Technology research of φ-OTDR fiber perimeter intrusion system based on CNN-LSTM algorithm

Zhixing Li; Zhengqi Wang; Jiahui Li; Huan Yang; Guodong Liang; Zhihao Hao; Guangyan Wang

doi:10.1117/12.3004734

9 October 2023 Technology research of φ-OTDR fiber perimeter intrusion system based on CNN-LSTM algorithm

Zhixing Li, Zhengqi Wang, Jiahui Li, Huan Yang, Guodong Liang, Zhihao Hao, Guangyan Wang

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127910H (2023) https://doi.org/10.1117/12.3004734
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

The fiber optic sensing perimeter security system has broad application prospects due to its unique characteristics such as long transmission distance, wide monitoring range, high sensitivity, and strong real-time performance. Based on DWT and STFT, this paper extracts the features of the intrusion source signal and uses the CNN-LSTM deep learning algorithm to intelligently classify the signal, improving the separability of disturbance events and accurately judging the intrusion source type. The average accuracy rate of classification can reach more than 96%, with excellent intelligence and low false alarm performance. This technology is a perfect replacement for traditional perimeter alarm systems such as infrared beams and electronic fences, especially applicable for real-time measurement of vibration-related events such as long-distance, omni-directional, and multi-point illegal intrusion, illegal destruction, and structural damage. In addition, the application of distributed optical fiber sensing system in the industrial chain can improve product quality, ensure production safety, and realize production line automation.This research will improve the reliability and accuracy of the perimeter security system, improve the public security environment, save social resources, and improve social security.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhixing Li, Zhengqi Wang, Jiahui Li, Huan Yang, Guodong Liang, Zhihao Hao, and Guangyan Wang "Technology research of φ-OTDR fiber perimeter intrusion system based on CNN-LSTM algorithm", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127910H (9 October 2023); https://doi.org/10.1117/12.3004734

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KEYWORDS

Optical fibers

Sensing systems

Signal processing

Vibration

Feature extraction

Optical sensing

Discrete wavelet transforms

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