干涉型光纤海洋参数传感器的分布式测量方法研究

郑洪坤; 吕日清; 赵勇; 彭昀; 林子婷; 刘睿杰

doi:10.16383/j.aas.c220682

干涉型光纤海洋参数传感器的分布式测量方法研究

doi: 10.16383/j.aas.c220682

郑洪坤^{1, 2,},
吕日清^1,,
赵勇^{1, 3, 4,},
彭昀^{3, 4,},
林子婷^1,,
刘睿杰^1,

1.
东北大学信息科学与工程学院沈阳 110819
2.
之江实验室光纤传感研究中心杭州 311121
3.
东北大学秦皇岛分校控制工程学院秦皇岛 066004
4.
河北省微纳精密光学传感与检测技术重点实验室秦皇岛 066004

基金项目: 国家自然科学基金(61933004, U22A2021), 河北省自然科学基金创新研究群体(F2020501040), 中央高校基本科研业务费(N2304003)资助

详细信息

作者简介:
郑洪坤：之江实验室光纤传感研究中心博士后. 2017年获得东北大学自动化专业学士学位, 2022年获得东北大学检测技术与自动化装置专业博士学位. 主要研究方向为光纤传感技术. E-mail: hongkunzheng@outlook.com

吕日清：东北大学信息科学与工程学院副教授. 2008年获得东北大学生物医学工程专业学士学位, 2010年获得东北大学电路与系统专业硕士学位, 2014年获得东北大学检测技术与自动化装置专业博士学位. 主要研究方向为磁流体, 光纤传感器, 纳米材料和机器学习. 本文通信作者. E-mail: lvriqing@ise.neu.edu.cn

赵勇：东北大学信息科学与工程学院教授. 1996年获得哈尔滨工业大学精密仪器系学士学位, 2001 年获得哈尔滨工业大学精密仪器系博士学位.主要研究方向为光纤传感器与器件的开发, 光纤布拉格光栅传感器, 新型传感器材料与原理和光学测量技术. E-mail: zhaoyong@ise.neu.edu.cn

彭昀：东北大学秦皇岛分校控制工程学院讲师. 2015年获得河北科技大学机械工程学院学士学位, 2017年和2021年分别获得东北大学硕士学位和博士学位. 主要研究方向为光纤传感器件的开发, 量子等离激元传感器及量子测量技术. E-mail: pengyun@neuq.edu.cn

林子婷：东北大学信息科学与工程学院博士研究生. 2018年获得东北大学控制工程学院学士学位. 主要研究方向为光纤传感器, 海洋多参数检测. E-mail: linziting@stumail.neu.edu.cn

刘睿杰：东北大学信息科学与工程学院博士研究生. 2022年获得曲阜师范大学网络空间安全学院学士学位. 主要研究方向为光纤传感, 机器学习. E-mail: 2210332@stu.neu.edu.cn

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出版历程
- 收稿日期: 2022-08-30
- 录用日期: 2022-12-01
- 网络出版日期: 2023-08-24
- 刊出日期: 2023-09-26

Research on the Distributed Measurement Method of Ocean Optical Fiber Sensor Based on Interferometer

ZHENG Hong-Kun^{1, 2
,},
LV Ri-Qing^1
,,
ZHAO Yong^{1, 3, 4
,},
PENG Yun^{3, 4
,},
LIN Zi-Ting^1
,,
LIU Rui-Jie^1
,

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819
2.
Research Center for Optical Fiber Sensing, Zhejiang Laboratory, Hangzhou 311121
3.
School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004
4.
Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, Qinhuangdao 066004

Funds: Supported by National Natural Science Foundation of China (61933004), National Natural Science Foundation of China (U22A2021), Natural Science Foundation of Hebei Province Innovative Research Group Project (F2020501040), and Fundamental Research Funds for the Central Universities (N2304003)

More Information

Author Bio:
ZHENG Hong-Kun　Postdoctor at Research Center for Optical Fiber Sensing, Zhejiang Laboratory. He received his bachelor degree in automation and Ph.D. degree in detection technology and automation device from Northeastern University in 2017 and 2022, respectively. His main research interest is optical fiber sensing technology

LV Ri-Qing　Associate professor at College of Information Science and Engineering, Northeastern University. He received his bachelor degree in biomedical engineering, master degree in circuits and systems and Ph.D. degree in detection technology and automation device from Northeastern University in 2008, 2010 and 2014, respectively. His research interest covers magnetic fluids, fiber-optic sensors, nanomaterials and machine learning. Corresponding author of this paper

ZHAO Yong　Professor at College of Information Science and Engineering, Northeastern University. He received his bachelor degree and Ph.D. degree in precision instrument from Haerbin Institute of Technology in 1996 and 2001, respectively. His research interest covers development of fiber-optic sensors and devices, fiber Bragg grating sensors, novel sensor materials and principles and optical measurement technologies

PENG Yun　Lecturer at School of Control Engineering, Northeastern University at Qinhuangdao. He received his bachelor degree from School of Mechanical Engineering, Hebei University of Science and Technology in 2015. He received his master and Ph.D. degrees from Northeastern University in 2017 and 2021, respectively. His research interest covers development of fiber-optic sensors and device, quantum plasmonic sensors and quantum measurement technologies

