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A OFDR distributed vibration sensing detection method based on compressed sensing

A technology of compressed sensing and vibration sensing, applied to measuring devices, measuring ultrasonic/sonic/infrasonic waves, instruments, etc., can solve the problems of increasing hardware costs and high prices of distributed optical fiber sensing systems, and achieve reduction in data volume and reduction Storage space and operating speed, cost reduction effects

Active Publication Date: 2021-04-23
SHANDONG UNIV
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Problems solved by technology

Although the frequency response range of the system can be increased by increasing the sweep rate of the tunable light source, the hardware cost is greatly increased, which is also a main reason for the high price of the distributed optical fiber sensing system

Method used

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  • A OFDR distributed vibration sensing detection method based on compressed sensing
  • A OFDR distributed vibration sensing detection method based on compressed sensing
  • A OFDR distributed vibration sensing detection method based on compressed sensing

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Embodiment Construction

[0050] Attached below Figure 1-4 The technology will be further described with specific examples to help understand the content of the present invention.

[0051]In an OFDR sensing system based on compressed sensing technology, processing and restoring data collected includes the following steps:

[0052] S1. Determine the observation matrix Φ corresponding to the required vibration signal, including the following steps:

[0053] S11. simulate the analog signal of any frequency by Matlab software, set the length of the analog signal to be N, and the length of the analog signal is the same as the length of the vibration signal;

[0054] S12. Perform sub-Nyquist sampling on the analog signal simulated in step S11;

[0055] S13. Known according to step S11, the length of the analog signal is N. After step S12 is completed, the total set of sampling positions of each sampling point is the required observation matrix Φ;

[0056] S2. Determine the observation vector y correspond...

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Abstract

The invention discloses an OFDR distributed vibration sensing detection method based on compressed sensing, comprising the following steps: S1. Determine the observation matrix Φ corresponding to the required vibration signal; S2. Determine the observation matrix Φ corresponding to the observation matrix Vector y; S3. Use the discrete Fourier transform matrix to obtain the sparse matrix Ψ of the signal; S4. Use the orthogonal matching pursuit algorithm to perform signal reconstruction and frequency recovery on the collected data; S5. Through Fourier transform, the The signal is transformed from the time domain to the frequency domain, and then the signal frequency is obtained. The advantage is that it not only saves a lot of data storage space, but also ensures the improvement of the operation speed, greatly reducing the storage space and operation speed of the signal.

Description

technical field [0001] The invention relates to an OFDR distributed vibration sensing detection method based on compressed sensing, and belongs to the technical field of optical fiber sensing detection. Background technique [0002] Because the optical fiber has strong anti-electromagnetic interference, good electrical insulation and light transmission characteristics. In recent years, distributed optical fiber sensing systems using optical fibers as sensitive components and signal transmission media have attracted more and more attention in national defense, military, and civilian facilities. Distributed optical fiber sensing technology measures the characteristic information along the direction of the optical fiber by detecting and analyzing the optical effects in the optical fiber. Since the characteristic information of the optical fiber changes with the external temperature, strain, and vibration, the environmental parameters around the optical fiber can be sensed. Di...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01H9/00
CPCG01H9/004
Inventor 秦增光渠帅刘兆军徐演平丛振华李钊冯玉茹王恒
Owner SHANDONG UNIV
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