Podophyllotoxin extraction management system based on the Internet of Things

Abstract

The present invention discloses a podophyllotoxin extraction management system based on the Internet of Things, which specifically relates to the field of the Internet of Things, including a management equipment layout module, an environmental monitoring module, an extraction environment analysis module, an abnormal environment judgment module, an extraction perception module, an extraction purity assessment module, and an extraction management module. The extraction purity is monitored by the management equipment during podophyllotoxin extraction, thereby dividing the extraction environment into abnormal areas and normal areas. The extraction environment is flexibly adjusted by the extraction terminal, and the change in extraction purity is obtained. The extraction quality of podophyllotoxin is evaluated, thereby determining the optimal extraction time. On the one hand, by determining the optimal extraction time, the yield of podophyllotoxin is maximized, avoiding the waste of raw materials. On the other hand, it is not limited to manual inspections, and the extraction process is intelligently monitored, and the extraction parameters are adjusted in real time to ensure the stability of the extraction process, while providing a reference for subsequent podophyllotoxin extraction.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and more particularly to a podophyllotoxin extraction and management system based on the Internet of Things. Background Art

[0002] Podophyllotoxin is a natural active ingredient with important medicinal value. It has significant therapeutic effects in the treatment of diseases such as genital warts. It also shows potential application prospects in medical research fields such as anti-tumor. With the increasing demand for podophyllotoxin for medicinal purposes, efficient management of its extraction and production processes has become crucial.

[0003] The traditional podophyllotoxin extraction management process relies primarily on manual operations and simple monitoring methods, including raw material management, extraction monitoring, and quality control. In the raw material management link, the storage conditions of the raw materials are manually recorded through regular inspections. In the extraction monitoring link, operators regularly visit the equipment on-site to check the instrument readings to obtain operating parameters such as reactor temperature and pressure, centrifuge speed, etc. In terms of quality control, the detection of podophyllotoxin content and impurity content is usually carried out through sampling inspection after the production batch is completed.

[0004] However, it still has some shortcomings in actual use. First, manual inspections are carried out in the raw material management link, which is not only inefficient, but also prone to untimely and inaccurate data recording, which may cause the raw materials to deteriorate and affect the extraction quality and yield of podophyllotoxin; secondly, real-time and continuous monitoring of the equipment operation status cannot be achieved in the extraction monitoring link. Once an abnormality occurs in the equipment, it is difficult to detect and deal with it in time, which may cause production accidents, equipment damage and production stagnation, and increase production costs; finally, in terms of quality control, in the traditional podophyllotoxin extraction process, this post-detection method cannot detect quality problems and make adjustments in time during the production process. Once the product quality is detected to be unqualified, the entire batch of products may need to be reworked, wasting a lot of manpower, material resources and time resources. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a podophyllotoxin extraction management system based on the Internet of Things, which monitors the extraction environment and extraction purity of the podophyllotoxin extraction process by setting the step extraction interval time, and thereby performs refined and flexible adjustments to maximize the extraction quality and extraction efficiency. At the same time, an extraction quality change curve is constructed to obtain the optimal extraction time of podophyllotoxin, effectively solving the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a podophyllotoxin extraction and management system based on the Internet of Things, comprising an environment sensing terminal, an extraction sensing terminal, an image acquisition terminal, a management device, and an extraction terminal, wherein the environment sensing terminal, the extraction sensing terminal, and the image acquisition terminal are all arranged on the management device, and the extraction terminal is used to collect data during podophyllotoxin extraction, specifically including the following modules:

[0007] The management equipment layout module is used to set up environmental sensing terminals and extraction sensing terminals in the extraction area of ​​the podophyllotoxin extraction workshop;

[0008] The environmental monitoring module is used to extract podophyllotoxin using an extraction solvent and set the step extraction interval time, thereby using the environmental sensing terminal to monitor the environmental data corresponding to the step extraction time interval;

[0009] The extraction environment analysis module is used to obtain the extraction risk coefficient of the podophyllotoxin extraction environment based on the monitoring results of the environmental monitoring module, thereby analyzing the environmental risk situation of each extraction time interval;

[0010] The abnormal environment judgment module is used to judge the abnormal environment based on the extraction risk coefficient of each level extraction time interval, and dynamically adjust the environment according to different abnormal environments;

[0011] The extraction sensing module is used to monitor the extraction purity of podophyllotoxin through the extraction sensing terminal. The extraction purity monitoring objects are the podophyllotoxin content and impurity content, and the extraction purity maintenance coefficient is calculated to obtain the extraction purity change and evaluate the extraction quality coefficient of podophyllotoxin.

