酒类嗅觉鉴别系统的研制与试验

酒类食品的生产和消费在经济发展中占有十分重要的地位，其质量鉴别倍受社会关注。因此，准确、快速的鉴别方法及其鉴别系统(仪器)的研究是非常需要的。该文在简述酒类质量现有鉴别方法的基础上，提出了用人工嗅觉系统鉴别酒类质量时气敏传感器的选型准则和传感器阵列的组成方法。在采用一种RBF神经网络作为模式识别技术的同时，构造了一种人工嗅觉酒类鉴别系统。鉴别试验表明，该系统不仅能鉴别酒的种类，还能较好地鉴别同一种类不同质量等级的酒。由此证明了鉴别系统构造方法的合理性，并为该系统向着实用化、商品化方向发展奠定了一些技术基础。

Development and experiment of artificial olfactory system for quality identification of drinks

The production and consumption of drinks play a very important role in the economic development and the quality identification of drinks gains a great concern of the society. Therefore, it is quite necessary to develop fast and accurate methods and apparatus for the quality identification. On the basis of expounding existing methods of quality identification of drinks, this paper proposes the selecting rule of gas sensors and the constituting method of sensor array and introduces the artificial olfactory system for identifying drink quality. A new drink quality identifying system based on artificial olfactory technology is established, at the same time, a kind of RBF neural network as pattern recognition technology is adopted for the system. The experimental results show clearly that the system can be used to identify preferably both drink classes and quality grades of the same kind drink. Meanwhile, the reasonability and feasibility of constituting method of the system are proved, and some technological foundation has been laid for the system to be adopted for further commercial utilization.