Real-time clustering and early warning method for oil and gas pipeline monitoring based on massive vibration disturbance events

Abstract

The invention provides a real-time clustering early warning method for oil and gas pipeline monitoring based on massive vibration interference events, including a coherent optical time domain reflection vibration sensor system based on Rayleigh scattering, characterized in that: the coherent optical time domain reflection based on Rayleigh scattering Vibration sensing systems include lasers, amplifiers, acousto-optic modulators, couplers, digital signal processors, drivers, isolators, delay fibers, piezoelectric ceramic drivers, photodetectors, CPUs, and circulators. The present invention uses a real-time cluster analysis method to simultaneously perform cluster analysis on the vibration interference event data obtained from the above analysis in time and space distribution dimensions, that is, considering the spatial distribution characteristics of abnormal interference events, so as to better match the interference The data characteristics caused by event behavior can significantly reduce the number of false positives, reduce the possibility of missed negatives, and improve the accuracy and effectiveness of early warnings.

Description

technical field [0001] The invention relates to the technical field of oil and gas pipeline detection, in particular to a real-time clustering and early warning method for oil and gas pipeline monitoring based on massive vibration interference events. Background technique [0002] Existing real-time early warning and monitoring systems for oil and gas pipelines generally classify and identify vibration source interference events based on the amplitude and phase characteristics of optical fiber time domain signals. If the amplitude and phase thresholds are set low, the number of identified vibration disturbance events will be large, and many weak surface normal activities will also be identified as abnormal disturbance events, thereby reducing the early warning accuracy of the monitoring system; on the contrary, if the amplitude If the threshold and phase threshold are set high, it is easy to miss the early warning because the threshold for triggering the early warning is set...

AI Technical Summary

Problems solved by technology

If the amplitude and phase thresholds are set low, the number of identified vibration disturbance events will be large, and many weak surface normal activities will also be identified as abnormal disturbance events, thereby reducing the early warning accuracy of the monitoring system; on the contrary, if the amplitude If the threshold and phase threshold are set high, it is easy to miss the early warning because the threshold setting for triggering the early warning is too high.

Therefore, this threshold early warning mechanism based on the characteristics of pulse data often has disadvantages such as poor early warning accuracy and high early warning false alarm rate, which is difficult to meet actual production needs.

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