基于中红外光谱技术的非接触式气体识别电子鼻系统

为了对混合气体进行非接触式识别,基于可调谐二极管激光吸收光谱与波长调制光谱(TDLAS—WMS)技术,采用激射波长为中红外的可调谐分布反馈式量子级联激光器(DFB—QCL),设计并研制了可对被测混合气体进行实时、非接触识别的电子鼻系统。该系统采用主成分分析(PCA)和反向传播(BP)混合神经网络模式,通过LabVIEW对气体"指纹信息"数据库进行分析。实验结果表明:该系统可以区分成分为一氧化碳(CO)、甲烷(CH4)、二氧化氮(NO2)和乙烯(C2H4)的混合气体,为混合气体非接触式识别提供了一种便利方法。

Non-contact electronic nose system for gas identification based on mid-infrared spectrum technology

In order to indentify mixed gas without contact, utilize tunable distributed feedback quantum cascade laser（DFB-QCL） with emitting wavelength in mid-infrared,an electrical nose is designed and developed based on tunable diode laser absorption spectroscopy and wavelength modulation spectroscopy（TDLAS-WMS）technology to real time indentify hybrid gases without contact. The system uses hybrid neural network, mode such as principal component analysis （PCA） and back propagation （ BP）, gas＂ fingerprint＂ database are analyzed by LabVIEW. The experimental resuhs show that the proposed system can distinguish hybrid gases with carbon monoxide （ CO）, methane（ CI-I4 ）, nitrogen dioxide （NO2 ）and ethylene （C2H4）, which provide a convenient method to indentify hybrid gas without contact.