Multi-Bus Fiber Sensor Protection Network Operation With Robustness Analysis

This paper proposes a multi-bus fiber-optic sensor network, which could multiplex different types of fiber sensors, locate the failure position, and recover the sensing services of sensors in a network immediately and automatically to keep them working without being interrupted. It is composed of master and slave nodes, as well as working and backup fibers connecting them. We introduce the operation of the network and two light source distributions by explaining the internal structures of the master and slave nodes along with the sensor protection and the fault location process. Then, we analyze the probability distribution of working status for both distributions and propose a quantitative evaluation criterion called weighted average robustness for the robustness analysis of any fiber sensor network. Meanwhile, this paper demonstrates its feasibility by multiplexing three fiber sensor systems: a distributed fiber-optic vibration sensor based on dual Mach-Zehnder interferometer architecture; an optical frequency domain reflectometry sensor; and three Fiber Bragg Grating sensors in this network at the same time detecting different parameters. We test the performance of the network in three scenarios by fabricating failures of the sensing and backup fibers intentionally to prove the feasibility of the structure. Furthermore, all the status of the network will be uploaded to the human-computer interface of supervisory computer by the master processor through USB in real time. Operators can also control the network through the interface remotely.

[1]  M. Lopez-Amo,et al.  Resilient Amplified Double-Ring Optical Networks to Multiplex Optical Fiber Sensors , 2009, Journal of Lightwave Technology.

[2]  Paul Urquhart,et al.  Protection Architectures for WDM Optical Fibre Bus Sensor Arrays , .

[3]  O. Lopez,et al.  Optical Fiber Bus Protection Network to Multiplex Sensors: Amplification by Remotely Pumped EDFAs , 2009, IEEE Transactions on Instrumentation and Measurement.

[4]  Piet Demeester,et al.  Network Recovery: Protection and Restoration of Optical, SONET-SDH, IP, and MPLS , 2004 .

[5]  Alexandros Stavdas Core and Metro Networks: Stavdas/Core and Metro Networks , 2010 .

[6]  Kun Liu,et al.  Long Measurement Range OFDR Beyond Laser Coherence Length , 2013, IEEE Photonics Technology Letters.

[7]  Peng-Chun Peng,et al.  Reliable Fiber Sensor System with Star-Ring-Bus Architecture , 2010, Sensors.

[8]  Tsong-Ho Wu,et al.  Fiber Network Service Survivability , 1992 .

[9]  Thomas E. Stern,et al.  Multiwavelength Optical Networks: A Layered Approach , 1999 .

[10]  Tiegen Liu,et al.  A hybrid optic-fiber sensor network with the function of self-diagnosis and self-healing , 2014, Photonics Asia.

[11]  R. A. Perez-Herrera,et al.  46-km-Long Raman Amplified Hybrid Double-Bus Network With Point and Distributed Brillouin Sensors , 2012, IEEE Sensors Journal.

[12]  Kazuo Hotate Fiber Sensor Technology Today , 1996, QELS 1996.

[13]  Dagong Jia,et al.  Robustness Analysis Based on Optical Fiber Sensor Networks Topology , 2015, IEEE Sensors Journal.

[14]  P. Urquhart,et al.  Optical Fiber Bus Protection Network to Multiplex Sensors: Dedicated Line and Dedicated Path Operation , 2011, Journal of Lightwave Technology.

[15]  M. Lopez-Amo,et al.  Improved double-fiber-bus with distributed optical amplification for wavelength-division multiplexing of photonic sensors , 2000, IEEE Photonics Technology Letters.

[16]  Tiegen Liu,et al.  The resilient hybrid fiber sensor network with self-healing function. , 2015, The Review of scientific instruments.

[17]  Sien Chi,et al.  Self-healing fibre grating sensor system using tunable multiport fibre laser scheme for intensity and wavelength division multiplexing , 2002 .

[18]  Peng-Chun Peng,et al.  Fiber Bragg Grating Sensor System With Two-Level Ring Architecture , 2009 .

[19]  Jose Miguel Lopez-Higuera,et al.  Handbook of Optical Fibre Sensing Technology , 2014 .

[20]  Tiegen Liu,et al.  A Quantitative Robustness Evaluation Model for Optical Fiber Sensor Networks , 2013, Journal of Lightwave Technology.

[21]  Kun Liu,et al.  A Polarization Control Method Based on Chaotic Particle Swarm Optimization Algorithm in Distributed Fiber-Optic Sensor , 2012 .

[22]  Tiegen Liu,et al.  Deployment Optimization for One-Dimensional Optical Fiber Sensor Networks , 2015, Journal of Lightwave Technology.

[23]  Kumar N. Sivarajan,et al.  Optical Networks: A Practical Perspective, 3rd Edition , 2009 .

[24]  Jose Miguel Lopez-Higuera,et al.  Single and double distributed optical amplifier fiber bus networks with wavelength-division multiplexing for photonic sensors. , 1999 .