Efficient extracting solution separation and purification method for plant empty capsules

Abstract

The invention provides an efficient extracting solution separation and purification method for plant empty capsules, and relates to the technical field of separation and purification, the method comprises the following steps: carrying out reaction characteristic analysis on an extraction raw material and a target extracting solution, and determining raw material reaction constraint conditions and target extracting solution reaction requirements; constructing a separation and purification technical feature configuration table; carrying out separation and purification reaction characteristic matching on the raw material reaction constraint conditions and the target extracting solution reaction requirements, and determining a separation and purification matching relationship; when the separation and purification matching relationship is not unique, screening by taking the reaction time as a target value according to the separation and purification matching relationship to obtain target separation and purification information; and performing flow parameter decomposition according to the separation and purification means of the target separation and purification information and the feature matching relationship, and generating a control instruction. According to the invention, the technical problem of poor separation and purification effects in the prior art can be solved, and the technical effect of ensuring high efficiency and accuracy of separation and purification is achieved.

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 methods, most of them only use a single index to screen the reaction conditions. For example, relying only 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 is now needed to solve the above problems.

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

[0005] The purpose of the present application is to provide an efficient method for separating and purifying extracts of plant hollow capsules, in order to solve the technical problem in the prior art that since most of the 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 effects, and may also cause waste of resources, further affecting the separation and purification effects.

[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 a method for separating and purifying an efficient extract of a plant hollow capsule, wherein the method comprises: obtaining an extraction raw material and a target extract, analyzing the reaction characteristics of the extraction raw material and the target extract, and determining the raw material reaction constraints and the target extract reaction requirements; constructing a separation and purification technical feature configuration table, which includes a variety of separation and purification means and their separation and purification reaction characteristics; using the separation and purification technical feature configuration table to match the raw material reaction constraints and the target extract reaction requirements with the separation and purification reaction characteristics, and determining 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: By obtaining extraction raw materials and target extraction liquid, the reaction characteristics of the extraction raw materials and target extraction liquid are analyzed to determine the raw material reaction constraints and the target extraction liquid reaction requirements; a separation and purification technical 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 technical feature configuration table is used to match the raw material reaction constraints and the target extraction liquid reaction requirements with separation and purification reaction characteristics to determine the 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 reaction time is used as the target value for screening according to the separation and purification matching relationship to obtain the 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 high efficiency and accuracy of separation and purification.

[0009] 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, it can be implemented according to the contents of the specification, and in order 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 cited 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

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 This is a schematic diagram of the process of separating and purifying the highly efficient extract solution of plant hollow capsules used in this application; Figure 2 The present invention is a flow chart for constructing a separation and purification technology feature configuration table in the method for separating and purifying the highly efficient extract of plant hollow capsules used in this application. DETAILED DESCRIPTION

[0012] The present application provides a highly efficient separation and purification method for extracts of plant hollow capsules, which solves the technical problem that the main reaction conditions for separation and purification may be difficult to obtain due to the fact that most of the reaction conditions are obtained only through a single characteristic, resulting in poor reaction effects, and may also cause waste of resources, further affecting the separation and purification effect. The technical goal of obtaining the most suitable separation and purification method and reaction conditions is achieved, and the technical effect of ensuring the efficiency and accuracy of separation and purification is achieved.

[0013] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0014] Embodiment 1 Please see 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: Step 1: obtaining extraction raw materials and target extraction liquid, analyzing the reaction characteristics of the extraction raw materials and target extraction liquid, and determining the raw material reaction constraints and target extraction liquid reaction requirements; Specifically, information about the extraction raw materials is collected. The reaction changes that occur in the extraction raw materials during the reaction process are analyzed to determine the reaction constraints of the extraction raw materials, that is, the parameter conditions that need to be met for the extraction raw materials to fully react. The target extract is analyzed to determine the reaction requirements of the target extract, that is, the parameter requirements required to achieve the effect of generating the target extract by reacting the extraction raw materials.

