一种基于响应曲线内在特征的气体传感器漂移补偿方法
1College of Mechanical and Electrical Engineering, Wenzhou University, 325035, Wenzhou, People's Republic of China. sunyubing@wzu.edu.cn.
Scientific reports
|July 24, 2023
概括
这项研究引入了一种用于气体传感的新型传感器漂移补偿方法. 该技术利用内在的感觉响应特征来提高检测准确度,显示分类率增加了20%.
科学领域:
- 环境科学 环境科学
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 传感器漂移是气体传感的一个重大挑战,随着时间的推移,性能下降.
- 现有的补偿方法往往需要大量的数据或复杂的校准.
- 了解传感器响应中的内在关系是有效漂移管理的关键.
研究的目的:
- 提出一种基于内在感官响应特征的新传感器漂移补偿方法.
- 用气体传感器响应的长期数据集 (36个月) 来验证该方法的有效性.
- 证明拟议的补偿技术的可扩展性和效率.
主要方法:
- 收集了两个气体类型的36个月气体传感器响应数据集.
- 从传感器数据中提取了稳态和瞬态特征.
- 在不同的时间点探索了这些特征之间的内在关系.
- 开发了一个漂移补偿算法,以调整传感器特征到基线 (月 1).
- 使用支持矢量机器 (SVM) 来评估补偿方法的性能.
主要成果:
- 确定了随着时间的推移稳态和瞬态传感器特征之间的一致关系.
- 证明22个月的监测数据足以在许多情况下提供有效的补偿.
- 在应用漂移补偿后,SVM正确分类率大约增加了20%.
- 验证了该方法对长期气体传感器监测的有效性.
结论:
- 提出的基于内在特征的方法有效地弥补了气体传感中的传感器漂移.
- 该方法需要最小的数据来构建模型,并表现出强大的可扩展性.
- 这种技术在长时间内显著提高了气体检测系统的可靠性和准确性.
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