Communication control method and system in traditional Chinese medicine extraction process

Abstract

The invention relates to the technical field of traditional Chinese medicine extraction, in particular to a communication control method and system in the traditional Chinese medicine extraction process, and the method comprises the following steps: S1, technological parameter monitoring and recording, S2, data-based judgment and analysis, S3, communication control strategy making and execution, and S4, abnormal condition monitoring and early warning processing. In each time sequence section of traditional Chinese medicine extraction, refractive index change values at the beginning and the end are accurately measured and compared, and through a set threshold value, specifically in a soaking time sequence section, when the refractive index change exceeds the set threshold value, it can be accurately affirmed that the extraction process is started; and at the later stage of extraction, the extraction end point is accurately judged according to the change trend of the refractive index and the stability of continuous measurement, so that the problem of insufficient extraction or excessive extraction caused by inaccurate judgment is effectively avoided, the stability of the quality of the extract is ensured, and the production efficiency is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traditional Chinese medicine extraction, and in particular to a communication control method and system in a traditional Chinese medicine extraction process. Background Art

[0002] Traditional Chinese medicine extraction is a key link in the field of traditional Chinese medicine pharmaceutical manufacturing. Its process is highly complex and involves the fine regulation of multiple technologies and numerous parameters. In recent years, with the continuous development of the pharmaceutical industry and the increasing market requirements for the quality and output of traditional Chinese medicine products, traditional Chinese medicine extraction technology has also continued to evolve. However, in actual production scenarios, the traditional Chinese medicine extraction process still faces many problems that need to be solved. Among them, accurately determining the starting and end points of the extraction is of fundamental importance to ensuring the quality of the extract, improving production efficiency, and rationally utilizing resources.

[0003] Under the existing technical conditions, the extraction process of traditional Chinese medicine has obvious deficiencies in many aspects. First, in the judgment of the starting point and end point of extraction, the methods adopted by most enterprises lack sufficient accuracy and comprehensiveness. Usually only a limited number of parameters are relied on, such as simple temperature or time changes, without fully considering the complexity of the extraction system of traditional Chinese medicine. This single parameter or simple empirical judgment method is difficult to accurately capture the key nodes of material changes in the extraction process, which can easily lead to the extraction starting too late or too early, inaccurate end point judgment, and then cause problems such as insufficient or excessive extraction, which seriously affect the stability of product quality and the effective use of resources. Secondly, the control of process parameters lacks real-time and accuracy. During the extraction process, due to the lack of effective real-time monitoring and dynamic adjustment mechanism, it is impossible to optimize the process parameters in time according to the actual situation, and it is difficult to meet the diversified needs of different traditional Chinese medicine varieties and extraction processes. Furthermore, the monitoring and processing capabilities of abnormal situations are limited. When equipment fails or process parameters are abnormal, they are often not discovered and effectively responded to in time, resulting in production interruption and product quality decline, which not only increases production costs, but also has a negative impact on the economic benefits of enterprises and the competitiveness of products in the market. To this end, we propose a communication control method and system in the extraction process of traditional Chinese medicine. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a communication control method and system in a traditional Chinese medicine extraction process, thereby solving the technical problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] A communication control method in a traditional Chinese medicine extraction process, the method comprising the following steps:

[0007] S1. Process parameter monitoring and recording: Use refractometer, temperature sensor, liquid level sensor and pressure sensor to monitor the refractive index, temperature, liquid level and pressure changes of the extract respectively, set the refractive index threshold ε to 0.005, judge the start and end of extraction according to the changes of each sensor parameter, divide the extraction process into soaking, heating, extraction, cooling time segments, record the key process parameters of each time segment, measure the refractive index at the beginning and end of each time segment, compare the change value Δn, set the threshold according to the type of Chinese medicine to judge the start and end of extraction, and establish the judgment formula Where S represents the state;

[0008] S2. Judgment and analysis based on data: Establish an association table containing the name of traditional Chinese medicine, characteristic ingredients, applicable extraction process and typical process parameter range; the transmission end sends data to the central control unit at intervals of one minute, and the central control unit sorts the data according to the timestamp and matches it with the association table, and makes a comprehensive judgment based on multiple process parameters; Combine the change of refractive index with the trend of process parameter changes, and determine the extraction starting point and end point by establishing a temperature and extraction time correlation formula;

[0009] When (Δn≥Δn min )∩(r T ≥r min2 )∩(v h ≥v min3 ), it is determined that the effective ingredients of traditional Chinese medicine are extracted, wherein r T is the temperature change rate, v h is the rate of change of liquid level, Δn min is the lower limit of the refractive index change threshold, r min2 is the lower limit of the temperature change rate at the beginning of extraction, v min3 It is the lower limit of the liquid level rising rate during the immersion stage;

[0010] When the refractive index, temperature change rate, liquid level change rate and pressure value meet the following conditions (Δn min ≤Δn≤Δn max )∩(-r max3 ≤r T ≤r min3 )∩(v min4 ≤v h ≤v max3 )∩(p min3 ≤p≤p max4 ) determines that the extraction process is normal, where r max3 is the maximum rate of change of temperature allowed during the extraction process, v min4 is the lower limit of the liquid level drop rate in the extraction stage, v max3 is the upper limit of the liquid level drop rate during the extraction phase, p min3 is the lower limit of pressure during extraction, p max4 The upper limit of pressure during the extraction process;

[0011] When (Δn≤Δn end )∩(t≥t max )∩(v h ≤v end ), it is determined that the extraction end point has been reached, where Δn end To extract the endpoint refractive index change threshold, t max is the upper limit of the extraction time determined based on historical data, v end To extract the endpoint liquid level drop rate threshold;

[0012] S3. Communication control strategy formulation and execution: The central control unit analyzes historical data every week, establishes a relationship model between process parameters and quality indicators, determines the optimal process parameter range according to production needs, and adjusts it considering equipment and environmental factors; the central control unit receives data in real time, selects wired or wireless communication methods to communicate with equipment according to the workshop network layout, sends control instructions when parameters are abnormal, monitors equipment status and adjusts strategies;

[0013] S4. Abnormal situation monitoring and early warning processing: monitor the operating status of the equipment's mechanical and electrical systems, and determine abnormalities through sensor monitoring; classify abnormal situations and take corresponding processing measures respectively; issue early warning signals when abnormalities occur, record detailed information, automatically or guide manual intervention, and record the process and results after processing.

