PIG Tracking Utilizing Fiber Optic Distributed Vibration Sensor and YOLO

• Published in: Journal of lightwave technology Vol. 39; no. 13; pp. 4535 - 4541
• Main Authors: Sha, Zhou, Feng, Hao, Rui, Xiaobo, Zeng, Zhoumo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Event recognition; fiber optic distributed vibration sensor; Fiber optics; Leather; Object detection; Object recognition; Optical fiber cables; Optical fiber sensors; Optical fibers; phase sensitive optical time domain reflectometer; PIG tracking; Pipelines; Reflectometers; Sensors; Spacetime; Tracking; Vibration; Vibrations; Welded joints; Welding; YOLO
• ISSN: 0733-8724; 1558-2213
• DOI: 10.1109/JLT.2021.3073225

This paper proposed a strategy of tracking pipe PIG utilizing Fiber Optic Distributed Vibration Sensor (FODVS) and YOLO object detection algorithm. Phase sensitive Optical Time Domain Reflectometer (ϕ-OTDR) is employed as the distributed sensor to collect the real field vibration signal generated as a result of the collision between leather bowl and weld joint. The space-time graphs of ϕ-OTDR are prepared to construct data sets to train a typical YOLOv3 net model. The trained model is proved to be able to accurately capture the invert-V signature in the space-time graph thus revealing the real time position of a PIG. This paper provides a concept-proof preliminary demonstration on the promising combination of FODVS and object detection scheme for pursuing better performance of events recogntion.