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微弱气体浓度检测的弛豫平滑处理算法

朱 明，王 殊，朱振宇，刘丽婧   

  1. 华中科技大学 电子与信息工程系,湖北 武汉 430074
  • 收稿日期:2007-09-02 修回日期:2007-11-05 出版日期:2008-03-31 发布日期:2008-03-31

Relaxational Smooth Processing for Detection of Weak Concentration Gas

ZHU Ming, WANG Shu, ZHU Zhen-yu, LIU Li-jing   

  1. Department of Electronics and Information, Huazhong University of Science and Technology, Wuhan 430074,China
  • Received:2007-09-02 Revised:2007-11-05 Online:2008-03-31 Published:2008-03-31

被引次数

5

摘要： 研究了气体分子碰撞能量转移模型和弛豫声衰减理论。分析了混合气体中某些成分的浓度低于0.01%时，分子复合弛豫声衰减系数与气体浓度的模型变为崎岖不平的原因。利用信号处理中的滤波方法，使用平滑窗处理弛豫声衰减结果，改善了弛豫声衰减理论。得到了检测三元混合气体中微弱气体浓度的算法，检测浓度达到0.001%。设计了3种不同权重的平滑窗，均可降低由微弱浓度引起的检测误差扩大，其仿真结果一致证明弛豫平滑处理算法的合理性。

关键词: 微弱气体浓度检测, 平滑窗, 复合弛豫声衰减

Abstract:

By analyzing the energy transfer models in molecular collision processes and the acoustic relaxation attenuation in gas, we find the reason of ruggedness in the dependence of molecular multi-relaxation attenuation coefficient on the mixture concentrations when the gas constituents have concentrations less than 0.01%. We use a typical smooth window to process acoustic relaxation attenuation data, and develop an algorithm to detect weak gas concentration of three-component gas mixtures. The measuring accuracy of this method achieves 0.001%. Three designed matrices with different weighted averages can all reduce errors resulting from weak gas concentration. The simulation results of consistent error-reduction using all the matrices show that the relaxation smooth processing algorithm is reasonable.

Key words: weak gas concentrations detection, smoothing windows, acoustic multi-relaxation attenuation