[0014] In a possible implementation, in the process parameter monitoring and recording step, a refractometer continuously measures the refractive index change of the extract, and when the refractive index change measured for 3-5 consecutive times is less than a threshold value and the trend is stable, it assists in judging the start of the extraction or entering a plateau period.

[0015] In a possible implementation, in the process parameter monitoring and recording step, a temperature sensor measures the temperature of the extracting solution, and during the heating extraction process, the start and end of the extraction are determined based on the temperature change rate combined with other parameters.

[0016] In a possible implementation, in the communication control strategy formulation and execution step, the mathematical model established by the central control unit is a relationship model Q=aT between the extract quality evaluation index and the extraction temperature, extraction time and other process parameters that may affect the quality. 2 +bL+cP+d, where Q represents the extract quality evaluation index, T is the extraction temperature, L is the extraction time, P represents other process parameters that may affect the quality, and a, b, c, and d are regression coefficients determined by the data analysis algorithm.

[0017] In a possible implementation, a communication control system in a traditional Chinese medicine extraction process specifically includes the following modules:

[0018] Data acquisition module: collects data from sensors at a high frequency of once every 0.1 seconds, and cleans and calibrates the collected refractive index, temperature, liquid level, and pressure data respectively. Refractive index data cleaning is based on statistical principles to determine abnormalities and trend consistency. Temperature data cleaning sets dynamic thresholds based on temperature characteristics at different stages. Liquid level data is smoothed using the moving average method. Pressure data calculates the average and standard deviation and determines abnormalities based on the safety range.

[0019] Central processing module: Combine the refractive index change, temperature change rate and liquid level change to determine the extraction starting point, determine whether the extraction process is normal during the extraction sequence, and determine the extraction end point based on the refractive index change, extraction time and liquid level change;

[0020] Communication module: Select wired or wireless communication mode according to the workshop network layout and equipment distribution to ensure stable and efficient data transmission, follow reliable communication protocols, and ensure data integrity and real-time performance;

[0021] Control execution module: converts the control instructions of the central processing module into equipment operation actions, and feeds back the actual execution results of the equipment after execution to achieve closed-loop control;

[0022] Early warning module: When the central processing module determines an abnormality, it sends out early warning signals in various ways, records the abnormality details, and records the process and results after processing.

[0023] In a possible implementation, the data acquisition module cleans and calculates the average value of the refractive index data. and standard deviation σ n , the calculation formula is as follows: when Judgement i It is abnormal data; during the heating and temperature rise stage, the temperature rise rate range is set to 0.5℃-2℃, and the temperature upper limit 100℃ and lower limit 20℃ are considered.

[0024] In a possible implementation, in the central processing module, the lower limit of the refractive index change threshold for determining the start of extraction is 0.001, the lower limit of the temperature change rate at the start of extraction is 0.1°C / min, and the lower limit of the liquid level rise rate in the immersion stage is 0.02m / min; the upper limit of the refractive index change threshold for determining whether the extraction is normal is 0.005, the maximum allowable temperature change rate during the extraction process is 0.05°C / min, the lower limit of the liquid level drop rate in the extraction stage is -0.003m / min, the upper limit is -0.03m / min, the lower limit of the pressure is 0.2, and the upper limit is 0.4; the refractive index change threshold for determining the end point of extraction is 0.0005, the upper limit of the extraction time is 150 minutes, and the threshold for the liquid level drop rate at the end point of extraction is -0.001m / min.

[0025] In one possible implementation, the warning signal emitted by the warning module includes a high-decibel sound alarm, eye-catching flashing lights, a pop-up intuitive warning window, text messages or emails to notify relevant personnel, and records of equipment operating parameters and abnormal duration before the abnormality occurs.

[0026] Beneficial effects compared with the prior art:

[0027] 1. In this scheme, the close relationship between refractive index and substance concentration is utilized to accurately measure and compare the refractive index change values ​​at the beginning and end of each time period of Chinese medicine extraction. Through the set threshold, specifically in the soaking time period, when the refractive index change exceeds the set threshold, the start of the extraction process can be accurately determined; in the later stage of extraction, the extraction end point is accurately determined based on the refractive index change trend and the stability of continuous measurement. This method effectively avoids the problem of insufficient or excessive extraction caused by inaccurate judgment, ensures the stability of the extract quality, and significantly improves production efficiency;

[0028] 2. In this scheme, a detailed association table between Chinese medicine types and process parameters is established, real-time monitoring and in-depth analysis of data are carried out during the extraction process, and multiple parameters such as soaking time, extraction temperature, and pressure changes are comprehensively considered for accurate judgment. The central control unit establishes a mathematical model based on in-depth analysis of a large amount of historical data, thereby optimizing the communication control strategy and determining the optimal process parameter range;

[0029] 3. In this solution, by installing vibration sensors and current and voltage sensors at key locations to collect equipment operation data in real time, combined with abnormal judgment rules such as temperature and duration, abnormal situations can be discovered in a timely and accurate manner. Once an abnormality occurs, a comprehensive early warning mechanism is immediately activated, and detailed early warning information is sent to relevant personnel in a variety of ways. At the same time, corresponding measures are automatically taken or operators are guided to intervene effectively. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0031] Figure 1 It is a flow chart of the communication control method in the traditional Chinese medicine extraction process of the present invention;

[0032] Figure 2 It is a system diagram of the communication control system in the traditional Chinese medicine extraction process of the present invention. DETAILED DESCRIPTION

[0033] The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention can be implemented in various forms, so the present invention is not limited to the embodiments described below. In addition, in order to more clearly describe the present invention, components that are not connected with the invention will be omitted from the drawings.

[0034] The technical solution in the embodiment of the present application is to solve the problems of the above-mentioned background technology, and the overall idea is as follows:

[0035] Embodiment 1:

[0036] This embodiment introduces a communication control method in a traditional Chinese medicine extraction process, comprising the following steps:

[0037] S1. Process parameter monitoring and recording

[0038] S11.Instrument Introduction

[0039] During the extraction process of traditional Chinese medicine, the refractometer is used to monitor the changes in the refractive index of the extract. It is a high-precision detection instrument that can accurately reflect the changes in solute concentration. At the same time, it also involves temperature sensors for measuring the extraction temperature, liquid level sensors for monitoring the liquid level of the extract, and pressure sensors for monitoring pressure changes during the extraction process.

