High-efficiency extraction liquid separation and purification method for plant hollow capsules

Abstract

The present application provides an efficient extraction liquid separation and purification method for plant hollow capsules, which relates to the field of separation and purification technology. The method includes: performing reaction characteristic analysis on the extraction raw materials and the target extraction liquid to determine the raw material reaction constraints and the target extraction liquid reaction requirements; constructing a separation and purification technology feature configuration table; performing separation and purification reaction feature matching on the raw material reaction constraints and the target extraction liquid reaction requirements to determine the separation and purification matching relationship; when the separation and purification matching relationship is not unique, screening is performed based on the separation and purification matching relationship with the reaction time as the target value to obtain the target separation and purification information; performing process parameter decomposition based on the separation and purification means and feature matching relationship of the target separation and purification information to generate control instructions. This application can solve the technical problems in the prior art due to the poor separation and purification effect, and achieve the technical effect of ensuring the efficiency and accuracy of separation and purification.

Description

Technical Field

[0001] The present application relates to the technical field of separation and purification, and in particular to a method for separating and purifying an efficient extract for plant hollow capsules. Background Art

[0002] Extract separation and purification refers to the extraction of active ingredients or components from plant raw materials, and obtaining high-purity, high-quality extracts through separation and purification steps.

[0003] At present, due to the different physical and chemical properties of different raw materials and extracts, the influence on reaction conditions and extraction purity is different. In the existing extract separation and purification method process, most of them only utilize a single index to screen the reaction conditions. If only relying on reaction time as a screening criterion may lead to neglect of the reaction effect, different separation and purification methods may differ in reaction time. If only the shortest reaction time is pursued, the extraction accuracy of effect indicators may be low, such as the purity and activity of the extract. It also leads to improper selection of raw material reaction conditions, and more raw materials, solvents or time may be required to complete the separation and purification process, thereby increasing resource waste. Therefore, a method for solving the above problems is now needed.

[0004] In summary, the existing technology has technical problems in that most of the reaction conditions are obtained by only a single characteristic, which may make it difficult to obtain the main reaction conditions for separation and purification, resulting in poor reaction effect, and may also cause waste of resources, further affecting the separation and purification effect. Summary of the Invention

[0005] The purpose of this application is to provide an efficient method for separating and purifying extracts of plant hollow capsules, so as to solve the technical problems in the prior art that since most reaction conditions are obtained only through a single characteristic, it may be difficult to obtain the main reaction conditions for separation and purification, resulting in poor reaction effect, and may also cause waste of resources, further affecting the separation and purification effect.

[0006] In view of the above problems, the present application provides a method for separating and purifying an efficient extract for plant hollow capsules.

[0007] The present application provides an efficient extraction liquid separation and purification method for plant hollow capsules, wherein the method includes: obtaining an extraction raw material and a target extraction liquid, performing reaction characteristic analysis on the extraction raw material and the target extraction liquid, and determining the raw material reaction constraints and the target extraction liquid reaction requirements; constructing a separation and purification technology feature configuration table, which includes a variety of separation and purification means and their separation and purification reaction characteristics; using the separation and purification technology feature configuration table to perform separation and purification reaction feature matching on the raw material reaction constraints and the target extraction liquid reaction requirements, and determine a separation and purification matching relationship, including a separation and purification means and a feature matching relationship; when the separation and purification matching relationship is not unique, screening is performed based on the separation and purification matching relationship with the reaction time as the target value to obtain target separation and purification information; decomposing process parameters based on the separation and purification means and the feature matching relationship of the target separation and purification information, and generating control instructions, wherein the control instructions are used to perform separation and purification control according to the process parameters corresponding to the separation and purification means.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] By obtaining extraction raw materials and target extracts, reaction characteristics of the extraction raw materials and target extracts are analyzed to determine raw material reaction constraints and target extract reaction requirements; a separation and purification technology feature configuration table is constructed, which includes a variety of separation and purification means and their separation and purification reaction characteristics; the separation and purification technology feature configuration table is used to match the raw material reaction constraints and target extract reaction requirements with separation and purification reaction characteristics to determine a separation and purification matching relationship, including separation and purification means and feature matching relationship; when the separation and purification matching relationship is not unique, the separation and purification matching relationship is used to filter with reaction time as the target value to obtain target separation and purification information; the process parameters are decomposed according to the separation and purification means and feature matching relationship of the target separation and purification information, and control instructions are generated. The control instructions are used to perform separation and purification control according to the process parameters corresponding to the separation and purification means, thereby achieving the technical goal of obtaining the most suitable separation and purification method and reaction conditions, and achieving the technical effect of ensuring the efficiency and accuracy of separation and purification.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0012] Figure 1 This is a schematic diagram of the process of separating and purifying the efficient extract of plant hollow capsules used in this application;

