中文摘要：

针对目前傅里叶变换红外光谱分析还不能独立应用于气体成分多、部分成分具有同种分子基团、气体浓度变化范围大的复杂多组分混合气体的在线分析问题,文章以甲烷、乙烷、丙烷、异丁烷和正丁烷五种轻烷烃气体的混合气体的光谱分析为例,提出采用充分考虑气体温度、压力及干扰气的影响,采用特征提取、光谱畸变识别与修正、神经网络的鲁棒建模与分层建模的方法来实现具有相同分子基团的混合气体光谱分析。最后给出了五种轻烷烃气体的光谱与气相色谱的在线分析结果。分析结果对比曲线表明,两种仪器分析结果曲线几乎完全重合,这说明该文提出的光谱分析方法可以独立应用于具有相同分子基团的多组分气体混合气体现场在线分析,解决了科学研究和工程应用中气体组分复杂、气体浓度变化范围大的复杂多组分混合气现场分析难题。

英文摘要：

Aimed at the problem that Fourier transform infrared（FTIR） spectral analysis can＇t be used solely to analyze complex gas mxiture,in which there are many gas compositions,some compositions have same molecular group,and the concentrations of some compositions range greatly,in the present paper,a new spectral analysis method is proposed.For this method,the effects of gas temperature and gas pressure on the analysis result are taken into account,and feature variable extraction,recognition and correction of spectral disorder,robust modeling and multi-layer modeling with neural network（NN） are used to build gas mixture analysis models.At the end of this paper,on-line analysis of five alkane gases is taken as example to test the performance of the analysis method.CH4,C2H6,C3H8,iso-C4H10 and n-C4H10 are taken as object gases while iso-C5H12 and n-C5H12 are looked as disturbing gases.The comparison results that analysis result curves of FTIR overlap that of gas chromatograph indicate that FTIR can be solely used in on-line and in-situ analysis of multicomponent gas mixture with same molecular group if the analysis method presented in this paper is used.