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,...

Full description

Bibliographic Details
Main Authors: José Trinidad Guillen Bonilla, Héctor Guillen Bonilla, Verónica María Rodríguez Betancourtt, Antonio Casillas Zamora, María Eugenia Sánchez Morales, Lorenzo Gildo Ortiz, Alex Guillen Bonilla
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/8/1759
_version_ 1798005842778259456
author José Trinidad Guillen Bonilla
Héctor Guillen Bonilla
Verónica María Rodríguez Betancourtt
Antonio Casillas Zamora
María Eugenia Sánchez Morales
Lorenzo Gildo Ortiz
Alex Guillen Bonilla
author_facet José Trinidad Guillen Bonilla
Héctor Guillen Bonilla
Verónica María Rodríguez Betancourtt
Antonio Casillas Zamora
María Eugenia Sánchez Morales
Lorenzo Gildo Ortiz
Alex Guillen Bonilla
author_sort José Trinidad Guillen Bonilla
collection DOAJ
description 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.
first_indexed 2024-04-11T12:45:20Z
format Article
id doaj.art-ac98997a3fac48e1915307e8aeb63adf
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-11T12:45:20Z
publishDate 2019-04-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-ac98997a3fac48e1915307e8aeb63adf2022-12-22T04:23:21ZengMDPI AGSensors1424-82202019-04-01198175910.3390/s19081759s19081759Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot InterferometersJosé Trinidad Guillen Bonilla0Héctor Guillen Bonilla1Verónica María Rodríguez Betancourtt2Antonio Casillas Zamora3María Eugenia Sánchez Morales4Lorenzo Gildo Ortiz5Alex Guillen Bonilla6Departamento de Electrónica, Centro Universitario de Ciencias Exactas e Ingenierías (C.U.C.E.I.), Universidad de Guadalajara, Blvd. M. García Barragán 1421, C. P. 44430, Guadalajara, Jalisco 44430, MexicoDepartamento de Ingeniería de Proyectos, Centro Universitario de Ciencias Exactas e Ingenierías (C.U.C.E.I.), Universidad de Guadalajara, Blvd. M. García Barragán 1421, C. P. 44430, Guadalajara, Jalisco 44430, MexicoDepartamento de Química, Centro Universitario de Ciencias Exactas e Ingenierías (C.U.C.E.I.), Universidad de Guadalajara, Blvd. M. García Barragán 1421, C. P. 44430, Guadalajara, Jalisco 44430, MexicoDepartamento de Ingeniería de Proyectos, Centro Universitario de Ciencias Exactas e Ingenierías (C.U.C.E.I.), Universidad de Guadalajara, Blvd. M. García Barragán 1421, C. P. 44430, Guadalajara, Jalisco 44430, MexicoDepartamento de Ciencias Tecnológicas, Centro Universitario de la Ciénega, Universidad de Guadalajara, Av. Universidad No. 1115, Lindavista, C. P. 47810, Ocotlán, Jalisco 47810, MexicoDepartamento de Física, Centro Universitario de Ciencias Exactas e Ingenierías (C.U.C.E.I.), Universidad de Guadalajara, Blvd. M. García Barragán 1421, C.P. 44430, Guadalajara, Jalisco 44430, MexicoDepartamento de Ciencias Computacionales, Centro Universitario de los Valles (CUValles), Universidad de Guadalajara, Ameca Km. 45.5, C.P., Ameca, Jalisco 46600, MexicoIn 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.https://www.mdpi.com/1424-8220/19/8/1759quasi-distributed optical fiber sensorwavelength/frequency division multiplexingFabry-Pérot sensorstheoretical analysissensor simulation
spellingShingle José Trinidad Guillen Bonilla
Héctor Guillen Bonilla
Verónica María Rodríguez Betancourtt
Antonio Casillas Zamora
María Eugenia Sánchez Morales
Lorenzo Gildo Ortiz
Alex Guillen Bonilla
Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers
Sensors
quasi-distributed optical fiber sensor
wavelength/frequency division multiplexing
Fabry-Pérot sensors
theoretical analysis
sensor simulation
title Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers
title_full Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers
title_fullStr Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers
title_full_unstemmed Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers
title_short Signal Analysis, Signal Demodulation and Numerical Simulation of a Quasi-Distributed Optical Fiber Sensor Based on FDM/WDM Techniques and Fabry-Pérot Interferometers
title_sort signal analysis signal demodulation and numerical simulation of a quasi distributed optical fiber sensor based on fdm wdm techniques and fabry perot interferometers
topic quasi-distributed optical fiber sensor
wavelength/frequency division multiplexing
Fabry-Pérot sensors
theoretical analysis
sensor simulation
url https://www.mdpi.com/1424-8220/19/8/1759
work_keys_str_mv AT josetrinidadguillenbonilla signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers
AT hectorguillenbonilla signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers
AT veronicamariarodriguezbetancourtt signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers
AT antoniocasillaszamora signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers
AT mariaeugeniasanchezmorales signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers
AT lorenzogildoortiz signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers
AT alexguillenbonilla signalanalysissignaldemodulationandnumericalsimulationofaquasidistributedopticalfibersensorbasedonfdmwdmtechniquesandfabryperotinterferometers