abstract |
The present application discloses a cyclic neural network control method and system suitable for the extraction and concentration of traditional Chinese medicine. The system replaces the manual and traditional PID control system, which can effectively increase the extraction concentration of the effective components of the traditional Chinese medicine liquid, improve the control effect of the product, reduce the overshoot of each important parameter, shorten the time for the parameters to reach the ideal state, and reduce interference. Change the variation range of control parameters, realize the automatic integrated control of the production process of Chinese medicine extraction and concentration, improve the stability of product quality in the production process of traditional Chinese medicine, and also use the cyclic neural network to automatically control the temperature of the liquid medicine in the concentration process. The traditional manual adjustment method not only reduces the consumption of labor, but also increases the safety of the concentration link and the quality of product production. |