[0040] Refractometer: It is usually placed inside the extraction device in a light-proof and sealed environment. It is used to measure the refractive index change of the extract. The change in refractive index can reflect the change in the solute concentration in the extract, thereby judging the start and end of the extraction process. Specifically, in the early stage of extraction, the active ingredients in the medicinal materials gradually dissolve into the solvent, and the refractive index of the extract increases with the increase in solute concentration. After most of the soluble components in the traditional Chinese medicine are extracted, the refractive index change of the extract tends to be slow. By setting a suitable refractive index threshold Δn, assuming Δn is 0.005, when the refractive index change of 3-5 consecutive measurements with an interval of 5-10 minutes each time is less than the threshold and the change trend is stable, it can be preliminarily judged that the extraction has reached the starting point or entered a plateau period.

[0041] Temperature sensor: installed inside the extraction equipment, used to accurately measure the temperature change of the extraction liquid. Temperature is one of the important parameters that affect the extraction effect. At different extraction stages, the temperature of the extraction liquid may be different due to the dissolution and reaction of the substance. Specifically, during the heating extraction process, when the extraction reaches a certain stage, the rate of temperature change may gradually slow down due to the reduction of extractable substances. By monitoring the temperature change rate and combining other parameters, it can assist in judging the start and end of the extraction.

[0042] Liquid level sensor: installed in the extraction tank, used to monitor the changes in the liquid level of the extract in real time. The changes in the liquid level can reflect the changes in the liquid volume during the extraction process and the dissolution or precipitation of the material. Specifically, in the early stage of extraction, the water absorption and expansion of the medicinal materials may cause the liquid level to rise rapidly; as the extraction proceeds, if the liquid level continues to drop slowly (excluding factors such as leakage), it may mean that the water in the extract is gradually taken away or the solute is continuously precipitated, which may mean that the extraction is close to termination. At the same time, the data from the liquid level sensor can also be used to calculate parameters such as the evaporation rate of the liquid during the extraction process, providing a reference for process optimization.

[0043] Pressure sensor: used in closed extraction equipment to monitor pressure changes during the extraction process. Pressure changes may be affected by many factors, such as temperature changes, dissolution of substances and release of gases. When the pressure in the extraction equipment remains stable within 5-10 minutes and the fluctuation range is less than 0.2MPa, combined with other process parameters, it can also be used as one of the references for judging the start and end of extraction.

[0044] S12. Time segment division and recording

[0045] According to the different stages of the extraction process, the time in the extraction process is divided into different time segments:

[0046] Soaking time segment: from the start of adding water (or solvent) to the end of soaking, the corresponding process parameter is the soaking time. Record the soaking start time, soaking end time, soaking temperature (if temperature control is required), the initial liquid level of the soaking liquid, and the liquid level at the end (measured by the liquid level sensor).

[0047] Heating time sequence: from the start of heating to reaching the predetermined extraction temperature, the process parameters include the heating time and the highest temperature reached. The start time of heating, the time to reach the predetermined extraction temperature, the highest temperature and the volume change of the extract during the heating process are recorded (the evaporation or contraction of the liquid is monitored by the liquid level sensor).

[0048] Extraction timing segment: the time to maintain extraction at the predetermined extraction temperature. The process parameter is the extraction time. It records the extraction start time, extraction temperature, circulation flow rate of the extract during the extraction process (if the extraction equipment is equipped with a circulation device), and the liquid level fluctuation of the extract in the extraction tank.

[0049] Cooling sequence: After the extraction is completed, the temperature is cooled to below a certain level. The process parameters are the cooling time and the temperature after cooling. The cooling start time, cooling end time, cooling medium (such as water cooling or natural cooling), temperature of the extract after cooling, and volume change of the extract during the cooling process are recorded.

[0050] S13. Refractive index monitoring and comparison

[0051] The refractive index is defined as the ratio of the speed of light in a vacuum to the speed of light in the medium. For a given temperature and wavelength, each substance has its own specific refractive index, which is closely related to the concentration of the substance. According to the extended form of the Lambert-Beer law, in a dilute solution, the refractive index is linearly related to the solute concentration. For a complex system such as a Chinese herbal extract, as the extraction process proceeds, the active ingredients in the medicinal materials gradually dissolve into the solvent, the composition of the solution changes, and the refractive index changes. Let n be the refractive index of the solution, n0 be the refractive index of the pure solvent, c be the solute concentration, and k be the proportional constant. In the case of a dilute solution, it can be deduced that the linear relationship between the refractive index and the solute concentration is n=n0+kc, where k includes parameters related to the properties of the solute and solvent.

[0052] At the beginning (the moment when the previous time segment ends and the new time segment begins) and the end of each time segment, the refractive index of the extract is measured using a refractometer. Specifically, at the beginning of the soaking time segment, the refractive index of the pure solvent (water or ethanol, etc.) before soaking the Chinese medicinal materials is measured, recorded as n 前1 At the end of the soaking period, measure the refractive index of the extract again and record it as n 后1 .

[0053] Compare the refractive index at the end of the same time period with the refractive index at the beginning, and calculate the change value Δn = |n 后1 -n 前1 |. At the same time, a refractive index threshold ε is set according to different types of traditional Chinese medicine, ε is 0.005, when Δn≥ε, it is considered that the extract begins to show significant dissolution of the active ingredients in this time segment, and it is marked as the possible point of extraction start; if Δn<ε, continue to monitor the next time segment.

[0054] To determine the start of extraction, the formula can be established: Where S stands for state.

[0055] In the same way, the refractive index is monitored and compared in subsequent time segments (heating time segment, extraction time segment, etc.) until the extraction process is completed. In the extraction time segment and the time segment thereafter, when Δn<ε appears again, and the Δn changes in two or more consecutive measurements are small (fluctuating within a certain error range), the extraction endpoint is considered to have occurred.

