Research on dynamic variance threshold algorithm based on distributed fiber vibration sensor system

Zhang Bozhi; Liu Ke; Liu Kun; Jiang Junfeng; Zhang Man; Liu Tiegen

doi:10.12086/oee.2023.220205

Article navigation > Opto-Electronic Engineering > 2023 Vol. 50 > No. 2 > 220205

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Zhang B Z, Liu K, Liu K, et al. Research on dynamic variance threshold algorithm based on distributed fiber vibration sensor system[J]. Opto-Electron Eng, 2023, 50(2): 220205. doi: 10.12086/oee.2023.220205

Citation:

Zhang B Z, Liu K, Liu K, et al. Research on dynamic variance threshold algorithm based on distributed fiber vibration sensor system[J]. Opto-Electron Eng, 2023, 50(2): 220205. doi: 10.12086/oee.2023.220205

Research on dynamic variance threshold algorithm based on distributed fiber vibration sensor system

1.
School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300000, China
2.
Key Laboratory of Opto-electronics Information Technology, Ministry of Education, Tianjin 300000, China
3.
Tianjin Fiber Optic Sensing Engineering Center, Tianjin 300000, China
4.
Tianjin Qiu Shi Fiber Technologies Co., Ltd., Tianjin 300000, China

Fund Project: National Natural Science Foundation of China Youqing (61922061), National Natural Science Foundation of China (60077023), and National Key Fund (61735011)

More Information

^*Corresponding author: tgliu@tju.edu.cn

Received Date 23 August 2022

Revised Date 06 November 2022

Accepted Date 28 November 2022

Available Online 16 February 2023

Published Date 16 February 2023

Abstract

Abstract

In order to solve the problems of weak positioning accuracy, low sensitivity, and slow response speed of the distributed fiber vibration sensor system, a dynamic variance threshold algorithm based on the phase-sensitive photosensitive time domain reflection is proposed. The signal preprocessed by the band-pass filter is processed by variance processing, Gaussian blur, threshold peak seeking, and accurate center of gravity. The problem of long response time caused by the attenuation of Rayleigh scattering signal and the large amount of computation in the long-distance DVS detection is solved. The parallel programming technology is used to improve the operation speed by 184%, so as to quickly and accurately determine the location of the disturbance. The difference between the man-made disturbance and the noise on a 39 km long optical fiber is experimentally studied, and the influence of the noise is eliminated by the dynamic variance algorithm. The response time of the system is 1 second, the spatial resolution is 20 meters, and the positioning error is less than 0.1%.
- ϕ-OTDR /
- variance /
- gaussian blur /
- threshold value

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References

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Overview

Overview

Distributed optical fiber vibration sensing system (DVS) is a kind of vibration detection system which uses optical fiber as a sensing element to sense the vibration. Through OTDR, one or more vibration points can be sensed and located in space at the same time.Compared with the traditional vibration monitoring system, it has the advantages of no electromagnetic interference, long detection distance, high positioning accuracy, continuous multi-point distributed measurement, and so on. It is suitable for real-time accurate measurement of the vibratio-related events such as long-distance, omni-directional, multi-point illegal invasion, and structural damage. At present, the main optical principle of the distributed optical fiber sensing system is based on Rayleigh scattering, Raman scattering, and Brillouin scattering. Rayleigh scattering is the main component of light scattering in the process of optical fiber transmission, which has high scattering light intensity. The time and intensity of the backscattered light produced by modulated pulse laser signal at each point in the whole process of optical fiber are different. The change of disturbance in the whole process of optical fiber can be characterized by the change of the intensity of Rayleigh scattering light measured by the detector with time.

In the long-distance DVS applications, due to the attenuation of Rayleigh backscattering in the process of long-distance transmission of light, the detection signal is weak and the perception sensitivity is high, which leads to the problem of high false alarm rate in the complex ground life scene and unknown buried conditions. Thus, the DVS long-distance detection algorithm in the complex environment can not meet the practical application requirements.

Therefore, aiming at the problem of long-distance complex noise interference and signal attenuation, combined with the characteristics that variance analysis can detect the vibration quickly and effectively in one-dimensional signal, this paper proposes a dynamic variance threshold algorithm, and uses the parallel programming technology to improve the response speed of the system. The signal preprocessed by the band-pass filter is processed by variance processing, Gaussian blur, threshold peak seeking, and accurate center of gravity. The problem of long response time caused by the attenuation of Rayleigh scattering signal and the large amount of computation in the long-distance DVS detection is solved. The parallel programming technology is used to improve the operation speed by 184%, so as to quickly and accurately determine the location of the disturbance.The difference between the man-made disturbance and the noise on a 39 km long optical fiber is experimentally studied, and the influence of the noise is eliminated by the dynamic variance algorithm.The response time of the system is 1 second, the spatial resolution is 20 meters, and the positioning error is less than 0.1%.