Laser & Optoelectronics Progress, Volume. 55, Issue 3, 030606(2018)

Distributed Fiber Sensor Intelligent Control System Based on Multi-Sections Protection

Shibo Xu1,2、*, Libin Zhu1, Xing Fu1, Xianhui Yang1, and Tiegen Liu1
Author Affiliations
  • 1 Key Laboratory of Opto-Electronics Information Technical, Ministry of Education, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
  • 1 Well Testing Sub-Company, Bohai Drilling Engineering Company Limited, China National Petroleum Corporation (CNPC), Langfang, Hebei 0 65000, China
  • 2 Key Laboratory of Opto-Electronics Information Technical, Ministry of Education, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
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    Distributed fiber sensor has been widely used in safety monitoring area for long-distance transmission pipe laying or other high-risk work areas. However, the breakage or damage of sensing fiber cables occurs frequently, which restricts the long-term monitoring of the monitored targets. To solve this issue, we establish an intelligent fiber sensor system with the function of self-diagnosis and self-healing, which divide the monitoring area into several regions by controlling nodes and resilient sensing fibers to accomplish the automatic fault location and recovery of sensing service. The proposed system can improve the survivability of the distributed fiber sensor according to simulation analysis results of the sensor's working situation. We use the proposed system in distributed fiber sensor system for the long-distance pipe laying monitoring project and propose the multi-section combination structure to protect fiber cable.

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    Shibo Xu, Libin Zhu, Xing Fu, Xianhui Yang, Tiegen Liu. Distributed Fiber Sensor Intelligent Control System Based on Multi-Sections Protection[J]. Laser & Optoelectronics Progress, 2018, 55(3): 030606

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Aug. 21, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Xu Shibo (shibo_xu@tju.edu.cn)

    DOI:10.3788/LOP55.030606

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