A pipeline leak diagnosis method based on a combination algorithm of big data

Abstract

A method for diagnosing pipeline leakage based on a combined algorithm of big data, which obtains pipeline pressure data, acoustic wave data, and flow data in real time through pressure transmitters, acoustic wave sensors, and flow meters; by connecting the PPS interface of the GPS system with the communication interface, the Synchronously store pressure data, acoustic wave data and flow data; use negative pressure wave method, acoustic wave method, and mass balance method to obtain measurement data, and use neural network algorithm after merging pressure data, acoustic wave data, and flow data at multiple scales Leakage diagnosis, and multiple algorithm diagnosis results are obtained at the same time; the diagnosis results of the above algorithms are combined, and the final diagnosis result is obtained by pattern discrimination with structural risk minimization; the positioning distance of each road is integrated, and the combined algorithm positioning result is obtained through statistical analysis; The technical means of combining multiple inspection methods combines the advantages of multiple algorithms and complements each other, improving the sensitivity of leak detection and the positioning accuracy of leak locations.

Description

technical field [0001] The invention relates to a pipeline leakage algorithm, in particular to a pipeline leakage diagnosis method based on a combination algorithm of big data, and 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 met...

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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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