CN-121995889-A - Process optimization method, extraction method, device and medium for realizing extraction of traditional Chinese medicine components

CN121995889ACN 121995889 ACN121995889 ACN 121995889ACN-121995889-A

Abstract

The invention discloses a process optimization method, a traditional Chinese medicine component extraction method, a device and a medium for realizing traditional Chinese medicine component extraction, wherein a continuous process parameter space is constructed according to characteristic data of traditional Chinese medicine raw materials, a process track function is established based on the continuous process parameter space, an ant colony individual is subjected to simulated extraction according to track control node parameters corresponding to the ant colony individual to generate multi-target fitness values corresponding to the ant colony individual, iterative search is carried out on the track control node parameters in the continuous process parameter space according to the multi-target fitness values of the ant colony individual, and a target track control node parameter set is output. Therefore, the method and the device have the advantages of dynamically adapting to the characteristic change of the traditional Chinese medicine raw materials, realizing multi-objective collaborative optimization and improving the extraction efficiency and the product quality stability by constructing a continuous process parameter space and utilizing an ant colony algorithm to perform iterative search and dynamically optimizing the track control node parameters, thereby effectively solving the problem that the traditional process cannot adapt to the raw material variation.

Inventors

JIAO YING
Jiao Jiashu
HE JINGXIAN
HE SHIYI

Assignees

山西元华科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260212

Claims (10)

1. A process optimization method for achieving extraction of traditional Chinese medicine components, the method comprising: Constructing a continuous process parameter space according to the characteristic data of the traditional Chinese medicine raw materials; establishing a process trajectory function based on the continuous process parameter space; Performing simulated extraction on an ant colony individual according to a track control node parameter corresponding to the ant colony individual to generate a multi-target fitness value corresponding to the ant colony individual; And carrying out iterative search on the track control node parameters in the continuous process parameter space according to the multi-target fitness value of the ant colony individual, and outputting a target track control node parameter set.
2. The process optimization method according to claim 1, wherein the constructing a continuous process parameter space from the characteristic data of the raw materials of the Chinese medicine comprises: Collecting characteristic data of traditional Chinese medicine raw materials; According to the collected characteristic data of the traditional Chinese medicine raw materials, determining the solid-liquid ratio of the traditional Chinese medicine raw materials; reading capability boundary parameters of extraction equipment to form an equipment capability boundary set; Under the constraint of the equipment capability boundary set, combining the characteristic vector of the traditional Chinese medicine raw materials and the obtained solid-liquid ratio to construct a continuous process parameter space.
3. The process optimization method according to claim 1, wherein the performing simulated extraction on the ant colony individual according to the trajectory control node parameter corresponding to the ant colony individual to generate the multi-objective fitness value corresponding to the ant colony individual includes: Reading track control node parameters corresponding to ant colony individuals to form a set of track control node parameters; generating a process track of the ant colony individual in an extraction time range according to the formed track control node parameter set; And taking the generated process track of the ant colony individual as an input boundary condition, and performing simulated extraction on the ant colony individual in a model simulation environment to generate a multi-target fitness value corresponding to the ant colony individual.
4. The process optimization method according to claim 1, wherein performing iterative search on the trajectory control node parameters in the continuous process parameter space according to the multi-target fitness value of the ant colony individual, outputting a target trajectory control node parameter set, comprises: updating the pheromone matrix according to the multi-target fitness value of the ant colony individual to obtain an updated pheromone matrix; And carrying out iterative search on the track control node parameters in the continuous process parameter space by utilizing the updated pheromone matrix, and outputting a target track control node parameter set meeting a convergence condition.
5. The process optimization method according to claim 4, wherein updating the pheromone matrix according to the multi-objective fitness value of the ant colony individual to obtain an updated pheromone matrix comprises: According to the multi-target fitness value of the ant colony individual, establishing a mapping relation between an pheromone matrix and control node parameters; Determining the deposition amount of the pheromone corresponding to the control node parameters based on the established mapping relation between the pheromone matrix and the control node parameters; Carrying out pheromone volatilization treatment on the pheromone matrix; and updating the pheromone matrix after the pheromone volatilization treatment according to the determined pheromone deposition amount, and obtaining the updated pheromone matrix.
6. The process optimization method according to claim 4, wherein the iteratively searching the trajectory control node parameters in the continuous process parameter space using the updated pheromone matrix, and outputting a set of target trajectory control node parameters satisfying a convergence condition, comprises: establishing a transfer selection rule based on the updated pheromone matrix; According to the established transfer selection rule, carrying out iterative search on the track control node parameters in the continuous process parameter space; performing convergence condition judgment in the iterative search process; and outputting the target track control node parameter set when the convergence condition is judged to be met.
7. A method for extracting traditional Chinese medicine components, which is characterized by comprising the following steps: Converting a track control node parameter set into a control instruction set for extracting traditional Chinese medicine components, wherein the track control node parameter set is obtained by outputting the process optimization method for realizing traditional Chinese medicine component extraction according to any one of claims 1-6; collecting extraction conditions corresponding to traditional Chinese medicine raw materials for component extraction; And executing the control instruction set according to the extraction conditions, and extracting to obtain a target component.
8. A process optimization device for achieving extraction of a chinese herbal medicine ingredient, the device comprising: the space construction module is used for constructing a continuous process parameter space according to the characteristic data of the traditional Chinese medicine raw materials; the function building module is used for building a process track function based on the continuous process parameter space; The simulation extraction module is used for performing simulation extraction on the ant colony individuals according to the track control node parameters corresponding to the ant colony individuals to generate multi-target fitness values corresponding to the ant colony individuals; And the iterative search module is used for carrying out iterative search on the track control node parameters in the continuous process parameter space according to the multi-target fitness value of the ant colony individuals and outputting a target track control node parameter set.
9. A device for extracting a component of a chinese herb medicine, the device comprising: The conversion module is used for converting a track control node parameter set into a control instruction set for extracting traditional Chinese medicine components, wherein the track control node parameter set is obtained by outputting the process optimization device for realizing traditional Chinese medicine component extraction according to claim 8; the acquisition module is used for acquiring extraction conditions corresponding to the traditional Chinese medicine raw materials for component extraction; and the component extraction module is used for executing the control instruction set according to the extraction conditions to extract the target components.
10. A computer storage medium storing computer executable instructions which, when invoked or executed by a processor, cause the processor to implement the method of any one of claims 1 to 7.

