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用于中药人参品类鉴别的算法研究及硬件实现
引用本文:王萌,赵培陆,田丽媛,王莲,卢革宇.用于中药人参品类鉴别的算法研究及硬件实现[J].吉林大学学报(信息科学版),2017,35(3):235-242.
作者姓名:王萌  赵培陆  田丽媛  王莲  卢革宇
作者单位:吉林大学 电子科学与工程学院, 长春 130012
基金项目:国家自然科学基金资助项目,教育部"长江学者和创新团队发展计划"创新团队基金资助项目,国家高技术研究发展计划基金资助项目,吉林大学研究生创新基金资助项目
摘    要: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。

关 键 词:PCA  算法  智能化系统  SVM  算法  模式识别算法  人参鉴别  
收稿时间:2016-12-21

Research of Algorithm and Implementation of Hardware System forIdentification of Traditional Chinese Medicine Ginseng
WANG Meng,ZHAO Peilu,TIAN Liyuan,WANG Lian,LU Geyu.Research of Algorithm and Implementation of Hardware System forIdentification of Traditional Chinese Medicine Ginseng[J].Journal of Jilin University:Information Sci Ed,2017,35(3):235-242.
Authors:WANG Meng  ZHAO Peilu  TIAN Liyuan  WANG Lian  LU Geyu
Institution:College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
Abstract:In order to realize the identification of panax ginseng, an intelligent automa tic detection system is developed.The hardware of the system mainly includes th e driving circuit of the gas sensor array, signal collecting and conditioning ci rcuit, information processing circuit, air inlet part control circuit and extern al interface circuit.The system uses PCA (Principal Component Analysis) an d SVM (Support Vector Machine) algorithm to realize the identification of g inseng 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 accurac y in the identification of Panax ginseng.The red ginseng, white ginseng, Americ an ginseng, heterophylla, Panax notoginseng and the trichosanthin of similar sha pe and odor are used to test by the system.The experimental results show that t he 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.
Keywords:ginseng identification  the intelligent system  the pat tern recognition algorithm  principal component analysis (PCA)  support vector m achine (SVM)
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