Gynostemma pentaphylla component separation method and system based on ultrasonic-assisted membrane combination

Abstract

The invention relates to the technical field of biotechnology and pharmaceutical engineering, in particular to a fiveleaf gynostemma herb component separation method and system based on ultrasonic-assisted membrane combining.The method comprises the steps that an initial fiveleaf gynostemma herb set is obtained, a target fiveleaf gynostemma herb set is obtained based on the initial fiveleaf gynostemma herb set, and a fiveleaf gynostemma herb experimental group set is extracted from the target fiveleaf gynostemma herb experimental group set; obtaining a target crushing curve based on the gynostemma pentaphyllum experimental group and the crushing parameter set, extracting a target crushing parameter group from the target crushing curve, obtaining analyzed crushed gynostemma pentaphyllum by using the target crushing parameter group, obtaining an analyzed gynostemma pentaphyllum mixed solution based on the analyzed crushed gynostemma pentaphyllum, and determining a target ultrasonic parameter group based on the ultrasonic parameter set and analyzing the gynostemma pentaphylla mixed solution, obtaining a target gynostemma pentaphylla crude solution by using the target ultrasonic parameter group, obtaining a target screening parameter group based on the initial screening parameter set, and obtaining a target extracting solution by using the target screening parameter group. According to the method, the gynostemma pentaphylla component separation accuracy and efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical fields of biotechnology and pharmaceutical engineering, and particularly relates to a method and system for separating the components of Gynostemma pentaphyllum based on ultrasonic-assisted membrane combination. Background Art

[0002] Gynostemma pentaphyllum contains a variety of active ingredients. For example, gypenosides have the effects of regulating immunity, reducing blood lipid, and anti-fatigue. The separation of these components not only helps to deeply study their pharmacological action mechanisms, but also provides a scientific basis for the development of new drugs and health products. With the increasing attention of people to health, the efficient extraction and application of Gynostemma pentaphyllum components can meet the market demand and promote the development of the pharmaceutical and health industries. Therefore, the separation of Gynostemma pentaphyllum components is of great significance for the development of new drugs.

[0003] Currently, the traditional methods for separating the components of Gynostemma pentaphyllum are mostly simple soaking, boiling, or rough filtration. These methods have many drawbacks, such as cumbersome operation, long time consumption, and being easily interfered by impurities, which affect the purity of the components and the accuracy of subsequent research.

[0004] Although the traditional methods for separating the components of Gynostemma pentaphyllum can achieve the preliminary separation of the components, there are problems such as low extraction efficiency and difficulty in fully separating the effective components. In addition, the traditional methods are cumbersome to operate, time-consuming, and there are many impurities in the extraction process, which affect the purity of the components and the subsequent application effects. Therefore, the accuracy and efficiency of the separation of Gynostemma pentaphyllum components need to be improved. Summary of the Invention

[0005] The present invention provides a method for separating the components of Gynostemma pentaphyllum based on ultrasonic-assisted membrane combination and a computer-readable storage medium, and its main purpose is to improve the accuracy and efficiency of the separation of Gynostemma pentaphyllum components.

[0006] To achieve the above object, a method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination provided by the present invention includes: obtaining an initial Gynostemma pentaphyllum set, and obtaining a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set; obtaining a set of comminution parameters, wherein the set of comminution parameters contains a plurality of comminution parameter groups, counting the number of comminution parameter groups in the set of comminution parameters to obtain the number of comminution parameter groups, and using the number of comminution parameter groups and a preset extraction number to extract a Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set; obtaining a set of comminution curves based on the Gynostemma pentaphyllum experimental group set and the set of comminution parameters, and obtaining a target comminution curve based on the set of comminution curves; extracting a target comminution parameter group from the target comminution curve, extracting an analyzed Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and using the target comminution parameter group to comminute the analyzed Gynostemma pentaphyllum sample to obtain an analyzed comminuted Gynostemma pentaphyllum; obtaining the mass of the analyzed comminuted Gynostemma pentaphyllum to obtain an analyzed mass, calculating the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, using the extraction mass to obtain a to-be-mixed pure liquid, and mixing the analyzed comminuted Gynostemma pentaphyllum with the to-be-mixed pure liquid to obtain an analyzed Gynostemma pentaphyllum mixed liquid; obtaining a set of ultrasonic parameters, wherein the set of ultrasonic parameters contains a plurality of ultrasonic parameter groups, confirming a target ultrasonic parameter group based on the set of ultrasonic parameters and the analyzed Gynostemma pentaphyllum mixed liquid, and using the target ultrasonic parameter group and the analyzed Gynostemma pentaphyllum mixed liquid to obtain a target Gynostemma pentaphyllum crude liquid; obtaining a set of initial sieving parameters, wherein the set of initial sieving parameters contains a plurality of initial sieving parameter groups, obtaining a target sieving parameter group based on the set of initial sieving parameters, and using the target sieving parameter group to sieve the target Gynostemma pentaphyllum crude liquid to obtain a target extraction liquid.

[0007] Optionally, the obtaining the target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set includes: performing the following operations on each initial Gynostemma pentaphyllum in the initial Gynostemma pentaphyllum set: obtaining the saponin content of the initial Gynostemma pentaphyllum, and judging whether the saponin content is within a preset content range; after confirming that the saponin content is within the content range, taking the initial Gynostemma pentaphyllum as a pre-screened Gynostemma pentaphyllum; summarizing the pre-screened Gynostemma pentaphyllum to obtain a pre-screened Gynostemma pentaphyllum set; using a preset comminution parameter to perform a comminution operation on the pre-screened Gynostemma pentaphyllum set to obtain a pre-comminuted Gynostemma pentaphyllum set; and using a pre-constructed screening unit and a preset screening particle size range to screen the pre-comminuted Gynostemma pentaphyllum set to obtain a target Gynostemma pentaphyllum set.

[0008] Optionally, the extracting the Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set by using the number of comminution parameter groups and a preset extraction number includes: obtaining the mass of the target Gynostemma pentaphyllum set to obtain the total weight of Gynostemma pentaphyllum, and calculating an analyzed sample threshold based on the total weight of Gynostemma pentaphyllum, the number of comminution parameter groups, the extraction number, and a pre-constructed threshold calculation formula, wherein the threshold calculation formula is as follows: , where represents the analyzed sample threshold, represents the total weight of Gynostemma pentaphyllum, represents the number of the crushing parameter groups, represents the extraction quantity; the weight of the analysis sample is obtained based on the analysis sample threshold, and a plurality of analysis Gynostemma pentaphyllum samples are extracted from the target Gynostemma pentaphyllum set based on the weight of the analysis sample, wherein the weight of the analysis Gynostemma pentaphyllum sample is the weight of the analysis sample; a Gynostemma pentaphyllum experimental group set is obtained based on the plurality of analysis Gynostemma pentaphyllum samples, the number of the crushing parameter groups and the extraction quantity, wherein the Gynostemma pentaphyllum experimental group set contains a plurality of Gynostemma pentaphyllum experimental groups, and each Gynostemma pentaphyllum experimental group contains a plurality of analysis Gynostemma pentaphyllum samples.

[0009] Optionally, obtaining a crushing curve set based on the Gynostemma pentaphyllum experimental group set and the crushing parameter set, and obtaining a target crushing curve based on the crushing curve set, includes: obtaining a plurality of crushing nodes by using the Gynostemma pentaphyllum experimental group set and the crushing parameter set in a combined form, wherein a crushing node includes a Gynostemma pentaphyllum experimental group and a crushing parameter group; performing the following operations on each of the plurality of crushing nodes: performing a crushing operation on each analysis Gynostemma pentaphyllum sample in the Gynostemma pentaphyllum experimental group corresponding to the crushing node by using the crushing parameter group corresponding to the crushing node, to obtain a crushed Gynostemma pentaphyllum set, identifying the crushing particle size of each crushed Gynostemma pentaphyllum in the crushed Gynostemma pentaphyllum set, to obtain a crushing particle size set, wherein the crushing particle size set contains a plurality of crushing particle sizes; obtaining a reference particle size based on the crushing parameter group, and obtaining an updated crushing particle size based on the reference particle size and the crushing particle size set; obtaining a crushing energy consumption value based on the crushing parameter group corresponding to the crushing node, associating the updated crushing particle size and the crushing energy consumption value, to obtain a fitting coordinate point, summarizing the fitting coordinate points, to obtain a fitting coordinate point set; mapping all the fitting coordinate points in the fitting coordinate point set to a pre-constructed coordinate system, to obtain a mapped coordinate point set, and obtaining a crushing curve set by using the pre-constructed fitting model set and the mapped coordinate point set; performing the following operations on each crushing curve in the crushing curve set: obtaining a crushing distance evaluation value based on the crushing curve and a pre-constructed calculation formula of the distance evaluation value, wherein the calculation formula of the distance evaluation value is as follows: , wherein, represents the crushing distance evaluation value, represents that there are mapped coordinate points in the mapped coordinate point set, represents the th crushing particle size of the th fitting coordinate point, represents the fitting value of the crushing curve at the th crushing energy consumption value ; summarizing the crushing distance evaluation values, to obtain a crushing distance evaluation value set, obtaining the minimum crushing distance evaluation value in the crushing distance evaluation value set, and using the crushing curve corresponding to the minimum crushing distance evaluation value as the target crushing curve.

[0010] Optionally, the obtaining of the updated comminution particle size based on the reference particle size and the set of comminution particle sizes includes: determining whether the set of comminution particle sizes meets a pre-constructed particle size evaluation condition, where the particle size evaluation condition is as follows: , where represents the th comminution particle size in the set of comminution particle sizes, represents the number of comminution particle sizes in the set of comminution particle sizes, represents the reference particle size, represents a preset particle size difference threshold; if the particle size evaluation condition is satisfied, calculate the mean value of the comminution particle sizes in the set of comminution particle sizes, and use the mean value as the updated comminution particle size; otherwise, obtain an updated Gynostemma experimental group, use the updated Gynostemma experimental group as the Gynostemma experimental group and return the step of performing a comminution operation on each analyzed Gynostemma sample in the Gynostemma experimental group corresponding to the comminution node using the comminution parameter group corresponding to the comminution node until an updated comminution particle size is obtained.

[0011] Optionally, the extracting of the target comminution parameter group from the target comminution curve includes: obtaining a comminution particle size evaluation interval, and identifying one or more initial evaluation curve segments in the target comminution curve based on the comminution particle size evaluation interval; performing the following operations on each initial evaluation curve in the one or more initial evaluation curve segments: identifying a first energy consumption value and a second energy consumption value in the initial evaluation curve segment, calculating the mean value of the first energy consumption value and the second energy consumption value to obtain an evaluation mean value, summarizing the evaluation mean values to obtain an evaluation mean value set, and using the evaluation mean value set to identify a target evaluation curve segment in the one or more initial evaluation curve segments, where the target evaluation curve segment is the initial evaluation curve segment corresponding to the smallest evaluation mean value in the evaluation mean value set; determining a target comminution energy consumption value based on the target evaluation curve segment, where the target comminution energy consumption value is as follows: , , where represents the target comminution energy consumption value, represents the target evaluation curve segment, represents the comminution energy consumption value, respectively represent the first energy consumption value and the second energy consumption value corresponding to the target evaluation curve segment, represents taking the minimum value, represents the second derivative value of the target evaluation curve at the point ; obtaining the target comminution parameter group based on the target comminution energy consumption value.

