An intelligent control system for extracting Chinese medicinal materials

Abstract

The present invention relates to the field of intelligent control technology, specifically to an intelligent control system for Chinese herbal medicine extraction, the system includes a heat distribution control module, a pressure environment optimization module, a solvent dynamic adjustment module, an extraction abnormality intervention module, and a component extraction quality improvement module. In the present invention, by dynamically adjusting the heat output, pressure distribution and solvent flow rate, accurate control of key parameters in the Chinese herbal medicine extraction process is achieved, uniform distribution of heat energy is guaranteed, extraction efficiency and quality are optimized, the system is adjusted according to the change of pressure gradient, the adaptability to fluctuations in extraction conditions is enhanced, the flexibility and overall stability of the system are improved, and fine solvent adsorption and diffusion regulation improve the efficiency of solvent use, promote the uniform action of solvent on Chinese herbal medicine, improve the extraction rate and uniformity of effective ingredients, and quickly adjust the solvent distribution and concentration when encountering temperature fluctuations or pressure offsets, enhance abnormal response capabilities, and ensure the continuity of the extraction process and product consistency.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent control system for extracting traditional Chinese medicine. Background Art

[0002] The field of intelligent control technology includes dynamic monitoring and regulation of various complex processes and systems in industry, agriculture, medical care, etc., and realizes system automation and intelligent operation through information collection, real-time calculation and optimization strategies. The core content of this technology field is to use sensors, controllers and related algorithms to perceive information, process data and execute decisions to optimize the operating efficiency of the entire system. The field of intelligent control technology covers precise control of the entire process from raw material acquisition to product production, emphasizing dynamic adjustment and coordinated optimization of key process parameters, and is widely used in various process control systems.

[0003] Among them, the intelligent control system for Chinese medicinal materials extraction refers to the specific operations in the process of Chinese medicinal materials extraction, which realizes the automatic adjustment of the extraction process through real-time monitoring and control of key parameters such as temperature, pressure, and solvent concentration. The system mainly collects the extraction conditions in real time through temperature sensors, pressure sensors, liquid level monitoring equipment, etc., and combines with the preset control algorithm, and uses the controller to dynamically adjust the heating system, pressure regulating device and solvent delivery device to ensure the precise matching of extraction process conditions. The system uses industrial control communication interface to transmit and integrate data, and completes the management and monitoring of the entire extraction process through an integrated industrial computing unit.

[0004] The existing technology for controlling the extraction process of traditional Chinese medicine relies on preset fixed parameters and lacks effective use of real-time data feedback, resulting in insufficient adaptability when dealing with complex or variable process conditions, especially in terms of temperature and pressure control. Due to the lack of flexible adjustment mechanism, once the raw material characteristics or external conditions change, it is difficult for the existing system to respond quickly, resulting in low extraction efficiency or unstable product quality. For example, when there are differences in component concentrations between raw material batches, the fixed extraction parameters cannot be optimally adjusted, resulting in incomplete or over-extraction of effective ingredients, thereby affecting the quality and cost control of the final product. Due to the lack of immediate adjustment of the dynamic distribution of pressure and solvent, the existing technology cannot effectively respond to sudden temperature fluctuations or pressure deviations during the extraction process, increasing the risk and uncertainty in the production process. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent control system for extracting Chinese medicinal materials.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an intelligent control system for extracting Chinese medicinal materials comprises:

[0007] The heat energy distribution control module calls the equipment's heat power output parameters, the temperature difference of Chinese herbal medicine extraction, and the circulation path flow rate data according to the operation status information of the Chinese herbal medicine extraction equipment, analyzes the matching degree between the heat power distribution and the thermal stability, allocates the equipment's heat energy regulation value and circulation balance parameters, and generates a heat energy distribution control parameter set;

[0008] The pressure environment optimization module extracts the pressure value and gradient change in the equipment cavity based on the thermal energy distribution control parameter set, analyzes the influence of the power output of the pressure device on the stability, adjusts the balance of the cavity pressure distribution, and generates a pressure control optimization parameter set;

[0009] The solvent dynamic adjustment module analyzes the adsorption and diffusion of the solvent on the surface of the Chinese medicinal material based on the pressure control optimization parameter set, adjusts the solvent input rate and the flow rate path distribution ratio, redistributes the distribution trend and dynamic parameter value of the solvent concentration, and generates a solvent dynamic adjustment result;

[0010] The extraction abnormality intervention module extracts the real-time temperature fluctuation rate and pressure offset in the extraction process of Chinese medicinal materials based on the results of the dynamic control of the solvent, analyzes the influence of the fluctuation range on the dissolution rate of the components of the Chinese medicinal materials, dynamically adjusts the solvent distribution path and the temperature-pressure ratio within the target range, and generates an abnormality intervention adjustment data set;

[0011] The component extraction quality improvement module adjusts the data set based on the abnormal intervention, analyzes the distribution ratio and extraction time of the target components of the Chinese medicinal materials, adjusts the parameters of the target extraction path, and generates a Chinese medicinal material target component extraction data table.

[0012] As a further solution of the present invention, the steps for obtaining the degree of matching between the thermal power distribution and the thermal stability are specifically as follows:

[0013] According to the operation status information of the Chinese herbal medicine extraction equipment, the thermal power output parameters, temperature difference data and circulation path flow rate data of the equipment are extracted, the time window is set, the time point matching data is selected, and the thermal power output parameters and temperature difference data are obtained by comparing the data correlation and performing data screening;

[0014] Based on the thermal power output parameters and the temperature difference data, the path is matched and checked, the difference between the thermal power and the temperature difference is calculated, the thermal power distribution and the temperature difference distribution are corrected in combination with the flow rate change, and the path parameters are adjusted according to the influence of the flow rate on the data to obtain the matching of the thermal power and the temperature difference;

[0015] Based on the matching of thermal power and temperature difference, a thermal stability analysis is performed, and thermal stability analysis standards are set. Combined with the dynamic changes of equipment operation, the power distribution under differentiated flow rate conditions is evaluated, the stability indicators are compared and the flow rate conditions are optimized to obtain the matching degree of thermal power distribution and thermal stability.