[0015] 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; Specifically, a separation and purification technology feature configuration table is constructed by taking a variety of separation and purification means as configuration indicators and the separation and purification reaction characteristics of the various separation and purification means as parameters corresponding to the configuration indicators. The separation and purification reaction characteristics refer to the reaction effects of the separation and purification means under specific conditions.

[0016] Step 3: 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 extract reaction requirements, and determining the separation and purification matching relationship, including separation and purification means and feature matching relationship; 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 corresponding to the separation and purification means.

[0017] Step 4: when the separation and purification matching relationship is not unique, screening is performed according to the separation and purification matching relationship with reaction time as the target value to obtain target separation and purification information; Specifically, when the separation and purification matching relationship is not unique, there are multiple separation and purification means that meet the reaction requirements of the extraction raw material and the target extract. When faced with multiple optional separation and purification matching relationships, the reaction time is used as a screening criterion. The separation and purification means with a shorter reaction time indicates a higher production efficiency. By comparing the expected reaction times of different matching relationships, the scheme with the shortest reaction time is selected as the target separation and purification information.

[0018] Step 5: Decompose the process parameters according to the separation and purification means and feature matching relationship of the target separation and purification information, and generate control instructions, which are used to perform separation and purification control according to the process parameters corresponding to the separation and purification means.

[0019] Specifically, after determining the 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. This includes decomposing the complex separation and purification process into specific operation steps and determining the corresponding control parameters for each step. Based on the results of the process parameter decomposition, control instructions are generated to guide the operation of the separation and purification equipment to ensure accurate control according to the process parameters corresponding to the separation and purification means.

[0020] The highly efficient 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.

[0021] Furthermore, the present application also includes the following steps: Establishing a reaction process for generating the extraction raw material and the target extract; Using historical sample data, the impact analysis of the generation reaction process is performed to determine the impact degree of each reaction process and the corresponding reaction parameters; Taking the reaction sufficiency of the extracted raw materials as a target, screening the influence of each reaction process, and determining the raw material reaction constraint condition, wherein the raw material reaction constraint condition is a reaction parameter that affects 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, which are reaction parameters whose influence on the extraction effect reaches a preset influence.

[0022] Specifically, if Figure 2 As shown, the chemical reaction or biological transformation process between the extraction raw material and the target extract is clearly defined. Among them, the composition of the raw material, the composition of the target extract, and the possible reactions or transformations are obtained. Establishing the generation reaction process includes determining the reaction conditions, reactant ratio, catalyst type and dosage, etc. Reaction conditions such as temperature, pressure, pH value, etc.

[0023] Then, the historical sample data is used to 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.

[0024] Next, with the reaction sufficiency of the extracted raw material as the goal, that is, the extraction of the raw material is fully reacted, the reaction parameters that are fully reacted are screened, and the influence of the reaction process corresponding to the reaction parameter is determined, and it is determined as the raw material reaction constraint. Among them, the influence of the reaction process corresponding to the reaction parameter in the raw material reaction constraint reaches the preset influence, and the reaction parameter at this time is used as the raw material reaction constraint. The preset influence is the expected reaction result customized by those skilled in the art according to the actual situation.

[0025] Next, with the target extracting solution 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 extracting solution reaction requirements, wherein the influence of the target reaction process in the target extracting solution reaction requirements reaches the preset influence.

[0026] By analyzing and optimizing the generation reaction process between the extraction raw materials and the target extract, the reaction parameters and conditions are determined to improve the extraction efficiency and product quality.

[0027] Furthermore, the present application also includes the following steps: Establishing a clustering parameter combination according to the reaction process and reaction parameters, clustering the historical sample data, and constructing a clustering 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.

[0028] Specifically, a clustering parameter combination is established according to the reaction process and reaction parameters. The historical sample data is clustered using the clustering parameter combination, and the historical sample data is grouped according to the similarity of the data to form clustered sample clusters. The clustered samples in each clustered sample cluster have similar characteristics in terms of clustering parameters.

