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

A distributed optical fiber and vibration signal technology, applied in the field of signal detection, can solve the problems of low recognition and classification accuracy of optical fiber sensing intrusion signals, and achieve the effects of low classification accuracy, improved recognition accuracy, and strong universality

Active Publication Date: 2020-05-15
HOHAI UNIV CHANGZHOU
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Distributed optical fiber sensor vibration signal classification method and identification classification system
  • Distributed optical fiber sensor vibration signal classification method and identification classification system
  • Distributed optical fiber sensor vibration signal classification method and identification classification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The technical solutions of the present invention will be further elaborated below according to the drawings and in conjunction with the embodiments.

[0038] figure 1 It is a schematic flowchart of a method for identifying vibration signals of optical fiber sensors according to an embodiment of the present invention, and a method for classifying vibration signals of distributed optical fiber sensors includes the following steps:

[0039] S1: The optical fiber cable detects signals generated by external vibrations. The sampling rate and parameter settings of the equipment are adjusted according to the specific location where the optical cable is laid. The collected signals include non-intrusion signals, intrusion signals, and interference from environmental noise.

[0040] S2: Preprocess the collected signal, and determine the appropriate frame window function according to the actual sampling rate and the points of the collected discrete signal. Since the signal frequenc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01H9/00
CPCG01H9/004
Inventor 许海燕单洪颖谢迎娟张卓
Owner HOHAI UNIV CHANGZHOU
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products