[0016] As a further solution of the present invention, the step of acquiring the heat energy distribution control parameter set is specifically:

[0017] Based on the matching degree between the thermal power distribution and thermal stability, the thermal energy transmission and stability changes of the equipment under differentiated operating conditions are analyzed, and the thermal power distribution of the equipment is weightedly calculated to obtain the preliminary thermal energy regulation requirements of the equipment;

[0018] Based on the preliminary thermal energy control requirements of the equipment, analyze the thermal energy balance between the equipment, identify the relationship between the heat transfer efficiency and load distribution between the equipment, and correct the thermal energy control parameters of the equipment using the formula:

[0019] ;

[0020] Calculate the thermal power value of the equipment after adjustment to obtain the thermal energy control data set between the equipment;

[0021] in, Represents the thermal power value of the device after adjustment. represents the maximum thermal power, is the heat energy adjustment coefficient, is the temperature difference between devices, is the thermal stability adjustment parameter;

[0022] The thermal energy distribution control parameter set is obtained by combining the thermal energy regulation data set between the devices with the thermal stability matching result, distributing the thermal energy between the devices, optimizing and matching the required balance and stability requirements.

[0023] As a further solution of the present invention, the steps for obtaining the pressure value and gradient change amount in the device cavity are specifically as follows:

[0024] Based on the heat energy distribution control parameter set, the temperature data in the equipment cavity is extracted, the temperature points in each time period are screened, and the temperature fluctuation is analyzed in combination with the temperature change trend of the differentiated positions in the cavity to obtain the temperature data in the equipment cavity;

[0025] Based on the temperature data in the cavity of the device, each temperature point and the corresponding pressure value are calculated, and the pressure change at each measuring point is identified by analyzing the relationship between temperature and pressure. Combined with the device structural parameters, the pressure changes at different positions are compared to obtain pressure distribution and gradient distribution data;

[0026] Based on the pressure distribution and gradient distribution data, the overall pressure distribution in the equipment cavity is analyzed, the pressure gradient is optimized in combination with the temperature data, the impact of pressure changes on equipment performance is analyzed, the stable pressure configuration under differentiated operating conditions is determined, and the pressure value and gradient change in the equipment cavity are obtained.

[0027] As a further solution of the present invention, the step of obtaining the pressure control optimization parameter set is specifically:

[0028] Based on the pressure value and gradient change in the cavity of the device, determine the time series of pressure change, compare the current pressure value with the original pressure data, analyze the pressure gradient at each moment, and define corresponding thresholds according to the device state partition to generate a preliminary pressure change parameter set;

[0029] The preliminary pressure variation parameter set is analyzed to analyze the effect of the pressure in the cavity on the stability of the power output of the device, and the correlation between pressure and power output is identified using the formula:

[0030] ;

[0031] The section power stability influence coefficient is calculated;

[0032] in, is the pressure value at time i, is the time interval, is the power output value at time i, S represents the influence coefficient of section power stability, and n represents the total number of time points;

[0033] By analyzing the power stability influence coefficient of the section and combining the cavity pressure change parameters, the pressure distribution balance is adjusted, the pressure control data is optimized, and a pressure control optimization parameter set is generated.

[0034] As a further solution of the present invention, the step of obtaining the result of the dynamic regulation of the solvent is specifically as follows:

[0035] Based on the pressure control optimization parameter set, the solvent adsorption data on the medicinal material surface is extracted, the adsorption rate of the solvent on the surface of the differentiated material is monitored, the diffusion characteristics of the solvent are inferred by combining the external environmental factors of time and temperature, the adsorption and diffusion rate coefficients are defined, and the adsorption and diffusion dynamic parameter set is generated;

[0036] The influence of the adsorption-diffusion dynamic parameter set on the solvent flow rate and distribution was analyzed, and the ratio between the flow rate path and the solvent input rate was optimized according to the requirements of the solvent concentration distribution on the medicinal material surface, using the formula:

[0037] ;

[0038] Calculate the adjustment coefficient of the solvent concentration distribution trend and generate the solvent concentration control result;

[0039] Where R represents the adjustment coefficient of the solvent concentration distribution trend, represents the solvent concentration of the kth segment, is the solvent flow rate of the kth segment, is the flow time of the solvent in the segment, and m represents the number of segments;

[0040] The solvent concentration control result is analyzed, the proportional relationship between the solvent input rate and the flow rate path is adjusted, the distribution trend of the solvent concentration is allocated, and the solvent dynamic control result is obtained by combining the adsorption diffusion parameters and the adjustment coefficient.

[0041] As a further solution of the present invention, the step of acquiring the abnormal intervention adjustment data set is specifically:

[0042] Based on the results of the dynamic control of the solvent, the monitoring equipment monitors the temperature fluctuation rate and pressure offset in the extraction process in real time, identifies the fluctuation range, eliminates abnormal values ​​of equipment failure, analyzes the average fluctuation rate of the data, and obtains temperature and pressure fluctuation data;

[0043] The influence of the temperature and pressure fluctuation range on the dissolution rate of the Chinese medicinal materials was analyzed. The relationship between pressure and temperature was analyzed using the known dissolution rate of the medicinal materials. The dissolution rate under the differentiated fluctuation range was calculated using the formula:

[0044] ;

[0045] Obtain dissolution rate impact data;

[0046] Where D represents the dissolution rate, y is a constant, is the average temperature, is the average pressure value, Q is the current pressure value, is the maximum pressure value;

[0047] According to the dissolution rate influence data, the solvent distribution path and temperature-pressure ratio within the target range are dynamically adjusted. According to the relationship between the dissolution rate influence data and the temperature and pressure fluctuation range, the solvent flow rate and temperature control range are allocated to generate an abnormal intervention adjustment data set.

[0048] As a further solution of the present invention, the steps for obtaining the Chinese medicinal material target component extraction data table are specifically as follows:

[0049] Based on the abnormal intervention adjustment data set, target component distribution and extraction time analysis of Chinese medicinal materials are performed, component concentration data at differentiated extraction time points are collected, component time distribution is sorted out, concentration change trends are analyzed and data are classified to obtain Chinese medicinal materials component distribution data;

[0050] Based on the distribution data of the components of the Chinese medicinal materials, the target extraction path parameters are adjusted, the optimal extraction time and concentration distribution of the components of the Chinese medicinal materials are analyzed, and the operating conditions of the extraction temperature, time, and solvent concentration are adjusted by comparing the concentration changes under the differentiated extraction conditions to obtain the target extraction path parameters;

[0051] Based on the target extraction path parameters, the extraction conditions are adjusted according to the current operating parameters, the variable relationship between extraction time, temperature and solvent concentration is controlled, and real-time extraction is performed according to the adjusted parameters to obtain a data table of target component extraction of Chinese medicinal materials.

