Pipe abnormality detecting method based on sample generation and interval Markov features

Abstract

The invention aims to provide a pipe abnormality detecting method based on sample generation and interval Markov features and relates to the pipeline abnormality detection field. The pipe abnormalitydetecting method based on sample generation and interval Markov features comprises the following steps that firstly, extracting and filtering processing are conducted on historical data samples; secondly, regularization and down-sampling treatment are conducted on the historical data samples; thirdly, an ELM model is established and trained; fourthly, based on the ELM model, sample generation is conducted, and an expanded input sample set is obtained; fifthly, for each sample in the expanded input sample set, when t is larger than Q, the state of each moment is replaced by the average state inthe first Q time intervals, and the interval Markov features are extracted; sixthly, based on an SVM model or an RF model, pipeline abnormality is identified. By the adoption of the pipe abnormalitydetecting method based on sample generation and the interval Markov features, the technical problem that in the prior art, under complicated work conditions, weak pipeline leakage signals and work condition adjustment signals are difficult to identify is solved, and the precision of pipeline abnormality detection can be improved.

Description

technical field [0001] The invention relates to the field of pipeline anomaly detection, in particular to a pipeline anomaly detection method based on sample generation and interval Markov features. Background technique [0002] For a country dominated by industry, the degree of industrial development determines people's living standards, and at the same time consumes a proportional increase in resources. This reality has forced the transportation of energy to become a hotly debated topic of the moment. Among them, pipeline energy transportation has gradually become a transportation industry that keeps pace with railways, highways, aviation, and waterways. There are some differences between pipeline transportation and the other four types of transportation in terms of transportation objects. Pipeline transportation mainly uses the pressure difference in the pipeline to promote the transportation of the transportation objects. Therefore, the objects of pipeline transportatio...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problem of difficult identification of weak pipeline leakage signals and working condition adjustment signals under complex working conditions existing in the above-mentioned existing pipeline leakage detection methods, the present invention provides a pipeline anomaly detection method based on sample generation and interval Markov features , which can improve the accuracy of pipeline anomaly detection and reduce the rate of false negatives and false negatives

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