[0012] Optionally, the target ultrasonic parameter group confirmed based on the ultrasonic parameter set and the analyzed Gynostemma pentaphyllum mixture includes: based on the ultrasonic parameter set, extracting a plurality of mixture experimental groups from the analyzed Gynostemma pentaphyllum mixture, where the ultrasonic parameter groups in the ultrasonic parameter set correspond one-to-one with the mixture experimental groups in the plurality of mixture experimental groups; performing the following operations on each mixture experimental group in the plurality of mixture experimental groups: within a preset extraction period, using the ultrasonic parameter group in the ultrasonic parameter set to perform a crude liquid extraction operation on the mixture experimental group corresponding to the ultrasonic parameter group to obtain Gynostemma pentaphyllum crude liquid; obtaining the content of saponin components in the Gynostemma pentaphyllum crude liquid to obtain the analyzed component content; obtaining the analyzed energy consumption based on the ultrasonic parameter group, and using the analyzed energy consumption and the extraction period to obtain the unit analyzed energy consumption; correlating the analyzed component content and the unit analyzed energy consumption to obtain an analysis node; calculating an extraction evaluation value based on the analysis node and a pre-constructed extraction evaluation formula, where the extraction evaluation formula is as follows: , where represents the extraction evaluation value, represents the weight of the analyzed component content, represents the analyzed component content corresponding to the analysis node, represents the weight of the unit analyzed energy consumption, represents the unit analyzed energy consumption corresponding to the analysis node; summarizing the extraction evaluation values to obtain an extraction evaluation value set; obtaining the maximum extraction evaluation value in the extraction evaluation value set, and using the ultrasonic parameter group corresponding to the maximum extraction evaluation value as the target ultrasonic parameter group.

[0013] Optionally, obtaining the target screening parameter group based on the initial screening parameter set includes: based on the initial screening parameter set, extracting multiple experimental groups of crude Gynostemma pentaphyllum liquid from the target crude Gynostemma pentaphyllum liquid, where the initial screening parameter groups in the initial screening parameter set correspond one-to-one with the experimental groups of crude Gynostemma pentaphyllum liquid in the multiple experimental groups of crude Gynostemma pentaphyllum liquid; performing the following operations on each experimental group of crude Gynostemma pentaphyllum liquid in the multiple experimental groups of crude Gynostemma pentaphyllum liquid: using the initial screening parameter group in the initial screening parameter set to perform a screening operation on the experimental group of crude Gynostemma pentaphyllum liquid corresponding to the initial screening parameter group, and recording the time in real time with the time when the screening operation is performed on the experimental group of crude Gynostemma pentaphyllum liquid as the starting time to obtain the monitoring time; using the preset detection time interval and the experimental group of crude Gynostemma pentaphyllum liquid in the screening operation to obtain the detected saponin content; when the detected saponin content is greater than or equal to the preset content threshold, obtaining the Gynostemma pentaphyllum extract, and using the monitoring time as the screening end time; otherwise, after confirming that the monitoring time reaches the preset pre-screening end time, obtaining the Gynostemma pentaphyllum extract; using the pre-constructed detection unit to obtain the saponin component content in the Gynostemma pentaphyllum extract to obtain the saponin component content; obtaining the screening duration based on the pre-screening end time or the screening end time and the starting time; obtaining the screening energy consumption based on the screening duration; obtaining the target saponin component content based on the detected saponin content or the saponin component content; correlating the screening duration, the screening energy consumption, and the target saponin component content to obtain a screening evaluation node; calculating a screening evaluation value based on the screening evaluation node and the pre-constructed screening evaluation formula, where the screening evaluation formula is as follows: , where, represents the screening evaluation value, represents the weight of the screening duration, represents the target saponin component content, represents the screening duration, represents the weight of the screening energy consumption, represents the screening energy consumption; summarizing the screening evaluation values to obtain a set of screening evaluation values; obtaining the maximum screening evaluation value in the set of screening evaluation values, and using the initial screening parameter group corresponding to the maximum screening evaluation value as the target screening parameter group.

[0014] Optionally, using the target screening parameter group to screen the target crude Gynostemma pentaphyllum liquid to obtain the target extract includes: within the preset screening period, using the pre-constructed monitoring unit and the preset detection frequency to obtain the material in-out ratio, and when the material in-out ratio is less than the preset ratio threshold, extracting the target vibration frequency and the target vibration amplitude from the target screening parameter group; calculating and updating the vibration frequency using the material in-out ratio and the target vibration frequency, where the updated vibration frequency is expressed as: , where, represents the updated vibration frequency, represents the target vibration frequency, represents the adjustment step of the vibration frequency, represents the material inlet and outlet ratio, represents the initial material amount during sieving, represents the remaining material amount during sieving, represents the ratio threshold; calculate and update the vibration amplitude using the material inlet and outlet ratio and the target vibration amplitude; update the target sieving parameter group using the updated vibration frequency and the updated vibration amplitude to obtain an updated sieving parameter group, perform a sieving operation on the target crude Gynostemma pentaphyllum liquid using the updated sieving parameter group to obtain an updated material inlet and outlet ratio, and construct a sieving operation plan based on the updated material inlet and outlet ratio, where the sieving operation plan is as follows: , , where, represents the updated material inlet and outlet ratio, represents the ratio threshold, represents the parameter group set when performing a sieving operation on the target crude Gynostemma pentaphyllum liquid, and this parameter group is the updated sieving parameter group or the target sieving parameter group, represents the target sieving parameter group, represents the updated sieving parameter group; obtain the target extract based on the sieving operation plan and the Gynostemma pentaphyllum crude liquid experimental group.

[0015] To achieve the above object, the present invention also provides a Gynostemma pentaphyllum component separation system based on ultrasonic-assisted membrane combination, comprising: a target Gynostemma pentaphyllum set acquisition module for acquiring an initial Gynostemma pentaphyllum set and obtaining a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set; a Gynostemma pentaphyllum pulverization module for obtaining a pulverization parameter set, wherein the pulverization parameter set contains a plurality of pulverization parameter groups, counting the number of pulverization parameter groups in the pulverization parameter set to obtain the number of pulverization parameter groups, and using the number of pulverization parameter groups and a preset extraction number to extract a Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set; obtaining a pulverization curve set based on the Gynostemma pentaphyllum experimental group set and the pulverization parameter set, and obtaining a target pulverization curve based on the pulverization curve set; extracting a target pulverization parameter group from the target pulverization curve, extracting an analysis Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and pulverizing the analysis Gynostemma pentaphyllum sample using the target pulverization parameter group to obtain an analyzed pulverized Gynostemma pentaphyllum; a target Gynostemma pentaphyllum crude liquid extraction module for obtaining the mass of the analyzed pulverized Gynostemma pentaphyllum to obtain an analyzed mass, calculating the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, using the extraction mass to obtain a to-be-mixed pure liquid, mixing the analyzed pulverized Gynostemma pentaphyllum with the to-be-mixed pure liquid to obtain an analyzed Gynostemma pentaphyllum mixed liquid; obtaining an ultrasonic parameter set, wherein the ultrasonic parameter set contains a plurality of ultrasonic parameter groups, confirming a target ultrasonic parameter group based on the ultrasonic parameter set and the analyzed Gynostemma pentaphyllum mixed liquid, and obtaining a target Gynostemma pentaphyllum crude liquid using the target ultrasonic parameter group and the analyzed Gynostemma pentaphyllum mixed liquid; a target extract acquisition module for obtaining an initial sieving parameter set, wherein the initial sieving parameter set contains a plurality of initial sieving parameter groups, obtaining a target sieving parameter group based on the initial sieving parameter set, and sieving the target Gynostemma pentaphyllum crude liquid using the target sieving parameter group to obtain a target extract.

[0016] To solve the above problems, the present invention also provides an electronic device, which includes: a memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned Gynostemma pentaphyllum component separation method based on ultrasonic-assisted membrane combination.

[0017] To solve the above problems, the present invention also provides a computer-readable storage medium storing at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned Gynostemma pentaphyllum component separation method based on ultrasonic-assisted membrane combination.

[0018] To solve the problems described in the background art, the present invention obtains an initial Gynostemma pentaphyllum set and obtains a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set. It can be seen that the present invention improves the consistency of the quality of Gynostemma pentaphyllum samples by preferentially selecting Gynostemma pentaphyllum plants from the same origin, reduces the influence of environmental differences or sample quality fluctuations on experimental results, and thus improves the repeatability and reliability of experiments. By screening out target Gynostemma pentaphyllum with high saponin content and appropriate particle size, the efficiency of the subsequent extraction process and the purity of the extract can be improved. The present invention obtains a set of comminution parameters, where the set of comminution parameters contains multiple groups of comminution parameters. The number of groups of comminution parameters in the set of comminution parameters is counted to obtain the number of groups of comminution parameters. Using the number of groups of comminution parameters and the preset extraction quantity, a set of Gynostemma pentaphyllum experimental groups is extracted from the target Gynostemma pentaphyllum set. It can be seen that the present invention improves the accuracy of Gynostemma pentaphyllum sample allocation and the standardization degree of experimental operations through scientific calculation and systematic planning. The present invention obtains a set of comminution curves based on the set of Gynostemma pentaphyllum experimental groups and the set of comminution parameters, and obtains a target comminution curve based on the set of comminution curves. It can be seen that the present invention uses multiple mapping coordinate points for fitting and distance evaluation, selects the comminution curve with the smallest error as the target curve, improves the fitting accuracy, and reduces the deviation between the comminution curve and the actual data. The present invention extracts a target group of comminution parameters from the target comminution curve, extracts an analyzed Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and uses the target group of comminution parameters to comminute the analyzed Gynostemma pentaphyllum sample to obtain an analyzed comminuted Gynostemma pentaphyllum. It can be seen that the present invention uses a mathematical optimization method to determine the target comminution energy consumption value and obtains the target group of comminution parameters accordingly. This process not only ensures the minimization of comminution energy consumption but also improves the energy utilization efficiency. The present invention obtains the quality of the analyzed comminuted Gynostemma pentaphyllum to obtain the analyzed quality, calculates the product of the analyzed quality and a preset reference ratio to obtain the extraction quality, uses the extraction quality to obtain a pure liquid to be mixed, mixes the analyzed comminuted Gynostemma pentaphyllum with the pure liquid to be mixed to obtain an analyzed Gynostemma pentaphyllum mixed liquid, obtains a set of ultrasonic parameters, where the set of ultrasonic parameters contains multiple groups of ultrasonic parameters, determines a target group of ultrasonic parameters based on the set of ultrasonic parameters and the analyzed Gynostemma pentaphyllum mixed liquid, and uses the target group of ultrasonic parameters and the analyzed Gynostemma pentaphyllum mixed liquid to obtain a target Gynostemma pentaphyllum crude liquid. It can be seen that the present invention improves the extraction efficiency and reduces the energy consumption by correlating the analysis of component content and unit analysis energy consumption, quantifying the extraction efficiency using an extraction evaluation formula, and finally selecting the group of ultrasonic parameters with the highest extraction evaluation value as the target group of ultrasonic parameters. The present invention obtains an initial sieving parameter set, where the initial sieving parameter set contains multiple groups of initial sieving parameters, obtains a target group of sieving parameters based on the initial sieving parameter set, and uses the target group of sieving parameters to sieve the target Gynostemma pentaphyllum crude liquid to obtain a target extract. It can be seen that the present invention screens the optimal sieving parameters through multiple groups of experiments, monitors the saponin content and sieving energy consumption in real time, dynamically adjusts the vibration frequency and amplitude, realizes efficient and accurate sieving operations, improves the extraction efficiency and quality of Gynostemma pentaphyllum components, reduces energy consumption, and has the advantages of high efficiency, energy saving, and precision.Therefore, the present invention can improve the accuracy and efficiency of separating the components of Gynostemma pentaphyllum. Description of the Drawings

[0019] Figure 1 It is a schematic flowchart of a method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination provided by an embodiment of the present invention; Figure 2 It is a functional module diagram of a system for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination provided by an embodiment of the present invention; Figure 3 It is a schematic structural diagram of an electronic device for implementing the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination provided by an embodiment of the present invention.

