Design and development of an intelligent security alarm system based on optical fiber sensing

被引:0
|
作者
Guan L. [1 ,2 ,3 ]
Lu Y. [1 ,2 ,3 ]
He Z. [1 ,2 ,3 ]
Chen X. [1 ,2 ,3 ]
机构
[1] Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials, College of Physics and Energy, Fujian Normal University, Fuzhou
[2] Fujian Provincial Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, Xiamen
[3] Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage, Fuzhou
关键词
interference suppression; optical energy loss; optical fiber sensing; resonance frequency;
D O I
10.3788/IRLA20220028
中图分类号
学科分类号
摘要
Aiming at the defects of high energy consumption, susceptibility to electromagnetic interference, high cost and difficulty in laying of existing security sensor systems, a smart optical fiber sensor security alarm system with low energy consumption, high sensitivity and no electromagnetic interference is proposed. The system sensor adopts a microbent-type step fiber structure. Based on the analysis of the relationship between the optical energy loss of the microbent fiber sensor and the relative refractive index difference function of the resonant frequency, the structural parameters of the sensing unit are optimized. The experiment first tested the interference suppression algorithm. From the waveform distribution, it can be seen that the noise is greatly suppressed after using this algorithm. On this basis, the system was used to test the interference of different pseudotargets. A 650.0 nm laser with a power of 2.5 mW, a fiber power meter, a microbend fiber holder and a microbend fiber sensor with a core of 9 μm were selected to build a fiber microbend sensing experiment, and the photoelectric response characteristics of 4 different security states were determined. analyse. The results show that as long as the corresponding signal analysis methods are adopted for different interference types, the probability of system misrecognition can be effectively reduced. It can be seen that the optical fiber microbend sensing system has the advantages of high sensitivity, low energy consumption, anti-interference, etc., and meets the design requirements. It has good application prospects in the field of intelligent security. © 2022 Chinese Society of Astronautics. All rights reserved.
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  • [1] Dardari D, Closas P, Djuric P M., Indoor tracking theory, methods, and technologies, IEEE Transactions on Vehicular Technology, 64, 4, pp. 1263-1278, (2015)
  • [2] Du Z H, Chen X F, Zhang H, Et al., Feature identification with compressive measurements for machine fault diagnosis, IEEE Transactions on Instrumentation and Measurement, 65, 5, pp. 977-987, (2016)
  • [3] Lindsey N J, Martin E R, Dreger D S, Et al., Fiber-optic network observations of earthquake wavefields, Geophys Res Lett, 44, 23, pp. 1792-1799, (2017)
  • [4] Wu H J, Chen J P, Liu X R, Et al., One-dimensional CNN-based intelligent recognition of vibrations in pipeline monitoring with DAS, J Light Technol, 37, 17, pp. 4359-4366, (2019)
  • [5] Chen X, Xu C J., Disturbance pattern recognition based on an ALSTM in a long-distance φ-OTDR sensing system, Microw Opt Technol Lett, 62, 1, pp. 168-175, (2020)
  • [6] Yang X F, Cheng Y Y, Wang G., Super-resolution algorithm for remote sensing images based on compressive sensing in wavelet domain, Journal of Computer Applications, 37, 5, pp. 1430-1433, (2017)
  • [7] Liu Y, Tang W, Liu B Q., Data sparse analysis and improved reconstruction algorithm of power quality disturbance based on compressed sensing, Transactions of China Electro-technical Society, 15, 8, pp. 3461-3470, (2018)
  • [8] Zhang Y K, Shang Ying, Wang Chen, Et al., Detection and recognition of distributed optical fiber intrusion signal, OptoElectronic Engineering, 48, 3, pp. 16-33, (2021)
  • [9] Zhang X P, Ding Zh W, Hong R, Et al., Phase sensitive optical time-domain reflective distributed optical fiber sensing technology [J], Acta Optica Sinica, 41, 1, (2021)
  • [10] Huang X D, Wang B Y, Liu Kun, Et al., Intrusion event identification for fiber perimeter security system based on arma modeling and sigmoid fitting, Chinese Journal of Lasers, 47, 10, (2020)