[0052] Compared with the prior art, the advantages and positive effects of the present invention are:

[0053] In the present invention, by dynamically adjusting the heat output, pressure distribution and solvent flow rate, more accurate control of key parameters in the extraction process of Chinese herbal medicine is achieved, and by real-time monitoring of temperature difference and flow rate, thermal stability is effectively improved to ensure uniform distribution of heat energy in the extraction process, thereby optimizing extraction efficiency and quality, and adjusting according to changes in pressure gradient to enhance the system's adaptability to fluctuations in Chinese herbal medicine extraction conditions, so that the pressure system can more flexibly respond to changes in the production process, thereby improving the overall stability of the system, and the meticulous regulation of solvent adsorption and diffusion optimizes the efficiency of solvent use, so that the solvent can act more evenly on Chinese herbal medicines, and improve the extraction rate and uniformity of effective ingredients. By adjusting the distribution and concentration of the solvent in real time, the responsiveness to abnormal conditions is also enhanced, allowing the system to quickly adjust when encountering temperature fluctuations or pressure offsets, ensuring the continuity of the extraction process and the consistency of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a system flow chart of the present invention;

[0055] Figure 2 It is a flow chart of the matching degree between thermal power distribution and thermal stability in the present invention;

[0056] Figure 3 It is a flow chart of the heat energy distribution control parameter set in the present invention;

[0057] Figure 4 It is a flow chart of the pressure value and gradient change in the cavity of the device in the present invention;

[0058] Figure 5 A flow chart of the pressure control optimization parameter set in the present invention;

[0059] Figure 6 It is a flow chart of the results of dynamic regulation of solvent in the present invention;

[0060] Figure 7 Flowchart for adjusting a data set for abnormal intervention in the present invention;

[0061] Figure 8 The flowchart of the data table for extracting target components from Chinese medicinal materials in the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0063] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0064] See also Figure 1 , an intelligent control system for extracting Chinese medicinal materials includes:

[0065] The heat energy distribution control module calls the equipment's heat power output parameters, the temperature difference of Chinese herbal medicine extraction, and the circulation path flow rate data according to the operation status information of the Chinese herbal medicine extraction equipment, analyzes the matching degree between the heat power distribution and the thermal stability, allocates the equipment's heat energy regulation value and circulation balance parameters, and generates a heat energy distribution control parameter set;

[0066] The pressure environment optimization module extracts the pressure value and gradient change in the equipment cavity based on the thermal energy distribution control parameter set, analyzes the impact of the pressure device power output on stability, adjusts the cavity pressure distribution balance, and generates a pressure control optimization parameter set;

[0067] The solvent dynamic adjustment module analyzes the adsorption and diffusion of solvents on the surface of Chinese medicinal materials based on the pressure control optimization parameter set, adjusts the solvent input rate and flow rate path distribution ratio, redistributes the distribution trend and dynamic parameter value of solvent concentration, and generates solvent dynamic adjustment results;

[0068] The abnormal intervention module extracts the real-time temperature fluctuation rate and pressure offset during the extraction of Chinese medicinal materials based on the results of dynamic solvent regulation, analyzes the impact of the fluctuation range on the dissolution rate of Chinese medicinal materials, dynamically adjusts the solvent distribution path and temperature-pressure ratio within the target range, and generates an abnormal intervention adjustment data set;

[0069] The component extraction quality improvement module adjusts the data set based on abnormal intervention, analyzes the distribution ratio and extraction time of the target components of Chinese medicinal materials, adjusts the parameters of the target extraction path, and generates a data table for the extraction of target components of Chinese medicinal materials.

[0070] The thermal energy distribution control parameter set specifically includes thermal power regulation, extraction efficiency optimization, and energy flow balance. The pressure regulation optimization parameter set includes pressure balance adjustment, pressure gradient optimization, and stability enhancement. The solvent dynamic regulation results specifically refer to adsorption efficiency, diffusion rate, and concentration redistribution. The abnormal intervention adjustment data set specifically includes fluctuation control, offset correction, and stability adjustment. The Chinese medicinal material target component extraction data table specifically includes component quantification, time optimization, and path refinement.

[0071] See also Figure 2 , the specific steps for obtaining the matching degree between thermal power distribution and thermal stability are:

[0072] According to the operation status information of the Chinese herbal medicine extraction equipment, the thermal power output parameters, temperature difference data and circulation path flow rate data of the equipment are extracted, the time window is set, the time point matching data is selected, and the thermal power output parameters and temperature difference data are obtained by comparing the data correlation and performing data screening;

[0073] First, the thermal power output, temperature difference data and flow rate data of the equipment must be collected in real time, and time series must be used for data sorting and synchronization to ensure that the thermal power, temperature difference and flow rate information at each time point match. After data collection is completed, the correlation analysis method is used to calculate the correlation of each set of data to identify the degree of correlation between thermal power and temperature difference. For example, by calculating the Pearson correlation coefficient, the correlation between thermal power output and temperature difference data can be quantified, thereby screening out time points with high correlation between thermal power and temperature difference, and obtaining thermal power output parameters and temperature difference data. The flow rate data is used as background information to assist in determining the matching of thermal power and temperature difference, and finally the most representative time point data is selected for subsequent path verification and analysis.

[0074] Based on the thermal power output parameters and temperature difference data, the path is matched and checked, the difference between thermal power and temperature difference is calculated, and the thermal power distribution and temperature difference distribution are corrected in combination with the flow rate change. Through the influence of flow rate on the data, the path parameters are adjusted to obtain the matching situation of thermal power and temperature difference.

[0075] First, the difference between thermal power and temperature difference is calculated, and the mean square error or appropriate error measurement method is used to evaluate the matching between thermal power and temperature difference. For paths with large differences between thermal power and temperature difference, dynamic adjustments are made by combining flow rate data. For example, if a large flow rate leads to low heat conduction efficiency, it is necessary to reduce this difference by adjusting the flow rate distribution of the path. During the adjustment process, the flow rate of each path needs to be optimized, and the optimal flow rate distribution is obtained through iterative adjustment. The data after the path adjustment needs to be re-checked to ensure that the thermal power and temperature difference distribution are optimally matched. The impact of flow rate is mainly reflected in improving heat exchange efficiency and improving temperature uniformity. For each path, the flow rate changes need to be monitored in real time, and the operating parameters of the equipment are optimized based on real-time feedback to ensure a more accurate match between thermal power and temperature difference.

[0076] Based on the matching of thermal power and temperature difference, perform thermal stability analysis, set thermal stability analysis standards, combine the dynamic changes of equipment operation, evaluate the power distribution under differentiated flow rate conditions, compare stability indicators and optimize flow rate conditions, and obtain the matching degree between thermal power distribution and thermal stability;

[0077] First of all, according to the working characteristics of the equipment, reasonable thermal stability standards should be set, including indicators such as temperature fluctuation range and thermal power fluctuation range. The thermal power distribution of the equipment under different flow rate conditions should be monitored in real time, and the stability under different flow rate conditions should be evaluated in combination with the flow rate changes. For example, some paths produce large temperature fluctuations at high flow rates, while the temperature is relatively stable at low flow rates. By comparing the thermal power distribution and stability indicators of the equipment under different flow rates, the best operating mode under each flow rate condition can be obtained, and the operating conditions of the equipment can be further optimized to improve the overall thermal stability. The flow rate needs to be adjusted dynamically to ensure that the thermal power output and temperature difference distribution during the operation of the equipment are more matched, thereby improving the extraction efficiency and stability of the equipment, and obtaining the matching degree between the thermal power distribution and thermal stability.