[0012] The extraction purity maintenance coefficient and the extraction risk coefficient corresponding to each step extraction time interval are weighted averaged to obtain the extraction quality coefficient corresponding to each step extraction time interval;

[0013] The extraction purity assessment module is used to construct the extraction quality change curve of the podophyllotoxin extraction process, thereby determining the optimal extraction time;

[0014] The extraction management module is used to extract podophyllotoxin based on the optimal extraction time and automatically generate a podophyllotoxin detection report after the extraction task is completed.

[0015] Combining all the above technical solutions, the present invention has the following positive effects:

[0016] 1. The present invention monitors podophyllotoxin extraction through management equipment, perceives the extraction environment, and thereby divides the extraction environment into abnormal areas and normal areas. The extraction environment is flexibly adjusted through the extraction terminal, and is not limited to manual inspections. On the one hand, it can meet the adjustment needs to the greatest extent, and on the other hand, it can avoid the inefficiency and inaccurate records caused by manual inspections, which is conducive to ensuring that the extraction efficiency is improved during normal extraction.

[0017] 2. The present invention monitors the extraction purity during the extraction process and obtains the change in the extraction purity to evaluate the extraction quality of podophyllotoxin, thereby ensuring the quality of the extraction and better ensuring the safety of podophyllotoxin during use, thereby improving the extraction efficiency and purity, and providing strong support for the subsequent research and development and production of drugs.

[0018] 3. After the extraction is completed, the present invention constructs an extraction quality change curve for podophyllotoxin extraction, thereby determining the optimal extraction time. On the one hand, by determining the optimal extraction time, the yield of podophyllotoxin is maximized, avoiding the waste of raw materials. On the other hand, the extraction is intelligently monitored and the extraction parameters are adjusted in real time to ensure the stability of the extraction process, while providing a reference for subsequent podophyllotoxin extraction. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0020] Figure 2 Schematic diagram of the device structure of the present invention. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] As attached Figure 1 The Internet of Things-based podophyllotoxin extraction and management system shown includes an environmental sensing terminal, an extraction sensing terminal, an image acquisition terminal, a management device, and an extraction terminal. The environmental sensing terminal, the extraction sensing terminal, and the image acquisition terminal are all set on the management device, and the extraction terminal is used to collect data during podophyllotoxin extraction.

[0023] In a more specific application of the present invention, the environmental sensing terminal is used to sense the environment during the podophyllotoxin extraction process, specifically, multiple types of sensors are installed in the extraction reactor, centrifuge and folding column, where the sensors can be temperature sensors, pH sensors and optical sensors. For example, the temperature sensor model can be DHT22, which is used to collect the temperature of the extract in real time, the pH sensor model can be PH-210, which is used to monitor the acidity of the extract, and the optical sensor can be a near-infrared spectrometer, which is used to detect the concentration changes of the extract in real time and provide feedback through spectral characteristic peaks.

[0024] It should be understood that temperature and pH are selected as environmental measurements during the podophyllotoxin extraction process because all three have a direct impact on the extraction efficiency and stability of podophyllotoxin. Specifically, podophyllotoxin is sensitive to temperature and easily decomposed and inactivated by heat. At the same time, in the podophyllotoxin extraction process, enzyme-assisted extraction is usually used. The enzyme is more active at a suitable temperature, thereby improving the extraction efficiency. Different pH values ​​have different effects on different enzymes. For enzymes used for podophyllotoxin extraction, the enzyme activity decreases when it deviates from its suitable pH value, thereby affecting the extraction efficiency. Too low a podophyllotoxin concentration will result in incomplete extraction, and too high a concentration will affect the extraction of podophyllotoxin due to the dissolution of other active ingredients. Therefore, it is necessary to select the appropriate temperature and pH value to maximize the extraction yield of podophyllotoxin.