[0056] S2. Judgment analysis based on data

[0057] S21. Establish a correlation table between Chinese medicine types and process parameters

[0058] In the Chinese medicine extraction workshop, it is first necessary to establish a detailed association table between Chinese medicine types and process parameters. This table contains the names of various Chinese medicines, characteristic components, applicable extraction process types (such as water extraction, alcohol extraction, supercritical fluid extraction, etc.), typical process parameter ranges (including soaking time, extraction temperature, extraction time, etc.) and related notes. Specifically, the Chinese medicine Astragalus, whose characteristic components are flavonoid compounds, is suitable for water extraction process. The recommended soaking time is 2-3 hours, the extraction temperature is 80-90℃, and the extraction time is 120-150 minutes. For the Chinese medicine Artemisia argyi, it contains volatile oil components and is suitable for steam distillation extraction. The distillation temperature is controlled at 95-100℃ and the distillation time is 180-240 minutes. The process parameters of the Chinese medicine Artemisia argyi in the association table are based on the analysis of the past 50 batches of Artemisia argyi extraction data. These data cover Artemisia argyi from different origins and picked in different seasons. After statistical analysis, the optimal steam distillation temperature and time range are obtained. Through this association table, operators can quickly find the extraction process and parameter requirements corresponding to different Chinese medicines.

[0059] S22. Real-time monitoring and data correlation analysis

[0060] During the extraction process, the data sending module equipped at each transmission end packages and sends the collected time series data containing key node timestamps and process parameters such as temperature, pressure, flow, etc. to the central control unit at a set time interval of every minute.

[0061] After receiving these data, the central control unit first arranges the data in the order of the extraction process according to the timestamp, and then matches it with the pre-established comparison table of Chinese medicine types and extraction processes. Specifically, if the data received by the data transmission module of a certain extraction device indicates that the current soaking time is about 60 minutes and the extraction temperature is close to 90°C, then the central control unit will preliminarily determine that this may be the extraction process of the Chinese medicine Astragalus that has not reached the recommended soaking time.

[0062] At the same time, in order to improve the accuracy of the judgment, a comprehensive analysis will be conducted in combination with other process parameters. Specifically, in addition to the above-mentioned soaking time and extraction temperature, the pressure changes during the extraction process are comprehensively considered. For some special Chinese medicines, pressure changes may occur during the extraction process due to chemical reactions or dissolution of substances. By monitoring this pressure change and comparing it with the pressure range in the comparison table, it is possible to further verify whether the type of Chinese medicine is correctly judged.

[0063] S23. Determination of start and end determination formula

[0064] In addition to the refractive index change comparison method mentioned above, a more accurate analysis can be performed by combining the change trend of process parameters to determine the starting point and end point of extraction. Specifically, a mathematical model of the change of extraction temperature is established to determine the starting point:

[0065] Assume that the change of extraction temperature over time can be expressed as a function T(t). In the heating time sequence, the temperature should normally show an upward trend and conform to a certain functional relationship (such as linear growth, exponential growth, etc.). When entering the extraction time sequence, the temperature will stabilize near the predetermined extraction temperature, and the rate of temperature change will be significantly reduced. The first-order derivative of the temperature can be calculated. To monitor the temperature change rate. When the value of drops below a certain threshold, specifically when the temperature change per minute is less than 0.1°C, and the refractive index monitoring also meets the condition of Δn≥ε, the extraction start time can be determined more reliably. This can be expressed by the formula:

[0066]

[0067] In addition, in addition to the small change in refractive index, the extraction time factor can also be considered for the determination of the extraction endpoint. Specifically, an optimal range model for the extraction time is established. When the extraction time reaches the upper limit of the optimal time calculated by the model, combined with the small change in refractive index Δn<ε, the extraction endpoint can be determined. This can be expressed as:

[0068] Extraction endpoint condition of Chinese medicine = [t 提取 ≥t 最优上限 ]∩[Δn<ε], where t 最优上限 It is the optimal upper limit of the extraction time determined based on historical data and experiments.

[0069] S3. Communication control strategy formulation and implementation

[0070] S31.Data Analysis and Strategy Development

[0071] The central control unit will conduct in-depth analysis of the stored historical data regularly (specifically every week) to optimize the communication control strategy. Among them, the focus is on analyzing the relationship between the process parameters (specific parameters are soaking time, extraction temperature, extraction time, etc.) and the quality indicators of the extracts (specific indicators are active ingredient content, impurity content, etc.) in the extraction process of the same Chinese medicine in different batches.

[0072] Specifically, by analyzing the extraction data of multiple batches of Chinese medicine mugwort leaves, it was found that when the extraction temperature was around 85°C and the extraction time was around 150 minutes, the extract had a higher content of active ingredients and a lower content of impurities. Based on such analysis results, the central control unit established a preliminary mathematical model between the extraction process parameters and the quality evaluation indicators. This model is expressed by the following formula: Q = aT 2 +bL+cP+d, where Q represents the quality evaluation index of the extract (which can be a comprehensive score of the active ingredient content and the impurity content), T is the extraction temperature, L is the extraction time, P represents other process parameters that may affect the quality (such as solvent concentration, etc.), and a, b, c, and d are regression coefficients determined by a data analysis algorithm.

[0073] According to the established mathematical model, combined with actual production needs (such as the desire to improve product quality or production efficiency), the optimal range of process parameters is determined. The specific requirement is that if the quality of the extract of Chinese medicine mugwort is to be optimized and the yield is high, the central control unit can calculate that the extraction temperature should be controlled within the range of 85℃±2℃, the extraction time should be controlled between 145 minutes and 155 minutes, and other parameters should be adjusted accordingly.

[0074] In addition to the analysis and model building based on historical data, the central control unit also considers the actual operating status of the production equipment and the impact of external environmental factors on the extraction process. Specifically, when a component of the equipment ages and causes a decrease in heat transfer efficiency, it may be necessary to appropriately increase the extraction temperature or extend the extraction time to ensure the extraction effect; if the extraction is carried out in a high temperature environment in summer, the high ambient temperature may cause the solvent to evaporate faster, and at this time it is necessary to adjust the amount of solvent added or take cooling measures.

[0075] S32. Real-time communication control execution

[0076] During the extraction process of traditional Chinese medicine, the central control unit receives the operating parameters of each extraction device in real time, and communicates through the control instruction sending module corresponding to the device-side receiving module connected to the communication link (specifically Ethernet, etc.). The communication method adopts wired communication (specifically industrial Ethernet cable connection) or wireless communication (Wi-Fi communication), which is selected according to the network layout and equipment distribution of the workshop.