[0020] Description of the reference numerals: 1, electronic device; 10, processor; 11, memory; 12, bus.

[0021] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed Embodiments

[0022] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0023] The embodiments of the present application provide a method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination. The execution subject of the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiments of the present application. In other words, the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0024] Referring to Figure 1 As shown, it is a schematic flowchart of a method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination provided by an embodiment of the present invention. In this embodiment, the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination includes: S1. Obtain an initial Gynostemma pentaphyllum set, and obtain a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set.

[0025] It can be understood that the initial Gynostemma pentaphyllum set refers to a collection of Gynostemma pentaphyllum plant samples collected from the natural environment, and these samples are the raw materials used for subsequent experiments after preliminary processing. In order to ensure the consistency of subsequent experiments, Gynostemma pentaphyllum plants from the same origin should be selected to reduce the component changes caused by environmental differences and ensure that the sample quality is as consistent as possible. For example, this goal can be achieved by picking the same parts of Gynostemma pentaphyllum plants to ensure that the sample quality is as consistent as possible.

[0026] Further, obtaining the target gynostemma set based on the initial gynostemma set includes performing the following operations on each initial gynostemma in the initial gynostemma set: obtaining the saponin content of the initial gynostemma, and determining whether the saponin content is within a preset content range; after confirming that the saponin content is within the content range, using the initial gynostemma as a pre-screened gynostemma; summarizing the pre-screened gynostemmas to obtain a pre-screened gynostemma set; using preset comminution parameters to perform a comminution operation on the pre-screened gynostemma set to obtain a pre-comminuted gynostemma set; and using a pre-constructed screening unit and a preset screening particle size range to screen the pre-comminuted gynostemma set to obtain the target gynostemma set.

[0027] It should be understood that the initial gynostemma refers to a gynostemma plant sample collected from the natural environment and preliminarily processed. The content range is a saponin content range artificially set according to the experimental target requirements, and is used to screen the initial gynostemmas that meet the requirements to ensure the efficiency of the extraction or production process and the stability of the product quality. Obtaining the saponin content of the initial gynostemma, and confirming the initial gynostemma with the saponin content within the content range as a pre-screened gynostemma. The pre-screened gynostemma set is a set of initial gynostemmas that meet the screening conditions. Optionally, the high performance liquid chromatography method is used to obtain the saponin content of the initial gynostemma. In addition, the same effect can be achieved by using other technologies, which will not be elaborated here. The embodiments of the present invention aim to extract the saponin components from gynostemma, so raw materials with saponin content meeting the screening conditions are required.

[0028] It is understandable that the crushing parameters are parameters of the crushing equipment for crushing the pre-screened Gynostemma pentaphyllum, which are artificially set according to the particle size interval required for the pre-crushed Gynostemma pentaphyllum set, and the pre-crushed Gynostemma pentaphyllum set is the Gynostemma pentaphyllum set crushed using the crushing parameters. The crushing operation refers to the process of using a crushing device to transform the pre-screened Gynostemma pentaphyllum set from a larger block or granular state to a finer granular or powdered state. Optionally, the crushing operation is performed on the pre-screened Gynostemma pentaphyllum set using a FW-100 high-speed universal crusher as a crushing device. In addition, the same effect can be achieved using other types of crushers, which will not be repeated here. Generally speaking, there may be uneven particle size after actual crushing. In order to obtain the target Gynostemma pentaphyllum set required for subsequent experiments, this goal is achieved by setting the screening particle size interval. The screening particle size interval is an artificially set target particle size range, which is used to screen out the pre-crushed Gynostemma pentaphyllum within the target particle size range. Exemplarily, the screening particle size interval is set to 2 mm to 3 mm. Optionally, the pre-crushed Gynostemma with a particle size interval of 2 mm to 3 mm can be obtained by using a screening device. The specific implementation method is as follows: two layers of screens need to be set for the screening device. The aperture of the first layer of screens is 3 mm, which is used to screen out pre-crushed Gynostemma greater than 3 mm. The aperture of the second layer of screens is 2 mm, which is used to screen out pre-crushed Gynostemma less than 2 mm. Through the screening device, the pre-crushed Gynostemma between 2 mm and 3 mm is retained between the two layers of screens, and the pre-crushed Gynostemma set retained between the two layers of screens is confirmed as the target Gynostemma set. Optionally, the screening of the pre-crushed Gynostemma set can be achieved using the S49 series screening device. The embodiment of the present invention improves the consistency of the quality of Gynostemma samples by preferentially selecting Gynostemma plants from the same origin, reduces the impact of environmental differences or sample quality fluctuations on the experimental results, and thus improves the repeatability and reliability of the experiment. By screening out target Gynostemma pentaphyllum with high saponin content and appropriate particle size, the efficiency of the subsequent extraction process and the purity of the extract can be improved.

[0029] S2. Obtain a crushing parameter set, wherein the crushing parameter set includes a plurality of crushing parameter groups, count the number of crushing parameter groups in the crushing parameter set to obtain the number of crushing parameter groups, and extract a Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set using the number of crushing parameter groups and a preset extraction number.

[0030] It is understood that the crushing parameter group refers to a series of parameters used to control the crushing equipment during the crushing of Gynostemma pentaphyllum, and the crushing parameter group will affect the crushing particle size and crushing energy consumption value. The crushing parameter group includes but is not limited to crushing speed, crushing pressure, and crushing time. The crushing parameter set is a collection of multiple different crushing parameter groups.

[0031] It should be explained that the extraction of the Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set by using the number of the crushing parameter groups and the preset extraction quantity includes: obtaining the mass of the target Gynostemma pentaphyllum set to get the total weight of Gynostemma pentaphyllum, and calculating and analyzing the sample threshold based on the total weight of Gynostemma pentaphyllum, the number of the crushing parameter groups, the extraction quantity and a pre-constructed threshold calculation formula. The threshold calculation formula is as follows: , where represents the analyzed sample threshold, represents the total weight of Gynostemma pentaphyllum, represents the number of the crushing parameter groups, represents the extraction quantity; obtaining the weight of the analyzed sample based on the analyzed sample threshold, and extracting a plurality of analyzed Gynostemma pentaphyllum samples from the target Gynostemma pentaphyllum set based on the weight of the analyzed sample, wherein the weight of the analyzed Gynostemma pentaphyllum sample is the weight of the analyzed sample; obtaining the Gynostemma pentaphyllum experimental group set based on the plurality of analyzed Gynostemma pentaphyllum samples, the number of the crushing parameter groups and the extraction quantity, wherein the Gynostemma pentaphyllum experimental group set contains a plurality of Gynostemma pentaphyllum experimental groups, and each Gynostemma pentaphyllum experimental group contains a plurality of analyzed Gynostemma pentaphyllum samples.

[0032] It can be understood that the analyzed sample threshold is a weight threshold calculated according to the total weight of Gynostemma pentaphyllum, the number of the crushing parameter groups and the number of the analyzed Gynostemma pentaphyllum samples in the Gynostemma pentaphyllum experimental group, and is used to determine the weight upper limit of each analyzed Gynostemma pentaphyllum sample. The weight of the analyzed sample is the specific weight of each analyzed Gynostemma pentaphyllum sample determined based on the analyzed sample threshold. The analyzed Gynostemma pentaphyllum sample is a Gynostemma pentaphyllum sample for experimental analysis extracted from the target Gynostemma pentaphyllum set according to the weight of the analyzed sample, and its weight is equal to the weight of the analyzed sample.

[0033] Exemplarily, assuming that the total weight of Gynostemma pentaphyllum is 500 g, there are 4 groups of crushing parameter groups, each group of crushing parameter groups corresponds to a Gynostemma pentaphyllum experimental group, each Gynostemma pentaphyllum experimental group requires 5 analyzed Gynostemma pentaphyllum samples, so 4 Gynostemma pentaphyllum experimental groups are needed, and the extraction quantity is 5. Thus, the analyzed sample threshold can be obtained as 25 g by using the threshold calculation formula. The weight of the analyzed sample is a weight not exceeding the analyzed sample threshold of 25 g. If 25 g is used as the weight of the analyzed sample, then the weight of each analyzed Gynostemma pentaphyllum sample is 25 g. The embodiment of the present invention improves the accuracy of Gynostemma pentaphyllum sample allocation and the standardization degree of experimental operation through scientific calculation and systematic planning.

[0034] S3. Obtaining a crushing curve set based on the Gynostemma pentaphyllum experimental group set and the crushing parameter set, and obtaining a target crushing curve based on the crushing curve set.

[0035] It should be explained that obtaining the comminution curve set based on the Gynostemma pentaphyllum experimental group set and the comminution parameter set, and obtaining the target comminution curve based on the comminution curve set includes: in a combined form, using the Gynostemma pentaphyllum experimental group set and the comminution parameter set to obtain a plurality of comminution nodes, where a comminution node includes a Gynostemma pentaphyllum experimental group and a comminution parameter group; performing the following operations on each comminution node among the plurality of comminution nodes: using the comminution parameter group corresponding to the comminution node to perform a comminution operation on each analyzed Gynostemma pentaphyllum sample in the Gynostemma pentaphyllum experimental group corresponding to the comminution node, obtaining a comminuted Gynostemma pentaphyllum set, identifying the comminution particle size of each comminuted Gynostemma pentaphyllum in the comminuted Gynostemma pentaphyllum set, obtaining a comminution particle size set, where the comminution particle size set contains a plurality of comminution particle sizes; obtaining a reference particle size based on the comminution parameter group, and obtaining an updated comminution particle size based on the reference particle size and the comminution particle size set; obtaining a comminution energy consumption value based on the comminution parameter group corresponding to the comminution node, associating the updated comminution particle size and the comminution energy consumption value to obtain a fitting coordinate point, summarizing the fitting coordinate points to obtain a fitting coordinate point set; mapping all the fitting coordinate points in the fitting coordinate point set to a pre-constructed coordinate system to obtain a mapped coordinate point set, and using the pre-constructed fitting model set and the mapped coordinate point set to obtain a comminution curve set; performing the following operations on each comminution curve in the comminution curve set: obtaining a comminution distance evaluation value based on the comminution curve and a pre-constructed distance evaluation value calculation formula, where the distance evaluation value calculation formula is as follows: , where represents the comminution distance evaluation value, represents that there are in total mapped coordinate points in the mapped coordinate point set, represents the comminution particle size of the th fitting coordinate point, and represents the fitting value of the comminution curve at the th comminution energy consumption value; summarizing the comminution distance evaluation values to obtain a comminution distance evaluation value set, obtaining the minimum comminution distance evaluation value in the comminution distance evaluation value set, and taking the comminution curve corresponding to the minimum comminution distance evaluation value as the target comminution curve.

[0036] Exemplarily, assume that there are 4 sets of crushing parameters in the crushing parameter set and 4 Gynostemma pentaphyllum experimental groups. Each Gynostemma pentaphyllum experimental group includes 5 analyzed Gynostemma pentaphyllum samples. In combination, 4 crushing nodes can be obtained by using the Gynostemma pentaphyllum experimental group set and the crushing parameter set. And each crushing node includes a Gynostemma pentaphyllum experimental group and a set of crushing parameters. Taking one of the crushing nodes as an example, the 5 analyzed Gynostemma pentaphyllum samples in the Gynostemma pentaphyllum experimental group are respectively crushed by using the set of crushing parameters to obtain a crushed Gynostemma pentaphyllum set. By identifying the crushing strength, a crushed particle size set is obtained. Here, the crushed particle size set contains 5 crushed particle sizes. Optionally, the laser particle size detection technology can be used to identify the crushed particle size of the crushed Gynostemma pentaphyllum set, which is the prior art and will not be elaborated here.

