Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers

In civil engineering quasi-distributed optical fiber sensors are used for reinforced concrete monitoring, precast concrete monitoring, temperature monitoring, strain monitoring and temperature/strain monitoring. These quasi-distributed sensors necessarily apply some multiplexing technique. However,...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Switzerland), 2019-04, Vol.19 (8), p.1759
Main Authors:	Guillen Bonilla, José Trinidad, Guillen Bonilla, Héctor, Rodríguez Betancourtt, Verónica María, Casillas Zamora, Antonio, Sánchez Morales, María Eugenia, Gildo Ortiz, Lorenzo, Guillen Bonilla, Alex
Format:	Article
Language:	eng
Subjects:	Fabry-Pérot sensors quasi-distributed optical fiber sensor sensor simulation theoretical analysis wavelength/frequency division multiplexing
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Summary:	In civil engineering quasi-distributed optical fiber sensors are used for reinforced concrete monitoring, precast concrete monitoring, temperature monitoring, strain monitoring and temperature/strain monitoring. These quasi-distributed sensors necessarily apply some multiplexing technique. However, on many occasions, two or more multiplexing techniques are combined to increase the number of local sensors and then the cost of each sensing point is reduced. In this work, a signal analysis and a new signal demodulation algorithm are reported for a quasi-distributed optic fiber sensor system based on Frequency Division Multiplexing/Wavelength Division Multiplexing (FDM/WDM) and low-precision Fabry-Pérot interferometers. The mathematical analysis and the new algorithm optimize its design, its implementation, improve its functionality and reduce the cost per sensing point. The analysis was corroborated by simulating a quasi-distributed sensor in operation. Theoretical analysis and numerical simulation are in concordance. The optimization considers multiplexing techniques, signal demodulation, physical parameters, system noise, instrumentation, and detection technique. Based on our analysis and previous results reported, the optical sensing system can have more than 4000 local sensors and it has practical applications in civil engineering.
ISSN:	1424-8220 1424-8220