[0077] When the central control unit detects that the operating parameters of a certain extraction device are about to exceed the optimal process parameter range, it immediately sends a control instruction to the receiving module of the device. The specific process is that if it detects that the extraction temperature is higher than the set optimal temperature upper limit, the central control unit will send an instruction to the heating device actuator of the extraction device to turn off some heating elements or reduce the heating power to bring the temperature back to the optimal range; if it detects that the extraction time is close to the lower limit of the optimal time, the central control unit will prepare to send instructions to the relevant equipment to start the next step when the optimal time is reached (specifically entering the cooling stage or emptying the extraction liquid, etc.).

[0078] After sending the control command, the central control unit will continue to closely monitor the operating status of the extraction equipment and the changes in process parameters. If it is found that the parameters still deviate from the expected range or new abnormal conditions occur after the control intervention, the central control unit will further adjust the control strategy, specifically increasing the control intensity or switching to an alternative control scheme.

[0079] S4. Abnormal situation monitoring and early warning processing

[0080] S41. Abnormal situation monitoring

[0081] In the process of extracting traditional Chinese medicine, it is also necessary to conduct more comprehensive monitoring of the operating status of the equipment in order to detect various abnormal conditions. This includes monitoring the operating status of the mechanical parts of the equipment (specifically the motor and valve of the agitator) and the status of the electrical system.

[0082] For abnormal conditions of mechanical equipment, vibration sensors can be installed on the stirring motor of the extraction tank to monitor its vibration. Specifically, a vibration sensor is installed on the stirring motor of the extraction tank. During normal operation, the motor will generate a vibration signal with a certain regularity and amplitude. If the vibration frequency suddenly increases by more than 20% of the normal range, or the vibration amplitude is obviously abnormal (such as suddenly becoming violent or disappearing), it indicates that the motor bearing is severely worn, the rotor is unbalanced, or a mechanical failure occurs. At this time, the sensor will transmit the abnormal signal to the central control unit.

[0083] At the same time, the electrical system current and voltage sensors are used to monitor the electrical parameters of the equipment. Under normal circumstances, the motor current and voltage fluctuate within a certain range. If the current suddenly increases to 1.5 times the rated current, or the voltage fluctuates abnormally (such as a voltage drop of more than 10%), it indicates that there may be problems such as short circuit, overload, or damage to electrical components. The central control unit will determine the type of electrical fault that may occur in the equipment based on these abnormal electrical parameter signals.

[0084] In addition, the multiple sets of abnormal situation judgment rules mentioned above continue to be used. Specifically, when the extraction temperature rises or drops sharply by more than 5°C in a short period of time (such as within 5 minutes), in addition to considering the problem of the temperature control system itself, it is also necessary to check whether the temperature abnormality is caused by a failure of the cooling system (such as interruption of cooling water supply); when the extraction time deviates too much from the expected value (such as the deviation exceeds ±15 minutes) and is not due to normal process adjustments, it is necessary to check whether the equipment's time control module or related sensors are faulty.

[0085] S42. Discussion on abnormal situations

[0086] S421. Equipment failure exception

[0087] Mechanical failure, specifically motor failure, may be caused by long-term operation, resulting in bearing wear, winding short circuit and other problems. In this case, the central control unit will receive abnormal signals from the vibration sensor or current sensor. The solution is to try to automatically cut off the power supply to the motor to prevent the fault from expanding, and then display the fault information on the human-machine interface and notify the maintenance personnel. After the maintenance personnel arrive at the site, they need to inspect the motor or replace the damaged parts. If it is a bearing problem, it may be necessary to replace the bearing and add lubricating oil; if it is a winding short circuit, the motor needs to be replaced or the winding needs to be repaired. After the motor fault is handled, a test run is required to ensure that the motor resumes normal operation before restarting the extraction process.

[0088] Valve failure, the valve may not open and close normally or open and close in place. This will cause the fluid flow to be blocked during the extraction process or fail to circulate at the predetermined flow rate. When the valve fails, the liquid level sensor may detect abnormal liquid level changes, and the pressure sensor will also reflect abnormal pressure fluctuations. The central control unit will determine that there may be a problem with the valve based on this information. For this type of failure, you can first remotely control the valve to open and close several times to see if it can return to normal. If it cannot be restored, it is necessary to check on site whether the valve is stuck by foreign objects, whether the seal is damaged, or whether the drive device fails. Clean up foreign objects, replace seals, or repair the drive device according to the specific situation.

[0089] Sensor failure. The sensor is an important component for monitoring the extraction process. When a sensor fails, it may provide incorrect data, causing the central control unit to make incorrect judgments and controls. Specifically, a temperature sensor failure may display incorrect temperature data, causing the central control unit to mistakenly believe that the extraction temperature is too high or too low and take incorrect control measures. For the detection of sensor failure, this failure can be avoided by installing multiple sensors of the same type for data comparison. When the data differences between multiple sensors are large, it means that a sensor has failed. At this time, the central control unit will automatically switch to normal sensor data for control, and issue a sensor failure alarm to notify the staff to check and replace it.

[0090] S422. Process parameter abnormality

[0091] Temperature abnormality, the extraction temperature exceeds the set normal range is a common abnormal situation. This situation may be caused by reasons such as loss of control of the heating equipment, failure of the cooling system, or large changes in the external ambient temperature. When temperature abnormalities occur, first check whether the working status of the heating equipment is normal. If the heating equipment is working normally, then check whether the cooling system is operating normally, such as whether the flow of cooling water is normal, whether the cooling pipe is blocked, etc. At the same time, the impact of the external environment should be considered. For example, in high temperature weather in summer, it may be necessary to appropriately adjust the parameters of the cooling system or increase the operating power of the cooling equipment. If the temperature still cannot be restored to the normal range after inspection and adjustment, it is necessary to suspend the extraction process and continue after finding out the cause and solving the problem.

[0092] Abnormal pressure is a relatively dangerous abnormality in some processes involving pressurized or decompressed extraction. Too high pressure may cause equipment explosion or leakage, while too low pressure may affect the extraction effect. When abnormal pressure is found, first check whether the pressure sealing performance of the equipment is good, such as whether the sealing gasket is damaged, whether the bolts are loose, etc. Then check whether the pressure regulation system is working properly, such as whether the pressure pump, pressure valve and other equipment are operating normally. If the pressure abnormality is caused by equipment failure, the equipment needs to be stopped immediately and repaired; if it is caused by improper operation or incorrect parameter setting, the operation mode and parameter setting need to be adjusted.