[0025] The extraction sensing terminal is used to sense the extraction data after podophyllotoxin extraction, specifically including the measurement of podophyllotoxin content and impurity content, wherein the extraction sensing terminal is composed of a high performance liquid chromatograph and an ultraviolet detector.

[0026] It should be understood that the podophyllotoxin content and impurity content are measured by combining a high-performance liquid chromatograph and a UV detector with high-performance liquid chromatography. The podophyllotoxin content and impurity content are measured after the extraction is completed because the podophyllotoxin content determines the extraction rate of the podophyllotoxin content and the system extraction quality. A higher podophyllotoxin content will lead to an increase in the extraction rate. Since podophyllotoxin is often used in medicine, the presence of impurities may cause adverse reactions to human cells. By measuring the impurity content, potential risks can be discovered in a timely manner to ensure the safety of podophyllotoxin.

[0027] The extraction terminal is used to analyze the data collected by the above equipment during the extraction process and control related parameters, including electric valves, variable frequency motors and image acquisition terminals.

[0028] The electric valve is used to control the flow of the solvent. For example, the solvent can be ethanol. By combining with the Internet of Things technology, the operating status of the electric valve can be displayed in real time. According to the preset extraction conditions, the opening and flow of the electric valve can be automatically adjusted. At the same time, a flow sensor is set at the electric valve port to monitor the flow in real time.

[0029] The variable frequency motor is used to adjust the stirring paddle and centrifuge speed. Specifically, during the podophyllotoxin extraction process, the raw materials and solvent need to be fully stirred in the reactor to promote the chemical reaction. The variable frequency motor drives the stirring paddle and flexibly adjusts the stirring speed according to different extraction stages. For example, in the early stage of the reaction, a slower stirring speed is required to fully mix the raw materials; while in the process of the reaction, the stirring speed needs to be increased to speed up the reaction rate and improve the extraction efficiency of podophyllotoxin, while adjusting the centrifugal speed to optimize the separation efficiency.

[0030] The image acquisition terminal is used to monitor the operating status of the above-mentioned equipment using an industrial camera and detect equipment abnormalities in combination with AI image recognition technology. For example, the resolution of the industrial camera can be set to 1920×1080, and the equipment abnormality is leakage and blockage of podophyllotoxin during the extraction process.

[0031] The connection relationship between the above-mentioned environment perception terminal, extraction perception terminal, management device, image acquisition terminal and extraction terminal is shown in Figure 2 shown.

[0032] The specific implementation of the present invention includes the following:

[0033] The management equipment layout module is used to set up environmental sensing terminals and extraction sensing terminals in the extraction area of ​​the podophyllotoxin extraction workshop.

[0034] The environmental monitoring module is used to set the step extraction interval time, extract podophyllotoxin through the extraction solvent, and thus use the environmental sensing terminal to monitor the environmental data corresponding to the step extraction time interval.

[0035] In this embodiment, it should be specifically noted that the extraction solvent is an organic solution with moderate polarity, and the environmental data include the temperature and pH value of the extraction liquid; setting the step extraction interval time is specifically implemented as follows: counting the pre-extraction interval points, and dividing the pre-extraction time into steps according to the pre-extraction interval points to obtain the extraction interval corresponding to each step.

[0036] It should be pointed out that the pre-extraction interval points are the preset time intervals for podophyllotoxin extraction. According to the extraction cycle of historical extraction records, one-third of the extraction cycle is used as the pre-extraction time, and the pre-extraction interval points are used as the number of steps. In this way, the podophyllotoxin extraction is monitored in stages to reflect the extraction effect, and time and space for subsequent adjustments are also provided.

