An automated production control system

Abstract

The application relates to the technical field of automatic control, in particular to an automatic production control system, which comprises a raw material pretreatment module, a reaction kettle feeding module, a reaction condition control module, a reaction end point judgment module, a separation and purification module and a finished product packaging module; through real-time detection of the temperature change and distribution in the reaction kettle, the stirring range can be automatically adjusted, so that the temperature distribution in the reaction kettle is uniform through stirring, resource waste caused by frequent switching of mechanical equipment is avoided, meanwhile, through self-adaptive adjustment of the stirring range, the reaction environment in the reaction kettle can be ensured to be consistent, and the reaction processes at all places caused by different temperatures are avoided; through real-time acquisition of the images of the conveyed raw materials, whether the mixing degree of the mixed raw materials meets the requirements can be further verified, the quality of the products is improved, and the missing raw material amount can be automatically compensated according to the proportioning of various raw materials, so that the accuracy of the raw material proportioning is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic control, and particularly relates to an automatic production control system. BACKGROUND

[0002] Vitamin K is a fat-soluble vitamin, which plays a key role in the blood clotting process and bone health in the human body. The production of vitamin K mainly includes two methods of natural extraction and chemical synthesis, and can also be produced by microbial fermentation.

[0003] In the production process, the raw materials need to be put into the reaction kettle for reaction, and the reaction conditions in the reaction kettle need to be monitored in real time, such as the reaction temperature. If the reaction temperature changes, the running state of the mechanical equipment in the reaction kettle needs to be adjusted accordingly, such as heating, cooling, etc. However, due to the uneven temperature distribution inside the reaction kettle, the detection data will be inaccurate, which will lead to frequent adjustment of the start and stop of the mechanical equipment, resulting in waste of resources and affecting the normal reaction of the raw materials in the reaction kettle. SUMMARY

[0004] The purpose of the present application is to provide an automatic production control system to solve the problems in the prior art.

[0005] To achieve the above purpose, the present application provides the following technical scheme: an automatic production control system, the production control system comprising a raw material pretreatment module, a reaction kettle feeding module, a reaction condition control module, a reaction endpoint judgment module, a separation and purification module and a finished product packaging module;

[0006] The raw material pretreatment module is used for weighing and screening the raw materials, and mixing the screened raw materials to form mixed raw materials.

[0007] The reaction kettle feeding module is used for feeding the mixed raw materials into the reaction kettle for reaction to obtain a target mixture.

[0008] The reaction condition control module is used for monitoring the reaction parameters in the reaction kettle in real time, and automatically adjusting the running state of the mechanical equipment in the reaction kettle according to the reaction parameters; the reaction parameters include temperature parameters; the running state of the mechanical equipment in the reaction kettle includes stirring, and the stirring range is adjusted according to the temperature value.

[0009] The reaction judgment module is used for judging the time of the reaction endpoint and automatically stopping the reaction.

[0010] The separation and purification module is used for solid-liquid separation of the target mixture, and crystallization treatment of the separated liquid to obtain target product crystals.

[0011] The finished product packaging module is used for packaging target product crystals passing quality detection to obtain products, and storing the products in a warehouse.

[0012] The reaction adjustment control module comprises:

[0013] The reaction parameters inside the reaction kettle are detected by sensors, and the reaction parameters include temperature and pressure.

[0014] The sensors include a temperature sensor and a pressure sensor, the temperature sensor is used to collect the temperature parameter inside the reaction kettle, and the pressure sensor is used to collect the pressure parameter inside the reaction kettle.

[0015] The operating states of the mechanical equipment include heating, cooling, stirring and aeration.

[0016] If the temperature parameter is higher than the set threshold value, the operating state of the mechanical equipment in the reaction kettle is switched to cooling.

[0017] If the temperature parameter is lower than the set threshold value, the operating state of the mechanical equipment in the reaction kettle is switched to heating.

[0018] And according to the temperature distribution of each region in the reaction kettle, the stirring range is adjusted.

[0019] If the pressure parameter exceeds the set threshold value, the operating state of the mechanical equipment in the reaction kettle is switched to aeration.

[0020] The process of adjusting the stirring range according to the temperature distribution of each region in the reaction kettle is:

[0021] The raw materials are stirred by a stirring device, the stirring device comprises a stirring shaft, and the adjustment of the stirring range comprises vertical range adjustment and horizontal range adjustment.

[0022] The process of vertical range adjustment is:

[0023] A plurality of temperature sensors are arranged inside the reaction kettle, the temperature sensors on the same horizontal plane are divided into the same monitoring region, and the space in the reaction kettle is divided into a plurality of monitoring regions.

[0024] Temperature data collected by each temperature sensor is obtained, the data of the temperature sensors in the same monitoring region is stored in the same set, and the data is sorted according to time sequence, the average temperature of the monitoring region is calculated, and the region temperature of the horizontal plane is recorded.