[0093] Abnormal flow rate. The flow rate of the fluid during the extraction process has an important impact on the extraction effect. If the flow rate is too large or too small, it may lead to insufficient extraction or waste of resources. When abnormal flow rate is detected, it is necessary to check whether the flow meter is working properly, and then check whether the pipeline is blocked or leaking. At the same time, check whether the circulation pump of the extraction equipment is operating normally and whether the pump speed meets the requirements. If the abnormal flow rate is caused by pipeline blockage, the pipeline needs to be cleaned; if it is caused by a pump problem, the circulation pump needs to be repaired or replaced.

[0094] S423. Issue early warnings and take corresponding measures

[0095] Once the central control unit determines that an abnormal situation has occurred, it needs to immediately issue an early warning signal and record the abnormal information in detail. The early warning signal can be issued in a variety of ways, including sound alarms (buzzers, alarm bells, etc.), flashing lights, pop-up warning windows (on the monitoring interface), sending text messages or emails to notify relevant personnel, etc. The early warning information should include key content such as the type of abnormality (such as equipment failure, process parameter exceeding the limit, etc.), the time and place of the abnormality, and the severity of the abnormality. At the same time, the central control unit should also automatically take corresponding measures or guide the operator to intervene according to the pre-established emergency plan and processing procedures. The specific measures are: if it is found that the extraction temperature is too high, which may be caused by a cooling system failure, the central control unit can immediately instruct the transmission module to stop the heating equipment and try to start the backup cooling system; if the backup cooling system also fails to work properly, it is necessary to notify the maintenance personnel to arrive at the site for inspection and repair as soon as possible. After the abnormal situation is handled, the central control unit will also record the processing process and results for subsequent analysis and summary of lessons learned.

[0096] Embodiment 2:

[0097] This embodiment introduces a communication control system in the process of traditional Chinese medicine extraction, including a data acquisition module, a central processing module, a communication module, a control execution module and an early warning module.

[0098] 1. Data acquisition module

[0099] This module is mainly responsible for collecting data from various sensors during the extraction process of traditional Chinese medicine, and is the source of information for the entire communication control system. This module collects data from various sensors at a high frequency of once every 0.1 seconds to ensure that subtle changes in the extraction process can be captured. The collected data is first cleaned to remove obvious errors or abnormal data points. At the same time, the collected data is calibrated in real time according to the calibration parameters of the sensor.

[0100] 1. Refractive index data cleaning

[0101] 1.1 Judging abnormal data based on statistical principles

[0102] For the collected refractive index data n i (i=1,2,...N, N is the total number of times data is collected), first calculate the average value and standard deviation σ n The calculation formula is as follows: And set the threshold multiple k, k is 3, there is Then determine n i Abnormal data is removed, thereby removing obviously abnormal refractive index data caused by sensor failure or measurement error.

[0103] 1.2 Trend consistency judgment

[0104] In the time series, the refractive index usually shows a certain trend of change, which is manifested as a gradual increase or stabilization during the extraction process. Calculate the difference Δn between adjacent data points i =n i+1 -n i If Δn i If the expected change trend of the refractive index in this time series is seriously inconsistent, n i+1 Mark it as a suspicious data point, and further check several data points before and after the suspicious point, specifically the trend of the 5 data points before and after. If the overall trend is still abnormal, it is determined to be abnormal data and removed.

[0105] 2. Temperature data cleaning

[0106] According to the temperature characteristics of different stages of the extraction process, the dynamic threshold is set. In the heating stage, the temperature rise rate range is 0.5℃-2℃. Calculate the temperature change rate of adjacent temperature data points (Δt is the data collection time interval). i >2℃ or r i <0.5℃, it is considered as abnormal data. At the same time, consider the upper limit of temperature T max , specifically T max Not exceeding 100℃ and lower limit T min , specifically T min Not less than 20℃, if T i+1 >T max or T i+1 <T min , it is judged as abnormal data and removed.

[0107] 3. Liquid level data cleaning

[0108] For the liquid level data, due to some small fluctuations caused by stirring and other reasons, the moving average method is used for smoothing. Assuming the moving average window size is m, m is generally 5, then the smoothed liquid level data This can reduce the impact of noise on liquid level data and more accurately determine the true change trend of the liquid level. It also helps to identify abnormal data points caused by sensor jitter and other reasons.

[0109] 4. Pressure data cleaning

[0110] Calculate the pressure data P i The average and standard deviation σp, the calculation formula is similar to the refractive index. Set the pressure fluctuation range threshold to ±kpσp, where kp is usually 2. Then determine P i At the same time, considering that the safe range of pressure during the extraction process is 0.1MPa-0.5MPa, if P i >0.5MPa or P i <0.1MPa is also considered as abnormal data.

[0111] 2. Central Processing Module

[0112] This module is the core data processing and decision-making unit of the system, with powerful data processing capabilities and intelligent analysis functions.

[0113] 1. Determination of the starting point of Chinese medicine extraction

[0114] The extraction starting point is determined by combining the refractive index change, temperature change rate and liquid level change. min is the lower limit of the refractive index change threshold, the specific value is 0.001, r min2 is the lower limit of the temperature change rate at the beginning of extraction, the specific value is 0.1℃ / min, v min3 The lower limit of the liquid level rise rate during the immersion phase is 0.02 m / min. min )∩(r T ≥r min2 )∩(v h ≥v min3 ), it is determined that the extraction of effective components of traditional Chinese medicine begins. Here, Δn is the refractive index change value, r T is the temperature change rate, v h is the rate of change of liquid level.

[0115] 2. Determination of normal extraction of traditional Chinese medicine

[0116] In the extraction sequence period, determine whether the extraction process is normal. max is the upper limit of the refractive index change threshold, the specific value is 0.005, r max3 is the maximum rate of change of temperature allowed during the extraction process, the specific value is 0.05℃ / min, v min4 is the lower limit of the liquid level drop rate in the extraction stage, the specific value is -0.003m / min, v max3 is the upper limit of the liquid level drop rate in the extraction stage, the specific value is -0.03m / min, p min3 is the lower limit of pressure during the extraction process, the specific value is 0.2MPa, p max4 It is the upper limit of pressure during the extraction process, and the specific value is 0.4MPa.

[0117] When the refractive index, temperature change rate, liquid level change rate and pressure value meet the following conditions (Δn min ≤Δn≤Δn max )∩(-r max3 ≤r T ≤r min3 )∩(v min4 ≤v h ≤v max3 )∩(p min3 ≤p≤p max4 ), and determine that the extraction process is proceeding normally.