[0013] Figure 2 This is a flow chart for constructing a separation and purification technology feature configuration table in the efficient extraction liquid separation and purification method for plant hollow capsules in this application. DETAILED DESCRIPTION

[0014] This application provides a highly efficient method for separating and purifying extracts from hollow plant capsules. This method addresses the technical problem in the prior art of obtaining the primary reaction conditions for separation and purification, which often relies solely on a single characteristic. This can lead to poor reaction results, waste of resources, and further compromised separation and purification effectiveness. The method achieves the technical goal of obtaining the most suitable separation and purification method and reaction conditions, ensuring both high efficiency and accuracy in separation and purification.

[0015] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0016] Example 1

[0017] Please see the attached Figure 1 The present application provides a method for separating and purifying an efficient extract of a plant hollow capsule, the method specifically comprising the following steps:

[0018] Step 1: Obtaining extraction raw materials and target extracts, analyzing the reaction characteristics of the extraction raw materials and target extracts, and determining the reaction constraints of the raw materials and the reaction requirements of the target extracts;

[0019] Specifically, information about the raw materials for extraction is collected. The reaction changes that occur during the reaction are analyzed to determine the reaction constraints for the raw materials, i.e., the parameters that must be met for the raw materials to fully react. The target extract is analyzed to determine the reaction requirements for the target extract, i.e., the parameters required to achieve the desired reaction through the reaction of the raw materials.

[0020] Step 2: Construct a separation and purification technology feature configuration table, which includes a variety of separation and purification methods and their separation and purification reaction characteristics;

[0021] Specifically, a separation and purification technology feature configuration table was constructed, using various separation and purification methods as configuration indicators and their respective separation and purification reaction characteristics as parameters corresponding to the configuration indicators. Separation and purification reaction characteristics refer to the reaction effects of a separation and purification method under specific conditions.

[0022] Step 3: Using the separation and purification technology feature configuration table, matching the raw material reaction constraints and the target extract reaction requirements with the separation and purification reaction features to determine a separation and purification matching relationship, including separation and purification means and feature matching relationships;

[0023] Specifically, the separation and purification technology feature configuration table is used to match the raw material reaction constraints and target extract reaction requirements with the separation and purification reaction characteristics of various separation and purification means, and the corresponding reaction effects are screened to determine the separation and purification matching relationship, including the selected separation and purification means and the specific control parameters and operating conditions that need to be adopted for the separation and purification means.

[0024] Step 4: When the separation and purification matching relationship is not unique, screening is performed based on the separation and purification matching relationship with reaction time as the target value to obtain target separation and purification information;

[0025] Specifically, when a separation and purification match is not unique, multiple separation and purification methods exist that meet the reaction requirements for extracting the raw material and the target extract. When faced with multiple possible separation and purification matches, reaction time is used as a screening criterion. Separation and purification methods with shorter reaction times indicate higher production efficiency. By comparing the expected reaction times of different matching relationships, the method with the shortest reaction time is selected as the target separation and purification information.

[0026] Step 5: Decompose process parameters according to the separation and purification means and feature matching relationship of the target separation and purification information, and generate control instructions. The control instructions are used to perform separation and purification control according to the process parameters corresponding to the separation and purification means.