[0078] See also Figure 3 , the specific steps for obtaining the heat energy distribution control parameter set are:

[0079] Based on the matching degree between thermal power distribution and thermal stability, analyze the thermal energy transmission and stability changes of the equipment under differentiated operating conditions, and perform weighted calculation on the thermal power distribution of the equipment to obtain the preliminary thermal energy regulation requirements of the equipment;

[0080] First, the preliminary thermal energy distribution requirements of each device are obtained. The execution process includes analyzing the thermal power value of each device, obtaining the power data of the device through the thermal energy analysis tool, and calculating the thermal energy output of each device in combination with parameters such as ambient temperature, equipment load, and heat exchange efficiency. According to the different working conditions of each device, its thermal power output data is collected in real time, its thermal stability is calculated, and compared with the previous power distribution value to determine the adaptability of the thermal energy distribution requirements, and further calculate the adjustment coefficient required for the equipment. Through simulation adjustment plans, the adjustment requirements of each device are determined, and a preliminary thermal energy control parameter set is generated. Based on the parameters obtained by the equipment, including the differences in thermal power distribution between devices and the stability status, the preliminary thermal energy control requirements of the equipment are finally obtained.

[0081] Based on the preliminary thermal energy control requirements of the equipment, analyze the thermal energy balance between the equipment, identify the relationship between the heat transfer efficiency and load distribution between the equipment, and correct the thermal energy control parameters of the equipment using the formula:

[0082] ;

[0083] Calculate the thermal power value of the equipment after adjustment to obtain the thermal energy control data set between the equipment;

[0084] in, Represents the thermal power value of the device after adjustment. represents the maximum thermal power, is the thermal energy adjustment coefficient, is the temperature difference between devices, is the thermal stability adjustment parameter;

[0085] The formula is useful because it allows for temperature differences between devices. and thermal stability adjustment parameters , so that the thermal energy control value can be dynamically adjusted according to the specific load, thermal power distribution and thermal stability of the equipment, thereby ensuring the thermal energy balance between the equipment;

[0086] It is the adjusted thermal power value, which indicates the actual thermal energy consumed by the equipment;

[0087] It is the maximum thermal power of the equipment, which is set by the rated power of the equipment or determined by the operating conditions of the equipment;

[0088] It is the heat energy adjustment coefficient, which indicates the adjustment strength of heat energy. It depends on environmental factors and equipment operation status and is set through experiments or actual monitoring data.

[0089] It is the temperature difference between devices, indicating the heat difference generated by the external environment or the working status of the device when the device is running, and is obtained by real-time monitoring of the surface temperature difference of the device;

[0090] It is a thermal stability adjustment parameter that controls the relationship between thermal stability and adjustment coefficient. It is determined by the heat exchange efficiency and load conditions of the equipment. The value of this parameter will be provided in the experimental data or equipment manual.

[0091] Assume that the maximum thermal power of a device , heat energy adjustment coefficient , the temperature difference between devices , thermal stability adjustment parameters ;

[0092] According to the formula: ;

[0093] The result shows that the adjusted thermal power value of the equipment is 445.34W, which represents the actual power demand of the equipment. Under the action of the thermal energy control parameters, the equipment power is reasonably adjusted, so that the thermal stability of the equipment is optimized, and finally the thermal energy control value is more in line with the actual working conditions of the equipment.

[0094] Combine the thermal energy control data set between devices with the thermal stability matching results, distribute the thermal energy between devices, optimize and match the required balance and stability requirements, and obtain the thermal energy distribution control parameter set;

[0095] The thermal energy regulation values ​​of multiple devices are summarized, and the power balance point between each device is obtained through simulation algorithm. The impact of different devices in the thermal power regulation process is analyzed. The thermal energy distribution is readjusted in combination with environmental changes, equipment load and other factors to ensure a stable thermal energy transfer balance between devices, avoid overheating or uneven cooling, obtain the thermal energy distribution control parameter set, and update the equipment's operating configuration to ensure the long-term stability and performance of the equipment.

[0096] See also Figure 4 , the specific steps for obtaining the pressure value and gradient change in the equipment cavity are:

[0097] Based on the heat energy distribution control parameter set, the temperature data in the equipment cavity is extracted, the temperature points in each time period are screened, and the temperature fluctuation is analyzed by combining the temperature change trend of the differentiated positions in the cavity to obtain the temperature data in the equipment cavity;

[0098] In actual operation, the temperature data in the equipment cavity will be recorded in time series and divided into multiple stages according to the set time window, so as to analyze the temperature fluctuations in each time period. The temperature data of each position in the cavity is obtained by the temperature sensor, and the temperature trend analysis is performed in combination with its differentiated position. By comparing the temperature fluctuation amplitudes in different time periods, the uneven temperature distribution in the cavity can be identified, which helps to discover potential temperature control problems. The temperature data of each time period is screened, and effective fluctuation information is extracted to eliminate errors or abnormal data. In the process of analyzing temperature changes, the temperature difference data can be used to infer the temperature rise and fall trend in the cavity, and then the heat energy distribution control strategy is adjusted according to the temperature fluctuations in different parts to ensure that the temperature in the equipment cavity remains in the ideal range, so as to achieve the best extraction effect in the extraction process of Chinese medicinal materials. The extraction and processing of data provides an important temperature reference basis for the subsequent pressure distribution analysis.

[0099] Based on the temperature data in the equipment cavity, each temperature point and the corresponding pressure value are calculated. By analyzing the relationship between temperature and pressure, the pressure change at each measuring point is identified. Combined with the equipment structure parameters, the pressure changes at different positions are compared to obtain the pressure distribution and gradient distribution data.

[0100] The importance of correlation analysis between temperature data and pressure values ​​in the extraction process of Chinese medicinal materials cannot be ignored. Each temperature point corresponds to a pressure value at a specific location. By collecting temperature data and pairing it with the corresponding pressure value, a functional relationship between temperature and pressure can be established. For each measurement point, the impact of its temperature change on pressure is analyzed. By comparing the temperature data and pressure values ​​at different locations, the law of pressure change can be identified. Combined with equipment structural parameters, such as cavity size, volume change, etc., the pressure changes at differentiated locations are compared. By calculating the pressure change, the range and trend of the pressure gradient can be clarified, which is crucial to optimizing the pressure distribution inside the equipment. This process will help engineers identify unexpected pressure fluctuations and optimize equipment performance by reasonably adjusting the pressure configuration to ensure stable internal pressure during the extraction of Chinese medicinal materials, thereby improving the extraction efficiency and the concentration of the effective ingredients of the medicinal materials, and obtaining pressure distribution and gradient distribution data.