[0029] Then, 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 to determine the influence of each reaction parameter on the reaction process. The mathematical model between the reaction parameters and the reaction sufficiency and the extraction effect of the target extract is established by fitting the clusters of clustered samples. For example, regression analysis, decision tree, random forest and other methods can be used for fitting to obtain the influence of the reaction parameters on the reaction sufficiency and the extraction effect.

[0030] 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.

[0031] Furthermore, the present application also includes the following steps: Analyzing the sample distribution uniformity, sample change step length, clustering dispersion, and clustering aggregation degree of the clustered sample clusters; According to the sample distribution uniformity and the sample change step length, the generalization ability of the sample is evaluated to obtain a first evaluation coefficient; Performing sample clustering reliability evaluation according to the clustering dispersion and clustering aggregation degree to obtain a second evaluation coefficient; Calculate the mean value of the first evaluation coefficient and the second evaluation coefficient, and configure the adjustment coefficient of the cluster; The adjustment coefficient is used to adjust the influence of each reaction process.

[0032] Specifically, analyze the distribution of cluster samples within each cluster sample cluster, determine whether the cluster samples are evenly distributed in each area of ​​the cluster, and evaluate the representativeness of cluster samples within the cluster sample cluster. Calculate the change step size of the reaction parameters of cluster samples within the cluster sample cluster, that is, the parameter difference between adjacent samples. Evaluate the degree of discreteness between different cluster sample clusters, that is, the degree of distinction between cluster sample clusters. Analyze the degree of aggregation of cluster samples within the cluster sample cluster, that is, the similarity and closeness of cluster samples within the cluster sample cluster.

[0033] Then, according to the following display formula: , 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 clustering sample cluster, q is the average number of clustering sample parameters of the clustering sample cluster, is the weight of the sample change step term, is the sample change step size of the i-th cluster sample cluster. and The sum is 1. Further, the number of parameters of cluster samples of each cluster sample cluster and the average number of parameters of multiple cluster sample clusters are calculated, and the difference between the number of parameters and the average number of parameters is calculated, the difference is calculated as a ratio with the average number of parameters, the ratio calculation results corresponding to each cluster sample cluster are summed, and the inverse of the number of cluster sample clusters is multiplied by the summed calculation result to obtain the sample distribution uniformity term. Further, the inverse of the sample change step length of each cluster sample cluster is calculated, multiple inverses are summed, and the summed result is multiplied by the inverse of the number of cluster sample clusters to obtain the sample change step length term. According to the weight of the sample distribution uniformity term and the weight of the sample change step length term, the product is calculated with the sample distribution uniformity term and the sample change step length 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 length term are obtained by custom settings by those skilled in the art according to actual conditions.

[0034] Next, the silhouette coefficient is an indicator used to evaluate the quality of clustering effect, which describes the clarity of the outline of each category after clustering. The silhouette coefficient is evaluated by combining the analysis results of clustering dispersion and cluster aggregation to obtain the reliability of sample clustering as the second evaluation coefficient.

[0035] Next, the first evaluation coefficient and the second evaluation coefficient are averaged to obtain the adjustment coefficient of the cluster.

[0036] Then, the influence degree of each reaction process is adjusted using the adjustment coefficient, which helps to optimize the analysis results of the influence degree according to the characteristics of the cluster.

[0037] By performing a series of analyses and evaluations on the clustered sample clusters, we can more accurately understand the characteristics of the clusters and optimize the analysis results of the influence degree accordingly. This helps to improve the accuracy and effectiveness of subsequent reaction process optimization and extraction effect improvement. This method has a wide range of application value in fields such as data analysis, machine learning, and chemical engineering.

[0038] Furthermore, the present application also includes the following steps: Obtain the 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; 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 means are established, and a configuration table of the separation and purification technical characteristics is constructed.

[0039] Specifically, the process flow and control parameters of various separation and purification methods are collected. Separation and purification methods may include extraction, distillation, chromatographic separation, etc. Control parameters refer to factors that affect the separation and purification effect, such as temperature, pressure, flow rate, solvent type, etc. Using the collected process flow and control parameters, through computer simulation or experimental means, the operation status of various separation and purification processes is simulated, and a simulation space is constructed to test the separation and purification effects under different parameter combinations.

