基于倾斜光栅串联Sagnac干涉仪和ResNet网络的高精度盐度和温度测量

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Weihao Lin;Yibin Liu;Yuhui Liu;Xiasen Yang;Renan Xu;Xuming Zhang;Li-Yang Shao;Perry Ping Shum
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引用次数: 0

摘要

盐度和温度的测量对海洋观测至关重要。然而,由于光纤传感器存在交叉敏感现象,传统的光纤解调算法难以同时准确测量双参数。本研究采用倾斜光纤布拉格光栅(TFBG)和Sagnac干涉仪(SI)的级联结构同时监测盐度和温度。提出了一种基于迁移学习的ResNet网络(TFRes),可以同时解调两个变量。传感器浸泡在不同盐度(0% ~ 25%,间隔5%)、温度(20 ~ 32℃,间隔3℃)的氯化钠溶液中,共采集1680个光谱样本进行训练和测试。SI的温度灵敏度为- 1.458 nm/°C,平均绝对误差(MAE)为0.28°C。TFBG核心模式对温度的灵敏度为0.009 nm/°C,其中一个包层模式对盐度的灵敏度为0.004 nm/%。经过TFRes的训练,我们成功地通过分析SI和TFBG的复合反射光谱实现了盐度和温度变化的精确解调。温度和盐度的MAE分别为0.07304°C和0.07285%,比传统的分析仪解调方法高出4倍。进行双参数同步变化监测实验,温度误差0.18℃,盐度误差0.1%。所设计的传感系统将在海洋物理量监测中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Accuracy Measurement of Salinity and Temperature Based on Tilted Grating Concatenated Sagnac Interferometer and ResNet Network
The measurement of salinity and temperature is vital for ocean observation. However, due to the cross-sensitivity phenomenon of fiber sensors, traditional fiber-based demodulation algorithms are difficult to measure the dual-parameter accurately and simultaneously. In this research, a cascaded structure of a tilted fiber Bragg grating (TFBG) and a Sagnac interferometer (SI) is employed to monitor salinity and temperature simultaneously. The transfer learning-based ResNet networks (TFRes) is proposed to demodulate two variables at the same time. A total of 1680 spectral samples were collected for training and testing when the sensor was immersed in sodium chloride solution with different salinities ranging from 0% to 25% with 5% intervals and temperatures ranging from 20 °C to 32 °C with 3 °C intervals. The SI exhibits a temperature sensitivity of −1.458 nm/°C, accompanied by a mean absolute error (MAE) of 0.28 °C. The sensitivity of the TFBG core mode to temperature is 0.009 nm/°C, and the sensitivity of one of the cladding modes to salinity is 0.004 nm/%. After training through the TFRes, we successfully achieved precise demodulation of salinity and temperature variations by analyzing the composite reflection spectra of SI and TFBG. The MAE amounted to 0.07304 °C for temperature and 0.07285% for salinity, outperforming traditional analyzer demodulation methods by a factor of four. The monitoring experiment of dual parameter simultaneous changes is conducted, with a temperature error of 0.18 °C and a salinity error of 0.1%. The designed sensing system is poised to play a significant role in marine physical quantity monitoring.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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