[0118] 3. Determination of endpoint of Chinese medicine extraction

[0119] The extraction endpoint is determined by comprehensively considering the change in refractive index, extraction time and liquid level. end is the threshold value for extracting the end point refractive index change, the specific value is 0.0005, t max is the upper limit of the extraction time determined based on historical data, the specific value is 150 minutes, v end To extract the endpoint liquid level drop rate threshold, the specific value is -0.001m / min. When (Δn≤Δn end )∩(t≥t max )∩(v h ≤v end ), it is determined that the extraction end point has been reached.

[0120] 3. Communication module

[0121] This module serves as a bridge for information transmission, responsible for ensuring the stability and efficiency of information interaction between the central control unit and the device end.

[0122] According to the actual network layout and equipment distribution of the workshop, the most suitable communication method can be flexibly selected. In areas where equipment is relatively concentrated and wiring is convenient, wired communication methods are preferred, such as high-speed and stable industrial Ethernet cable connections, to ensure high reliability and low latency of data transmission, and the data transmission rate can be as high as 1000Mbps. In areas where equipment is more dispersed and wiring is difficult, wireless communication (Wi-Fi communication) is selected, with a communication frequency of 5GHz and a transmission rate of up to 9.6Gbps, to ensure the real-time and convenience of data transmission, while supporting flexible movement and expansion of equipment.

[0123] During the data transmission process, reliable communication protocols (such as TCP / IP protocols) are strictly followed, and data integrity and real-time performance are ensured through data verification and retransmission mechanisms. The sensor data collected by the data acquisition module can be accurately transmitted to the central processing module at a predetermined time interval (every minute), and the control instructions generated by the central processing module can also be transmitted to the control execution module in a timely and accurate manner, thereby ensuring smooth and unimpeded coordination of the entire system.

[0124] 4. Control execution module

[0125] As the execution terminal of the system, this module is responsible for converting the control instructions of the central processing module into the operating actions of the actual equipment to achieve precise control of the extraction process.

[0126] When the central processing module detects that the operating parameters of a certain extraction equipment are about to exceed the optimal process parameter range, the control execution module responds quickly and immediately executes the corresponding operation. Specifically, if the extraction temperature is detected to be higher than the set optimal temperature upper limit T max , T max If the extraction time is close to the lower limit of the optimal time, t min , t min For 158 minutes, the control execution module will prepare in advance to send a start instruction to the relevant equipment (such as cooling equipment or drainage equipment). When the optimal time t opt , t opt When the time is 160 minutes, proceed to the next step (such as starting the cooling phase or draining the extraction liquid, etc.) on time.

[0127] After executing the control instructions, the actual execution results of the equipment are promptly fed back to the central processing module, including equipment status (such as actual temperature changes after heating power adjustment, flow changes after valve opening, etc.), execution time and other information, so that the central processing module can continuously monitor the operating status of the equipment to ensure that the equipment always operates as expected and achieve closed-loop control.

[0128] 5. Early warning module

[0129] This module is responsible for early warning of abnormal situations and rapid dissemination of information, ensuring that relevant personnel are aware of them at the first opportunity and can take effective measures.

[0130] When the central processing module determines that an abnormal situation has occurred, the early warning module immediately activates a comprehensive early warning mechanism. Strong early warning signals are issued in a variety of ways, such as high-decibel sound alarms (buzzers, alarm bells, etc.), eye-catching flashing lights (red warning lights), pop-up intuitive warning windows on the monitoring interface (displaying detailed abnormal information), and sending text messages or emails to notify relevant personnel (including maintenance personnel, production management personnel, etc.). The early warning information covers the specific type of abnormality (such as equipment failure-motor overheating, process parameter exceeding the limit-pressure too high, sensor failure-temperature sensor data abnormality, etc.), the precise time when the abnormality occurred, and the time when the abnormality occurred. a (accurate to seconds) and location (specific equipment number or location), severity of abnormality (minor, moderate, severe) and other key contents. For specific abnormalities, if the extraction temperature is found to be 95°C, which is too high and may be caused by a cooling system failure after analysis, the early warning module will immediately emit a sharp beep and strong light flashes, and a warning window will pop up on the monitoring interface, "Cooling system failure, extraction temperature is too high, time of occurrence: year, month, day, hour, minute, second, equipment location: extraction tank No. XX, please handle it immediately!", and quickly send a text message to the maintenance personnel, "The cooling system of the extraction tank No. XX is faulty, the temperature is too high, please go to the site for repair as soon as possible", and send an email to the production management personnel to explain the abnormal situation in detail.

[0131] Record the comprehensive information of the abnormal situation in detail, including the equipment operating parameters before the abnormality occurs (such as the temperature, pressure, and liquid level change trends in the previous few minutes), the duration of the abnormality (the time period from the occurrence of the abnormality to the restoration of normal operation or the adoption of measures), etc., to provide detailed data support for subsequent in-depth analysis and summary of lessons learned. After the abnormal situation is handled, the complete handling process (such as the maintenance measures taken, the adjusted process parameters, etc.) and the results (whether the equipment has resumed normal operation, whether the process parameters are stable within the normal range, etc.) will be recorded in detail for subsequent query and statistical analysis at any time, providing a reference for system optimization and prevention of similar abnormalities.

[0132] Finally, it should be noted that: Obviously, the above embodiments are only examples for clearly explaining the present invention, and are not intended to limit the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from this are still within the scope of protection of the present invention.

