An Algorithm of Optical Fiber Detecting Pipeline Leakage and Location in Frequency Domain

Abstract

The invention discloses an algorithm for detecting pipeline leakage and position through optical fibers in a frequency domain. The pipeline state is monitored through the optical fibers, optical fibermonitoring signals are processed through a signal enhancement algorithm in the frequency domain, finally, reconstruction signals are obtained, and therefore the pipeline state and the leakage position are judged. According to the method, the characteristics of the pipeline leakage position signal are remarkably improved, whether the pipeline leaks or not and the leakage position can be accuratelyjudged by setting a proper alarm threshold value according to the characteristics of the processed signal, the detection precision is high, the false alarm rate is low, the practicability is high, and the signal-to-noise ratio is good.

Description

technical field [0001] The invention relates to the technical field of optical fiber sensing and monitoring, in particular to an algorithm for optical fiber detection of pipeline leakage and position in the frequency domain Background technique [0002] At present, the processing method of the optical fiber sensing signal of the pipeline leakage position mainly relies on OTDR technology. On the basis of OTDR technology, the location of the leakage point is realized through power spectrum analysis method, time-average method based on frequency domain, and time domain analysis. Leakage through the pipeline will cause changes in the power spectrum of the measured pipeline stress wave signal. The location of the leak can be detected by analyzing this signal change. Since there are many factors that affect the propagation of pipeline stress waves, it is difficult to describe pipeline vibration analytically. Judging the occurrence of leakage by performing time-average processing o...

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Problems solved by technology

Leakage through the pipeline will cause changes in the power spectrum of the measured pipeline stress wave signal. The location of the leak can be detected by analyzing the change of this signal. Since there are many factors that affect the propagation of pipeline stress waves, it is difficult to describe pipeline vibration analytically.

Judging the occurrence of leakage by performing time-average processing based on the frequency domain on the vibration signal when the pipeline leaks, which has relatively large limitations in practical engineering applications, and there are strong noise signals that lead to inconspicuous leakage characteristics, low positioning accuracy, and false alarms. high rate problem,

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