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Real-Time Multi-Class Disturbance Detection for Φ-OTDR Based on YOLO Algorithm
Content Provider | MDPI |
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Author | Xu, Weijie Yu, Feihong Liu, Shuaiqi Xiao, Dongrui Hu, Jie Zhao, Fang Lin, Weihao Wang, Guoqing Shen, Xingliang Wang, Weizhi Wang, Feng Liu, Huanhuan Shum, Perry Ping Shao, Liyang |
Copyright Year | 2022 |
Description | This paper proposes a real-time multi-class disturbance detection algorithm based on YOLO for distributed fiber vibration sensing. The algorithm achieves real-time detection of event location and classification on external intrusions sensed by distributed optical fiber sensing system (DOFS) based on phase-sensitive optical time-domain reflectometry (Φ-OTDR). We conducted data collection under perimeter security scenarios and acquired five types of events with a total of 5787 samples. The data is used as a spatial–temporal sensing image in the training of our proposed YOLO-based model (You Only Look Once-based method). Our scheme uses the Darknet53 network to simplify the traditional two-step object detection into a one-step process, using one network structure for both event localization and classification, thus improving the detection speed to achieve real-time operation. Compared with the traditional Fast-RCNN (Fast Region-CNN) and Faster-RCNN (Faster Region-CNN) algorithms, our scheme can achieve 22.83 frames per second (FPS) while maintaining high accuracy (96.14%), which is 44.90 times faster than Fast-RCNN and 3.79 times faster than Faster-RCNN. It achieves real-time operation for locating and classifying intrusion events with continuously recorded sensing data. Experimental results have demonstrated that this scheme provides a solution to real-time, multi-class external intrusion events detection and classification for the Φ-OTDR-based DOFS in practical applications. |
Starting Page | 1994 |
e-ISSN | 14248220 |
DOI | 10.3390/s22051994 |
Journal | Sensors |
Issue Number | 5 |
Volume Number | 22 |
Language | English |
Publisher | MDPI |
Publisher Date | 2022-03-03 |
Access Restriction | Open |
Subject Keyword | Sensors Imaging Science Distributed Fiber Sensing Φ-otdr Real-time Detection Multi-class Classification Object Detection Yolo |
Content Type | Text |
Resource Type | Article |