Neural network prediction and control method for water turbidity in medicine automatic cleaning process of traditional Chinese medicine decoction pieces

A technology for automatic cleaning and Chinese herbal decoction pieces, which is applied in adaptive control, cleaning methods and utensils, cleaning methods using liquids, etc., and can solve problems such as waste of resources, cleaning quality, optimization of actual conditions, and uncontrollability.

Active Publication Date: 2019-04-02
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0003] In order to overcome the shortcomings of existing cleaning equipment for Chinese herbal medicines in decoction pieces of traditional Chinese medicine that cannot automatically optimize water pressure according to actual conditions, waste of resources and uncontrollable cleaning quality, the present invention provides an automatic cleaning process of Chinese herbal medicines in decoction pieces of Chinese medicine with intuitive understanding, simple design and easy implementation Water Turbidity Neural Network Predictive Control Method

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  • Neural network prediction and control method for water turbidity in medicine automatic cleaning process of traditional Chinese medicine decoction pieces
  • Neural network prediction and control method for water turbidity in medicine automatic cleaning process of traditional Chinese medicine decoction pieces
  • Neural network prediction and control method for water turbidity in medicine automatic cleaning process of traditional Chinese medicine decoction pieces

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] refer to Figure 1 ~ Figure 4 , a method for predicting and controlling water turbidity neural network in the automatic cleaning process of Chinese herbal medicine pieces, said method comprising the steps of:

[0058] 1) Record the value of the turbidity of the overflow water in the cleaning pool and the water pressure of the cleaning water pump during the automatic cleaning process of the Chinese herbal medicine decoction pieces;

[0059] 2), establish a neural network prediction model, using a two-layer Levenberg-Marquardt (Levenberg–Marquardt) neural network model, see formula (1):

[0060]

[0061] Among them, the time variable k represents the current moment, x(k), x(k+1), ..., x(k+p) are the input of the neural network prediction model at the kth, k+1, ..., k+p time respectively Vector, the control quantities u(k-1), u(k-2),..., u(k-m) are the actual ...

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Abstract

The invention provides a neural network prediction and control method for the water turbidity in the medicine automatic cleaning process of traditional Chinese medicine decoction pieces. For the problem that the water pressure in the medicine automatic cleaning process of the traditional Chinese medicine decoction pieces cannot be adjusted according to the actual amount of the cleaning medicine and the amount of sand, a Levenberg-Marquardt algorithm is used to train a neural network prediction model of turbidity of the overflowing water and the water pressure of the cleaning pump in the medicine automatic cleaning process of the traditional Chinese medicine decoction pieces. A cumulative function of a water turbidity tracking deviation and the water pressure change amount of the pump overa period of time in the future is minimized by a differential evolution algorithm. The water pressure of the pump in the medicine automatic cleaning process of the traditional Chinese medicine decoction pieces is calculated in real-time. The optimization and automatic control of a water turbidity tracking set value in the in the medicine automatic cleaning process of the traditional Chinese medicine decoction pieces is realized. The invention provides the neural network prediction and control method for the water turbidity in the medicine automatic cleaning process of the traditional Chinese medicine decoction pieces which is intuitive in understanding, simple in design, and prone to implement.

Description

technical field [0001] The invention belongs to the field of automatic control of the production process of decoction pieces of traditional Chinese medicine, and relates to a neural network predictive control method for water turbidity in the process of automatic cleaning of Chinese medicinal materials in decoction pieces of traditional Chinese medicine. Background technique [0002] Chinese herbal decoction pieces are traditional Chinese medicines that can be directly used in TCM clinics after being processed according to the theory of traditional Chinese medicine and traditional Chinese medicine processing methods. Compared with taking western medicine, the side effects in the human body are smaller. Chinese herbal decoction pieces are effective in treating chronic diseases, immune diseases and It has unique curative effects in health care, longevity and other aspects. Due to the different varieties and origins of traditional Chinese medicines, their shapes and surface cha...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04B08B3/02
CPCG05B13/042B08B3/02
Inventor 何德峰周龙俞立宋秀兰仇翔朱俊威杨永祥
Owner ZHEJIANG UNIV OF TECH
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