深度学习辅助的色度测量/电气双传感系统用于超快速检测硫化
Yajing Chen1, Dongzhi Zhang1, Mingcong Tang1
1College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China.
ACS sensors
|April 8, 2024
概括
一个新的双传感系统以高精度和低功率检测硫化 (H2S) 气体. 这种可适应的系统为各种应用提供实时的定量H2S检测.
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
- 纳米技术纳米技术
背景情况:
- 精确的硫化 (H2S) 气体检测对于环境监测和工业安全至关重要.
- 现有的H2S传感器通常在灵敏度,选择性,响应时间或功耗方面面临限制.
- 开发可适应,低功耗和高精度的H2S检测系统仍然是一个重大挑战.
研究的目的:
- 开发一种新的色度测量/电气双传感系统 (CEDS),用于低功耗,高精度和实时的H2S气体检测.
- 通过双模式并行系统来研究双重灵敏机制并解决传感器冗余问题.
- 为了验证系统的性能和可行性,用于实际的H2S监控应用.
主要方法:
- 在柔性聚乙烯二甲 (PET) 基板上通过电制造酸/聚乙烯醇 (Pb(Ac) 2/PVA) 纳米纤维薄膜.
- 构建一个CEDS,同时记录视觉和电气反应,用于定量H2S检测.
- 改进的曼哈顿细分算法和深度神经网络 (DNN) 的应用,用于智能数据分析.
主要成果:
- CEDS显示了H2S的广泛检测范围,从0.1到100ppm.
- 在4秒内实现了最快的H2S度识别.
- 传感器在180天内表现出极好的稳定性,具有高选择性和0.1ppm的低检测极限 (LOD).
- 在地下水道中成功验证CEDS用于H2S测量.
结论:
- 开发的CEDS为低功耗,高精度的H2S气体检测提供了强大而高效的解决方案.
- 双模式并行系统有效地克服了传感器冗余问题.
- 这项工作为广泛的H2S监测应用提供了一种新的,可适应的方法.
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