[0101] Based on the pressure distribution and gradient distribution data, analyze the overall pressure distribution in the equipment cavity, optimize the pressure gradient in combination with the temperature data, analyze the impact of pressure changes on equipment performance, determine the stable pressure configuration under differentiated operating conditions, and obtain the pressure value and gradient change in the equipment cavity;

[0102] First, the pressure values ​​and gradient changes obtained in the previous steps are used to draw the overall pressure distribution diagram in the equipment cavity. According to the pressure data of each measuring point, the pressure in the equipment cavity is comprehensively scanned, and the law of pressure distribution is analyzed in combination with the temperature data in the cavity. By comparing the pressure differences in different areas, the pressure gradient is optimized so that the pressure in each area can change stably within the design requirements of the equipment. The details of the equipment structural parameters must also be taken into account, especially for the pressure changes in high-pressure and low-pressure areas. The influence of structural parameters on pressure fluctuations can be adjusted by finely adjusting the ratio of temperature and pressure to ensure the stability of the equipment under different operating conditions. The uniform distribution of pressure inside the equipment and the precise control of temperature will directly affect the effect and speed of Chinese medicinal materials extraction. Therefore, the pressure value and gradient change in the equipment cavity are obtained by optimizing the pressure value and gradient.

[0103] See also Figure 5 , the specific steps for obtaining the pressure control optimization parameter set are:

[0104] Based on the pressure value and gradient change in the equipment cavity, determine the time series of pressure change, compare the current pressure value with the original pressure data, analyze the pressure gradient at each moment, and define the corresponding threshold according to the equipment status partition to generate a preliminary pressure change parameter set;

[0105] The pressure value and gradient change data in the equipment cavity are collected through pressure sensors and temperature detectors. The pressure change and gradient change of each data point need to be calculated considering the fluctuations in different time periods. The pressure change at each time point is determined by differential processing of the collected pressure data, and the pressure change trend in the cavity is estimated according to the different operating stages of the equipment. In particular, data collection under extreme conditions such as high temperature and high pressure should pay special attention to the impact of factors on pressure fluctuations. The pressure value at each moment is then compared with the corresponding historical data to identify abnormal fluctuation points, analyze and determine whether the cavity pressure meets the expected standard range, and further collect and process the time series of pressure changes to ensure data stability and accuracy, and generate a preliminary pressure change parameter set.

[0106] The preliminary pressure variation parameter set was analyzed to analyze the effect of the cavity pressure on the stability of the equipment power output, and the correlation between pressure and power output was identified using the formula:

[0107] ;

[0108] The section power stability influence coefficient is calculated;

[0109] in, is the pressure value at time i, is the time interval, is the power output value at time i, S represents the influence coefficient of section power stability, and n represents the total number of time points;

[0110] The benefit of the formula is that, by introducing the correlation between pressure gradient and power change, it can more accurately reflect the effect of the equipment cavity pressure on the power output stability;

[0111] In this formula, S represents the power stability influence coefficient, is the pressure value at time i, For the moment The pressure value, is the time interval of pressure change, is the power output value at time i, For the moment The power output value;

[0112] The formula estimates the power stability coefficient by calculating the product of the pressure gradient and the power gradient. According to the monitored pressure data and power data, a time interval is selected. arrive , get the corresponding pressure value and power output ;

[0113] For example, suppose the pressure change from 1 second to 2 seconds is bar, the power output change is W, the time interval is seconds, then the power stability influence coefficient S in this period is:

[0114] ;

[0115] The result shows that the impact of cavity pressure changes on power output during this period is 10, which means that during this period, the impact of pressure changes on power output is more significant, reflecting the stability risk of the equipment. By accumulating the S values ​​of all time periods, the power stability influence coefficient in the entire interval can be obtained, thereby further evaluating the optimization effect of pressure control.

[0116] By analyzing the influence coefficient of section power stability and combining the cavity pressure change parameters, the pressure distribution balance is adjusted, the pressure control data is optimized, and the pressure control optimization parameter set is generated;

[0117] By analyzing the power stability influence coefficient of each section of the equipment and comparing the influence of each pressure section, especially for the area with large pressure gradient, which will cause unstable power output, the pressure of the area will be adjusted to ensure that the pressure distribution inside the cavity is more balanced, thereby improving the stability of the equipment. When optimizing the balance of pressure distribution, the stability of power output will be used as the main reference, and the stability influence coefficient obtained above will be used to make decisions, adjust those pressure sections with greater influence, and finally generate an optimization plan that can effectively improve the stability of equipment power output, and adjust the pressure parameters inside the cavity according to actual conditions to generate a pressure control optimization parameter set.

[0118] See also Figure 6 , the specific steps for obtaining the results of solvent dynamic regulation are:

[0119] Based on the pressure control optimization parameter set, the solvent adsorption data on the medicinal material surface is extracted, the adsorption rate of the solvent on the surface of differentiated materials is monitored, the diffusion characteristics of the solvent are inferred by combining the external environmental factors of time and temperature, the adsorption and diffusion rate coefficients are defined, and the adsorption and diffusion dynamic parameter set is generated;

[0120] In the detection of solvent adsorption on the surface of the equipment cavity, high performance liquid chromatography (HPLC) and scanning electron microscopy (SEM) techniques are used for precise analysis. The adsorption rate of the solvent is closely related to the microstructural characteristics of the medicinal materials. The structural characteristics include porosity, surface roughness, etc. The surface image is obtained by scanning electron microscopy, and then its porosity is analyzed by image processing software. The surface roughness is calculated by the specific surface area test method. By comparing the adsorption of different medicinal materials in solvents, the adsorption constant of each medicinal material can be obtained. The constant reflects the interaction force between the solvent and the medicinal material surface. In order to accurately quantify the diffusivity of the solvent on the surface of the medicinal material, the diffusion rate of the solvent on the surface was calculated based on Fick's diffusion law and the relationship between the diffusion coefficient of the solvent and factors such as temperature and concentration. During the experiment, the diffusion coefficient of the solvent was 0.0015cm2 / s (obtained through standard experiments), and data fitting was performed according to the diffusion characteristics of different medicinal material surfaces to obtain the corresponding diffusion rate. Combined with the actual data, the adsorption and diffusion dynamic parameter set of the solvent was finally obtained. According to the surface characteristics of the solvent and the medicinal material, the input rate of the solvent was further adjusted to ensure the stability and efficiency of the extraction process, to ensure that the solvent can completely cover the surface of the medicinal material and improve the extraction effect.

