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Distributed optical fiber sensing signal space-time information extraction and identification method

A distributed optical fiber and sensing signal technology, which is applied in the field of optical cable safety monitoring, can solve the problems of inability to extract signal spatial distribution information, poor generalization, and low recognition rate, and achieve the goal of improving learning and recognition capabilities and enhancing model transplantation capabilities Effect

Active Publication Date: 2020-04-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is: the present invention provides a method for extracting and identifying spatio-temporal information of distributed optical fiber sensing signals, which solves the problem of poor generalization when using deep learning to identify received signals of distributed vibration sensing systems, and at the same time due to the inability to The technical problem of low recognition rate due to the extraction of signal spatial distribution information

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  • Distributed optical fiber sensing signal space-time information extraction and identification method
  • Distributed optical fiber sensing signal space-time information extraction and identification method
  • Distributed optical fiber sensing signal space-time information extraction and identification method

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Embodiment 1

[0043] A method for extracting and identifying temporal and spatial information of distributed optical fiber sensing signals, comprising the following steps:

[0044] Step 1: Obtain the spatio-temporal signal corresponding to the event in the distributed optical fiber sensing signal, use the type of the event as the real label of the spatio-temporal signal, and use the spatio-temporal signal to establish a typical event database;

[0045]The distributed optical fiber sensing signal is a vibration signal collected along the communication optical cable by a distributed optical fiber vibration sensing system, and the space-time signal is a two-dimensional space-time signal matrix, which is formed by dividing the vibration signal according to N×M dimensions, including spatial dimensions and Time dimension, the space dimension is the data collection space points set sequentially in the vibration signal, the time dimension is the time series signal of each data collection space point...

Embodiment 2

[0117] This embodiment provides a distributed optical fiber vibration sensing system for realizing safety monitoring of a communication optical cable network, and the distributed optical fiber vibration sensing system is used for collecting vibration signals.

[0118] It mainly consists of three parts: detection optical cable, optical signal demodulation equipment, and signal processing host.

[0119] The detection optical cable usually adopts ordinary single-mode communication optical fiber or acoustic wave and vibration-sensitized sensing optical cable, and is generally laid along the inner or outer wall of the gas pipeline.

[0120] Optical signal demodulation equipment is the core of the system, and its internal components mainly include optical and electrical devices. In the demodulation equipment, the ultra-narrow linewidth laser emits a continuous optical signal and is modulated into an optical pulse by an acousto-optic / electro-optic modulator, which is then injected in...

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Abstract

The invention discloses a distributed optical fiber sensing signal space-time information extraction and identification method, and belongs to the technical field of optical cable safety monitoring. Adistributed optical fiber vibration sensing system is used for collecting vibration signals along a communication optical cable, time-space signal samples near a vibration source are labeled with event type labels, and a typical event database is established; a CNN-BiLSTM deep learning model based on the space-time signal structure is constructed; time structure information of each spatial pointsignal of the spatio-temporal signal is mined by using a CNN network, correlation of each spatial point signal in the spatio-temporal signal is mined by using a bidirectional long-short-term memory model, and the model is trained based on a typical event database to obtain an optimal model; and finally, the spatio-temporal signal of the event to be detected is identified by using the optimal model. According to the method, the CNN-BiLSTM deep learning model is utilized to synchronously extract the time structure information and spatial distribution characteristics of the distributed optical fiber vibration sensing time-space signals and perform identification, and the effect of the method is superior to that of a signal identification method which mainly extracts the signal time characteristics in the field.

Description

technical field [0001] The invention relates to the technical field of optical cable safety monitoring, in particular to a method for extracting and identifying temporal and spatial information of distributed optical fiber sensing signals. Background technique [0002] The distributed optical fiber vibration sensing technology based on the principle of phase-sensitive optical time domain reflection uses the existing laid communication optical cables to sense and accurately locate the vibrations of various destructive hazards (mechanical construction, artificial excavation, etc.) in the surrounding environment. Signal, and a technology for real-time early warning. It has outstanding capabilities such as passive, strong survivability in harsh environments, large-scale (long-distance) continuous monitoring, and large-scale networking. Its comprehensive performance is superior to ordinary OTDR, electrical sensor arrays, and others. The line damage detection method has broad appl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B10/071G06N3/04G06N3/08
CPCH04B10/071G06N3/084G06N3/044G06N3/045
Inventor 吴慧娟杨明儒阳思琦王超群路豪饶云江
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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