人工智能驱动的光子鼻子:从传统传感器到云端智能微系统
Hong Zhou1, Hemin Zhang2, Ruirong Zhang2
1Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 710072, Xi'an, China. zhouhong@nwpu.edu.cn.
Microsystems & nanoengineering
|November 6, 2025
概括
光子鼻子,模仿人类气味的光学传感器,正在与人工智能 (AI) 和机器学习 (ML) 一起发展. 这项技术为各种应用提供了敏感的,无标签的挥发性分析.
科学领域:
- 光电学是指光电子产品.
- 化学传感器 化学传感器
- 人工智能的人工智能
背景情况:
- 光子鼻子是模仿人类嗅觉能力的光学传感系统.
- 它们提供高灵敏度和快速,无标签的化学挥发物的分析,超过传统的传感器.
- 这项技术将光学现象与先进的计算方法相结合.
研究的目的:
- 提供对光子鼻子技术的深入审查,重点关注它们的演变和与AI和ML的整合.
- 探索光学传感方法,制造技术以及ML在光子鼻子系统中的作用.
- 讨论人工智能驱动的光子鼻子的云到边缘计算集成和应用场景.
主要方法:
- 对关键光学传感技术 (色度测量,折射率传感,光谱学) 的审查.
- 对集成光子设备的制造方法的分析.
- 探索机器学习算法和云端计算的实时分析.
主要成果:
- 人工智能和机器学习显著提高了光子鼻子的能力,用于智能微系统设计.
- 光子鼻子在环境监测,医学诊断和食品安全方面显示出潜力.
- 对比分析显示,相对于电子鼻子和传统分析仪器,它具有优势.
结论:
- 人工智能驱动的光子鼻子代表了传感技术的重大进步.
- 未来的开发重点是创建更智能,小型化和更强大的光子传感系统.
- 应对当前的挑战将为更广泛的采用和更好的表现铺平道路.
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