[0121] The influence of the adsorption-diffusion dynamic parameter set on the solvent flow rate and distribution was analyzed. According to the requirements of the solvent concentration distribution on the medicinal material surface, the ratio between the flow rate path and the solvent input rate was optimized using the formula:

[0122] ;

[0123] Calculate the adjustment coefficient of the solvent concentration distribution trend and generate the solvent concentration control result;

[0124] Where R represents the adjustment coefficient of the solvent concentration distribution trend, represents the solvent concentration of the kth segment, is the solvent flow rate of the kth segment, is the flow time of the solvent in the segment, and m represents the number of segments;

[0125] The benefit of the formula is that by introducing the relationship between solvent concentration and flow rate, the flow and distribution of the solvent can be accurately controlled, thereby optimizing the effect of medicinal material extraction;

[0126] The surface of the medicinal material is divided into three sections, and the solvent concentration of each section is given separately. , flow rate and solvent flow time ;

[0127] In the first section, the solvent concentration was 0.8 mol / L, the flow rate was 2 cm³ / min, and the flow time was 10 min;

[0128] In the second section, the solvent concentration was 1.0 mol / L, the flow rate was 2.5 cm³ / min, and the flow time was 12 min;

[0129] In the third section, the solvent concentration was 1.2 mol / L, the flow rate was 3.0 cm³ / min, and the flow time was 14 min;

[0130] Substitute the data into the formula to calculate:

[0131] ;

[0132] ;

[0133] ;

[0134] The results show that the combined optimization of solvent concentration and flow rate can effectively improve the uniformity of solvent distribution during the extraction process. By adjusting the flow rate path ratio, the solvent concentration and flow rate can be more accurately controlled, thereby maximizing the dissolution effect and extraction efficiency of medicinal materials.

[0135] Analyze the results of solvent concentration control, adjust the proportional relationship between solvent input rate and flow rate path, allocate the distribution trend of solvent concentration, combine adsorption and diffusion parameters with adjustment coefficient, and obtain the results of solvent dynamic control;

[0136] According to the adsorption and diffusion characteristics of the medicinal material surface and the optimized ratio of the solvent flow path, the input rate of the solvent and the distribution of the flow path will be further adjusted. Through multiple experimental simulations, combined with different combinations of solvent concentrations and flow rates, the effects on the extraction effect of medicinal materials are studied. Several different solvent input rates and flow path distribution ratios are set for experiments. For a certain type of medicinal material, the solvent input rate is set to 3mL / min and the flow path is set to 2cm / min. Under this configuration, the observed solvent adsorption and extraction efficiency reaches 80%. By adjusting the parameters and testing new combinations of solvent input rate and flow path ratios, the solvent utilization rate of the medicinal material is further optimized, and the relationship between the extraction time and the amount of solvent used is observed. The experimental results show that under specific conditions, adjusting the solvent flow path ratio can effectively increase the contact area between the solvent and the medicinal material, thereby improving the extraction efficiency. Through a series of adjustments, the dynamic regulation process of medicinal material extraction is optimized, and the solvent dynamic regulation results are generated, so that the best solvent usage effect and extraction quality can be achieved in actual extraction.

[0137] See also Figure 7 ,The specific steps for obtaining the abnormal intervention adjustment data set are:

[0138] Based on the results of dynamic solvent regulation, the monitoring equipment monitors the temperature fluctuation rate and pressure offset in the extraction process in real time, identifies the fluctuation range, eliminates abnormal values ​​of equipment failure, analyzes the average fluctuation rate of the data, and obtains temperature and pressure fluctuation data;

[0139] First, it is necessary to continuously collect data through temperature sensors and pressure sensors. The temperature sensor accurately measures the temperature inside the equipment through thermocouple elements and records the real-time temperature data in the data acquisition system. The pressure sensor is installed at a key position of the equipment and can monitor the pressure fluctuations during the entire extraction process. After collecting the pressure data, the standard deviation formula is used to calculate the fluctuation rate of temperature and pressure to ensure that the collected data does not have extreme values ​​due to equipment failure or data errors. After cleaning, the valid data is extracted by comparing and analyzing the fluctuation values ​​in each time period, from which the temperature and pressure fluctuation ranges are calculated, and finally the temperature and pressure fluctuation data are obtained. Through the statistics of the fluctuation data, we can better understand the potential impact of temperature and pressure fluctuations on the dissolution rate of medicinal materials, and provide data support for subsequent adjustments.

[0140] Analyze the influence of temperature and pressure fluctuation range on the dissolution rate of Chinese medicinal materials. Use the known dissolution rate of medicinal materials to analyze the relationship between pressure and temperature, and calculate the dissolution rate under the differentiated fluctuation range. The formula is:

[0141] ;

[0142] Obtain dissolution rate impact data;

[0143] Where D represents the dissolution rate, y is a constant, is the average temperature, is the average pressure value, Q is the current pressure value, is the maximum pressure value;

[0144] The benefit of the formula is that by introducing the functional relationship between temperature and pressure, the effect of different fluctuation ranges on the dissolution rate of medicinal materials can be accurately calculated within the range of variation, thereby providing a scientific basis for subsequent solvent allocation and adjustment;

[0145] Assume that in a certain extraction process, the dissolution rate of the medicinal material is set to D, and the dissolution rate is adjusted according to the average value of temperature and pressure. The average value of the set temperature is The average pressure is , current pressure value , the maximum pressure is , and set the constant ;

[0146] Substitute the values ​​into the formula to calculate: ;

[0147] The calculation process is: ;

[0148] The results show that fluctuations in temperature and pressure directly affect the dissolution rate of medicinal materials. Adjusting the temperature-pressure ratio can effectively control the dissolution rate, which in turn affects the final extraction efficiency. In actual operation, the parameters can be dynamically adjusted according to the temperature and pressure fluctuations of the current extraction process to ensure the maximum extraction of medicinal components.

[0149] According to the dissolution rate impact data, the solvent distribution path and temperature-pressure ratio within the target range are dynamically adjusted. According to the relationship between the dissolution rate impact data and the temperature and pressure fluctuation range, the solvent flow rate and temperature control range are allocated to generate an abnormal intervention adjustment data set.

