基于人工嗅觉的粮食霉变识别方法的研究

Identification of moldy foodstuff based on artificial olfactory system

发霉的粮食含有对人、畜有危害的霉菌毒素,为了对粮食是否发霉提供一种简单客观的判别方法,研制了一套人工嗅觉系统。该系统主要由气体传感器阵列、气路系统、信号调理电路、数据采集系统及模式识别软件组成。为了提高识别的准确率,利用采集数据中最大响应点及其左右各相隔一定时间的两个点作为3个特征值,并采用3层优化BP神经网络对样本特征值进行训练。经测试,训练样品的回判准确率和测试样品的准确率均为100%,说明该人工嗅觉系统是准确、有效的。

Moldy foodstuff with mildew toxin are harmful to people and animals. To provide a simple and objective solution to identify whether foodstuff are moldy, an artificial olfactory system which consists of gas sensor array, gas tube system, signal adjusting system, data collecting system and pattern recognition system was designed. In order to improve veracity of identification, three eigenvalues were used in collecting data, one is the maximal response point, and the other two are the left and the right point at some distances of the maximal response point and the sample eigenvalues were trained with the triplex-optimized BP Neural Network. After testing, the trained samples and the tested samples can both be identified correctly, which indicates that the artificial olfactory system is veracious and effective.