LIN Zi-Ting　Ph.D. candidate at College of Information Science and Engineering, Northeastern University. She received her bachelor degree from School of Control Engineering, Northeastern University in 2018. Her research interest covers optical fiber sensors and ocean multi parameter detection

LIU Rui-Jie　Ph.D. candidate at College of Information Science and Engineering, Northeastern University. He received his bachelor degree from Cyberspace Security College of Qufu Normal University in 2022. His research interest covers optical fiber sensor and machine learning

摘要

摘要: 光纤传感器因其灵敏度高、体积小等优点在海洋监测领域得到了广泛关注. 目前高性能的海洋温盐深参数监测光纤传感器大都基于干涉原理, 难以实现同一系统内多个传感器的复用, 不能满足海洋环境参数高时空分辨力的监测需求. 基于调频连续波原理, 提出一种适用于干涉型海洋参数光纤传感器的大容量复用方法. 利用不同干涉仪端面反射光与参考光形成Mach-Zehnder干涉光谱的特征频率确定不同传感器的位置, 通过不同端面特征频率间的拍频还原了单个传感器的光谱. 设计并搭建了干涉型海洋参数传感器的分布式传感系统, 实现了系统中传感器的定位以及光谱信号还原, 并通过理论计算证明分布式传感系统中至少可以实现500个传感器的复用. 本论文的研究可以为高性能干涉型光纤传感器的海洋参数链式监测提供技术支持.
- 光纤传感器 /
- 传感器复用 /
- 调频连续波技术 /
- 法布里−珀罗干涉传感器 /
- 海洋监测
Abstract: Optical fiber sensor has attracted a lot of focus in the ocean observation domain for its high sensitivity and small volume. Currently, the high performance optical fiber sensor is mainly dominated by sensors based on the interference principle. It is hard to achieve the multiplexing with a large number of sensors, which cannot meet the monitoring requirement of high spatiotemporal resolution of ocean parameters. In this paper, a large capacity multiplexing technology based on frequency modulation continuous wave for interferometric optical fiber sensors is proposed. The Mach-Zehnder interferometer formed by the reference beam and reflected light is used to locate the position of the sensor, and the beat frequency between two reflective mirrors is employed to recover the spectrum of the sensor. The distributed sensing system for interferometric optical fiber sensors is designed and built, and the positioning and distinction spectral signals of sensors are realized. The theoretical calculation result indicates the multiplexing amount of sensors can reach 500 at least. The research work in this paper paves the way for the chain monitoring of ocean parameters based on high performance interferometric optical fiber sensors.
- Optical fiber sensors /
- sensor multiplexing /
- frequency modulated continuous wave (FMCW) technology /
- Fabry-Perot interferometer sensors (FPI) /
- ocean monitoring

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图 1 FMCW原理示意图

Fig. 1 Schematic graph of FMCW

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图 2 参考臂和传感臂频率随时间的变化

Fig. 2 Frequency changing of reference beam and sensing arm with time

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图 3 分布式传感仿真系统图

Fig. 3 Simulation configuration of the distributed sensing system

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图 4 仿真得到的系统光谱

Fig. 4 Simulated spectrum of the system

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图 5 仿真光谱的频谱特性图((a)仿真光谱频谱特性图; (b)仿真光谱频谱特性分析放大图)

Fig. 5 Frequency spectrum of the simulated spectrum ((a) Frequency spectrum of the simulated spectrum; (b) Partial enlarged drawing of the frequency spectrum)

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图 6 还原光谱与真实光谱对比((a)周期不匹配的情况; (b)周期匹配的情况)

Fig. 6 Comparison between the retrieved and real spectrum ((a) Mismatch phenomenon; (b) Match phenomenon)

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图 7 实验搭建的FMCW系统

Fig. 7 FMCW system configuration in experiment

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图 8 数据采集处理软件前面板

Fig. 8 Front panel of the data processing software

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图 9 数据处理软件后面板

Fig. 9 Back panel of the data processing software

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图 10 重采样后的复合传感光谱

Fig. 10 Composite sensing spectrum after resampling

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图 11 重采样光谱的频谱图

Fig. 11 Frequency spectrum of the resampled spectrum

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图 12 光纤应力特性测试装置

Fig. 12 Strain characteristic test device of the optical fiber

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图 13 应力传感器响应特性((a)不同质量下谐振波长拟合效果; (b)固定质量下传感器波长监测)

Fig. 13 Responses of the strain sensor ((a) Wavelength fitting result under different weights; (b) Wavelength record under a fixed weight)

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图 14 传感器盐度特性测试装置

Fig. 14 Salinity characteristic test device of the sensor

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图 15 传感器2的光谱分解效果

Fig. 15 Spectrum decomposition of sensor2

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图 16 传感器2盐度响应特性拟合

Fig. 16 Salinity response characteristic fitting result of sensor 2

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图 17 传感器2盐度光谱的连续监测效果

Fig. 17 Continuous wavelength record of the salinity spectrum of sensor 2

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