[0037] For example, assuming that the pre-extraction cycle is three hours and there are 5 pre-extraction interval points, the pre-extraction time is one hour, the number of step divisions is 5, each extraction interval point corresponds to a division step, and the number of extraction interval points is taken as the basis for step division. At this time, the extraction interval corresponding to the first step is 60 divided by 15, which is equal to 4 minutes, the extraction interval corresponding to the second step is 8 minutes, the extraction interval corresponding to the third step is 12 minutes, the extraction interval corresponding to the fourth step is 16 minutes, and the extraction interval corresponding to the fifth step is 20 minutes. In this case, the extraction interval corresponding to the first step is relatively short, and it cannot provide sufficient data support for the subsequent extraction purity change curve. Half of the extraction cycle can be taken as the pre-extraction time. At this time, the extraction interval corresponding to the first step is 120 divided by 15, which is equal to 8 minutes, the extraction interval corresponding to the second step is 16 minutes, the extraction interval corresponding to the third step is 18 minutes, the extraction interval corresponding to the fourth step is 24 minutes, and the extraction interval corresponding to the fifth step is 30 minutes.

[0038] The extraction environment analysis module is used to obtain the extraction risk coefficient of the podophyllotoxin extraction environment through the monitoring results of the environmental monitoring module, thereby analyzing the environmental risk situation of each extraction time interval.

[0039] In this embodiment, it should be specifically explained that the environmental risk situation of each extraction time interval is analyzed as follows: the collected extract temperatures are compared, and the maximum extract temperature and the minimum extract temperature are extracted from them. At the same time, the maximum extract temperature and the minimum extract temperature are subtracted from the preset temperature range to obtain the extract temperature deviation range. The specific calculation formula is as follows: ΔTs max =T max -Tk, ΔTs min =T min -Tl, where the preset temperature range is [Tl, Tk], T max and T min They represent the maximum and minimum extractant temperatures, respectively. The extractant temperature deviation range is [ΔTs min , ΔTs max ];

[0040] The pH value of the collected extract was subjected to variance calculation to obtain the pH fluctuation value of the extract. The specific calculation formula is as follows:

[0041] ,

[0042] Where Hs represents the pH fluctuation value of the extract, H i represents the pH value of the extract corresponding to the extraction time of the i-th step, n represents the number of division steps, i represents the i-th division step, and i≥1;

[0043] The extraction risk coefficient is obtained based on the extraction solution temperature deviation range and the extraction solution pH fluctuation value, which is specifically expressed as:

[0044] ,

[0045] Where P represents the extraction risk coefficient, Hs yu Indicates the preset pH value of the extraction solution.

[0046] It should be pointed out that by obtaining the temperature deviation range of the extract and the pH fluctuation value of the extract, the changes in the temperature and pH value in the reactor can be intuitively observed. The greater the difference between the maximum extract temperature and the minimum extract temperature, the greater the extract temperature deviation, which means the greater the temperature fluctuation. The greater the pH fluctuation value of the extract, the greater the pH change in the reactor. At this time, the extraction environment risk is high, which leads to a decrease in the podophyllotoxin extraction efficiency.

[0047] The abnormal environment judgment module is used to judge the abnormal environment based on the extraction risk coefficient of each level extraction time interval, and dynamically adjust the environment according to different abnormal environments.

[0048] In this embodiment, it is necessary to specifically explain that the specific process of determining an abnormal environment is as follows: setting a risk coefficient threshold, comparing the extracted risk coefficient with the risk coefficient threshold, and when the extracted risk coefficient is less than the risk coefficient threshold, identifying the step as a normal area; when the extracted risk coefficient is greater than or equal to the risk coefficient threshold, identifying the step as an abnormal area;

[0049] The steps identified as normal areas are integrated, and the extraction time intervals corresponding to each step are compared with the temperature and pH values ​​corresponding to each extraction time interval to obtain the temperature and pH value of the extract per unit time, and the mean temperature and pH values ​​are obtained using the mean calculation formula.

[0050] The temperature and pH value of the abnormal area are subtracted from the average temperature and pH value, and compared with the difference risk threshold. When the difference is greater than the difference risk threshold, dynamic environmental adjustment is required, otherwise no dynamic environmental adjustment is required.

[0051] Furthermore, the dynamic adjustment of the environment is as follows: when the difference between the temperature of the extract in the abnormal area and the temperature average value is greater than the temperature difference threshold, the abnormal environment is judged to be a temperature abnormality. At this time, the extraction terminal immediately issues an instruction to reduce the heating power and starts the cooling water circulation system at the same time; when the difference between the pH value of the extract in the abnormal area and the pH average value is greater than the pH difference threshold, the abnormal environment is judged to be a pH abnormality. At this time, the extraction terminal controls the solvent through the electric valve to add acidic solvent or alkaline solvent.