[0027] Specifically, after determining the target separation and purification information, process parameter decomposition is performed based on the separation and purification methods and feature matching relationships within the target separation and purification information. This involves breaking down the complex separation and purification process into specific operational steps and determining corresponding control parameters for each step. Based on the process parameter decomposition results, control instructions are generated to guide the operation of the separation and purification equipment, ensuring precise control according to the process parameters corresponding to the separation and purification methods.

[0028] The high-efficiency extraction liquid separation and purification method for plant hollow capsules can achieve the technical goal of obtaining the most suitable separation and purification method and reaction conditions, and achieve the technical effect of ensuring the high efficiency and accuracy of separation and purification.

[0029] Furthermore, the present application further comprises the following steps:

[0030] Establishing a reaction process for generating the extraction raw material and the target extract;

[0031] Using historical sample data, perform an impact analysis on the generation reaction process to determine the impact of each reaction process and the corresponding reaction parameters;

[0032] Taking the reaction sufficiency of the extracted raw materials as the goal, screening the influence of each reaction process, and determining the raw material reaction constraint conditions, wherein the raw material reaction constraint conditions are reaction parameters that affect the reaction sufficiency of the raw materials to reach a preset influence degree;

[0033] Taking the extraction effect of the target extract as the target, the influence of each reaction process is screened to determine the reaction requirements of the target extract. The reaction requirements of the target extract are reaction parameters that have a preset influence on the extraction effect.

[0034] Specifically, if Figure 2 As shown, the chemical reaction or biotransformation process between the extraction raw material and the target extract is clearly defined. This involves determining the composition of the raw material, the components of the target extract, and the possible reactions or transformations that may occur. Establishing the generation reaction process involves determining reaction conditions, reactant ratios, catalyst type, and dosage. Reaction conditions include temperature, pressure, and pH.

[0035] Then, using historical sample data, we analyze the impact of each reaction process on the final extraction effect, quantify the impact, and determine the impact of each reaction process and the corresponding reaction parameters.

[0036] Next, with the goal of achieving sufficient reaction of the extracted raw materials, i.e., sufficient reaction of the extracted raw materials, reaction parameters are screened to obtain sufficient reaction, and the influence of the reaction process corresponding to the reaction parameters is determined, and this is determined as the raw material reaction constraint. If the influence of the reaction process corresponding to the reaction parameters in the raw material reaction constraint reaches a preset influence, the reaction parameters at this time are used as the raw material reaction constraint. The preset influence is the expected reaction result customized by those skilled in the art based on actual conditions.

[0037] Next, with the target extract achieving the extraction effect as the goal, the influence of the reaction parameters to achieve the extraction effect is screened and determined as the target extract reaction requirement. Among them, the influence of the target reaction process in the target extract reaction requirement reaches the preset influence.

[0038] By analyzing and optimizing the generation reaction process between the extraction raw materials and the target extract, the reaction parameters and conditions are determined, thereby improving the extraction efficiency and product quality.

[0039] Furthermore, the present application further comprises the following steps:

[0040] Establishing a clustering parameter combination according to the reaction process and reaction parameters, clustering the historical sample data, and constructing a cluster sample cluster;

[0041] The reaction parameters are used as independent variables, and the reaction sufficiency of the extracted raw materials and the extraction effect of the target extract are used as dependent variables. The influence of the reaction parameters on each reaction process is obtained by fitting through clustering sample clusters.

[0042] Specifically, a clustering parameter combination is established based on the reaction process and reaction parameters. The clustering parameter combination is used to cluster the historical sample data. The historical sample data is grouped based on data similarity to form clustered sample clusters. The clustered samples within each cluster have similar characteristics in terms of clustering parameters.

[0043] Next, the influence of each reaction parameter on the reaction process is determined, using the reaction parameters as independent variables and the reaction sufficiency of the extracted raw material and the extraction efficiency of the target extract as dependent variables. By clustering the sample clusters, a mathematical model is established to establish the relationship between the reaction parameters, reaction sufficiency, and extraction efficiency of the target extract. For example, regression analysis, decision trees, random forests, and other methods can be used to fit the relationship to determine the influence of the reaction parameters on reaction sufficiency and extraction efficiency.

