A fast and accurate recognition method for low-cost intensity-demodulated fiber-optic Distributed Vibration Sensor (DVS)

Hao Zhao; Churui Liu; Jiacheng Yang; Zhaoyun Li; Huijuan Wu

doi:10.1117/12.2654560

15 December 2022 A fast and accurate recognition method for low-cost intensity-demodulated fiber-optic Distributed Vibration Sensor (DVS)

Hao Zhao, Churui Liu, Jiacheng Yang, Zhaoyun Li, Huijuan Wu

Author Affiliations +

Proceedings Volume 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022); 124781V (2022) https://doi.org/10.1117/12.2654560
Event: Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 2022, Xi'an, China

Abstract

In this paper, a fast and accurate recognition method based on the end-to-end ResNet model with a convolutional block attention module (CBAM), which is called ResNet+CBAM, is proposed especially for the low-cost intensitydemodulated DVS. In the blind field test, the accuracy can be improved up to 99.05 % for three normal intrusion events, and the processing time can be lowered to 0.52ms for one sample with 200m fiber and 1s time length.

Citation Download Citation

Hao Zhao, Churui Liu, Jiacheng Yang, Zhaoyun Li, and Huijuan Wu "A fast and accurate recognition method for low-cost intensity-demodulated fiber-optic Distributed Vibration Sensor (DVS)", Proc. SPIE 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 124781V (15 December 2022); https://doi.org/10.1117/12.2654560

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