[0037] Further, obtaining the updated crushed particle size based on the reference particle size and the crushed particle size set includes: judging whether the crushed particle size set meets the pre-constructed particle size evaluation condition, where the particle size evaluation condition is as follows: , where represents the th crushed particle size in the crushed particle size set, represents the number of crushed particle sizes in the crushed particle size set, represents the reference particle size, represents the preset particle size difference threshold; if the particle size evaluation condition is satisfied, calculate the mean value of the crushed particle sizes in the crushed particle size set, and use the mean value as the updated crushed particle size. Otherwise, obtain the updated Gynostemma pentaphyllum experimental group, use the updated Gynostemma pentaphyllum experimental group as the Gynostemma pentaphyllum experimental group and return to the step of performing the crushing operation on each analyzed Gynostemma pentaphyllum sample in the Gynostemma pentaphyllum experimental group corresponding to the crushing node by using the crushing parameter set corresponding to the crushing node until the updated crushed particle size is obtained.

[0038] It can be understood that the reference particle size is a particle size standard confirmed based on the set of crushing parameters and is a benchmark value for evaluating the crushing effect. The updated crushed particle size is the newly calculated mean value of the crushed particle sizes. The crushing process is optimized by evaluating the difference between the crushed particle size set and the reference particle size. The particle size difference threshold is a maximum allowable particle size deviation value set artificially and is used to judge whether the difference between the crushed particle size set and the reference particle size is within an acceptable range. Generally, the particle size difference threshold can be used to evaluate the quality of the crushing result and improve the consistency of the crushing process. If the crushing result exceeds the particle size difference threshold, it indicates that there may be problems in the crushing process and further inspection or adjustment is needed. Therefore, it is necessary to obtain the updated Gynostemma pentaphyllum experimental group, use the updated Gynostemma pentaphyllum experimental group as the Gynostemma pentaphyllum experimental group and re-obtain the set of crushing parameters corresponding to this crushing parameter set until the difference between the judged crushed particle size set and the reference particle size in the set of crushing parameters is within the particle size difference threshold.

[0039] It should be understood that the crushing energy consumption value is obtained based on the crushing parameter set. Exemplarily, the known crushing parameter set includes crushing speed, crushing pressure, and crushing time. The crushing power corresponding to the crushing equipment is obtained according to the crushing speed and crushing pressure. Based on the crushing power and crushing time, the crushing energy consumption value required for crushing using the crushing parameter set can be obtained. The crushing energy consumption value is associated with the corresponding updated crushing particle size to obtain a fitting coordinate point. In the above example, 4 corresponding fitting coordinate points can be obtained from 4 groups of crushing parameter sets, and a fitting coordinate point set is composed of the 4 fitting coordinate points. Generally, in the actual experimental process, multiple different groups of crushing parameter sets are usually set. The multiple different groups of crushing parameter sets provide a wider range of data points, and these data points can relatively comprehensively cover the trend of the crushing particle size changing with the crushing energy consumption value, providing a more accurate basis for subsequent model fitting.

[0040] It can be understood that all the fitting coordinate points in the fitting coordinate point set are mapped into a pre-constructed coordinate system to obtain a mapped coordinate point set. The fitting model set contains multiple fitting models. The mapped coordinate point set is fitted into a crushing curve using the fitting models in the fitting model set to obtain multiple crushing curves. The fitting model set includes, but is not limited to, polynomial fitting models, non-linear regression models, and Bayesian regression models. The crushing distance evaluation value corresponding to each crushing curve is obtained using the distance evaluation value calculation formula. The crushing distance evaluation value is a quantitative index for measuring the difference between the crushing curve and the mapped coordinate point set. The smaller the crushing distance evaluation value, the smaller the fitting error between the corresponding crushing curve and the mapped coordinate point set in all the crushing curve sets, and the closest to the actual data in the geometric sense. The crushing curve corresponding to the smallest crushing distance evaluation value is used as the target crushing curve. In the embodiment of the present invention, multiple mapped coordinate points are used for fitting and distance evaluation, and the crushing curve with the smallest error is selected as the target curve, which improves the fitting accuracy and reduces the deviation between the crushing curve and the actual data. Optionally, a two-dimensional coordinate system is used as the coordinate system.

[0041] S4. Extract the target crushing parameter set from the target crushing curve, extract the analyzed Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and crush the analyzed Gynostemma pentaphyllum sample using the target crushing parameter set to obtain the analyzed crushed Gynostemma pentaphyllum.

[0042] It should be explained that extracting the target crushing parameter group from the target crushing curve includes: obtaining the crushing particle size evaluation interval, and identifying one or more initial evaluation curve segments in the target crushing curve based on the crushing particle size evaluation interval; performing the following operations on each initial evaluation curve in the one or more initial evaluation curve segments: identifying the first energy consumption value and the second energy consumption value in the initial evaluation curve segment, calculating the mean value of the first energy consumption value and the second energy consumption value to obtain the evaluation mean value, summarizing the evaluation mean values to obtain an evaluation mean value set, and using the evaluation mean value set to identify the target evaluation curve segment in the one or more initial evaluation curve segments, where the target evaluation curve segment is the initial evaluation curve segment corresponding to the smallest evaluation mean value in the evaluation mean value set; confirming the target crushing energy consumption value based on the target evaluation curve segment, where the target crushing energy consumption value is as follows: , , where, represents the target crushing energy consumption value, represents the target evaluation curve segment, represents the crushing energy consumption value, respectively represent the first energy consumption value and the second energy consumption value corresponding to the target evaluation curve segment, represents taking the minimum value, represents that the target evaluation curve at the point the second derivative value at; obtaining the target crushing parameter group based on the target crushing energy consumption value.

[0043] It can be understood that the crushing particle size evaluation interval is a specific particle size range artificially set according to subsequent extraction processes or application requirements, and it is considered that the crushing particle size within this interval can meet the specific requirements of subsequent processes for particle size. Generally, the target crushing curve usually reflects the relationship between the crushing particle size and the crushing energy consumption value, where the crushing energy consumption value is the independent variable and the crushing particle size is the dependent variable, and this relationship is usually not a simple linear or monotonic relationship. For example, when the crushing particle size approaches a certain critical value, the crushing energy consumption value may suddenly increase or decrease. It is precisely because of this non-monotonicity of the crushing curve that the target crushing curve may contain multiple local extreme points, monotonic intervals, and flat regions. Therefore, in the target crushing curve, multiple initial evaluation curve segments can be identified according to the crushing particle size evaluation interval.

[0044] It should be understood that in each initial evaluation curve segment, a first energy consumption value and a second energy consumption value can be identified. The first energy consumption value and the second energy consumption value respectively represent the minimum crushing energy consumption value and the maximum crushing energy consumption value of the initial evaluation curve segment. The average value of the minimum crushing energy consumption value and the maximum crushing energy consumption value is taken to obtain an evaluation average value. The evaluation average value reflects the average level of the crushing energy consumption value in the corresponding initial evaluation curve segment. Taking the initial evaluation curve segment corresponding to the smallest evaluation average value among the concentrated evaluation average values as the target evaluation curve segment, on the premise of meeting the particle size requirements of the subsequent process, the initial evaluation curve segment with the smallest evaluation average value means the smallest crushing energy consumption value in this segment, thus realizing the minimization of energy consumption during crushing.

[0045] It should be understood that the target crushing energy consumption value refers to the optimal crushing energy consumption value confirmed in the target evaluation curve segment, which represents the highest point of energy consumption efficiency in the crushing process on the premise of meeting the crushing particle size requirements. Generally, in the target evaluation curve segment, the relationship between the crushing particle size and the crushing energy consumption value usually shows a non-linear change curve. The inflection point usually corresponds to the optimal balance point of energy consumption efficiency, that is, the maximum crushing effect can be achieved with unit energy consumption. Therefore, the process of confirming the target crushing energy consumption value is as follows: First, judge whether there is an inflection point in the target evaluation curve segment. If there is an inflection point, take the crushing energy consumption value corresponding to the inflection point as the target crushing energy consumption value. Otherwise, take the smallest crushing energy consumption value in the target evaluation curve segment as the target crushing energy consumption value.

[0046] It can be understood that the target crushing particle size can be retrieved in the target evaluation curve segment using the target crushing energy consumption value. Exemplarily, given multiple crushing parameter groups (including crushing speed, crushing pressure, and crushing time), multiple sets of crushing energy consumption values can be obtained using the multiple crushing parameter groups. The crushing speed, crushing pressure, crushing time, and crushing energy consumption value of each group are associated, and a prediction surface of the crushing energy consumption value can be obtained using a pre-constructed multiple linear regression model. Based on the known target crushing energy consumption value, the corresponding crushing speed, crushing pressure, and crushing time can be deduced backward in the prediction surface of the crushing energy consumption value. The backward deduction process is achievable by existing technologies and will not be elaborated here. The analyzed and crushed Gynostemma pentaphyllum is a Gynostemma pentaphyllum sample used for subsequent crude liquid extraction after being crushed using the target crushing parameter group.

[0047] S5. Obtain and analyze the quality of the crushed and ground Gynostemma pentaphyllum to obtain the analyzed quality, calculate the product of the analyzed quality and a preset reference ratio to obtain the extraction quality, use the extraction quality to obtain the pure liquid to be mixed, and mix the crushed and ground Gynostemma pentaphyllum with the pure liquid to be mixed to obtain the Gynostemma pentaphyllum mixed liquid; it can be understood that the reference ratio is a ratio value artificially set according to process requirements during the extraction process of Gynostemma pentaphyllum, and is used to calculate the extraction quality through this ratio. The extraction quality is a reference value used to determine how much volume of the pure liquid to be mixed needs to be obtained. The pure liquid to be mixed refers to the liquid used to mix with the crushed and ground Gynostemma pentaphyllum, usually a solvent that has been purified, and the mass of the pure liquid to be mixed is the extraction quality. The Gynostemma pentaphyllum mixed liquid refers to the liquid obtained by mixing the crushed and ground Gynostemma pentaphyllum with the pure liquid to be mixed.

[0048] Exemplarily, the quality of the crushed and ground Gynostemma pentaphyllum is 5 kg, and in combination with the existing process, it is determined that 30% water needs to be added to the crushed and ground Gynostemma pentaphyllum. Therefore, the extraction quality is 1.5 kg. Mix 1.5 kg of water and the Gynostemma pentaphyllum to obtain the Gynostemma pentaphyllum mixed liquid.

[0049] S6. Obtain an ultrasonic parameter set, where the ultrasonic parameter set contains multiple ultrasonic parameter groups, confirm the target ultrasonic parameter group based on the ultrasonic parameter set and the Gynostemma pentaphyllum mixed liquid, and use the target ultrasonic parameter group and the Gynostemma pentaphyllum mixed liquid to obtain the target crude Gynostemma pentaphyllum liquid.

[0050] It can be understood that the ultrasonic parameter group refers to a set of parameters used to control the operation of ultrasonic equipment during the extraction process of the Gynostemma pentaphyllum mixed liquid. These parameters directly affect the extraction efficiency and the quality of the extract. The ultrasonic parameter group includes but is not limited to ultrasonic frequency, ultrasonic power, and extraction time. The ultrasonic parameter set is a collection of multiple different ultrasonic parameter groups. Generally, the ultrasonic parameter group can be obtained by means of artificial setting.