[0044] By analyzing the influence of reaction parameters on the reaction process and extraction effect, strong support is provided for optimizing reaction conditions and improving extraction efficiency.

[0045] Furthermore, the present application further comprises the following steps:

[0046] Performing sample distribution uniformity, sample change step size, clustering dispersion, and clustering aggregation analysis on the clustered sample clusters;

[0047] Evaluate the generalization ability of the sample according to the sample distribution uniformity and the sample change step size to obtain a first evaluation coefficient;

[0048] Performing sample clustering reliability evaluation based on the cluster dispersion and cluster aggregation degree to obtain a second evaluation coefficient;

[0049] Calculate the mean of the first evaluation coefficient and the second evaluation coefficient, and configure the adjustment coefficient of the cluster;

[0050] The influence of each reaction process is adjusted using the adjustment coefficient.

[0051] Specifically, the distribution of cluster samples within each cluster is analyzed to determine whether the cluster samples are evenly distributed across the cluster, and the representativeness of the cluster samples within the cluster is evaluated. The step size of the change in the reaction parameter of the cluster samples within the cluster sample cluster is calculated, that is, the parameter difference between adjacent samples. The degree of dispersion between different cluster sample clusters is evaluated, that is, the degree of differentiation between cluster sample clusters. The degree of aggregation of cluster samples within the cluster sample cluster is analyzed, that is, the similarity and closeness of cluster samples within the cluster sample cluster.

[0052] Then, according to the following display formula: ,

[0053] in, is the first evaluation coefficient, is the weight of sample distribution uniformity, n is the number of clustered sample clusters, represents the number of clustering sample parameters of the i-th cluster sample cluster, q is the average number of clustering sample parameters of the cluster sample cluster, is the weight of the sample change step term, is the sample change step of the i-th cluster sample cluster. and The sum is 1. Further, the number of clustering samples of each clustering sample cluster and the average number of parameters of multiple clustering sample clusters are calculated, and the difference between the number of parameters and the average number of parameters is calculated, the difference is ratioed with the average number of parameters, the ratio calculation results corresponding to each clustering sample cluster are summed up, and the inverse of the number of clustering sample clusters is multiplied by the summed calculation result to obtain the sample distribution uniformity term. Further, the inverse of the sample change step of each clustering sample cluster is calculated, multiple inverses are summed up, and the summed result is multiplied by the inverse of the number of clustering sample clusters to obtain the sample change step term. According to the weight of the sample distribution uniformity term and the weight of the sample change step term, the product is calculated with the sample distribution uniformity term and the sample change step term respectively to obtain the first evaluation coefficient. Among them, the weight of the sample distribution uniformity term and the weight of the sample change step term are obtained by customized settings by those skilled in the art according to actual conditions.

[0054] Next, the silhouette coefficient is used to evaluate the quality of clustering results. It describes the clarity of the outlines of each cluster after clustering. The silhouette coefficient is evaluated by combining the analysis results of cluster dispersion and cluster aggregation to obtain the reliability of the sample clustering, which serves as the second evaluation coefficient.

[0055] Next, the first evaluation coefficient and the second evaluation coefficient are averaged to obtain the cluster adjustment coefficient.

[0056] Then, the influence of each reaction process is adjusted using the adjustment coefficient, which helps to optimize the analysis results of the influence according to the characteristics of the cluster.

[0057] By performing a series of analyses and evaluations on clustered samples, we can more accurately understand the characteristics of the clusters and optimize the impact analysis results accordingly. This helps improve the accuracy and effectiveness of subsequent reaction process optimization and extraction enhancement. This approach has broad application value in fields such as data analysis, machine learning, and chemical engineering.

