近红外离轴空洞增强光学频率光谱用于CO2/CO双气体检测,辅助机器学习
Gangyun Guan1, Anqi Liu1, Xuyang Wu1
1State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, P.R. China.
ACS sensors
|January 30, 2024
概括
这项研究引入了离轴腔增强的光学频率光谱仪,用于敏感气体检测. 新方法提高了检测一氧化碳和二氧化碳的准确性并简化了检测系统.
科学领域:
- 频谱学是一种光谱学.
- 光学传感传感器是什么?
- 气体分析 气体分析
背景情况:
- 洞穴增强的直频光谱 (CE-DFCS) 为气体检测提供了高灵敏度.
- 在CE-DFCS中,轴上合受到空腔模式噪声的限制,需要复杂的外部设备.
- 这种复杂性阻碍了开发稳定且可在现场部署的气体传感系统.
研究的目的:
- 提出和验证一个离轴腔增强的光学频率光谱技术.
- 通过抑制空腔模式噪声来提高气体检测的准确性和稳定性.
- 开发一个智能传感器系统,同时检测多种气体,如CO和CO2.
主要方法:
- 实施了非轴联接方案,使用合的纤维频率和共振腔.
- 激发高阶模式以有效地抑制空腔模式噪声.
- 利用机器学习模型,包括粒子优化支持矢量机 (PSO-SVM),用于气体度逆转.
主要成果:
- 离轴技术成功地抑制了空洞模式噪声.
- 在PSO-SVM模型中,单气和双气度的预测准确度最高.
- 实现了CO的检测极限8.247 ppmv和CO的同时检测极限13.196 ppmv和CO的4.658 ppmv.
结论:
- 离轴CE-DFCS提供了一种简化和更稳定的气体传感方法.
- 开发的技术显示出能够在现场部署,能够检测多种气体的智能传感器的潜力.
- 机器学习集成可以提高光学气体传感系统的性能.
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