使用PDMS和不同的包结构来设计OMC-Sagnac循环,以提高传感性能和优化不良条件的矩阵
Shumao Zhang1,2,3,4, Yang Yu2,3, Xiaoyang Hu4
1Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
这项研究优化了光学微纤合器萨格纳克环传感器用于海洋探索. 结构修改提高了压力灵敏度,减少了错误,而机器学习提高了调节精度,用于准确的海水测量.
科学领域:
- 海洋学 海洋学 海洋学
- 光学传感传感器是什么?
- 材料科学 材料科学 材料科学
背景情况:
- 准确的海水温度和压力测量对于了解海洋学过程至关重要.
- 现有的光学传感器面临的挑战是多参数交叉灵敏度和解调错误.
研究的目的:
- 为光学微纤合器组合萨格纳克环 (OMCSL) 传感器设计和评估不同的包装结构.
- 分析包装对温度和压力测量的传感器性能的影响.
- 提高解调传感器数据的准确性,特别是处理条件不佳的矩阵.
主要方法:
- 在V形,方形和半圆形的聚二甲基 (PDMS) 结构中封装的OMCSL传感器的制造.
- 温度和压力反应特征的实验和模拟分析.
- 灵敏度矩阵方法 (SMM) 和机器学习方法 (MLM) 用于数据调节和错误分析.
主要成果:
- 结构变化对温度灵敏度的影响很小,但对压力灵敏度的影响很大,方形形状呈现最高.
- 半圆形结构改善了灵敏度矩阵,减少了输入错误的影响,并优化了条件不良的矩阵.
- 机器学习方法有效地提高了解调精度,减轻了与交叉敏感性相关的错误.
结论:
- 对OMCSL传感器的结构优化是一种可行的策略,可以提高灵敏度,并解决海洋探测中的多参数交叉灵敏性问题.
- 采用机器学习提供了一种新的方法来克服在SMM中因条件不佳的矩阵造成的模拟不准确性.
- 开发的全光学传感器技术对强大的海洋环境检测具有实际意义.
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