电子鼻分析方法在白酒分类识别中的应用
Application Research of the Electronic Nose Analysis in Liquor Classification and Recognition
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摘要: 利用酒精气体及有机物交叉敏感的4个金属氧化物半导体传感器组成气体传感器阵列,建立了实时数据采集系统,提出了稳态及动态特征值提取的方法,并结合主成分分析法(PCA),用所建立的电子鼻系统对3种白酒进行了分类识别实验.结果表明:它对不同品牌白酒的稳态特征识别率达90.0%,动态特征识别率达86.6%Abstract: Based on the sensors array made up of four metal oxide semiconductor sensors which are cross sensitive to alcohol gas and organic, the realtime data acquisition was established in this paper, and the method of the steady and dynamic characteristic value extraction was proposed. Combined with principal component analysis(PCA), three kinds of liquor were conducted classification experiments by the electronic nose system. The results show that the recognition rate of electronic nose system is up to 90.0% under the steady characteristic and 86.6% under the dynamic characteristic for the different brands of liquor.