Research on spectral resource optimization and self-healing technology of hybrid optical fiber sensing network

Cheng Chen; Mei Sang; Chunfeng Ge; Guanghui Chen; Tiegen Liu

doi:10.1117/12.2193411

10 August 2015 Research on spectral resource optimization and self-healing technology of hybrid optical fiber sensing network

Cheng Chen, Mei Sang, Chunfeng Ge, Guanghui Chen, Tiegen Liu

Author Affiliations +

Proceedings Volume 9620, 2015 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 96200N (2015) https://doi.org/10.1117/12.2193411
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

We propose an optical-fiber-sensing-network (OFSN) to allow hybrid fiber sensors working in the same network and it achieves self-healing function. The discrete and distributed optical fiber sensors can be connected in sub-layers of the network. WDM-OTDM technique is introduced to convert multi-wavelengths of light source into a specific arranged wavelength in each sub-layer. Thus every sub-layer can share the system spectrum resources, and sensing signals of each sub-layer are transmitted together in the backbone network. To achieve self-healing function, double-ring structure is adopted in the backbone network. Node microprocessor program is designed to make switching to the protect fiber when working fiber is broken. The experimental backbone setup of the network demonstrates the practical reliability and intelligence of the optical sensing network.

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Cheng Chen, Mei Sang, Chunfeng Ge, Guanghui Chen, and Tiegen Liu "Research on spectral resource optimization and self-healing technology of hybrid optical fiber sensing network", Proc. SPIE 9620, 2015 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 96200N (10 August 2015); https://doi.org/10.1117/12.2193411

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KEYWORDS

Sensors

Fiber optics sensors

Optical networks

Fiber Bragg gratings

Optical sensing

Optical fibers

Sensing systems

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