[0040] Then, in the simulation space, by adjusting the control parameters of each process flow, observe and record the changes in the separation and purification effect. The separation and purification effect can be measured by a variety of indicators, such as purity, recovery rate, separation speed, etc. Based on multiple effect data, 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.

[0041] Next, the adjustment threshold of each process control parameter is obtained. The adjustment threshold refers to the critical value that will not significantly affect the separation and purification effect when the control parameter changes within a certain range. A mapping relationship between the control parameter and the separation and purification reaction characteristics is established to determine the influence of the control parameter on the separation and purification reaction characteristics. For example, this is achieved through data fitting or machine learning algorithms. The adjustment threshold is fitted to the mapping relationship to ensure that the change of the control parameter does not exceed the safety range in the subsequent optimization process, thereby avoiding a negative impact on the separation and purification effect.

[0042] Next, the information on 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, in order to obtain the characteristics and applicable scope of different separation and purification methods, and to optimize the separation and purification effect under specific conditions.

[0043] By constructing a separation and purification technology feature configuration table, the separation and purification efficiency can be improved.

[0044] Furthermore, the present application also includes the following steps: 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 used to fit into the simulation space to construct a simulation subspace of the multiple separation and purification means; The extraction raw materials, target extraction liquid, raw material reaction constraints, and target extraction liquid 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 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.

[0045] Specifically, according to 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.

[0046] Then, the process flow, control parameters, adjustment thresholds, and separation and purification reaction characteristics of each separation and purification method are fitted into the constructed simulation space. In the simulation space, an independent simulation subspace is constructed for each separation and purification method to simulate the operation status of a specific separation and purification method under specific conditions.

[0047] Next, the information of extraction raw materials, target extract, raw material reaction constraints, target extract reaction requirements, etc. are fitted into the corresponding simulation subspaces. In 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.

[0048] Next, with the shortest reaction time and the maximum separation and purification effect as the target value, the simulation record data of each separation and purification means is searched. The records that meet the target value are found by sorting and screening the data. According to the preset weights, the reaction time and separation and purification effect are weighted. The setting of the weights can be carried out according to actual needs. For example, if the separation and purification effect is more valued, a higher weight can be given, otherwise, the lower the weight. Through weighted calculation, the weighted target value of each separation and purification means is obtained. Compare the weighted target values, and select the separation and purification means with the largest weighted target value as the target separation and purification information.

[0049] By constructing a simulation subspace and performing simulation processing and data recording in it, the performance of various separation and purification methods can be evaluated. Combined with target value search and weighted calculation, the optimal separation and purification method under specific conditions can be found.

[0050] Furthermore, the present application also includes the following steps: 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; 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.

[0051] Specifically, according to the control instructions, relevant control processes and control parameters are obtained. The control process refers to the steps or operations for performing separation and purification tasks, and the control parameters include reaction control time and reaction effect target characteristics. Reaction control time refers to the expected reaction time, and reaction effect target characteristics refer to the expected reaction effect or specific properties of the product.

[0052] Then, the constraint evaluation of the reaction control time in the control process is carried out to analyze the time required for each control process step, as well as the dependencies and timing requirements between the steps. Through the constraint evaluation, the trigger threshold of the reaction control time of each control process is determined. The trigger threshold means that in actual operation, when a certain time point is reached, it is necessary to trigger or switch to the next control process step.

[0053] Next, we configure the corresponding weights based on the target characteristics of the reaction effect and the trigger threshold of the reaction control time. We configure the weights based on the relative importance of different factors in the decision-making process. We use the weights to build a process adaptive trigger module to ensure that the desired reaction effect is achieved while meeting the time constraints.

[0054] Next, the process node switching adaptive analysis is performed through the process adaptive trigger module. This includes real-time monitoring of the reaction process, collecting real-time data, and comparing and analyzing it with the trigger threshold and weight. Based on the analysis results, it is determined whether to execute the process switching operation in the control instruction. If switching is required, it automatically switches to the next step or operation according to the timing relationship of the control process.