[0052] The extraction sensing module is used to monitor the extraction purity of podophyllotoxin through the extraction sensing terminal. The extraction purity monitoring objects are the podophyllotoxin content and impurity content, and the extraction purity maintenance coefficient is calculated to obtain the extraction purity change, and thus the extraction quality coefficient of podophyllotoxin is evaluated.

[0053] In this embodiment, it should be specifically explained that the analysis method of the change in extraction purity is as follows: the extraction purity is obtained by adding the podophyllotoxin content and the impurity content to obtain the total extraction content, and the podophyllotoxin content is compared with the total extraction content to calculate the percentage. The specific calculation formula is: H=E1 / Et×100%, wherein H represents the extraction purity, E1 represents the podophyllotoxin content, and Et represents the total extraction content;

[0054] Based on the difference between the extraction purity and the preset extraction purity, the extraction purity maintenance coefficient corresponding to each step extraction time interval is calculated. The specific calculation formula is:

[0055] ,

[0056] Where Y represents the extraction purity maintenance coefficient corresponding to the step extraction time interval, H yu Represents the preset extraction purity, e represents the natural constant. From this formula, it can be seen that the greater the extraction purity, the greater the extraction purity is than the preset extraction purity, and the greater the extraction purity maintenance coefficient is. When HH yu ≤0, indicating that the extraction purity is less than the preset extraction purity. At this time, the extraction purity maintenance coefficient is smaller.

[0057] Furthermore, the extraction quality coefficient of podophyllotoxin was evaluated as follows: the extraction purity maintenance coefficient and the extraction risk coefficient corresponding to each step extraction time interval were weighted averaged to obtain the extraction quality coefficient corresponding to each step extraction time interval, wherein the weight coefficients corresponding to the extraction purity maintenance coefficient and the extraction risk coefficient were 0.7 and 0.3, respectively.

[0058] It should be further explained that the extraction sensing terminal includes a high-performance liquid chromatograph and an ultraviolet detector. The peak area of ​​the extract is obtained by the high-performance liquid chromatograph, and the podophyllotoxin content is calculated based on the peak area of ​​the extract. The impurity content is obtained by the ultraviolet detector. Ultraviolet light is passed through the extract, and impurities and podophyllotoxin absorb different degrees of light, thereby producing different absorbances. The impurity content is calculated based on the absorbance. The specific calculation process belongs to the existing technology and will not be repeated here.

[0059] The extraction purity assessment module is used to construct the extraction quality change curve of the podophyllotoxin extraction process, thereby determining the optimal extraction time.

[0060] In this embodiment, it should be specifically explained that the extraction quality change curve is constructed with the extraction time as the horizontal axis and the extraction quality coefficient as the vertical axis to construct a two-dimensional coordinate system. For the pre-extraction interval point, the extraction interval and the extraction quality coefficient corresponding to each step within the pre-extraction time are marked with several points in the constructed two-dimensional coordinate system to form an extraction quality change curve within the extraction time, and then determine the optimal extraction time. The optimal extraction time is specifically determined as follows: the inflection point of the extraction quality change curve within the extraction time is marked to obtain the inflection point slope, which is the speed of the extraction quality change. The extraction quality change curve is divided into an ascending segment, a mid-term segment, and a descending segment through the inflection point.

[0061] Compare the inflection point slopes to obtain the maximum inflection point slope, mark the extraction time corresponding to the maximum inflection point slope as the optimal time point, and set the extraction initial time to the optimal extraction time point as the rising segment;

[0062] When the extraction quality coefficient decreases, the optimal time point to the quality decrease point is set as the mid-term segment. For example, when the extraction quality coefficient drops to 10% of the extraction quality coefficient corresponding to the optimal time point, the mid-term segment is obtained. At this time, the rising segment and the mid-term segment are the optimal extraction time.

[0063] The extraction management module is used to extract podophyllotoxin based on the optimal extraction time and automatically generate a podophyllotoxin detection report after the extraction task is completed.