[0051] It should be noted that the target ultrasonic parameter group identified based on the ultrasonic parameter set and the analyzed Gynostemma pentaphyllum mixed solution includes: based on the ultrasonic parameter set, a plurality of mixed solution experimental groups are extracted from the analyzed Gynostemma pentaphyllum mixed solution, where the ultrasonic parameter groups in the ultrasonic parameter set correspond one-to-one with the mixed solution experimental groups in the plurality of mixed solution experimental groups; the following operations are performed on each of the plurality of mixed solution experimental groups: within a preset extraction period, the ultrasonic parameter group in the ultrasonic parameter set is used to perform a crude liquid extraction operation on the mixed solution experimental group corresponding to the ultrasonic parameter group to obtain a Gynostemma pentaphyllum crude liquid; the content of the saponin component in the Gynostemma pentaphyllum crude liquid is obtained to obtain the analyzed component content; the analyzed energy consumption is obtained based on the ultrasonic parameter group, and the unit analyzed energy consumption is obtained by using the analyzed energy consumption and the extraction period; the analyzed component content and the unit analyzed energy consumption are analyzed and associated to obtain an analysis node; an extraction evaluation value is calculated based on the analysis node and a pre-constructed extraction evaluation formula, where the extraction evaluation formula is as follows: , where, represents the extraction evaluation value, represents the weight of the analyzed component content, represents the analyzed component content corresponding to the analysis node, represents the weight of the unit analyzed energy consumption, represents the unit analyzed energy consumption corresponding to the analysis node; the extraction evaluation values are summarized to obtain an extraction evaluation value set; the maximum extraction evaluation value in the extraction evaluation value set is obtained, and the ultrasonic parameter group corresponding to the maximum extraction evaluation value is used as the target ultrasonic parameter group.

[0052] Exemplarily, it is assumed that there are 5 ultrasonic parameter groups in the ultrasonic parameter set, and 5 mixed solution experimental groups are extracted from the analyzed Gynostemma pentaphyllum mixed solution based on the 5 ultrasonic parameter groups, and one ultrasonic parameter group corresponds to one mixed solution experimental group.

[0053] It should be understood that the crude liquid extraction refers to the process of dissolving the gynostemma components in the analyzed gynostemma mixture into the pure liquid to be mixed by using the ultrasonic parameter set, so as to extract the liquid containing active ingredients (such as gypenosides). The gynostemma crude liquid is the liquid containing active ingredients and impurities formed after being processed by the target ultrasonic parameter set. Exemplarily, if the extraction period is set to 1 hour, within 1 hour, the crude liquid extraction operation is performed on the mixture experimental group by using the ultrasonic parameter set. When the extraction period ends, the gynostemma crude liquid is obtained, and the content of the saponin component in the gynostemma crude liquid is obtained to get the analyzed component content. The analyzed component content reflects the extraction effect, and the higher the content, the better the extraction effect. Optionally, the high performance liquid chromatography method can be used to obtain the content of the saponin component in the gynostemma crude liquid. In addition, the same effect can be achieved by using other technologies, which will not be elaborated here. The analyzed energy consumption is obtained by using the ultrasonic parameter set, and the unit analyzed energy consumption can be obtained by using the extraction period. The unit energy consumption is the ratio of the analyzed energy consumption to the extraction period. Generally, the technology of using ultrasonic for crude liquid extraction is the prior art, which will not be elaborated here.

[0054] It can be understood that the analyzed node refers to a data record that combines the analyzed component content in the gynostemma crude liquid with the corresponding unit analyzed energy consumption under a specific ultrasonic parameter set, reflecting the relationship between the analyzed component content and the unit analyzed energy consumption under specific conditions. Five analyzed nodes can be obtained from 5 sets of ultrasonic parameter sets. Based on the five analyzed nodes and the extraction evaluation formula, five extraction evaluation values are calculated. The extraction evaluation value is a comprehensive index used to quantify the efficiency of the extraction process, reflecting the balance between the extraction effect and the energy consumption under specific ultrasonic parameters. Among them, the analyzed component content and the unit analyzed energy consumption respectively represent the influence of different factors on the extraction efficiency. In order to consider the influence degree of each factor, different weights can be assigned to each factor. These weights can be set artificially and adjusted in combination with the influence degree on the extraction efficiency. For example, if the extraction efficiency is mainly affected by the analyzed component content, the weight of the analyzed component content should be set to a larger value; on the contrary, if the energy consumption has a greater influence on the extraction efficiency, the weight of the unit analyzed energy consumption should be increased. When the extraction evaluation value is the largest, it means that under the current ultrasonic parameters, the extraction effect and the energy consumption efficiency reach the optimal balance. Therefore, the ultrasonic parameter set corresponding to the largest extraction evaluation value is used as the target ultrasonic parameter set. The target gynostemma crude liquid is obtained by using the target ultrasonic parameter set and the analyzed gynostemma mixture. The target gynostemma crude liquid refers to the liquid containing the effective gynostemma components extracted from the analyzed gynostemma mixture by using the target ultrasonic parameter set. By correlating the analyzed component content and the unit analyzed energy consumption in the embodiments of the present invention, quantifying the extraction efficiency by using the extraction evaluation formula, and finally selecting the ultrasonic parameter set with the highest extraction evaluation value as the target ultrasonic parameter set, the extraction efficiency can be improved and the energy consumption can be reduced.

[0055] S7. Obtain an initial screening parameter set, where the initial screening parameter set contains multiple initial screening parameter groups. Based on the initial screening parameter set, obtain a target screening parameter group, and use the target screening parameter group to screen the target crude Gynostemma pentaphyllum liquid to obtain a target extract.

[0056] It can be understood that the initial screening parameter group refers to a set of parameters used to control the operation of the screening equipment during the screening process. These parameters jointly determine the efficiency and effect of the screening process. The initial screening parameter group includes, but is not limited to, vibration frequency and vibration amplitude. The initial screening parameter set is a set of multiple different initial screening parameter groups.

[0057] Specifically, the obtaining of the target screening parameter group based on the initial screening parameter set includes: based on the initial screening parameter set, extract multiple experimental groups of crude Gynostemma pentaphyllum liquid from the target crude Gynostemma pentaphyllum liquid, where the initial screening parameter groups in the initial screening parameter set correspond one-to-one with the experimental groups of crude Gynostemma pentaphyllum liquid in the multiple experimental groups of crude Gynostemma pentaphyllum liquid; perform the following operations on each experimental group of crude Gynostemma pentaphyllum liquid in the multiple experimental groups of crude Gynostemma pentaphyllum liquid: use the initial screening parameter group in the initial screening parameter set to perform a screening operation on the experimental group of crude Gynostemma pentaphyllum liquid corresponding to the initial screening parameter group, and record the time in real time with the time when the screening operation is performed on the experimental group of crude Gynostemma pentaphyllum liquid as the starting time to obtain the monitoring time; use a preset detection time interval and the experimental group of crude Gynostemma pentaphyllum liquid during the screening operation to obtain the detected saponin content; when the detected saponin content is greater than or equal to the preset content threshold, obtain the Gynostemma pentaphyllum extract, and use the monitoring time as the end time of screening; otherwise, after confirming that the monitoring time reaches the preset pre-screening end time, obtain the Gynostemma pentaphyllum extract; use a pre-constructed detection unit to obtain the saponin component content in the Gynostemma pentaphyllum extract to obtain the saponin component content; obtain the screening duration based on the pre-screening end time or the end time of screening and the starting time; obtain the screening energy consumption based on the screening duration; obtain the target saponin component content based on the detected saponin content or the saponin component content; associate the screening duration, the screening energy consumption, and the target saponin component content to obtain a screening evaluation node; calculate a screening evaluation value based on the screening evaluation node and a pre-constructed screening evaluation formula, where the screening evaluation formula is as follows: , where represents the screening evaluation value, represents the weight of the screening duration, represents the target saponin component content, represents the screening duration, represents the weight of the screening energy consumption, represents the screening energy consumption; summarize the screening evaluation values to obtain a screening evaluation value set; obtain the maximum screening evaluation value in the screening evaluation value set, and use the initial screening parameter group corresponding to the maximum screening evaluation value as the target screening parameter group.

[0058] Exemplarily, there are 10 groups of initial screening parameters in the initial screening parameter set. Based on the 10 groups of initial screening parameters, 10 experimental groups of Gynostemma pentaphyllum crude liquid are extracted from the target Gynostemma pentaphyllum crude liquid. Among them, one group of initial screening parameters corresponds to one experimental group of Gynostemma pentaphyllum crude liquid. The acquisition method of the experimental group of Gynostemma pentaphyllum crude liquid is the same as that of the experimental group of the mixed liquid, which will not be elaborated here.

[0059] It should be understood that the monitoring time refers to the time point that is recorded in real time and continuously tracked from the moment when the screening operation on the experimental group of Gynostemma pentaphyllum crude liquid starts. The detection time interval refers to the time interval between two adjacent detections of the saponin content in the experimental group of Gynostemma pentaphyllum crude liquid during the screening operation. The screening operation refers to the process of removing impurities in the Gynostemma pentaphyllum crude liquid by using the screening parameter set to obtain the target extract. The main purpose of screening is to separate the impurity components in the Gynostemma pentaphyllum crude liquid and improve the purity of the liquid. The target extract is the liquid product obtained by screening the Gynostemma pentaphyllum crude liquid with the target screening parameter set. This liquid is rich in the target saponin component, and some impurities are removed through the screening operation, meeting the quality requirements for subsequent analysis, detection, or application.

[0060] Exemplarily, it is assumed that the screening operation starts at 9:30:00 am on a certain day. Taking 9:30:00 as the starting time of the time, the detection time interval is set to 10 minutes, and the pre-screening end time is 9:55:00 am on the same day. After the monitoring time reaches 9:40:00 am on the same day, the saponin content of the experimental group of Gynostemma pentaphyllum crude liquid during the screening operation is detected to obtain the first detected saponin content. If the first detected saponin content is greater than or equal to the content threshold, the screening end time is 9:40:00 of the monitoring time, and the screening duration is 10 minutes. The first detected saponin content is used as the content of the target saponin component. Otherwise, after the monitoring time reaches 9:50:00 am on the same day, the saponin content of the experimental group of Gynostemma pentaphyllum crude liquid during the screening operation is detected again to obtain the second detected saponin content. If the second detected saponin content is greater than or equal to the content threshold, the screening end time is 9:50:00 of the monitoring time, and the screening duration is 20 minutes. The second detected saponin content is used as the content of the target saponin component. Otherwise, after the monitoring time reaches the pre-screening end time of 9:55:00 am on the same day, the Gynostemma pentaphyllum extract is obtained, and the saponin component content in the Gynostemma pentaphyllum extract is obtained by using the detection unit to obtain the saponin component content. The saponin component content is used as the content of the target saponin component, and the screening duration is 25 minutes. Optionally, the high performance liquid chromatography method can be used to obtain the saponin component content in the experimental group of Gynostemma pentaphyllum crude liquid and the Gynostemma pentaphyllum extract during the screening operation. In addition, the same effect can be achieved by using other technologies, which will not be elaborated here.

[0061] It is understandable that the screening evaluation node is an evaluation node formed by comprehensively considering three key factors, namely, the screening duration, the screening energy consumption, and the content of the target saponin component, during the screening operation. The screening evaluation value is used to quantify and compare the comprehensive efficiency of different initial screening parameter groups in the screening operation. The screening energy consumption and the content of the target saponin component respectively represent the influence of different factors on the screening efficiency. In order to consider the influence degree of each factor, different weights can be assigned to each factor. These weights can be set artificially and adjusted in combination with the influence degree on the screening efficiency. For example, if the screening efficiency is mainly affected by the screening energy consumption, the weight of the screening energy consumption should be set to a larger value; conversely, if the content of the target saponin component has a greater influence on the screening efficiency, the weight of the content of the target saponin component should be increased. The higher the screening evaluation value, the higher the extraction efficiency of the target saponin component under the screening conditions, and at the same time, the lower the time and energy consumption costs of screening. Therefore, the initial screening parameter group corresponding to the maximum screening evaluation value is used as the target screening parameter group. The target Gynostemma pentaphyllum crude liquid is screened using the target screening parameter group to obtain the target extract. Through systematic optimization of the screening parameters in the embodiments of the present invention, dynamically monitoring the saponin content and combining the screening time and energy consumption to evaluate the screening efficiency, it is ensured that while meeting the requirements of the saponin content, an efficient and energy-saving screening operation is achieved, and finally the optimal screening parameter group is determined to improve the quality and production efficiency of the Gynostemma pentaphyllum extract.