Claims

1. A communication control method in a Chinese medicine extraction process, characterized in that: The method comprises the following steps: S1. Process parameter monitoring and recording: Use refractometer, temperature sensor, liquid level sensor and pressure sensor to monitor the refractive index, temperature, liquid level and pressure changes of the extract respectively, set the refractive index threshold ε to 0.005, judge the start and end of extraction according to the changes of each sensor parameter, divide the extraction process into soaking, heating, extraction, cooling time segments, record the key process parameters of each time segment, measure the refractive index at the beginning and end of each time segment, compare the change value Δn, set the threshold according to the type of Chinese medicine to judge the start and end of extraction, and establish the judgment formula Where S represents the state; S2. Judgment and analysis based on data: Establish an association table containing the name of traditional Chinese medicine, characteristic ingredients, applicable extraction process and typical process parameter range; the transmission end sends data to the central control unit at intervals of one minute, and the central control unit sorts the data according to the timestamp and matches it with the association table, and makes a comprehensive judgment based on multiple process parameters; Combine the change of refractive index with the trend of process parameter changes, and determine the extraction starting point and end point by establishing a temperature and extraction time correlation formula; When (Δn≥Δn min )∩(r T ≥r min2 )∩(v h ≥v min3 ), it is determined that the effective ingredients of traditional Chinese medicine are extracted, wherein r T is the temperature change rate, v h is the rate of change of liquid level, Δn min is the lower limit of the refractive index change threshold, r min2 is the lower limit of the temperature change rate at the beginning of extraction, v min3 It is the lower limit of the liquid level rising rate during the immersion stage; When the refractive index, temperature change rate, liquid level change rate and pressure value meet the following conditions (Δn min ≤Δn≤Δn max )∩(-r max3 ≤r T ≤r min3 )∩(v min4 ≤v h ≤v max3 )∩(p min3 ≤p≤p max4 ) determines that the extraction process is normal, where r max3 is the maximum rate of change of temperature allowed during the extraction process, v min4 is the lower limit of the liquid level drop rate in the extraction stage, v max3 is the upper limit of the liquid level drop rate during the extraction phase, p min3 is the lower limit of pressure during extraction, p max4 The upper limit of pressure during the extraction process; When (Δn≤Δn end )∩(t≥t max )∩(v h ≤v end ), it is determined that the extraction end point has been reached, where Δn end To extract the endpoint refractive index change threshold, t max is the upper limit of the extraction time determined based on historical data, v end To extract the endpoint liquid level drop rate threshold; S3. Communication control strategy formulation and execution: The central control unit analyzes historical data every week, establishes a relationship model between process parameters and quality indicators, determines the optimal process parameter range according to production needs, and adjusts it considering equipment and environmental factors; the central control unit receives data in real time, selects wired or wireless communication methods to communicate with equipment according to the workshop network layout, sends control instructions when parameters are abnormal, monitors equipment status and adjusts strategies; S4. Abnormal situation monitoring and early warning processing: monitor the operating status of the equipment's mechanical and electrical systems, and determine abnormalities through sensor monitoring; classify abnormal situations and take corresponding processing measures respectively; issue early warning signals when abnormalities occur, record detailed information, automatically or guide manual intervention, and record the process and results after processing.

2. The communication control method in a Chinese medicine extraction process as claimed in claim 1, characterized in that: In the process parameter monitoring and recording step, the refractometer continuously measures the refractive index change of the extract. When the refractive index change measured for 3-5 consecutive times is less than the threshold and the trend is stable, it helps determine whether the extraction has started or entered a plateau period.

3. The communication control method in a Chinese medicine extraction process as claimed in claim 1, characterized in that: In the process parameter monitoring and recording step, the temperature sensor measures the temperature of the extract. During the heating extraction process, the temperature change rate is combined with other parameters to assist in determining the start and end of the extraction.

4. The communication control method in a Chinese medicine extraction process as claimed in claim 1, characterized in that: In the communication control strategy formulation and execution steps, the mathematical model established by the central control unit is the relationship model Q = aT between the extract quality evaluation index and the extraction temperature, extraction time and other process parameters that may affect the quality. 2 +bL+cP+d, where Q represents the extract quality evaluation index, T is the extraction temperature, L is the extraction time, P represents other process parameters that may affect the quality, and a, b, c, and d are regression coefficients determined by the data analysis algorithm.

5. A communication control system in a Chinese medicine extraction process, a system for implementing the method as claimed in any one of claims 1 to 4, specifically comprising the following modules: Data acquisition module: collects data from sensors at a high frequency of once every 0.1 seconds, and cleans and calibrates the collected refractive index, temperature, liquid level, and pressure data respectively. Refractive index data cleaning is based on statistical principles to determine abnormalities and trend consistency. Temperature data cleaning sets dynamic thresholds based on temperature characteristics at different stages. Liquid level data is smoothed using the moving average method. Pressure data calculates the average and standard deviation and determines abnormalities based on the safety range. Central processing module: Combine the refractive index change, temperature change rate and liquid level change to determine the extraction starting point, determine whether the extraction process is normal during the extraction sequence, and determine the extraction end point based on the refractive index change, extraction time and liquid level change; Communication module: Select wired or wireless communication mode according to the workshop network layout and equipment distribution to ensure stable and efficient data transmission, follow reliable communication protocols, and ensure data integrity and real-time performance; Control execution module: converts the control instructions of the central processing module into equipment operation actions, and feeds back the actual execution results of the equipment after execution to achieve closed-loop control; Early warning module: When the central processing module determines an abnormality, it sends out early warning signals in various ways, records the abnormality details, and records the process and results after processing.

6. A communication control system in a Chinese medicine extraction process as claimed in claim 5, characterized in that: Refractive index data cleaning and calculation average value in data acquisition module and standard deviation σ n , the calculation formula is as follows: when Judgement i It is abnormal data; during the heating and temperature rise stage, the temperature rise rate range is set to 0.5℃-2℃, and the temperature upper limit 100℃ and lower limit 20℃ are considered.

7. A communication control system in a Chinese medicine extraction process as claimed in claim 5, characterized in that: In the central processing module, the lower limit of the refractive index change threshold for judging the start of extraction is 0.001, the lower limit of the temperature change rate at the start of extraction is 0.1℃ / min, and the lower limit of the liquid level rising rate in the immersion stage is 0.02m / min; the upper limit of the refractive index change threshold for judging whether the extraction is normal is 0.005, the maximum allowable temperature change rate during the extraction process is 0.05℃ / min, the lower limit of the liquid level decrease rate in the extraction stage is -0.003m / min, the upper limit is -0.03m / min, the lower limit of the pressure is 0.2, and the upper limit is 0.4; the refractive index change threshold for judging the end point of extraction is 0.0005, the upper limit of the extraction time is 150 minutes, and the threshold of the liquid level decrease rate at the end point of extraction is -0.001m / min.

8. A communication control system in a Chinese medicine extraction process as claimed in claim 5, characterized in that: The warning signals issued by the early warning module include high-decibel sound alarms, eye-catching flashing lights, pop-up intuitive warning windows, text messages or emails to notify relevant personnel, and record the equipment operating parameters and abnormal duration before the abnormality occurs.

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