Distributed optical fiber pipeline safety monitoring algorithm based on self-adaptive threshold value

Abstract

The invention provides a distributed optical fiber pipeline safety monitoring algorithm based on a self-adaptive threshold value. The algorithm comprises the steps that an original signal is acquiredfrom an optical fiber vibration sensor and preprocessed; multi-layer wavelet packet decomposition is carried out on the original signal in the time domain direction, and a certain detail component isselected to reconstruct a signal; a spatial feature vector is calculated according to the reconstructed signal; the self-adaptive threshold value is calculated according to the spatial feature vector,and an alarm position is judged; finally, alarm type library comparison is carried out, and a corresponding alarm type is output. The distributed optical fiber pipeline safety monitoring algorithm based on the self-adaptive threshold value can accurately recognize manual mining and mechanical mining events, can effectively shield influences of passing vehicles, and has the advantages of being high in environmental adaptability, high in system sensitivity and the like.

Description

Technical field: [0001] The invention relates to the security field of vibration monitoring of oil and gas pipelines by distributed optical fibers, in particular to a distributed optical fiber pipeline safety monitoring algorithm based on an adaptive threshold. Background technique: [0002] In the petrochemical industry, oil and gas pipelines often have man-made sabotage incidents such as construction around the pipeline and oil theft. Once oil and gas leaks, it will pose a serious threat to the safety of people's lives and property. Therefore, pipeline safety monitoring technology It has been paid more and more attention and developed rapidly. Compared with traditional monitoring methods such as manual line inspection and pipeline fluid pressure detection, distributed optical fiber vibration monitoring technology has the advantages of fast response time, long monitoring distance, accurate positioning, stable work, and strong anti-electromagnetic interference ability, espec...

AI Technical Summary

Problems solved by technology

At present, most algorithms use static thresholds to judge vibration alarms. This method needs to continuously adjust the static thresholds according to the actual environment to achieve the optimum in actual use. The entire parameter adjustment process is complicated and the algorithm has poor environmental adaptability.

The method of determining the vibration position of the optical fiber through the peak point can overcome the difficulty of parameter adjustment caused by the static threshold, but this method is prone to noise interference and misjudgment, and as the pipeline monitoring distance increases, the energy of the light will be attenuated , causing the peak point to be weakened so that the position of the fiber vibration cannot be detected in time and accurately, and then the pipeline damage event cannot be detected

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