[0062] Further, the screening the target Gynostemma pentaphyllum crude liquid using the target screening parameter group to obtain the target extract includes: within a preset screening period, obtaining the material inlet and outlet ratio using a pre-constructed monitoring unit and a preset detection frequency. When the material inlet and outlet ratio is less than a preset ratio threshold, extracting the target vibration frequency and the target vibration amplitude from the target screening parameter group; calculating and updating the vibration frequency using the material inlet and outlet ratio and the target vibration frequency, where the updated vibration frequency is expressed as: , where represents the updated vibration frequency, represents the target vibration frequency, represents the adjustment step size of the vibration frequency, represents the material inlet and outlet ratio, represents the initial material quantity during screening, represents the remaining material quantity during screening, represents the ratio threshold; calculating and updating the vibration amplitude using the material inlet and outlet ratio and the target vibration amplitude; updating the target screening parameter group using the updated vibration frequency and the updated vibration amplitude to obtain an updated screening parameter group, performing a screening operation on the target Gynostemma pentaphyllum crude liquid using the updated screening parameter group to obtain an updated material inlet and outlet ratio, and constructing a screening operation plan based on the updated material inlet and outlet ratio, where the screening operation plan is as follows: , , where represents the updated material in - out ratio, represents the ratio threshold, represents the parameter set set when performing a sieving operation on the target crude Gynostemma pentaphyllum liquid, and this parameter set is an updated sieving parameter set or a target sieving parameter set, represents the target sieving parameter set, represents the updated sieving parameter set; based on the sieving operation plan and the Gynostemma pentaphyllum liquid experimental group, the target extract is obtained.

[0063] It can be understood that the sieving period refers to a specific time range preset during the sieving operation, which is used to execute and monitor the entire process of the sieving operation. During the sieving period, through the monitoring unit and the preset detection frequency, parameters such as the material in - out ratio during the sieving process are tracked to evaluate the sieving effect and optimize the operation conditions. The monitoring frequency is the frequency of obtaining the material in - out ratio using the monitoring unit within a specific time period. The material in - out ratio is the ratio between the amount of material passing through during sieving and the initial amount of material during sieving The amount of material passing through is the remaining amount of material after sieving and the initial amount of material during sieving The absolute difference between them reflects the passing ability of the sieve mesh for materials. A higher material in - out ratio usually means good permeability of the sieve mesh and high sieving efficiency. The initial amount of material during sieving refers to the amount of material at the start of sieving, and the remaining amount of material after sieving refers to the amount of material that has not passed through the sieve mesh after sieving. The ratio threshold is a reference value set according to the normal sieving efficiency, which is used to judge whether the sieve mesh is working properly. For example, if the ratio threshold is 80%, it indicates that the sieve mesh can pass 80% of the materials under ideal conditions, then the actual ratio should be close to or higher than this value. If the material in - out ratio is greater than or equal to the ratio threshold, it indicates that the efficiency of the material passing through the sieve mesh meets the expectations and the sieve mesh is working properly; otherwise, it indicates that the sieve mesh may be blocked. Optionally, the remaining amount of material during sieving and the initial amount of material during sieving can be obtained by using the flow sensor method, which is prior art and will not be elaborated here.

[0064] It should be understood that when the detected ratio of incoming and outgoing materials is less than the ratio threshold, the target vibration frequency and the target vibration amplitude are extracted from the target sieving parameter group. The target vibration frequency refers to the optimal frequency of the sieve mesh vibration, which determines the vibration speed and efficiency of the sieve mesh. The target vibration amplitude refers to the optimal amplitude of the sieve mesh vibration, which affects the movement state of the materials on the sieve mesh. The updated vibration frequency is calculated using the ratio of incoming and outgoing materials and the target vibration frequency. The updated vibration frequency is the vibration frequency adjusted according to the ratio of incoming and outgoing materials, and is a new vibration frequency value calculated based on the current ratio of incoming and outgoing materials and the target vibration frequency. Its purpose is to improve the sieving efficiency of the sieve mesh or reduce blockage by adjusting the vibration frequency. The method for obtaining the updated vibration amplitude is the same as that for obtaining the updated vibration frequency, and will not be elaborated here. The updated vibration amplitude is the vibration amplitude adjusted according to the ratio of incoming and outgoing materials, and optimizes the movement state of the materials on the sieve mesh by adjusting the vibration amplitude, thereby improving the sieving efficiency or reducing material accumulation. The adjustment step of the vibration frequency refers to the change amount each time the vibration frequency is adjusted, and is used to control the adjustment accuracy and speed of the vibration frequency. Optionally, in practical applications, the adjustment step of the vibration frequency can be set through experiments and experience.

[0065] It can be understood that updating the sieving parameter group means updating the initial vibration frequency and the initial vibration amplitude in the target sieving parameter group to the updated vibration frequency and the updated vibration amplitude respectively. Updating the ratio of incoming and outgoing materials means re-obtaining the ratio of materials passing through the sieve mesh after adjustment using the updated vibration frequency and the updated vibration amplitude, and is used to evaluate the efficiency of the current sieving operation. During the sieving period, if it is monitored that the updated ratio of incoming and outgoing materials is less than the ratio threshold, the updated sieving parameter group is calculated and the sieving is performed using the updated sieving parameter group, otherwise the sieving is performed using the target sieving parameter group until the sieving period ends and the target extract is obtained.

[0066] To solve the problems described in the background art, the present invention obtains an initial gynostemma pentaphyllum set and obtains a target gynostemma pentaphyllum set based on the initial gynostemma pentaphyllum set. It can be seen that the present invention improves the consistency of the quality of gynostemma pentaphyllum samples by preferentially selecting gynostemma pentaphyllum plants from the same origin, reduces the influence of environmental differences or sample quality fluctuations on experimental results, and thus improves the repeatability and reliability of experiments. By screening out target gynostemma pentaphyllum with high saponin content and appropriate particle size, the efficiency of the subsequent extraction process and the purity of the extract can be improved. The present invention obtains a set of comminution parameters, wherein the set of comminution parameters contains multiple groups of comminution parameters, counts the number of groups of comminution parameters in the set of comminution parameters to obtain the number of groups of comminution parameters, and uses the number of groups of comminution parameters and a preset extraction number to extract a gynostemma pentaphyllum experimental group set from the target gynostemma pentaphyllum set. It can be seen that the present invention improves the accuracy of gynostemma pentaphyllum sample allocation and the standardization degree of experimental operations through scientific calculation and systematic planning. The present invention obtains a set of comminution curves based on the gynostemma pentaphyllum experimental group set and the set of comminution parameters, and obtains a target comminution curve based on the set of comminution curves. It can be seen that the present invention uses multiple mapping coordinate points for fitting and distance evaluation, selects the comminution curve with the smallest error as the target curve, improves the fitting accuracy, and reduces the deviation between the comminution curve and the actual data. The present invention extracts a target group of comminution parameters from the target comminution curve, extracts an analyzed gynostemma pentaphyllum sample from the target gynostemma pentaphyllum set, and uses the target group of comminution parameters to comminute the analyzed gynostemma pentaphyllum sample to obtain an analyzed comminuted gynostemma pentaphyllum. It can be seen that the present invention uses a mathematical optimization method to determine the target comminution energy consumption value and obtains the target group of comminution parameters accordingly. This process not only ensures the minimization of comminution energy consumption but also improves the energy utilization efficiency. The present invention obtains the quality of the analyzed comminuted gynostemma pentaphyllum to obtain the analyzed quality, calculates the product of the analyzed quality and a preset reference ratio to obtain the extraction quality, uses the extraction quality to obtain the pure liquid to be mixed, mixes the analyzed comminuted gynostemma pentaphyllum with the pure liquid to be mixed to obtain an analyzed gynostemma pentaphyllum mixed liquid, obtains a set of ultrasonic parameters, wherein the set of ultrasonic parameters contains multiple groups of ultrasonic parameters, determines a target group of ultrasonic parameters based on the set of ultrasonic parameters and the analyzed gynostemma pentaphyllum mixed liquid, and uses the target group of ultrasonic parameters and the analyzed gynostemma pentaphyllum mixed liquid to obtain a target crude gynostemma pentaphyllum liquid. It can be seen that the present invention improves the extraction efficiency and reduces the energy consumption by correlating the analysis of component content and unit analysis energy consumption, quantifying the extraction efficiency using an extraction evaluation formula, and finally selecting the group of ultrasonic parameters with the highest extraction evaluation value as the target group of ultrasonic parameters. The present invention obtains an initial sieving parameter set, wherein the initial sieving parameter set contains multiple groups of initial sieving parameters, obtains a target group of sieving parameters based on the initial sieving parameter set, and uses the target group of sieving parameters to sieve the target crude gynostemma pentaphyllum liquid to obtain a target extract. It can be seen that the present invention screens the optimal sieving parameters through multiple groups of experiments, monitors the saponin content and sieving energy consumption in real time, dynamically adjusts the vibration frequency and amplitude, realizes efficient and accurate sieving operations, improves the extraction efficiency and quality of gynostemma pentaphyllum components, reduces energy consumption, and has the advantages of high efficiency, energy saving, and accuracy.Therefore, the present invention can improve the accuracy and efficiency of separating the components of Gynostemma pentaphyllum.

[0067] As Figure 2 shown, it is a functional module diagram of a Gynostemma pentaphyllum component separation system based on ultrasonic-assisted membrane combination provided by an embodiment of the present invention.

[0068] The Gynostemma pentaphyllum component separation system 100 based on ultrasonic-assisted membrane combination of the present invention can be installed in an electronic device. According to the realized functions, the Gynostemma pentaphyllum component separation system 100 based on ultrasonic-assisted membrane combination can include a target Gynostemma pentaphyllum set acquisition module 101, a Gynostemma pentaphyllum pulverization module 102, a target Gynostemma pentaphyllum crude liquid extraction module 103, and a target extraction liquid acquisition module 104. The modules of the present invention can also be called units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0069] The target Gynostemma pentaphyllum set acquisition module 101 is used to acquire an initial Gynostemma pentaphyllum set and acquire a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set; the Gynostemma pentaphyllum pulverization module 102 is used to acquire a pulverization parameter set, where the pulverization parameter set contains multiple pulverization parameter groups, count the number of pulverization parameter groups in the pulverization parameter set to obtain the number of pulverization parameter groups, and use the number of pulverization parameter groups and a preset extraction number to extract a Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set; acquire a pulverization curve set based on the Gynostemma pentaphyllum experimental group set and the pulverization parameter set, and acquire a target pulverization curve based on the pulverization curve set; extract a target pulverization parameter group from the target pulverization curve, extract an analysis Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and use the target pulverization parameter group to pulverize the analysis Gynostemma pentaphyllum sample to obtain an analyzed pulverized Gynostemma pentaphyllum; the target Gynostemma pentaphyllum crude liquid extraction module 103 is used to acquire the mass of the analyzed pulverized Gynostemma pentaphyllum to obtain an analyzed mass, calculate the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, use the extraction mass to acquire a to-be-mixed pure liquid, mix the analyzed pulverized Gynostemma pentaphyllum with the to-be-mixed pure liquid to obtain an analyzed Gynostemma pentaphyllum mixed liquid; acquire an ultrasonic parameter set, where the ultrasonic parameter set contains multiple ultrasonic parameter groups, confirm a target ultrasonic parameter group based on the ultrasonic parameter set and the analyzed Gynostemma pentaphyllum mixed liquid, and use the target ultrasonic parameter group and the analyzed Gynostemma pentaphyllum mixed liquid to obtain a target Gynostemma pentaphyllum crude liquid; the target extraction liquid acquisition module 104 is used to acquire an initial sieving parameter set, where the initial sieving parameter set contains multiple initial sieving parameter groups, acquire a target sieving parameter group based on the initial sieving parameter set, and use the target sieving parameter group to sieve the target Gynostemma pentaphyllum crude liquid to obtain a target extraction liquid.

