Multi-task localization based on Φ-OTDR: composite vibration recognition, synchronous localization, and co-trench position

作者：Wenxin Liu, Hui Yang, Zhiwei Wang, Qiuyan Yao, Mingyuan Wu, Tiankuo Yu, Jie Zhang, Mohamed Cheriet · 发表于：Journal of Optical Communications and Networking · 年份：2025 · DOI：10.1364/jocn.561775 · 被引用次数：5 · 研究领域：Advanced Fiber Optic Sensors、Geophysics and Sensor Technology、Hand Gesture Recognition Systems

In optical fiber networks, ensuring reliability is crucial as both newly activated and pre-existing associated services encounter co-trenching risks and potential security threats. To address these challenges, we propose a Φ-OTDR-based multi-task localization framework integrating composite vibration event recognition, synchronous localization, and co-trench position detection. Analyzing real-time vibration signals, our method achieves 95.41% event synchronous positioning, 99.50% event classification, and 92.25% co-trench location accuracy, with 98.17% robustness on 400 test samples. These results demonstrate the effectiveness of the proposed framework in enhancing the safety of optical fibers and supporting the stable operation of optical fiber networks.