节点文献
用于中药人参品类鉴别的算法研究及硬件实现
Research of Algorithm and Implementation of Hardware System for Identification of Traditional Chinese Medicine Ginseng
【摘要】 为提高人参品类的鉴别效果,研制了一套智能化自动检测系统。该系统硬件主要包括气体传感器阵列的驱动电路、信号调理和数据采集电路、信息处理单元电路、进气部分电路控制电路、外部接口电路。该系统使用主成分分析(PCA:Principal Component Analysis)与支持向量机(SVM:Support Vector Machine)相结合的算法实现对人参品类的鉴别,同时利用PID(Proportion Integral Differential)算法实现对气室温度的智能控制,提高了气体传感器的稳定性和精确度。使用该系统对红参、白参、西洋参、太子参、三七(小人参)以及外形与气味相似的天花粉进行了多组测试。实验结果表明,该系统对人参品类的鉴别具有较高的准确度,并且操作简单、成本低廉,具有良好的应用前景。
【Abstract】 In order to realize the identification of panax ginseng,an intelligent automatic detection system is developed. The hardware of the system mainly includes the driving circuit of the gas sensor array,signal collecting and conditioning circuit,information processing circuit,air inlet part control circuit and external interface circuit. The system uses PCA( Principal Component Analysis) and SVM( Support Vector Machine)algorithm to realize the identification of ginseng category. The intelligent control of the temperature of the gas chamber is realized by PID( Proportion Integral Differential) algorithm. And the stability and Accuracy of the gas sensor is improved. The results showed that the system had high accuracy in the identification of Panax ginseng. The red ginseng, white ginseng, American ginseng, heterophylla, Panax notoginseng and the trichosanthin of similar shape and odor are used to test by the system. The experimental results show that the system has a high accuracy in the identification of ginseng,and it is simple in operation and the cost is low,and has good application prospect.
【Key words】 ginseng identification; the intelligent system; the pattern recognition algorithm; principal component analysis(PCA); support vector machine(SVM);
- 【文献出处】 吉林大学学报(信息科学版) ,Journal of Jilin University(Information Science Edition) , 编辑部邮箱 ,2017年03期
- 【分类号】TP212.9;TP274
- 【被引频次】5
- 【下载频次】119