A cyclic neural network control method and system suitable for extraction and concentration of traditional Chinese medicine

Abstract

This application discloses a cyclic neural network control method and system suitable for the extraction and concentration of traditional Chinese medicine. According to the large inertia, large hysteresis and strong interference characteristics of the control system of the temperature, pressure and other parameters of the extraction and concentration of traditional Chinese medicine, the improved cyclic neural network control The system replaces the artificial and traditional PID control system, which can effectively increase the extraction concentration of the active ingredients of traditional Chinese medicine liquid, improve the control effect of the product, reduce the overshoot of each important parameter, shorten the time for the parameter to reach the ideal state, and reduce interference Change the range of control parameters to realize the automatic integrated control of traditional Chinese medicine extraction and concentration production process, improve the stability of product quality in the production process of traditional Chinese medicine, and also use the cyclic neural network automatic control system liquid temperature in the process of concentration process, compared with The traditional manual adjustment method not only reduces labor consumption, but also increases the safety of the enrichment process and the quality of product production.

Description

technical field [0001] The application relates to the fields of neural network and traditional Chinese medicine extraction, in particular to a cyclic neural network control method and system suitable for the extraction and concentration of traditional Chinese medicine. Background technique [0002] In the process of traditional Chinese medicine production, extraction and concentration control system, it is actually a chemical reaction process with complex effects of pressure, temperature, liquid level, concentration, steam flow and other related parameters. Moreover, during the reaction process, it is easily affected by external factors. Affects, such as sudden changes in the pressure, temperature, flow and other factors in the reactor, will destroy the dynamic balance of the reaction. If the operation is not handled properly, it will cause shocks in the reaction process and eventually affect the quality of the liquid medicine. [0003] In the process control of traditional ...

AI Technical Summary

Problems solved by technology

[0007] In view of the complex, large inertia and large lag characteristics of the existing control methods and systems, the purpose of this application is to provide a cyclic neural network control method and system suitable for the extraction and concentration of traditional Chinese medicines, to replace traditional control methods and systems, to effectively Improve the straightness of control, reduce the overshoot of output parameters, shorten the control time for each parameter to reach a steady state, and reduce the variation range of output parameters

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