[0058] Furthermore, the present application further comprises the following steps:

[0059] Obtain process flow and control parameters of various separation and purification methods and build simulation space;

[0060] Based on the simulation space, the separation and purification effects of the control parameters of each process flow are obtained, and the reaction characteristics of the separation and purification process are quantified according to the separation and purification effects to determine the separation and purification reaction characteristics;

[0061] Obtaining adjustment thresholds of control parameters of each process flow, establishing a mapping relationship between the control parameters and the separation and purification reaction characteristics, and fitting the adjustment thresholds to the mapping relationship;

[0062] Establish the corresponding relationship between the process flow, control parameters, adjustment thresholds, separation and purification reaction characteristics, and separation and purification effects of the various separation and purification means, and construct the separation and purification technology feature configuration table.

[0063] Specifically, the process flows and control parameters for various separation and purification methods are collected. These methods may include extraction, distillation, chromatography, and other separation methods. Control parameters refer to factors that influence the effectiveness of separation and purification, such as temperature, pressure, flow rate, and solvent type. Using the collected process flows and control parameters, computer simulations or experimental methods are used to simulate the operating conditions of various separation and purification processes. A simulation space is then constructed to test the effectiveness of separation and purification under different parameter combinations.

[0064] Then, within the simulation space, by adjusting the control parameters of each process flow, changes in the separation and purification performance are observed and recorded. Separation and purification effectiveness can be measured using a variety of metrics, such as purity, recovery rate, and separation speed. Based on these multiple performance data points, the reaction characteristics of the separation and purification process are quantified. Through statistical analysis and modeling of the data, the separation and purification process can be simplified into quantifiable characteristics.

[0065] Next, the adjustment thresholds for the control parameters of each process flow are obtained. The adjustment threshold refers to the critical value at which the control parameter will not significantly affect the separation and purification effect when it changes within a certain range. A mapping relationship between the control parameters and the separation and purification reaction characteristics is established to determine the impact of the control parameters on the separation and purification reaction characteristics. For example, this can be achieved through data fitting or machine learning algorithms. The adjustment thresholds are fitted into the mapping relationship to ensure that changes in the control parameters do not exceed a safe range during the subsequent optimization process, thereby avoiding negative impacts on the separation and purification effect.

[0066] Next, the process flow, control parameters, adjustment thresholds, separation and purification reaction characteristics, and separation and purification effects of various separation and purification methods are integrated to construct a separation and purification technology feature configuration table, obtain the characteristics and applicable scope of different separation and purification methods, and optimize the separation and purification effects under specific conditions.

[0067] By constructing a separation and purification technology feature configuration table, the separation and purification efficiency can be improved.

[0068] Furthermore, the present application further comprises the following steps:

[0069] According to the separation and purification matching relationship, the process flow, control parameters, adjustment thresholds, and separation and purification reaction characteristics of multiple separation and purification means are obtained;

[0070] The process flow, control parameters, adjustment thresholds, and separation and purification reaction characteristics of the multiple separation and purification means are respectively utilized to fit into the simulation space to construct a simulation subspace of the multiple separation and purification means;

[0071] The extraction raw materials, target extract, raw material reaction constraints, and target extract reaction requirements are respectively fitted into the simulation subspace for simulation processing to obtain simulation record data of multiple separation and purification means;

[0072] Taking the reaction time and the maximum separation and purification effect as the target values, the simulation record data of multiple separation and purification means are searched respectively, and the target values are weightedly calculated according to the preset weights to obtain the target separation and purification information, which is the separation and purification means with the maximum weighted target value.

[0073] Specifically, based on the separation and purification matching relationship, the process flow, control parameters, adjustment thresholds and separation and purification reaction characteristics of various separation and purification means are obtained, that is, the process flow, control parameters, adjustment thresholds of control parameters and the effect of separation and purification reaction of each separation and purification means.

[0074] The process flow, control parameters, adjustment thresholds, and reaction characteristics of each separation and purification method are then fitted into the constructed simulation space. Within the simulation space, an independent simulation subspace is constructed for each separation and purification method to simulate the operation of that specific separation and purification method under specific conditions.