[0070] Specifically, each module in the Gynostemma pentaphyllum component separation system 100 based on ultrasonic-assisted membrane combination in the embodiment of the present invention is used in the same way as the above Figure 1The technical means are the same as those of the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination described in [reference], and can produce the same technical effects, which will not be elaborated here.

[0071] As Figure 3 shown, it is a schematic structural diagram of an electronic device for implementing the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination provided by an embodiment of the present invention.

[0072] The electronic device 1 may include a processor 10, a memory 11, and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination.

[0073] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disks, multimedia cards, card-type memories (such as SD or DX memories, etc.), magnetic memories, magnetic disks, optical disks, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as the mobile hard disk of the electronic device 1. In some other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 1. Further, the memory 11 also includes the internal storage unit of the electronic device 1 and the external storage device. The memory 11 can not only be used to store application software installed on the electronic device 1 and various types of data, such as the code of the program for the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination, but also be used to temporarily store data that has been output or will be output.

[0074] In some embodiments, the processor 10 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and circuits, and by running or executing programs or modules stored in the memory 11 (such as the program for the method for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination, etc.), and calling data stored in the memory 11, to perform various functions of the electronic device 1 and process data.

[0075] The bus 12 can be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to implement connection communication between the memory 11 and at least one processor 10, etc.

[0076] Figure 3 Only an electronic device with components is shown. Those skilled in the art can understand that Figure 3 the shown structure does not constitute a limitation on the electronic device 1 and may include fewer or more components than shown, or combine certain components, or have a different component arrangement.

[0077] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for powering each component. Preferably, the power source can be logically connected to the at least one processor 10 through a power management system, so as to implement functions such as charge management, discharge management, and power consumption management through the power management system. The power source may also include any components such as one or more DC or AC power sources, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator. The electronic device 1 may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0078] Further, the electronic device 1 may further include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0079] Optionally, the electronic device 1 may further include a user interface. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display a visual user interface.

[0080] The method program for separating gynostemma components based on ultrasonic-assisted membrane combination stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: obtaining an initial gynostemma set and obtaining a target gynostemma set based on the initial gynostemma set; obtaining a set of comminution parameters, where the set of comminution parameters contains multiple groups of comminution parameters, counting the number of groups of comminution parameters in the set of comminution parameters to obtain the number of groups of comminution parameters, and using the number of groups of comminution parameters and a preset extraction number to extract a gynostemma experimental group set from the target gynostemma set; obtaining a set of comminution curves based on the gynostemma experimental group set and the set of comminution parameters, and obtaining a target comminution curve based on the set of comminution curves; extracting a target group of comminution parameters from the target comminution curve, extracting an analyzed gynostemma sample from the target gynostemma set, and using the target group of comminution parameters to comminute the analyzed gynostemma sample to obtain an analyzed comminuted gynostemma; obtaining the mass of the analyzed comminuted gynostemma to obtain an analyzed mass, calculating the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, using the extraction mass to obtain a to-be-mixed pure liquid, and mixing the analyzed comminuted gynostemma with the to-be-mixed pure liquid to obtain an analyzed gynostemma mixed liquid; obtaining a set of ultrasonic parameters, where the set of ultrasonic parameters contains multiple groups of ultrasonic parameters, confirming a target group of ultrasonic parameters based on the set of ultrasonic parameters and the analyzed gynostemma mixed liquid, and using the target group of ultrasonic parameters and the analyzed gynostemma mixed liquid to obtain a target gynostemma crude liquid; obtaining a set of initial sieving parameters, where the set of initial sieving parameters contains multiple groups of initial sieving parameters, obtaining a target group of sieving parameters based on the set of initial sieving parameters, and using the target group of sieving parameters to sieve the target gynostemma crude liquid to obtain a target extraction liquid.

[0081] Specifically, for the specific implementation method of the above instructions by the processor 10, reference can be made to Figures 1 to 3 the description of the relevant steps in the corresponding embodiment, which will not be elaborated here.

[0082] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0083] The present invention also provides a computer-readable storage medium storing a computer program, which when executed by a processor of an electronic device, can implement: obtaining an initial gynostemma pentaphyllum set, and obtaining a target gynostemma pentaphyllum set based on the initial gynostemma pentaphyllum set; obtaining a crushing parameter set, where the crushing parameter set contains multiple crushing parameter groups, counting the number of crushing parameter groups in the crushing parameter set to obtain the number of crushing parameter groups, and using the number of crushing parameter groups and a preset extraction number to extract a gynostemma pentaphyllum experimental group set from the target gynostemma pentaphyllum set; obtaining a crushing curve set based on the gynostemma pentaphyllum experimental group set and the crushing parameter set, and obtaining a target crushing curve based on the crushing curve set; extracting a target crushing parameter group from the target crushing curve, extracting an analyzed gynostemma pentaphyllum sample from the target gynostemma pentaphyllum set, crushing the analyzed gynostemma pentaphyllum sample using the target crushing parameter group to obtain an analyzed crushed gynostemma pentaphyllum; obtaining the mass of the analyzed crushed gynostemma pentaphyllum to obtain an analyzed mass, calculating the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, using the extraction mass to obtain a to-be-mixed pure liquid, and mixing the analyzed crushed gynostemma pentaphyllum with the to-be-mixed pure liquid to obtain an analyzed gynostemma pentaphyllum mixed liquid; obtaining an ultrasonic parameter set, where the ultrasonic parameter set contains multiple ultrasonic parameter groups, confirming a target ultrasonic parameter group based on the ultrasonic parameter set and the analyzed gynostemma pentaphyllum mixed liquid, and obtaining a target gynostemma pentaphyllum crude liquid using the target ultrasonic parameter group and the analyzed gynostemma pentaphyllum mixed liquid; obtaining an initial sieving parameter set, where the initial sieving parameter set contains multiple initial sieving parameter groups, obtaining a target sieving parameter group based on the initial sieving parameter set, and sieving the target gynostemma pentaphyllum crude liquid using the target sieving parameter group to obtain a target extraction liquid.

[0084] In several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and there may be other partitioning methods in actual implementation.

[0085] The modules described as separation components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] In addition, the functional modules in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional modules.

[0087] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method and system for separating the components of Gynostemma pentaphyllum based on an ultrasonic-assisted membrane combination, characterized in that, The method includes: obtaining an initial Gynostemma pentaphyllum set, and obtaining a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set; obtaining a set of comminution parameters, where the set of comminution parameters contains multiple groups of comminution parameters, counting the number of groups of comminution parameters in the set of comminution parameters to obtain the number of groups of comminution parameters, and using the number of groups of comminution parameters and a preset extraction quantity to extract a Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set; obtaining a set of comminution curves based on the Gynostemma pentaphyllum experimental group set and the set of comminution parameters, and obtaining a target comminution curve based on the set of comminution curves; extracting a target group of comminution parameters from the target comminution curve, extracting an analyzed Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and using the target group of comminution parameters to comminute the analyzed Gynostemma pentaphyllum sample to obtain an analyzed comminuted Gynostemma pentaphyllum; obtaining the mass of the analyzed comminuted Gynostemma pentaphyllum to obtain an analyzed mass, calculating the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, using the extraction mass to obtain a to-be-mixed pure liquid, and mixing the analyzed comminuted Gynostemma pentaphyllum with the to-be-mixed pure liquid to obtain an analyzed Gynostemma pentaphyllum mixed liquid; obtaining a set of ultrasonic parameters, where the set of ultrasonic parameters contains multiple groups of ultrasonic parameters, confirming a target group of ultrasonic parameters based on the set of ultrasonic parameters and the analyzed Gynostemma pentaphyllum mixed liquid, and using the target group of ultrasonic parameters and the analyzed Gynostemma pentaphyllum mixed liquid to obtain a target Gynostemma pentaphyllum crude liquid; obtaining a set of initial sieving parameters, where the set of initial sieving parameters contains multiple groups of initial sieving parameters, obtaining a target group of sieving parameters based on the set of initial sieving parameters, and using the target group of sieving parameters to sieve the target Gynostemma pentaphyllum crude liquid to obtain a target extraction liquid.

2. The method for separating gynostemma components based on an ultrasonic-assisted membrane combination according to claim 1, wherein The obtaining the target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set includes: performing the following operations on each initial Gynostemma pentaphyllum in the initial Gynostemma pentaphyllum set: obtaining the saponin content of the initial Gynostemma pentaphyllum, and determining whether the saponin content is within a preset content interval; after confirming that the saponin content is within the content interval, using the initial Gynostemma pentaphyllum as a pre-screened Gynostemma pentaphyllum; summarizing the pre-screened Gynostemma pentaphyllum to obtain a pre-screened Gynostemma pentaphyllum set; using a preset comminution parameter to perform a comminution operation on the pre-screened Gynostemma pentaphyllum set to obtain a pre-comminuted Gynostemma pentaphyllum set; and using a pre-constructed screening unit and a preset screening particle size interval to screen the pre-comminuted Gynostemma pentaphyllum set to obtain a target Gynostemma pentaphyllum set.

3. The method for separating the gynostemma components based on the ultrasonic-assisted membrane combination according to claim 2, wherein, The extracting the Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set by using the number of groups of comminution parameters and a preset extraction quantity includes: obtaining the mass of the target Gynostemma pentaphyllum set to obtain the total Gynostemma pentaphyllum weight, and calculating an analyzed sample threshold based on the total Gynostemma pentaphyllum weight, the number of groups of comminution parameters, the extraction quantity, and a pre-constructed threshold calculation formula, where the threshold calculation formula is as follows: , wherein, represents the analysis sample threshold, represents the total weight of the Gynostemma pentaphyllum, represents the number of groups of comminution parameters, represents the extraction quantity; obtaining the analysis sample weight based on the analysis sample threshold, extracting a plurality of analysis Gynostemma pentaphyllum samples from the target Gynostemma pentaphyllum set based on the analysis sample weight, wherein the weight of the analysis Gynostemma pentaphyllum sample is the analysis sample weight; obtaining the Gynostemma pentaphyllum experimental group set based on the plurality of analysis Gynostemma pentaphyllum samples, the number of groups of comminution parameters and the extraction quantity, wherein the Gynostemma pentaphyllum experimental group set contains a plurality of Gynostemma pentaphyllum experimental groups, and each Gynostemma pentaphyllum experimental group contains a plurality of analysis Gynostemma pentaphyllum samples.

