Method and system for detecting pipeline leakage

Abstract

The invention discloses a method and system for detecting pipeline leakage. The method comprises the steps that multiple related parameters of a detected pipeline at a first moment are acquired; the multiple related parameters are input into a neural network model to obtain the predicted in-pipe fluid temperature, the predicted in-pipe fluid pressure and the predicted out-of-pipe environment temperature of the detected pipeline at a second moment after the first moment; the actual in-pipe fluid temperature, the actual in-pipe fluid pressure and the actual out-of-pipe environment temperature ofthe detected pipeline at the second moment are acquired; a prediction error is determined based on the difference value between the predicted in-pipe fluid temperature and the actual predicted in-pipe temperature, the difference value between the predicted in-pipe fluid pressure and the actual in-pipe fluid pressure and the difference value between the predicted out-of-pipe environment temperature and the actual out-of-pipe environment temperature; and the prediction error is compared with an error threshold value, and the final pipeline leakage rate is compared with a pipeline leakage rate threshold value. According to the method and system for detecting pipeline leakage, leakage detection and / or positioning can be conducted on an apron pipeline.

Description

technical field [0001] The present application relates to the field of pipeline leakage detection, in particular to a method and system for detecting pipeline leakage. Background technique [0002] For airports, there are many ways to export aviation fuel. Because the pipeline transportation method has the advantages of low cost, energy saving, high safety and stable supply, large and medium-sized airports generally use apron pipelines to transport aviation fuel. However, due to long-term operation corrosion and wear, natural aging of equipment, geological disasters, and man-made damage, pipeline leakage accidents on the apron occur from time to time, which affects the normal operation order of the airport and threatens the safety of the airport. At present, there are mainly two ways to detect the leakage of the apron pipeline, one is based on the detection of the fluid pressure and temperature in the pipeline, and the other is based on the detection of the sensor cable out...

AI Technical Summary

Problems solved by technology

[0003] However, the above-mentioned systems are still insufficient in pipeline micro-leakage detection and location

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