[0075] Next, the extraction raw materials, target extract, raw material reaction constraints, and target extract reaction requirements are fitted into the corresponding simulation subspace. Within the simulation subspace, simulation processing is performed according to the set process flow, control parameters, and adjustment thresholds. The separation and purification process is simulated, and data such as reaction time and separation and purification effect are recorded to form simulation record data.

[0076] Next, with the shortest reaction time and the greatest separation and purification effect as the target values, the simulation record data for each separation and purification method is searched. By sorting and filtering the data, records that meet the target values are found. According to the preset weights, a weighted calculation is performed on the reaction time and separation and purification effect. The weights can be set according to actual needs. For example, if the separation and purification effect is more important, a higher weight can be given, and vice versa. The weighted target value of each separation and purification method is obtained through weighted calculation. The weighted target values are compared, and the separation and purification method with the largest weighted target value is selected as the target separation and purification information.

[0077] By constructing a simulation subspace and performing simulation processing and data recording within it, the performance of various separation and purification methods can be evaluated. By combining target value search and weighted calculation, the optimal separation and purification method under specific conditions can be found.

[0078] Furthermore, the present application further comprises the following steps:

[0079] According to the control instruction, a control process and control parameters are obtained, wherein the control parameters include reaction control time and reaction effect target characteristics;

[0080] Perform constraint evaluation on the reaction control time according to the control process, and determine the trigger threshold of the reaction control time of each control process;

[0081] Based on the reaction effect target characteristics and the trigger threshold of the reaction control time, weights are configured to build a process adaptive trigger module;

[0082] The process node switching adaptive analysis is performed through the process adaptive trigger module to determine whether to execute the process switching operation of the control instruction, so as to switch the control process according to the control process timing relationship.

[0083] Specifically, the control instructions are used to obtain the relevant control process and control parameters. The control process refers to the steps or operations required to perform the separation and purification task. Control parameters include reaction control time and target reaction characteristics. Reaction control time refers to the desired reaction time, and target reaction characteristics refer to the desired reaction effect or specific properties of the product.

[0084] Next, we conduct a constraint evaluation of the reaction control time within the control process, analyzing the time required for each control process step, as well as the dependencies and timing requirements between steps. Through this constraint evaluation, we determine the trigger threshold for the reaction control time of each control process. In actual operation, the trigger threshold refers to the time point at which the next control process step needs to be triggered or switched to.

[0085] Next, we assign weights based on the target characteristics of the response effect and the trigger threshold for the response control time. We assign weights based on the relative importance of different factors in the decision-making process. We use these weights to build a process-adaptive triggering module, ensuring the desired response effect is achieved while meeting time constraints.

[0086] Next, the process adaptive trigger module performs adaptive analysis of process node switching. This involves real-time monitoring of the reaction process, collecting real-time data, and comparing and analyzing it with trigger thresholds and weights. Based on the analysis results, it determines whether to execute the process switching operation specified in the control instruction. If a switch is required, it automatically switches to the next step or operation according to the timing relationship of the control process.

[0087] By ensuring that the separation and purification process is completed efficiently and accurately within the scheduled time while achieving the desired reaction effect, the flexibility and adaptability of the process are improved, which can better cope with the uncertainties and changes in actual operations.

[0088] Furthermore, the present application further comprises the following steps:

[0089] Set the adaptive function: ,

[0090] in, is the trigger threshold of the reaction control time, is the switching execution time of the i-th control flow, is the current reaction time of the i-th control process, is the reaction end time of the i-1 control process, is the target characteristic of the reaction effect of the i-th control process, is the current monitoring characteristic of the reaction effect of the i-th control process, Configure weights for adaptive evaluation of reaction control time, is the reaction speed of the i-th control process;

[0091] Based on the adaptive function, the process adaptive trigger module is constructed.