Description

Process optimization method, extraction method, device and medium for realizing extraction of traditional Chinese medicine components Technical Field The invention relates to the technical field of traditional Chinese medicine pharmacy, in particular to a process optimization method for realizing extraction of traditional Chinese medicine components, a traditional Chinese medicine component extraction method, a traditional Chinese medicine component extraction device and a computer readable storage medium. Background Traditional Chinese medicine is used as an important component of the traditional medicine system, and faces a plurality of technical bottlenecks in the modern production process. The traditional Chinese medicine extraction process generally adopts preset fixed process parameters, such as uniform temperature control, solvent concentration ratio and stirring rotation speed setting, and the operation mode of 'one-step cutting' cannot fully consider the inherent natural variation characteristic of the Chinese medicinal materials. Because of the significant differences of the planting regions, the growth period, the harvesting time and the storage conditions of the traditional Chinese medicinal materials, the raw materials of different batches show high inconsistency in the aspects of water content, cellulose structure distribution, tissue density, initial concentration of target active ingredients and the like. The extraction mode with fixed parameters cannot be dynamically adapted to the characteristic change of raw materials, so that the extraction efficiency of target components is severely fluctuated, the stability of product quality among batches is poor, and the strict standard requirements of modern medicine production on purity, yield and safety are difficult to achieve. Meanwhile, the existing process optimization means mainly depend on subjective experience judgment of operators or off-line experimental design methods, such as response surface analysis or orthogonal test schemes based on statistics, and a large number of physical experiments are needed to be repeatedly carried out to determine parameter combinations, so that the process optimization means is long in period and high in resource consumption, and dynamic fluctuation of raw material characteristics cannot be perceived in real time and timely adjusted in the production process. Although the traditional automatic control system can execute a preset program, an intelligent decision mechanism for multi-objective coordination (such as maximizing the yield of objective components, minimizing the impurity leaching amount and reducing the energy consumption) and multi-constraint conditions (such as equipment capacity boundary and raw material characteristic limitation) in a traditional Chinese medicine complex extraction system is lacking. In actual production, in order to pursue high yield index on one side, purity control is always forced to be sacrificed or energy consumption investment is increased, so that the problems of impurity content increase, subsequent purification cost increase, energy waste and the like are caused, and the process parameters are difficult to realize dynamic balance among multiple targets. In addition, the process parameters are adjusted by excessively relying on manual intervention and experience accumulation, and when the conditions such as sudden change of raw materials or abnormal operation of equipment are faced, the system response is delayed, the self-adaptive adjustment and the fine control of the production process can not be realized, and the intelligent upgrading and standardization process of the traditional Chinese medicine production is severely restricted. Disclosure of Invention In order to overcome the defects of the prior art and solve the problems in the prior art, the invention provides a process optimization method, an extraction method, a process optimization device, an extraction device and a computer storage medium for realizing extraction of traditional Chinese medicine components, which have the advantages of dynamically adapting to the characteristic change of traditional Chinese medicine raw materials, realizing multi-objective collaborative optimization and improving extraction efficiency and product quality stability. In a first aspect, an embodiment of the present invention provides a process optimization method for implementing extraction of traditional Chinese medicine components, where the method includes constructing a continuous process parameter space according to characteristic data of traditional Chinese medicine raw materials, establishing a process track function based on the continuous process parameter space, performing simulated extraction on an ant colony individual according to track control node parameters corresponding to the ant colony individual to generate multi-target fitness values corresponding to the ant colony individual, performing iterative searc