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用于大规模光纤布拉格光栅传感的高速询问

High-Speed Interrogation for Large-Scale Fiber Bragg Grating Sensing.

作者信息

Hu Chenyuan, Bai Wei

机构信息

MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China.

School of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China.

出版信息

Sensors (Basel). 2018 Feb 24;18(2):665. doi: 10.3390/s18020665.

DOI:10.3390/s18020665
PMID:29495263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5855077/
Abstract

A high-speed interrogation scheme for large-scale fiber Bragg grating (FBG) sensing arrays is presented. This technique employs parallel computing and pipeline control to modulate incident light and demodulate the reflected sensing signal. One Electro-optic modulator (EOM) and one semiconductor optical amplifier (SOA) were used to generate a phase delay to filter reflected spectrum form multiple candidate FBGs with the same optical path difference (OPD). Experimental results showed that the fastest interrogation delay time for the proposed method was only about 27.2 us for a single FBG interrogation, and the system scanning period was only limited by the optical transmission delay in the sensing fiber owing to the multiple simultaneous central wavelength calculations. Furthermore, the proposed FPGA-based technique had a verified FBG wavelength demodulation stability of ±1 pm without average processing.

摘要

提出了一种用于大规模光纤布拉格光栅(FBG)传感阵列的高速询问方案。该技术采用并行计算和流水线控制来调制入射光并解调反射的传感信号。使用一个电光调制器(EOM)和一个半导体光放大器(SOA)来产生相位延迟,以从具有相同光程差(OPD)的多个候选FBG中滤出反射光谱。实验结果表明,该方法对于单个FBG询问的最快询问延迟时间仅约为27.2微秒,并且由于同时进行多个中心波长计算,系统扫描周期仅受传感光纤中的光传输延迟限制。此外,所提出的基于现场可编程门阵列(FPGA)的技术经验证,在无需平均处理的情况下,FBG波长解调稳定性为±1皮米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/7b684f4ea56a/sensors-18-00665-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/56f9d5d96cd6/sensors-18-00665-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/0613be799a77/sensors-18-00665-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/6782da455d63/sensors-18-00665-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/dfc9b10ea186/sensors-18-00665-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/bf79004019f6/sensors-18-00665-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/792e63e8e6b2/sensors-18-00665-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/4f65ef37e3df/sensors-18-00665-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/fb027f0e8783/sensors-18-00665-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/e3c0ad1f772a/sensors-18-00665-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/7b684f4ea56a/sensors-18-00665-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/56f9d5d96cd6/sensors-18-00665-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/0613be799a77/sensors-18-00665-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/6782da455d63/sensors-18-00665-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/dfc9b10ea186/sensors-18-00665-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/bf79004019f6/sensors-18-00665-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/792e63e8e6b2/sensors-18-00665-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/4f65ef37e3df/sensors-18-00665-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/fb027f0e8783/sensors-18-00665-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/e3c0ad1f772a/sensors-18-00665-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0a/5855077/7b684f4ea56a/sensors-18-00665-g010.jpg

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引用本文的文献

1
A Fiber Bragg Grating Interrogation System with Self-Adaption Threshold Peak Detection Algorithm.一种采用自适应阈值峰值检测算法的光纤布拉格光栅传感解调系统。
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