[0064] In this embodiment, it should be specifically noted that the optimal extraction time is reached when podophyllotoxin is extracted, the extraction completion is automatically determined by the extraction terminal, and the data of the extraction process and the extraction results, including the extraction time, extraction temperature, extraction pH value and extraction purity, are integrated to generate a podophyllotoxin test report, which can be viewed by management personnel to improve management efficiency.

[0065] Secondly: The drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention. Other structures may refer to conventional designs. The same embodiment and different embodiments of the present invention may be combined with each other without conflict.

[0066] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. Podophyllotoxin extraction and management system based on the Internet of Things, characterized in that: include: Environmental sensing terminal, extraction sensing terminal, image acquisition terminal, management device and extraction terminal, wherein the environmental sensing terminal, extraction sensing terminal and image acquisition terminal are all set on the management device, and the extraction terminal is used to collect data when extracting podophyllotoxin, and specifically includes the following modules: The management equipment layout module is used to set up environmental sensing terminals and extraction sensing terminals in the extraction area of ​​the podophyllotoxin extraction workshop; The environmental monitoring module is used to extract podophyllotoxin using an extraction solvent and set the step extraction interval time, thereby using the environmental sensing terminal to monitor the environmental data corresponding to the step extraction time interval; The extraction environment analysis module is used to obtain the extraction risk coefficient of the podophyllotoxin extraction environment based on the monitoring results of the environmental monitoring module, thereby analyzing the environmental risk situation of each extraction time interval; The environmental risk analysis of each extraction time interval is as follows: the collected extraction liquid temperatures are compared, and the maximum extraction liquid temperature and the minimum extraction liquid temperature are extracted. At the same time, the maximum extraction liquid temperature and the minimum extraction liquid temperature are respectively subtracted from the preset temperature range to obtain the extraction liquid temperature deviation range. The specific calculation formula is as follows: ΔTs max =T max -Tk, ΔTs min =T min -Tl, where the preset temperature range is [Tl, Tk], T max and T min They represent the maximum and minimum extractant temperatures, respectively. The extractant temperature deviation range is [ΔTs min , ΔTs max ]; The pH value of the collected extract was subjected to variance calculation to obtain the pH fluctuation value of the extract. The specific calculation formula is as follows: ， Where Hs represents the pH fluctuation value of the extract, H i represents the pH value of the extract corresponding to the extraction time of the i-th step, n represents the number of division steps, i represents the i-th division step, and i≥1; The extraction risk coefficient is obtained based on the extraction solution temperature deviation range and the extraction solution pH fluctuation value, which is specifically expressed as: ， Where P represents the extraction risk coefficient, Hs yu Indicates the preset pH value of the extraction solution; The abnormal environment judgment module is used to judge the abnormal environment based on the extraction risk coefficient of each level extraction time interval, and dynamically adjust the environment according to different abnormal environments; The extraction sensing module is used to monitor the extraction purity of podophyllotoxin through the extraction sensing terminal. The extraction purity monitoring objects are the podophyllotoxin content and impurity content, and the extraction purity maintenance coefficient is calculated to obtain the extraction purity change and evaluate the extraction quality coefficient of podophyllotoxin. The extraction purity maintenance coefficient and the extraction risk coefficient corresponding to each step extraction time interval are weighted averaged to obtain the extraction quality coefficient corresponding to each step extraction time interval; The extraction purity assessment module is used to construct the extraction quality change curve of the podophyllotoxin extraction process, thereby determining the optimal extraction time; The extraction management module is used to extract podophyllotoxin based on the optimal extraction time and automatically generate a podophyllotoxin detection report after the extraction task is completed.

2. The podophyllotoxin extraction and management system based on the Internet of Things according to claim 1, characterized in that: The extraction solvent is an organic solution with moderate polarity, and the environmental data includes the temperature and pH value of the extract; setting the step extraction interval duration is specifically implemented as follows: counting the pre-extraction interval points, and dividing the pre-extraction duration into steps according to the pre-extraction interval points to obtain the extraction interval corresponding to each step; the pre-extraction interval points are the preset time intervals for podophyllotoxin extraction, and based on the extraction cycle of historical extraction records, one-third of the extraction cycle is used as the pre-extraction duration, and the pre-extraction interval points are used as the number of step divisions.