[0092] Specifically, when the separation and purification matching relationship is not unique, the reaction control time is usually used for screening. However, for the control parameters that do not reach the preset reaction control time but reach the preset reaction effect target characteristics, they are controlled according to the reaction effect target characteristics. At the same time, the reaction control time that is not reached is shorter than the preset reaction control time. Further, in the adaptive function, if the current reaction time of the i-th control process is End time of reaction with the i-1th control process Less than the trigger threshold of the reaction control time When the reaction effect target characteristics are used for control, the current monitoring characteristics of the reaction effect of the i-th control process and the reaction effect target characteristics of the i-th control process are used for control. The difference between the values and the reaction speed of the i-th control process Calculate the ratio. Trigger threshold of reaction control time and the current reaction time of the i-th control process The adaptive evaluation configuration weight of the difference between Perform product calculation, add the ratio calculation result and the product calculation result as the switching execution time of the i-th control process If the current reaction time of the i-th control process End time of reaction with the i-1th control process Trigger threshold equal to the reaction control time When the current reaction time of the i-th control process is As the switching execution time of the i-th control flow . Then, based on the adaptive function, a process adaptive trigger module is constructed.

[0093] By using the adaptive function, the efficiency of obtaining the reaction control time is improved, and the efficiency of the switching control process is further improved.

[0094] In summary, the efficient extraction and purification method for plant hollow capsules provided in this application has the following technical effects:

[0095] By obtaining extraction raw materials and target extracts, reaction characteristics of the extraction raw materials and target extracts are analyzed to determine raw material reaction constraints and target extract reaction requirements; a separation and purification technology feature configuration table is constructed, which includes a variety of separation and purification means and their separation and purification reaction characteristics; the separation and purification technology feature configuration table is used to match the raw material reaction constraints and target extract reaction requirements with separation and purification reaction characteristics to determine a separation and purification matching relationship, including separation and purification means and feature matching relationship; when the separation and purification matching relationship is not unique, the separation and purification matching relationship is used to filter with reaction time as the target value to obtain target separation and purification information; the process parameters are decomposed according to the separation and purification means and feature matching relationship of the target separation and purification information, and control instructions are generated. The control instructions are used to perform separation and purification control according to the process parameters corresponding to the separation and purification means, thereby achieving the technical goal of obtaining the most suitable separation and purification method and reaction conditions, and achieving the technical effect of ensuring the efficiency and accuracy of separation and purification.

