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涂覆敏感材料的超弱光纤布拉格光栅传感网络用于多参数测量

Ultra-Weak Fiber Bragg Grating Sensing Network Coated with Sensitive Material for Multi-Parameter Measurements.

作者信息

Bai Wei, Yang Minghong, Hu Chenyuan, Dai Jixiang, Zhong Xuexiang, Huang Shuai, Wang Gaopeng

机构信息

National Engineering Laboratory for Fiber Optic Sensing Technologies, Wuhan University of Technology, Wuhan 430070, China.

Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan, 430070, China.

出版信息

Sensors (Basel). 2017 Jun 26;17(7):1509. doi: 10.3390/s17071509.

DOI:10.3390/s17071509
PMID:28672872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539773/
Abstract

A multi-parameter measurement system based on ultra-weak fiber Bragg grating (UFBG) array with sensitive material was proposed and experimentally demonstrated. The UFBG array interrogation principle is time division multiplex technology with two semiconductor optical amplifiers as timing units. Experimental results showed that the performance of the proposed UFBG system is almost equal to that of traditional FBG, while the UFBG array system has obvious superiority with potential multiplexing ability for multi-point and multi-parameter measurement. The system experimented on a 144 UFBG array with the reflectivity of UFBG ~0.04% for the four target parameters: hydrogen, humidity, temperature and salinity. Moreover, a uniform solution was customized to divide the cross-sensitivity between temperature and other target parameters. It is expected that this scheme will be capable of handling thousands of multi-parameter sensors in a single fiber.

摘要

提出并通过实验验证了一种基于带有敏感材料的超弱光纤布拉格光栅(UFBG)阵列的多参数测量系统。UFBG阵列的询问原理是采用两个半导体光放大器作为定时单元的时分复用技术。实验结果表明,所提出的UFBG系统的性能几乎与传统光纤布拉格光栅(FBG)系统相当,而UFBG阵列系统在多点和多参数测量的潜在复用能力方面具有明显优势。该系统在一个具有144个UFBG的阵列上进行了实验,这些UFBG对氢气、湿度、温度和盐度这四个目标参数的反射率约为0.04%。此外,定制了一种均匀溶液来消除温度与其他目标参数之间的交叉敏感性。预计该方案能够在单根光纤中处理数千个多参数传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/b468f507aa0f/sensors-17-01509-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/82eb35bc87ad/sensors-17-01509-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/d88d2ca13f72/sensors-17-01509-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/0bb6a2e2f7e6/sensors-17-01509-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/72eb636b86ed/sensors-17-01509-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/6da34ac7d730/sensors-17-01509-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/f48f7fca00f7/sensors-17-01509-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/097864eabbe6/sensors-17-01509-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/b468f507aa0f/sensors-17-01509-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/82eb35bc87ad/sensors-17-01509-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/8ae6ebaf4b6b/sensors-17-01509-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/c4e640338c25/sensors-17-01509-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/a5e890367ec5/sensors-17-01509-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/7a1644848153/sensors-17-01509-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/4c4e71ccf9c9/sensors-17-01509-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/3f115647426d/sensors-17-01509-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/d88d2ca13f72/sensors-17-01509-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/0bb6a2e2f7e6/sensors-17-01509-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/72eb636b86ed/sensors-17-01509-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/6da34ac7d730/sensors-17-01509-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/f48f7fca00f7/sensors-17-01509-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/097864eabbe6/sensors-17-01509-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9298/5539773/b468f507aa0f/sensors-17-01509-g014.jpg

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