4. The method for separating gynostemma components based on an ultrasonic-assisted membrane combination according to claim 3, characterized in that, The crushing curve set is obtained based on the Gynostemma pentaphyllum experimental group set and the crushing parameter set, and the target crushing curve is obtained based on the crushing curve set, including: obtaining a plurality of crushing nodes in the form of a combination by using the Gynostemma pentaphyllum experimental group set and the crushing parameter set, wherein each crushing node includes a Gynostemma pentaphyllum experimental group and a crushing parameter group; performing the following operations on each crushing node among the plurality of crushing nodes: performing a crushing operation on each analyzed Gynostemma pentaphyllum sample in the Gynostemma pentaphyllum experimental group corresponding to the crushing node by using the crushing parameter group corresponding to the crushing node to obtain a crushed Gynostemma pentaphyllum set, and identifying the crushing particle size of each crushed Gynostemma pentaphyllum in the crushed Gynostemma pentaphyllum set to obtain a crushing particle size set, wherein the crushing particle size set contains a plurality of crushing particle sizes; obtaining a reference particle size based on the crushing parameter group, and obtaining an updated crushing particle size based on the reference particle size and the crushing particle size set; obtaining a crushing energy consumption value based on the crushing parameter group corresponding to the crushing node, associating the updated crushing particle size and the crushing energy consumption value to obtain a fitting coordinate point, summarizing the fitting coordinate points to obtain a fitting coordinate point set; mapping all the fitting coordinate points in the fitting coordinate point set to a pre-constructed coordinate system to obtain a mapped coordinate point set, and obtaining a crushing curve set by using the pre-constructed fitting model set and the mapped coordinate point set; performing the following operations on each crushing curve in the crushing curve set: obtaining a crushing distance evaluation value based on the crushing curve and a pre-constructed distance evaluation value calculation formula, wherein the distance evaluation value calculation formula is as follows: , where represents the crushing distance evaluation value represents that there are a total of mapping coordinate points in the mapping coordinate point set represents the crushing particle size of the nth fitting coordinate point represents the fitting value of the crushing curve at the nth crushing energy consumption value ; Summarize the crushing distance evaluation values to obtain a set of crushing distance evaluation values, obtain the smallest crushing distance evaluation value in the set of crushing distance evaluation values, and use the crushing curve corresponding to the smallest crushing distance evaluation value as the target crushing curve.

5. The method for separating gynostemma components based on an ultrasonic-assisted membrane combination according to claim 4, wherein The obtaining of the updated crushing particle size based on the reference particle size and the crushing particle size set includes: judging whether the crushing particle size set meets a pre-constructed particle size evaluation condition, wherein the particle size evaluation condition is as follows: , wherein, represents the -th comminution particle size in the comminution particle size concentration, represents the number of comminution particle sizes in the comminution particle size concentration, represents the reference particle size, represents a preset particle size difference threshold; if the particle size evaluation condition is satisfied, calculate the average value of the comminution particle sizes in the comminution particle size concentration, and use the average value as the updated comminution particle size; otherwise, obtain an updated Gynostemma experimental group, use the updated Gynostemma experimental group as the Gynostemma experimental group and return the step of performing a comminution operation on each analyzed Gynostemma sample in the Gynostemma experimental group corresponding to the comminution node by using the comminution parameter group corresponding to the comminution node until an updated comminution particle size is obtained.

6. The gynostemma component separation method based on an ultrasonic-assisted membrane combination according to claim 5, wherein, The extracting of the target crushing parameter group from the target crushing curve includes: obtaining a crushing particle size evaluation interval, and identifying one or more initial evaluation curve segments in the target crushing curve based on the crushing particle size evaluation interval; performing the following operations on each initial evaluation curve among the one or more initial evaluation curve segments: identifying a first energy consumption value and a second energy consumption value in the initial evaluation curve segment, calculating the mean value of the first energy consumption value and the second energy consumption value to obtain an evaluation mean value, summarizing the evaluation mean values to obtain an evaluation mean value set, and using the evaluation mean value set to identify a target evaluation curve segment among the one or more initial evaluation curve segments, wherein the target evaluation curve segment is the initial evaluation curve segment corresponding to the smallest evaluation mean value in the evaluation mean value set; identifying a target crushing energy consumption value based on the target evaluation curve segment, wherein the target crushing energy consumption value is as follows: , , where represents the target crushing energy consumption value, represents the target evaluation curve segment, represents the crushing energy consumption value, respectively represent the first energy consumption value and the second energy consumption value corresponding to the target evaluation curve segment, represents taking the minimum value, represents the second derivative value of the target evaluation curve at the point ; Obtain the target crushing parameter group based on the target crushing energy consumption value.

7. The method for separating gynostemma components based on an ultrasonic-assisted membrane combination according to claim 6, wherein, The method for determining the target ultrasonic parameter group based on the ultrasonic parameter set and analyzing the gynostemma pentaphyllum mixture includes: based on the ultrasonic parameter set, extracting a plurality of mixture experimental groups from the analyzed gynostemma pentaphyllum mixture, where the ultrasonic parameter groups in the ultrasonic parameter set correspond one-to-one with the mixture experimental groups in the plurality of mixture experimental groups; performing the following operations on each mixture experimental group in the plurality of mixture experimental groups: within a preset extraction period, using the ultrasonic parameter group in the ultrasonic parameter set to perform a crude liquid extraction operation on the mixture experimental group corresponding to the ultrasonic parameter group to obtain gynostemma pentaphyllum crude liquid; obtaining the content of saponin components in the gynostemma pentaphyllum crude liquid to obtain the analyzed component content; obtaining the analyzed energy consumption based on the ultrasonic parameter group, and using the analyzed energy consumption and the extraction period to obtain the unit analyzed energy consumption; correlating the analyzed component content and the unit analyzed energy consumption to obtain an analyzed node; calculating an extraction evaluation value based on the analyzed node and a pre-constructed extraction evaluation formula, where the extraction evaluation formula is as follows: , where represents the extracted evaluation value, represents the weight of the analyzed component content, represents the content of the analyzed component corresponding to the analysis node, represents the weight of the unit analysis energy consumption, represents the unit analysis energy consumption corresponding to the analysis node; summarize the extracted evaluation values to obtain an extracted evaluation value set; obtain the maximum extracted evaluation value in the extracted evaluation value set, and use the ultrasonic parameter group corresponding to the maximum extracted evaluation value as the target ultrasonic parameter group.

8. The method for separating gynostemma components based on an ultrasonic-assisted membrane combination according to claim 7, wherein The method for obtaining the target sieving parameter group based on the initial sieving parameter set includes: based on the initial sieving parameter set, extracting a plurality of gynostemma pentaphyllum crude liquid experimental groups from the target gynostemma pentaphyllum crude liquid, where the initial sieving parameter groups in the initial sieving parameter set correspond one-to-one with the gynostemma pentaphyllum crude liquid experimental groups in the plurality of gynostemma pentaphyllum crude liquid experimental groups; performing the following operations on each gynostemma pentaphyllum crude liquid experimental group in the plurality of gynostemma pentaphyllum crude liquid experimental groups: using the initial sieving parameter group in the initial sieving parameter set to perform a sieving operation on the gynostemma pentaphyllum crude liquid experimental group corresponding to the initial sieving parameter group, and starting to record the time in real time with the time when the sieving operation is performed on the gynostemma pentaphyllum crude liquid experimental group as the starting time to obtain the monitoring time; using a preset detection time interval and the gynostemma pentaphyllum crude liquid experimental group in the sieving operation to obtain the detected saponin content; when the detected saponin content is greater than or equal to a preset content threshold, obtaining the gynostemma pentaphyllum extract, and using the monitoring time as the sieving end time; otherwise, after confirming that the monitoring time reaches a preset pre-sieving end time, obtaining the gynostemma pentaphyllum extract; using a pre-constructed detection unit to obtain the saponin component content in the gynostemma pentaphyllum extract to obtain the saponin component content; obtaining the sieving duration based on the pre-sieving end time or the sieving end time and the starting time; obtaining the sieving energy consumption based on the sieving duration; obtaining the target saponin component content based on the detected saponin content or the saponin component content; correlating the sieving duration, the sieving energy consumption, and the target saponin component content to obtain a sieving evaluation node; calculating a sieving evaluation value based on the sieving evaluation node and a pre-constructed sieving evaluation formula, where the sieving evaluation formula is as follows: , wherein, represents the sieving evaluation value, represents the weight of the sieving duration, represents the content of the target saponin component, represents the sieving duration, represents the weight of the sieving energy consumption, represents the sieving energy consumption; summarize the sieving evaluation values to obtain a set of sieving evaluation values; obtain the maximum sieving evaluation value in the set of sieving evaluation values, and use the initial sieving parameter group corresponding to the maximum sieving evaluation value as the target sieving parameter group.

9. The method for separating gynostemma components based on an ultrasonic-assisted membrane combination according to claim 8, characterized in that, The method for sieving the target gynostemma pentaphyllum crude liquid using the target sieving parameter group to obtain the target extract includes: within a preset sieving period, using a pre-constructed monitoring unit and a preset detection frequency to obtain the material in-out ratio, and when the material in-out ratio is less than a preset ratio threshold, extracting a target vibration frequency and a target vibration amplitude from the target sieving parameter group; calculating an updated vibration frequency using the material in-out ratio and the target vibration frequency, where the updated vibration frequency is expressed as: , wherein, represents the updated vibration frequency, represents the target vibration frequency, represents the adjustment step of the vibration frequency, represents the material in-out ratio, represents the initial material quantity during sieving, represents the remaining material quantity during sieving, represents the ratio threshold; calculate the updated vibration amplitude using the material in-out ratio and the target vibration amplitude; update the target sieving parameter group using the updated vibration frequency and the updated vibration amplitude to obtain an updated sieving parameter group, perform a sieving operation on the target crude Gynostemma pentaphyllum liquid using the updated sieving parameter group to obtain an updated material in-out ratio, and construct a sieving operation plan based on the updated material in-out ratio, wherein the sieving operation plan is as follows: , , wherein, represents the updated material input-output ratio, represents the ratio threshold, represents the parameter set set when performing a sieving operation on the target crude Gynostemma pentaphyllum liquid, and this parameter set is an updated sieving parameter set or a target sieving parameter set, represents the target sieving parameter set, represents the updated sieving parameter set; obtain the target extract based on the sieving operation plan and the Gynostemma pentaphyllum crude liquid experimental group.

10. A gynostemma pentaphyllum component separation system based on an ultrasonic-assisted membrane combination, characterized in that, The system includes: a target Gynostemma pentaphyllum set acquisition module for acquiring an initial Gynostemma pentaphyllum set and obtaining a target Gynostemma pentaphyllum set based on the initial Gynostemma pentaphyllum set; a Gynostemma pentaphyllum pulverization module for obtaining a pulverization parameter set, wherein the pulverization parameter set contains multiple pulverization parameter groups, counting the number of pulverization parameter groups in the pulverization parameter set to obtain the number of pulverization parameter groups, and using the number of pulverization parameter groups and a preset extraction number to extract a Gynostemma pentaphyllum experimental group set from the target Gynostemma pentaphyllum set; obtaining a pulverization curve set based on the Gynostemma pentaphyllum experimental group set and the pulverization parameter set, and obtaining a target pulverization curve based on the pulverization curve set; extracting a target pulverization parameter group from the target pulverization curve, extracting an analyzed Gynostemma pentaphyllum sample from the target Gynostemma pentaphyllum set, and pulverizing the analyzed Gynostemma pentaphyllum sample using the target pulverization parameter group to obtain an analyzed pulverized Gynostemma pentaphyllum; a target Gynostemma pentaphyllum crude liquid extraction module for obtaining the mass of the analyzed pulverized Gynostemma pentaphyllum to obtain an analyzed mass, calculating the product of the analyzed mass and a preset reference ratio to obtain an extraction mass, using the extraction mass to obtain a to-be-mixed pure liquid, and mixing the analyzed pulverized Gynostemma pentaphyllum with the to-be-mixed pure liquid to obtain an analyzed Gynostemma pentaphyllum mixed liquid; obtaining an ultrasonic parameter set, wherein the ultrasonic parameter set contains multiple ultrasonic parameter groups, confirming a target ultrasonic parameter group based on the ultrasonic parameter set and the analyzed Gynostemma pentaphyllum mixed liquid, and obtaining a target Gynostemma pentaphyllum crude liquid using the target ultrasonic parameter group and the analyzed Gynostemma pentaphyllum mixed liquid; a target extract acquisition module for obtaining an initial sieving parameter set, wherein the initial sieving parameter set contains multiple initial sieving parameter groups, obtaining a target sieving parameter group based on the initial sieving parameter set, and sieving the target Gynostemma pentaphyllum crude liquid using the target sieving parameter group to obtain a target extract.

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