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开发一种检测空气中的二氧化硫度为10亿分之一的检测装置

Yunhan Zhang^1,2, Yadong Zhao², Jianshen Li¹

¹School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China.

The Review of scientific instruments

|May 8, 2025

概括

这项研究开发了用于检测二氧化硫 (SO2) 度的改进设备,这对于中国的环境监测至关重要. 新方法通过减少电子噪音和温度漂移,显著提高了准确性.

科学领域:

环境科学环境科学
分析化学分析化学
传感器技术传感器技术

背景情况:

中国的快速城市化加剧了环境污染,特别是工业二氧化硫 (SO2) 排放造成的污染.
热发电中的不完全燃烧会释放二氧化,对生态系统构成风险,需要长期控制策略.
现有的SO2检测方法缺乏所需的准确性,可靠性和适应性,无法在中国各个地区广泛开展环境监测.

研究的目的:

开发一种简单,准确和可靠的SO2度检测装置,用于全国电网监测.
为满足适应性设备的需求,能够在中国多样化的环境条件下有效运行.
通过减轻电子噪音和温度漂移来提高SO2检测的准确性和可靠性.

主要方法:

利用变化模式分解 (VMD) 进行信号处理和检测数据的优化.
采用反向传播 (BP) 神经网络来进一步完善和提高SO2测量的准确性.
专注于减少电子噪音和温度漂移对检测设备性能的影响.

主要成果:

成功地将电子噪声的影响降低了约66%.
实现了大约12%的温度漂移影响的减少.
显著提高了SO2度检测设备的整体准确性和可靠性.

结论:

使用VDD和BP神经网络的综合方法为SO2监测提供了一个强大的解决方案.
增强的检测设备表现出更好的性能,满足了准确环境监测的要求.
这项技术支持中国有效的SO2源控制和环境保护倡议.

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