Distributed optical fiber sensor vibration signal classification method and identification classification system

Abstract

The invention discloses a distributed optical fiber sensor vibration signal classification method and an identification classification system. The method comprises the following steps: firstly, usingan optical fiber sensing system for obtaining vibration signals acting on an optical cable; preprocessing the optical fiber vibration signal; calculating the short-time energy and the short-time zero-crossing rate of the optical fiber vibration signal; setting double thresholds of short-time energy and a short-time zero-crossing rate, if the double thresholds exceed the thresholds, extracting an effective data segment, and judging the effective data segment as a disturbance event; drawing a spectrogram on the time-frequency domain of the optical fiber vibration signal; extracting a Mel frequency cepstrum coefficient of the optical fiber vibration signal; establishing a deep learning recognition model based on the Mel frequency cepstrum coefficient and the time-frequency domain spectrogramof the disturbance event signal; and matching with a deep learning recognition model based on two characteristics of a spectrogram and a Mel frequency cepstrum coefficient in a vibration signal time-frequency domain, and judging the type of the optical fiber vibration signal. According to the invention, feature extraction and accurate identification and classification of the optical fiber sensingsignals are realized, and the technical problem of low identification and classification accuracy of the optical fiber sensing intrusion signals is solved.

Description

technical field [0001] The invention belongs to the technical field of signal detection, and in particular relates to a vibration signal classification method and a recognition classification system of a distributed optical fiber sensor. Background technique [0002] Distributed optical fiber sensing disturbance detection technology has increasingly become the mainstream technology for intrusion behavior security monitoring due to its technical advantages such as strong anti-electromagnetic interference ability, high sensitivity, large dynamic range, easy quick capture and high-precision monitoring of dynamic change information. For example, in oil pipelines, the distributed optical fiber disturbance monitoring system is used instead of manual patrols to detect oil theft, oil leakage, and damage to pipelines in a timely manner, intelligently manage pipelines, and ensure pipeline safety. In the field of security, due to the concealment and anti-electromagnetic properties of o...

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Problems solved by technology

[0004] In order to solve the above problems, the present invention proposes a method and system for identifying optical fiber sensing vibration signals, which realizes feature extraction of optical fiber sensing signals, accurate identification and classification, and solves the technology of low accuracy in identification and classification of optical fiber sensing intrusion signals question

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