半导体气体传感器在多参数传感和特征提取方法方面的进展
Binqiang Ye1, Minglang Zhang1, Bin Jiang1
1Chongqing Key Laboratory of Optical Fiber Sensor and Photoelectric Detection, Chongqing University of Technology, 400054 Chongqing, China.
The Review of scientific instruments
|December 17, 2025
概括
半导体气体传感器的进步提高了复杂混合物的检测精度,使用多参数传感和机器学习进行漂移补偿. 这些方法提高了环境适应性和气体识别性能.
科学领域:
- 材料科学 材料科学 材料科学
- 化学传感器 化学传感器
- 数据科学数据科学数据科学
背景情况:
- 在复杂环境中对精确气体检测的需求日益增长.
- 半导体气体传感器对于工业,医疗和环境监测至关重要.
- 近年来,传感器技术取得了重大进展.
研究的目的:
- 系统地审查半导体气体传感器技术的进展.
- 专注于多参数传感,漂移补偿和特征提取.
- 概述增强气体检测的未来研究方向.
主要方法:
- 分析多参数数据采集技术 (传感器阵列,温度/光学调制).
- 漂移补偿策略的总结 (校准,机器学习,深度学习).
- 评估特征提取方法 (时间域分析,深度学习).
主要成果:
- 多参数传感提高了对复杂气体混合物的区分精度,达到98%以上.
- 深度学习漂移补偿在漂移下保持了超过90%的分类准确性.
- 特性提取技术实现了优异的气体识别性能.
结论:
- 多参数传感,漂移补偿和特征提取是先进半导体气体传感器的关键.
- 机器学习,特别是深度学习,显著提高了传感器的适应性和准确性.
- 未来的工作应该集中在混合平台,适应性校正和可解释的AI上.
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