Pipeline intrusion event recognition method for distributed fiber optic acoustic sensing system based on central point feature

Xingwei Chen; Feihong Yu; Huaxin Gu; Deyu Xu; Weihao Lin; Han Lu; Haichuan Tan; Liyang Shao

doi:10.1117/12.3048721

5 December 2024 Pipeline intrusion event recognition method for distributed fiber optic acoustic sensing system based on central point feature

Xingwei Chen, Feihong Yu, Huaxin Gu, Deyu Xu, Weihao Lin, Han Lu, Haichuan Tan, Liyang Shao

Author Affiliations +

Proceedings Volume 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024); 134183E (2024) https://doi.org/10.1117/12.3048721
Event: 15th International Conference on Information Optics and Photonics (CIOP2024), 2024, Xi’an, China

Abstract

Pipeline transport facilities are laid alongside communication optical cable trenches, allowing Distributed fiber acoustic sensing (DAS) systems to utilize the redundant cores in the cable as sensing units, thereby providing a low-cost and safe monitoring solution for pipeline. However, due to the complexity and diversity of the application environment, the system faces limitations in computing power and recognition accuracy in actual use. Achieving high-precision identification and location of intrusion events in massive data and prompting maintenance personnel to take targeted measures in a timely manner can reduce the work pressure of maintenance personnel and have important implications for pipeline safety monitoring. Herein, we propose a multi-class intrusion event detection algorithm based on central point feature, which can achieve high-precision detection of the location, time, and category of detected pipeline perimeter intrusion events by DAS with a minimal model structure and low computing power.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingwei Chen, Feihong Yu, Huaxin Gu, Deyu Xu, Weihao Lin, Han Lu, Haichuan Tan, and Liyang Shao "Pipeline intrusion event recognition method for distributed fiber optic acoustic sensing system based on central point feature", Proc. SPIE 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024), 134183E (5 December 2024); https://doi.org/10.1117/12.3048721

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