3. The podophyllotoxin extraction and management system based on the Internet of Things according to claim 1, characterized in that: The specific process of judging the abnormal environment is as follows: setting a risk coefficient threshold, comparing the extracted risk coefficient with the risk coefficient threshold, and when the extracted risk coefficient is less than the risk coefficient threshold, identifying the step as a normal area; when the extracted risk coefficient is greater than or equal to the risk coefficient threshold, identifying the step as an abnormal area; The steps identified as normal areas are integrated, and the extraction time intervals corresponding to each step are compared with the temperature and pH values ​​corresponding to each extraction time interval to obtain the temperature and pH value of the extract per unit time, and the mean temperature and pH values ​​are obtained using the mean calculation formula. The temperature and pH value of the abnormal area are subtracted from the average temperature and pH value, and compared with the difference risk threshold. When the difference is greater than the difference risk threshold, dynamic environmental adjustment is required, otherwise no dynamic environmental adjustment is required.

4. The podophyllotoxin extraction and management system based on the Internet of Things according to claim 3, characterized in that: The dynamic adjustment of the environment is specifically as follows: when the difference between the temperature of the extract in the abnormal area and the temperature average value is greater than the temperature difference threshold, the abnormal environment is judged to be a temperature abnormality. At this time, the extraction terminal immediately issues an instruction to reduce the heating power and starts the cooling water circulation system at the same time; when the difference between the pH value of the extract in the abnormal area and the pH average value is greater than the pH difference threshold, the abnormal environment is judged to be a pH abnormality. At this time, the extraction terminal controls the solvent through the electric valve to add acidic solvent or alkaline solvent.

5. The podophyllotoxin extraction and management system based on the Internet of Things according to claim 1, characterized in that: The analysis method of the change in the extraction purity is as follows: the extraction purity is obtained by adding the podophyllotoxin content and the impurity content to obtain the total extraction content, and the podophyllotoxin content is compared with the total extraction content to calculate the percentage. The specific calculation formula is: H=El / Et×100%, where H represents the extraction purity, El represents the podophyllotoxin content, and Et represents the total extraction content.

6. The podophyllotoxin extraction and management system based on the Internet of Things according to claim 1, characterized in that: The extraction purity maintenance coefficient corresponding to each step extraction time interval is calculated based on the difference between the extraction purity and the preset extraction purity. The specific calculation formula is: ， Where Y represents the extraction purity maintenance coefficient corresponding to the step extraction time interval, H represents the extraction purity, and H yu Represents the preset extraction purity, e represents the natural constant. From this formula, it can be seen that the greater the extraction purity, the greater the extraction purity is than the preset extraction purity, and the greater the extraction purity maintenance coefficient is. When HH yu ≤0, indicating that the extraction purity is less than the preset extraction purity. At this time, the extraction purity maintenance coefficient is smaller.

7. The podophyllotoxin extraction and management system based on the Internet of Things according to claim 1, characterized in that: The extraction quality change curve is constructed with the extraction time as the horizontal axis and the extraction quality coefficient as the vertical axis. A two-dimensional coordinate system is constructed. For the pre-extraction interval point, the extraction interval and the extraction quality coefficient corresponding to each step within the pre-extraction time are marked with several points in the constructed two-dimensional coordinate system to form an extraction quality change curve within the extraction time, and then the optimal extraction time is determined. The optimal extraction time is specifically determined as follows: the inflection point of the extraction quality change curve within the extraction time is marked to obtain the inflection point slope. The inflection point slope is the speed of the extraction quality change. The extraction quality change curve is divided into an ascending segment, a mid-term segment, and a descending segment according to the inflection point. Compare the inflection point slopes to obtain the maximum inflection point slope, mark the extraction time corresponding to the maximum inflection point slope as the optimal time point, and set the extraction initial time to the optimal extraction time point as the rising segment; When the extraction quality coefficient decreases, the optimal time point to the quality decline point is set as the mid-term segment, and the rising segment and the mid-term segment are the optimal extraction time.

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