[0096] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0097] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A high-efficiency extraction and purification method for plant hollow capsules, characterized in that: The method comprises: Obtaining extraction raw materials and target extracts, analyzing the reaction characteristics of the extraction raw materials and target extracts, and determining the reaction constraints of the raw materials and the reaction requirements of the target extracts; Construct a separation and purification technology feature configuration table, which includes a variety of separation and purification methods and their separation and purification reaction characteristics; Using the separation and purification technology feature configuration table, the raw material reaction constraints and the target extract reaction requirements are matched with separation and purification reaction features to determine a separation and purification matching relationship, including separation and purification means and feature matching relationships; When the separation and purification matching relationship is not unique, screening is performed based on the separation and purification matching relationship with the reaction time as the target value to obtain target separation and purification information; Decomposing process parameters according to the separation and purification means and feature matching relationship of the target separation and purification information to generate control instructions, wherein the control instructions are used to control separation and purification according to the process parameters corresponding to the separation and purification means; Wherein, the construction of the separation and purification technology feature configuration table includes: Obtain process flow and control parameters of various separation and purification methods and build simulation space; Based on the simulation space, the separation and purification effects of the control parameters of each process flow are obtained, and the reaction characteristics of the separation and purification process are quantified according to the separation and purification effects to determine the separation and purification reaction characteristics; Obtaining adjustment thresholds of control parameters of each process flow, establishing a mapping relationship between the control parameters and the separation and purification reaction characteristics, and fitting the adjustment thresholds to the mapping relationship; Establishing the corresponding relationships among the process flow, control parameters, adjustment thresholds, separation and purification reaction characteristics, and separation and purification effects of the various separation and purification methods, and constructing a configuration table of separation and purification technical characteristics; Screening is performed based on the separation and purification matching relationship with the reaction time as the target value to obtain target separation and purification information, including: According to the separation and purification matching relationship, the process flow, control parameters, adjustment thresholds, and separation and purification reaction characteristics of multiple separation and purification means are obtained; The process flow, control parameters, adjustment thresholds, and separation and purification reaction characteristics of the multiple separation and purification means are respectively utilized to fit into the simulation space to construct a simulation subspace of the multiple separation and purification means; The extraction raw materials, target extract, raw material reaction constraints, and target extract reaction requirements are respectively fitted into the simulation subspace for simulation processing to obtain simulation record data of multiple separation and purification means; Taking the reaction time and the maximum separation and purification effect as target values, respectively searching the simulation record data of multiple separation and purification means, performing weighted calculation of the target values according to preset weights, and obtaining the target separation and purification information, wherein the target separation and purification information is the separation and purification means with the maximum weighted target value; After generating the control instruction, the method further includes: According to the control instruction, a control process and control parameters are obtained, wherein the control parameters include reaction control time and reaction effect target characteristics; Perform constraint evaluation on the reaction control time according to the control process, and determine the trigger threshold of the reaction control time of each control process; Based on the reaction effect target characteristics and the trigger threshold of the reaction control time, weights are configured to build a process adaptive trigger module; Performing process node switching adaptive analysis through the process adaptive trigger module to determine whether to execute the process switching operation of the control instruction, so as to switch the control process according to the control process timing relationship; The process of configuring weights and constructing a process adaptive trigger module based on the reaction effect target characteristics and the trigger threshold of the reaction control time includes: Set the adaptive function: , in, is the trigger threshold of the reaction control time, is the switching execution time of the i-th control flow, is the current reaction time of the i-th control process, is the reaction end time of the i-1 control process, is the target characteristic of the reaction effect of the i-th control process, is the current monitoring characteristic of the reaction effect of the i-th control process, Configure weights for adaptive evaluation of reaction control time, is the reaction speed of the i-th control process; Based on the adaptive function, the process adaptive trigger module is constructed.

2. The method according to claim 1, wherein Analyze the reaction characteristics of the extraction raw materials and target extract to determine the reaction constraints of the raw materials and the reaction requirements of the target extract, including: Establishing a reaction process for generating the extraction raw material and the target extract; Using historical sample data, perform an impact analysis on the generation reaction process to determine the impact of each reaction process and the corresponding reaction parameters; Taking the reaction sufficiency of the extracted raw materials as the goal, screening the influence of each reaction process, and determining the raw material reaction constraint conditions, wherein the raw material reaction constraint conditions are reaction parameters that affect the reaction sufficiency of the raw materials to reach a preset influence degree; Taking the extraction effect of the target extract as the target, the influence of each reaction process is screened to determine the reaction requirements of the target extract. The reaction requirements of the target extract are reaction parameters that have a preset influence on the extraction effect.

3. The method according to claim 2, wherein The use of historical sample data to perform an impact analysis on the generation reaction process to determine the impact of each reaction process and the corresponding reaction parameters includes: Establishing a clustering parameter combination according to the reaction process and reaction parameters, clustering the historical sample data, and constructing a cluster sample cluster; The reaction parameters are used as independent variables, and the reaction sufficiency of the extracted raw materials and the extraction effect of the target extract are used as dependent variables. The influence of the reaction parameters on each reaction process is obtained by fitting through clustering sample clusters.

4. The method according to claim 3, wherein The method further comprises: Performing sample distribution uniformity, sample change step size, clustering dispersion, and clustering aggregation analysis on the clustered sample clusters; Evaluate the generalization ability of the sample according to the sample distribution uniformity and the sample change step size to obtain a first evaluation coefficient; Performing sample clustering reliability evaluation based on the cluster dispersion and cluster aggregation degree to obtain a second evaluation coefficient; Calculate the mean of the first evaluation coefficient and the second evaluation coefficient, and configure the adjustment coefficient of the cluster; The influence of each reaction process is adjusted using the adjustment coefficient.

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