[0150] First, the solvent input rate is gradually adjusted to optimize the contact between the solvent and the medicinal materials, and a suitable solvent distribution path is set. After calculating the dissolution rate, the solvent flow rate in each area is adjusted according to the obtained dissolution rate impact data. Assume that in a certain experiment, the solvent flow rate path is adjusted to 1.5cm / min, and this is used as a benchmark to test the impact of different temperature-pressure ratios on the extraction efficiency. Based on the data, the solvent flow rate and temperature-pressure control within the target range are further optimized, and finally the optimal solvent distribution path and adjustment plan that adapts to temperature and pressure fluctuations are obtained. In actual applications, by monitoring temperature and pressure data, adjusting the solvent distribution path and solvent input rate, and dynamically adjusting the temperature-pressure ratio, an abnormal intervention adjustment data set that adapts to fluctuations is generated to ensure that each extraction can be completed under optimal conditions.

[0151] See also Figure 8 , the specific steps for obtaining the Chinese herbal medicine target component extraction data table are:

[0152] Based on the abnormal intervention adjustment data set, the target component distribution and extraction time of Chinese herbal medicines were analyzed, the component concentration data at different extraction time points were collected, the component time distribution was sorted out, the concentration change trend was analyzed and the data was classified to obtain the Chinese herbal medicine component distribution data;

[0153] First, it is necessary to collect sample data at different extraction time points, and measure the concentration value of the target component at each time point. The data collected at each time point needs to be accurately measured by methods such as high-performance liquid chromatography (HPLC) to ensure the reliability of the concentration data. After the data collection is completed, it is sorted according to the extraction time to form a complete time series data set. By visualizing the concentration data at different time points, a curve chart of the component concentration changing with time is drawn, and the changing trend of the component at different times is analyzed. The data set is classified and the component concentrations in different time periods are classified into multiple groups according to the change characteristics to identify the time periods when the component concentration increases or decreases. This will help reveal the time distribution characteristics of each component during the extraction process, obtain the distribution data of Chinese medicinal materials components, and provide data support for further extraction optimization.

[0154] Based on the distribution data of Chinese medicinal materials, the target extraction path parameters are adjusted, the optimal extraction time and concentration distribution of Chinese medicinal materials are analyzed, and the operating conditions of extraction temperature, time, and solvent concentration are adjusted by comparing the concentration changes under differentiated extraction conditions to obtain the target extraction path parameters;

[0155] First, to evaluate the concentration changes of target components under different extraction conditions, it is necessary to use statistical analysis methods to compare the component concentration data under various extraction conditions in different time periods, find out the rules of component concentration changes, and conduct cross-analysis on the concentration changes under different extraction temperatures, times and solvent concentrations to find out the factors that have the greatest impact on the component extraction effect. By comprehensively considering these factors, targeted adjustment suggestions are put forward to determine the optimal extraction time, temperature and solvent concentration, and adjust the extraction path parameters on this basis. The adjustment of the extraction path parameters at this time depends on the support of the previous component distribution data to ensure that the adjusted extraction conditions can improve the extraction efficiency and purity of the target components, and obtain the target extraction path parameters, which can effectively guide the extraction process and achieve the purpose of optimizing the extraction of Chinese medicinal materials.

[0156] Based on the target extraction path parameters, the extraction conditions are adjusted according to the current operating parameters, the variable relationship between extraction time, temperature, and solvent concentration is controlled, and real-time extraction is performed according to the adjusted parameters to obtain the target component extraction data table of Chinese medicinal materials;

[0157] First, according to the adjusted target extraction path parameters, set the equipment operating conditions, including extraction temperature, time and solvent concentration. The core task of the first stage is to ensure that the variable relationship in the extraction process meets expectations by accurately controlling various operating parameters. Real-time data collection during the extraction process is crucial. The equipment needs to have the ability to monitor temperature, time and solvent concentration in real time. Through sensors and data acquisition systems, the relevant parameters and concentration data of the extract at each moment in the extraction process are recorded in real time. The data is sorted and output as a data table for the extraction of target components of Chinese medicinal materials. This data table not only contains the concentration data of each extraction period, but also includes the types and contents of components extracted under these conditions. Accurate recording of data can provide a basis for further optimizing the extraction conditions and provide data support for intelligent control in production.

[0158] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent control system for extracting Chinese medicinal materials, characterized in that: The system comprises: The heat energy distribution control module calls the equipment's heat power output parameters, the temperature difference of Chinese herbal medicine extraction, and the circulation path flow rate data according to the operation status information of the Chinese herbal medicine extraction equipment, analyzes the matching degree between the heat power distribution and the thermal stability, allocates the equipment's heat energy regulation value and circulation balance parameters, and generates a heat energy distribution control parameter set; The steps for obtaining the heat energy distribution control parameter set are specifically as follows: Based on the matching degree between the thermal power distribution and thermal stability, the thermal energy transmission and stability changes of the equipment under differentiated operating conditions are analyzed, and the thermal power distribution of the equipment is weightedly calculated to obtain the preliminary thermal energy regulation requirements of the equipment; Based on the preliminary thermal energy control requirements of the equipment, analyze the thermal energy balance between the equipment, identify the relationship between the heat transfer efficiency and load distribution between the equipment, and correct the thermal energy control parameters of the equipment using the formula: ； Calculate the thermal power value of the equipment after adjustment to obtain the thermal energy control data set between the equipment; in, Represents the thermal power value of the device after adjustment. represents the maximum thermal power, is the heat energy adjustment coefficient, is the temperature difference between devices, is the thermal stability adjustment parameter; Combining the inter-device thermal energy regulation data set with the thermal stability matching result, the thermal energy between the devices is distributed, the required balance and stability requirements are optimized and matched, and a thermal energy distribution control parameter set is obtained; The pressure environment optimization module extracts the pressure value and gradient change in the equipment cavity based on the thermal energy distribution control parameter set, analyzes the influence of the power output of the pressure device on the stability, adjusts the balance of the cavity pressure distribution, and generates a pressure control optimization parameter set; The solvent dynamic adjustment module analyzes the adsorption and diffusion of the solvent on the surface of the Chinese medicinal material based on the pressure control optimization parameter set, adjusts the solvent input rate and the flow rate path distribution ratio, redistributes the distribution trend and dynamic parameter value of the solvent concentration, and generates a solvent dynamic adjustment result; The extraction abnormality intervention module extracts the real-time temperature fluctuation rate and pressure offset in the extraction process of Chinese medicinal materials based on the results of the dynamic control of the solvent, analyzes the influence of the fluctuation range on the dissolution rate of the components of the Chinese medicinal materials, dynamically adjusts the solvent distribution path and the temperature-pressure ratio within the target range, and generates an abnormality intervention adjustment data set; The component extraction quality improvement module adjusts the data set based on the abnormal intervention, analyzes the distribution ratio and extraction time of the target components of the Chinese medicinal materials, adjusts the parameters of the target extraction path, and generates a Chinese medicinal material target component extraction data table.

