakage is a potential threat to daily production and life, and it will bring great losses to people. Therefore, only by timely discovering oil pipeline leakage and the location of the leakage point can the pipeline safety be effectively and timely guaranteed Production. [0003] The research on pipeline leakage detection technology started relatively late in my country, but it has developed rapidly. According to different detection principles, there are mainly various detection algorithms such as negative pressure wave method, acoustic wave method, and mass balance method. The positioning accuracy of negative pressure wave method is Compared with the sonic method, the effect is not good. The sonic method is eas...

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Problems solved by technology

[0003] The research on pipeline leakage detection technology started relatively late in my country, but it has developed rapidly. According to different detection principles, there are mainly various detection algorithms such as negative pressure wave method, acoustic wave method, and mass balance method. The positioning accuracy of negative pressure wave method is Compared with the sonic method, the effect is not good. The sonic method is easily affected by the external environment, and the mass balance method is beneficial to the detection of small leaks. The above methods are difficult to solve the contradiction between the on-site detection sensitivity and false alarms and the positioning. The problem of low precision

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