通过基于MOS的MEMS气体传感器阵列检测和识别化学战剂的模式
Mengxue Xu1, Xiaochun Hu1, Hongpeng Zhang1
1Institute of NBC Defence, Beijing 102205, China.
Sensors (Basel, Switzerland)
|April 26, 2025
概括
使用基于金属氧化物半导体 (MOS) 的MEMS技术的新型传感器阵列有效检测低度的化学战剂 (CWA). 模式识别算法实现近100%的准确性,用于快速的现场CWA识别.
科学领域:
- 化学传感器是一种化学传感器.
- 材料科学 是一种材料科学.
- 微电子机械系统 (MEMS) 是一种微电子机械系统.
背景情况:
- 化学战剂 (CWA) 构成重大公共安全风险.
- 开发快速可靠的CWA检测技术对于预警和公共安全至关重要.
研究的目的:
- 开发一个紧的,低功耗的传感器阵列,用于检测多个CWA.
- 在检测范围,限制和准确性方面评估传感器阵列的性能.
- 应用模式识别算法用于CWA分类和识别.
主要方法:
- 使用基于金属氧化物半导体 (MOS) 的MEMS技术制造24个传感器阵列.
- 测试传感器对各种CWA的反应,包括化 (AC),GB,GD,VX和HD.
- 从动力和动态传感响应特征中提取特征.
- 主要组件分析 (PCA) 和机器学习 (狭窄神经网络) 的应用用于分类.
主要成果:
- 基于MOS的MEMS传感器阵列显示了所有测试的CWA的良好传感性能.
- 检测极限低于立即危及生命和健康 (IDLH) 的水平,使得早期预警.
- 对于不同的CWA,PCA显示了不同的分组.
- 一个狭窄的神经网络实现了近100.0%的预测准确度,用于CWA分类.
结论:
- 开发的基于MOS的MEMS传感器阵列适合对CWA进行定性检测和早期预警.
- 与模式识别算法的集成允许快速,现场和现场的CWA检测和识别.
- 传感器阵列显示了便携式CWA检测设备的巨大潜力.
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