2. The intelligent control system for extracting Chinese medicinal materials according to claim 1, characterized in that: The steps for obtaining the degree of matching between the thermal power distribution and the thermal stability are specifically as follows: According to the operation status information of the Chinese herbal medicine extraction equipment, the thermal power output parameters, temperature difference data and circulation path flow rate data of the equipment are extracted, the time window is set, the time point matching data is selected, and the thermal power output parameters and temperature difference data are obtained by comparing the data correlation and performing data screening; Based on the thermal power output parameters and the temperature difference data, the path is matched and checked, the difference between the thermal power and the temperature difference is calculated, the thermal power distribution and the temperature difference distribution are corrected in combination with the flow rate change, and the path parameters are adjusted according to the influence of the flow rate on the data to obtain the matching of the thermal power and the temperature difference; Based on the matching of thermal power and temperature difference, a thermal stability analysis is performed, and thermal stability analysis standards are set. Combined with the dynamic changes of equipment operation, the power distribution under differentiated flow rate conditions is evaluated, the stability indicators are compared and the flow rate conditions are optimized to obtain the matching degree of thermal power distribution and thermal stability.

3. The intelligent control system for extracting Chinese medicinal materials according to claim 1, characterized in that: The steps for obtaining the pressure value and gradient change in the device cavity are specifically as follows: Based on the heat energy distribution control parameter set, the temperature data in the equipment cavity is extracted, the temperature points in each time period are screened, and the temperature fluctuation is analyzed in combination with the temperature change trend of the differentiated positions in the cavity to obtain the temperature data in the equipment cavity; Based on the temperature data in the cavity of the device, each temperature point and the corresponding pressure value are calculated, and the pressure change at each measuring point is identified by analyzing the relationship between temperature and pressure. Combined with the device structural parameters, the pressure changes at different positions are compared to obtain pressure distribution and gradient distribution data; Based on the pressure distribution and gradient distribution data, the overall pressure distribution in the equipment cavity is analyzed, the pressure gradient is optimized in combination with the temperature data, the impact of pressure changes on equipment performance is analyzed, the stable pressure configuration under differentiated operating conditions is determined, and the pressure value and gradient change in the equipment cavity are obtained.

4. The intelligent control system for extracting Chinese medicinal materials according to claim 3, characterized in that: The steps for obtaining the pressure control optimization parameter set are specifically as follows: Based on the pressure value and gradient change in the cavity of the device, determine the time series of pressure change, compare the current pressure value with the original pressure data, analyze the pressure gradient at each moment, and define corresponding thresholds according to the device state partition to generate a preliminary pressure change parameter set; The preliminary pressure variation parameter set is analyzed to analyze the effect of the pressure in the cavity on the stability of the power output of the device, and the correlation between pressure and power output is identified using the formula: ; The section power stability influence coefficient is calculated; in, is the pressure value at time i, is the time interval, is the power output value at time i, Represents the section power stability influence coefficient, Indicates the total number of moments; By analyzing the power stability influence coefficient of the section and combining the cavity pressure change parameters, the pressure distribution balance is adjusted, the pressure control data is optimized, and a pressure control optimization parameter set is generated.

5. The intelligent control system for extracting Chinese medicinal materials according to claim 4, characterized in that: The steps for obtaining the solvent dynamic regulation result are specifically as follows: Based on the pressure control optimization parameter set, the solvent adsorption data on the medicinal material surface is extracted, the adsorption rate of the solvent on the surface of the differentiated material is monitored, the diffusion characteristics of the solvent are inferred by combining the external environmental factors of time and temperature, the adsorption and diffusion rate coefficients are defined, and the adsorption and diffusion dynamic parameter set is generated; The influence of the adsorption-diffusion dynamic parameter set on the solvent flow rate and distribution was analyzed, and the ratio between the flow rate path and the solvent input rate was optimized according to the requirements of the solvent concentration distribution on the medicinal material surface, using the formula: ; Calculate the adjustment coefficient of the solvent concentration distribution trend and generate the solvent concentration control result; in, The adjustment coefficient representing the solvent concentration distribution trend, represents the solvent concentration of the kth segment, is the solvent flow rate of the kth segment, is the flow time of the solvent in the segment, Indicates the number of segments; The solvent concentration control result is analyzed, the proportional relationship between the solvent input rate and the flow rate path is adjusted, the distribution trend of the solvent concentration is allocated, and the solvent dynamic control result is obtained by combining the adsorption diffusion parameters and the adjustment coefficient.

6. The intelligent control system for extracting Chinese medicinal materials according to claim 5, characterized in that: The steps for obtaining the abnormal intervention adjustment data set are specifically as follows: Based on the results of the dynamic control of the solvent, the monitoring equipment monitors the temperature fluctuation rate and pressure offset in the extraction process in real time, identifies the fluctuation range, eliminates abnormal values ​​of equipment failure, analyzes the average fluctuation rate of the data, and obtains temperature and pressure fluctuation data; The influence of the temperature and pressure fluctuation range on the dissolution rate of the Chinese medicinal materials was analyzed. The relationship between pressure and temperature was analyzed using the known dissolution rate of the medicinal materials. The dissolution rate under the differentiated fluctuation range was calculated using the formula: ; Obtain dissolution rate impact data; in, represents the dissolution rate, is a constant, is the average temperature, is the average value of pressure, is the current pressure value, is the maximum pressure value; According to the dissolution rate influence data, the solvent distribution path and temperature-pressure ratio within the target range are dynamically adjusted. According to the relationship between the dissolution rate influence data and the temperature and pressure fluctuation range, the solvent flow rate and temperature control range are allocated to generate an abnormal intervention adjustment data set.

7. The intelligent control system for extracting Chinese medicinal materials according to claim 6, characterized in that: The steps for obtaining the Chinese herbal medicine target component extraction data table are specifically as follows: Based on the abnormal intervention adjustment data set, target component distribution and extraction time analysis of Chinese medicinal materials are performed, component concentration data at differentiated extraction time points are collected, component time distribution is sorted out, concentration change trends are analyzed and data are classified to obtain Chinese medicinal materials component distribution data; Based on the distribution data of the components of the Chinese medicinal materials, the target extraction path parameters are adjusted, the optimal extraction time and concentration distribution of the components of the Chinese medicinal materials are analyzed, and the operating conditions of the extraction temperature, time, and solvent concentration are adjusted by comparing the concentration changes under the differentiated extraction conditions to obtain the target extraction path parameters; Based on the target extraction path parameters, the extraction conditions are adjusted according to the current operating parameters, the variable relationship between extraction time, temperature and solvent concentration is controlled, and real-time extraction is performed according to the adjusted parameters to obtain a data table of target component extraction of Chinese medicinal materials.

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