[0055] By ensuring that the separation and purification process is completed efficiently and accurately within the scheduled time and achieving the desired reaction effect, the flexibility and adaptability of the process are improved, which can better cope with uncertainties and changes in actual operations.

[0056] Furthermore, the present application also includes the following steps: Set up 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-1th 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.

[0057] 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 The reaction end time with the i-1th control process The trigger threshold is less than the reaction control time When the reaction effect target characteristic is used for control, the current monitoring characteristic of the reaction effect of the i-th control process and the reaction effect target characteristic 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 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 The reaction end time with the i-1th control process The trigger threshold is 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.

[0058] 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.

[0059] In summary, the efficient extraction liquid separation and purification method for plant hollow capsules provided in this application has the following technical effects: By obtaining extraction raw materials and target extraction liquid, the reaction characteristics of the extraction raw materials and target extraction liquid are analyzed to determine the raw material reaction constraints and the target extraction liquid reaction requirements; a separation and purification technical 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 technical feature configuration table is used to match the raw material reaction constraints and the target extraction liquid reaction requirements with separation and purification reaction characteristics to determine the 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 reaction time is used as the target value for screening according to the separation and purification matching relationship to obtain the 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 high efficiency and accuracy of separation and purification.

[0060] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those 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 will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0061] Obviously, those skilled in the art can 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 belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for separating and purifying an efficient extract of a plant hollow capsule, characterized in that: The method comprises: Obtaining extraction raw materials and target extraction liquid, analyzing the reaction characteristics of the extraction raw materials and target extraction liquid, and determining the raw material reaction constraints and the target extraction liquid reaction requirements; 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 according to the separation and purification matching relationship with reaction time as a target value to obtain target separation and purification information; The process parameters are decomposed according to the separation and purification means and the feature matching relationship of the target separation and purification information to generate control instructions, which are used to perform separation and purification control according to the process parameters corresponding to the separation and purification means.

2. The method according to claim 1, characterized in that The reaction characteristics of the extraction raw materials and the target extraction liquid are analyzed to determine the raw material reaction constraints and the target extraction liquid reaction requirements, including: Establishing a reaction process for generating the extraction raw material and the target extract; Using historical sample data, the impact analysis of the generation reaction process is performed to determine the impact degree of each reaction process and the corresponding reaction parameters; Taking the reaction sufficiency of the extracted raw materials as a target, screening the influence of each reaction process, and determining the raw material reaction constraint condition, wherein the raw material reaction constraint condition is a reaction parameter that affects 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, which are reaction parameters whose influence on the extraction effect reaches a preset influence.

3. The method according to claim 2, characterized in that The use of historical sample data to perform an influence analysis on the generation reaction process to determine the influence 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 clustering 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, characterized in that The method further comprises: Analyzing the sample distribution uniformity, sample change step length, clustering dispersion, and clustering aggregation degree of the clustered sample clusters; According to the sample distribution uniformity and the sample change step length, the generalization ability of the sample is evaluated to obtain a first evaluation coefficient; Performing sample clustering reliability evaluation according to the clustering dispersion and clustering aggregation degree to obtain a second evaluation coefficient; Calculate the mean value of the first evaluation coefficient and the second evaluation coefficient, and configure the adjustment coefficient of the cluster; The adjustment coefficient is used to adjust the influence of each reaction process.

5. The method according to claim 1, characterized in that The construction of the separation and purification technology feature configuration table includes: Obtain the 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; 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 means are established, and a configuration table of the separation and purification technical characteristics is constructed.

6. The method according to claim 5, characterized in that Screening is performed according to 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 used to fit into the simulation space to construct a simulation subspace of the multiple separation and purification means; The extraction raw materials, target extraction liquid, raw material reaction constraints, and target extraction liquid 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 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.

7. The method according to claim 1, characterized in that 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; 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.

8. The method according to claim 7, characterized in that The triggering threshold based on the reaction effect target feature and the reaction control time, configuring the weight, and constructing the process adaptive triggering module include: Set up 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-1th 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.

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