【摘要】 针对中药提取过程中软测量建模的计算机在线实现问题,将遗传算法(GA)和支持向量机(SVM)相结合,对葛根素在线提取过程进行软测量建模,并将该软测量模型固化到基于树莓派的嵌入式系统,构建了葛根素提取率的在线检测系统。该系统实现了下位机的在线实时温度数据采集、提取率计算、数据发送和结果三维显示,能完成上位机软件的软测量模型更新、数据存储、历史数据显示、数据包解析和三维坐标系显示提取效果等功能。与紫外分光光度计的离线检测方法相比较,本文方法得到平均相对误差为4.33%,具有实时性好、测量精度高、操作简便等优点。更多还原

【Abstract】 A genetic algorithm(GA) and a support vector machine( SVM) have been combined to build a model of puerarin extraction in order to achieve on-line realization of the soft measurement modeling of Chinese medicine extraction. By combining a soft-measurement model and the embedded system of a Raspberry Pi,an on-line measurement system for the puerarin extraction ratio has successfully been established. The system comprises the functions of temperature data acquisition,extraction ratio calculation,data transmission and real-time three-dimensional display of the extraction result in the slave computer,with the functions of soft measurement model update,data storage,historical data display,packet analysis and three-dimensional coordinate system display of the extraction result in the host computer. An on-line measurement system of the puerarin extraction ratio has thus been implemented. Compared with a UV spectrophotometer off-line detection method,our method gives an average relative error of 4. 33%. Furthermore,our method has the advantages of good real-time characteristics,simple operation,and high precision.更多还原