Long-distance pipeline pressure monitoring method based on ensemble modified ICA-KRR algorithm

Abstract

The invention discloses a long-distance pipeline pressure monitoring method based on an ensemble modified ICA-KRR algorithm. The method comprises the following steps: 1) constructing a long-distance pipeline pressure monitoring data matrix; 2) calculating a variable P belonging to Rm x m; 3) extracting a component matrix T=PTX; 4) whitening the extracted component matrix T to obtain a whitened result; 5) calculating a matrix S=CTZ; 6) calculating a matrix Cn; 7) calculating a separation matrix W belonging to Rd x m and a mixing matrix A belonging to Rm x d; 8) obtaining source signals of independent components, wherein the independent relationship between the source signals of the independent components is reflected by a non-Gaussian property, the non-Gaussian property is quantized by a negative entropy function, and the negative entropy function can select three non-quadratic functions; 9) constructing three kinds of component importance evaluation standards; 10) blending to form a two-layer comprehensive learning strategy; 11) forming 9 component selection models; 12) obtaining a weight coefficient w; 13) obtaining regression fault signal data y; 14) and calculating a leakage position d. The method can realize real-time monitoring and accurate positioning of the leakage position on a long-distance pipeline.

Description

technical field [0001] The invention belongs to the technical field of safety detection of long-distance oil and gas pipelines, and relates to a pressure monitoring method of long-distance pipelines based on an integrated improved ICA-KRR algorithm. Background technique [0002] In recent years, with the increasing service life of oil and gas pipelines, the frequency of pipeline leakage accidents caused by various non-human factors has been increasing, which has brought serious economic losses to enterprises. Therefore, real-time monitoring of pipeline pressure, precise location of leakage faults and timely early warning have important research significance. [0003] Oil and gas pipeline leakage detection technology is an important means to ensure the safe production of pipelines. With the rapid development of information technology and modern control theory, leak detection methods have been widely used due to their high efficiency and flexible application methods, and have...

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Problems solved by technology

[0006] The above methods have achieved certain results through different pressure monitoring methods, but there are also problems in these applications that the selection of the original sequence is not screened, and the analysis of its applicability is not enough, resulting in weakened discrimination ability and reduced accuracy.

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