Research on FBG Based Sensor Networks and Their Coexistence with Fiber Optical Transmission Systems
Journal of Sensors 2019
Uģis Seņkāns, Jānis Braunfelds, Ilya Lyashuk, Jurģis Poriņš, Sandis Spolītis, Vjačeslavs Bobrovs

Market forecasts and trends for the usage of fiber optical sensors confirm that demand for them will continue to increase in the near future. This article focuses on the research of fiber Bragg grating (FBG) sensor network, their applications in IoT and structural health monitoring (SHM), and especially their coexistence with existing fiber optical communication systems infrastructure. Firstly, the spectrum of available commercial optical FBG temperature sensor was experimentally measured and amplitude-frequency response data was acquired to further develop the simulation model in the environment of RSoft OptSim software. The simulation model included optical sensors network, which is combined with 8-channel intensity modulated wavelength division multiplexed (WDM) fiber optical data transmission system, where one shared 20 km long ITU-T G.652 single mode optical fiber was used for transmission of both – sensor and data signals. Secondly, research on a minimal allowable channel spacing between sensors’ channels was investigated by using Mathworks MATLAB software, as well as new effective and more precise determination algorithm of the exact center of the sensor signal's peak was proposed. Finally, we experimentally show successfully operating coexistence concept of the spectrum sliced fiber optical transmission system with embedded scalable FBG sensor network over one shared optical fiber, where the whole system is feed by only one broadband light source.


DOI
10.1155/2019/6459387
Hyperlink
https://www.hindawi.com/journals/js/2019/6459387/

Seņkāns, U., Braunfelds, J., Lyashuk, I., Poriņš, J., Spolītis, S., Bobrovs, V. Research on FBG Based Sensor Networks and Their Coexistence with Fiber Optical Transmission Systems. Journal of Sensors, 2019, Vol. 2019, Article number 6459387. ISSN 1687-725X. e-ISSN 1687-7268. Available from: doi:10.1155/2019/6459387

Publication language
English (en)
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