Oil delivery pipeline leakage detection method based on information fusion of extreme learning machine

Abstract

The invention discloses an oil delivery pipeline leakage detection method based on information fusion of an extreme learning machine. The oil delivery pipeline leakage detection method comprises the following steps that S1, historical data of a pipeline leakage experiment are collected as an initial training sample; S2, after flow information and pressure information in the historical data are subjected to characteristic value extraction and calculation, information fusion characteristic data are obtained; S3, the obtained information fusion characteristic data serves as input information, anda pipeline leakage detecting model is established through an extreme learning machine method; S4, the accuracy of the detecting model is verified; and S5, the information fusion characteristic data obtained after the flow information and pressure information of a to-be-detected pipeline are subjected to characteristic value extraction and calculation are input the final detecting model, and the state classification result of the to-be-detected pipeline is output. According to the oil delivery pipeline leakage detection method, the flow information and the pressure information of the pipelineare collected and subjected to characteristic value extraction and calculation, thus information fusion characteristic data are obtained to serve as the training sample, the main characteristics of asignal are covered, and the computation amount of the extreme learning machine method is decreased.

Description

technical field [0001] The invention relates to the technical field of long-distance oil pipeline leakage detection, in particular to an oil pipeline leakage detection method based on extreme learning machine information fusion. Background technique [0002] There are various ways of transporting oil, and there are various ways of transporting oil according to different transport distances, transport properties, and geographical factors. When it comes to the way to transport oil and other liquids and gases, we must combine the actual situation and comprehensively consider geographical factors, weather factors, economic factors, transportation distance, technical conditions and other factors to choose the most suitable one. The mode of transportation ensures the economy, scientificity and effectiveness of the entire pipeline transportation system. [0003] China has a vast territory, complex landform, diverse climate and environment, and uneven distribution of population den...

AI Technical Summary

Problems solved by technology

Not only the impact of the natural environment and the aging of the pipeline itself, but also many human factors can cause safety hazards. Safety hazards will not only bring economic losses to related companies, but also lead to damage to the surrounding natural environment, and sometimes even cause major casualties. casualty accident

That is to say, if the small leakage of the oil pipeline cannot be detected in time, it may cause serious environmental pollution and economic loss, and even cause major casualties.

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