Pipeline leakage diagnosis method

Abstract

The invention provides a pipeline leakage diagnosis method, which includes the following steps: mounting dynamic pressure transmitters or acoustic wave leakage monitors at head and tail stations of the pipeline respectively, so as to continuously monitor a dynamic pressure signal or an acoustic wave signal in the pipeline in real time; denoising the data of the corresponding head and tail stations and calculating the signal average, so as to turn the signals into positive and negative signals; establishing two equal length moving windows arranged at a preset interval for the data, and enabling the moving windows to move with preset step lengths, so as to cut out the two equal length time domain signals, performing power spectrum analysis on the two signals respectively to compare the two signals and calculate the corresponding characteristic indexes; detecting the threshold value of sensitivity according to the set corresponding leakage, and setting to be 1 or zero clearing the leakage diagnosis mark of the upper and lower streams; and performing the leakage diagnosis according to the leakage diagnosis mark of the upper and lower streams. The pipeline leakage diagnosis method can effectively reduce mistaken reporting and completely avoid missing reporting.

Description

technical field [0001] The invention relates to the field of pipeline leakage detection based on a dynamic pressure sensor and an acoustic wave sensor for pressure fluid pipelines such as gas pipelines, oil product pipelines, and water pipes, and in particular relates to a pipeline leakage diagnosis method. Background technique [0002] Gas management, oil pipelines, water pipes and other pressure fluid pipelines buried underground have a wide laying area and complex lines. When the pipeline leaks, if a leak alarm occurs, the leak point cannot be found in time, resulting in resource loss and waste. , and may bring potential safety hazards and environmental pollution. [0003] In the existing pipeline leak detection methods, the method of feature extraction combined with neural network model is generally used to realize the leak diagnosis. The premise of realizing leak detection is to obtain leak sample data through leak simulation method, and use model learning method to tr...

AI Technical Summary

Problems solved by technology

This method requires a large number of samples, otherwise the generalization ability of the model may be poor, resulting in leak alarms; but because the learning samples are artificially simulated and the number of samples is limited, these limited number of simulations It is impossible for the sample to completely replace the real burst pipe, broken pipe and other pipe leaks with stronger signals, which will inevitably cause leakage alarms

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