System and method for monitoring pipeline leakage based on high-and-low-frequency hybrid detection

Abstract

The invention provides a system and method for monitoring the pipeline leakage based on high-and-low-frequency hybrid detection. The system comprises a head end ultrahigh frequency sensor, an end ultrahigh frequency sensor, a head end acceleration sensor, an end acceleration sensor, a head end lower computer, an end lower computer, a head end upper computer and an end upper computer; a method based on the system is also provided, the method comprises the following steps of: acquiring high-frequency and low-frequency mixed historical data and classifying the working conditions of the high-frequency and low-frequency mixed historical data, performing preprocessing, multi-information domain analysis processing and feature extraction, processing by using a covariance kernel slice inverse regression algorithm to obtain a feature vector subspace, acquiring high-frequency and low-frequency mixed real-time data, obtaining the feature vector subspace according to the steps of acquiring the historical data, classifying the feature vector subspace by using a linear discriminant analysis, calculating the similarity, obtaining the real-time data classification result, and if the leakage exists,calculating the leakage position, providing a reliable data basis for the troubleshooting. The accuracy of the leakage feature value is ensured, the false alarm is reduced to the maximum extent, andmore accurate judgment is made on the leakage of a small flow.

Description

technical field [0001] The invention relates to the technical field of pipeline risk prediction, in particular to a pipeline leakage detection system and method based on high and low frequency mixed detection. Background technique [0002] The role of pipeline transportation in economic development is becoming more and more important, such as urban water pipelines, land crude oil pipelines, submarine oil and gas pipelines, etc. Most of the oil transportation is transported in the pipeline in the form of refined oil. With the expansion of the pipeline network year by year, pipeline transportation has become the main mode of land oil and gas transportation. However, the aging, corrosion, sudden natural disasters and man-made damage of the pipeline will all cause the leakage or even rupture of the refined oil pipeline. If it is not discovered and stopped in time, it will not only cause energy waste, economic loss, environmental pollution, but also endanger personal safety. , a...

AI Technical Summary

Problems solved by technology

Among them, the negative pressure wave method is the most widely used pipeline leakage detection method in the world in recent years. This method has the characteristics of short reaction time and wide range of detectable leakage. The internal pressure changes slowly, and the negative pressure wave method is less sensitive to it, which is prone to false positives. Moreover, due to the complex working condition adjustment of the pipeline transportation system, some common operations such as the start and stop of the main pump, the opening and closing of the valve, and the regulating valve Changes in the opening will cause negative pressure waves, which have a high degree of similarity with negative pressure waves caused by leakage, which reduces the detection accuracy of the negative pressure wave method

[0004] Acoustic detection method leak detection has good monitoring accuracy for slow and small flow leakage, but it is easy to confuse the leakage with the abnormal sound wave caused by human or environmental factors, and this method cannot detect simultaneous multi-point leakage

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