[0025] The region temperature corresponding to each monitoring region is calculated, if the difference between the region temperatures of two adjacent monitoring regions is greater than the set threshold value, the stirring shaft is controlled to move up and down, the vertical range of stirring is adjusted, and the stirring range covers the two adjacent monitoring regions.

[0026] The process of horizontal range adjustment is:

[0027] Mark a certain temperature sensor as a first target temperature sensor, mark other temperature sensors in the reaction kettle as to-be-verified temperature sensors, acquire temperature values collected by the to-be-verified temperature sensors adjacent to the first target temperature sensor within the same time, calculate a temperature difference between the temperature values collected by the first target temperature sensor and the temperature values collected by the to-be-verified temperature sensors, if the temperature difference exceeds a temperature difference threshold range, list the to-be-verified temperature sensor as a second target temperature sensor;

[0028] Acquire temperature values of the to-be-verified temperature sensors adjacent to the second target temperature sensor, calculate a temperature difference between the temperature value collected by the second target temperature sensor and the temperature value of the adjacent to-be-verified temperature sensor at the same time, if the temperature difference does not exceed the temperature difference threshold range, mark it as a second target temperature sensor, if the temperature difference exceeds the temperature difference threshold range, mark it as a first target temperature sensor;

[0029] Establish a three-dimensional model with a certain point of the reaction kettle as an origin, divide the coordinates of the adjacent first target temperature sensors into a first set, divide the coordinates of the adjacent second target temperature sensors into a second set, form a closed space connected at the head and tail by connecting the coordinates in the first set, and form a closed space connected at the head and tail by connecting the coordinates in the second set;

[0030] Acquire position coordinates of both ends of the stirring shaft, form a connecting line, acquire a stirring range of the stirring shaft in the horizontal direction, adjust the stirring direction of the stirring shaft, so that the stirring range of the stirring shaft covers the closed space, and the stirring shaft does not contact the inner wall of the reaction kettle.

[0031] The pretreatment module comprises a raw material weighing unit, a raw material sorting unit and a raw material mixing unit;

[0032] The raw material weighing unit is used for automatically receiving raw materials and weighing the raw materials;

[0033] The raw material sorting unit is used for cleaning, screening and classifying the raw materials;

[0034] The raw material mixing unit automatically controls a pulverizer and a mixer to pulverize and mix the raw materials according to a preset formula, so as to obtain mixed raw materials.

[0035] The reaction kettle feeding module comprises an image acquisition unit, a feature recognition unit and a stirring reaction control unit;

[0036] The image acquisition unit is used for acquiring images of the conveyed mixed raw materials, taking adjacent two acquired images as a group of control groups, and storing the control groups in a database;

[0037] The feature recognition unit comprises:

[0038] The particle characteristics of each raw material are input into a feature recognition model, an image of the control group is obtained, the image is grid divided, a certain grid is randomly selected for feature recognition, and the number of particles of each raw material covered in the grid is counted;

[0039] If the number of particles of the same raw material in the adjacent two images is within the error range, it is marked as qualified; if the number of particles of the same raw material in the adjacent two images exceeds the error range, the excess amount of the raw material exceeding the error range is calculated according to the raw material ratio, and it is recorded in the candidate set;

[0040] The excess amount of the same raw material in the candidate set is extracted, the excess amount includes the number of particles higher than the error range and the number of particles lower than the error range, the total excess amount corresponding to the same raw material is counted, and the number of images of the control group is counted, the total excess amount is divided by the number of images of the control group to obtain the error mean, if the error mean does not exceed the preset error threshold, the reaction kettle is directly controlled to react, if the error mean exceeds the preset error threshold, the missing raw material particles are added to the reaction kettle, and the number of added raw material particles is equal to the error mean multiplied by the weight factor, wherein the weight factor is preset.

[0041] The reaction judging module includes an end point prediction unit, which automatically judges the reaction end point based on a preset algorithm or a sensor signal, and automatically stops the reaction when the reaction end point is reached.

[0042] The separation and purification module includes a solid-liquid separation unit, an extraction unit and a crystallization unit;

[0043] The solid-liquid separation unit uses a centrifuge or a filter for solid-liquid separation to obtain solid and liquid;

[0044] The extraction unit uses an extractant to extract the target product from the liquid, and obtains a concentrated liquid by evaporation and concentration;

[0045] The crystallization unit controls the crystallization temperature and stirring speed to obtain target product crystals and performs drying treatment.

[0046] The finished product packaging module includes a product detection unit, a product packaging unit and a finished product storage unit;

[0047] The product detection unit uses online detection equipment to detect the quality of the product, and the quality detection includes content determination and impurity analysis;

[0048] The product packaging unit uses an automatic packaging machine to package the product according to the preset specifications, and prints the production batch number and date information;

[0049] The finished product storage unit classifies and stores and manages the finished product.

[0050] Compared with the prior art, the present application has the following advantages:

[0051] 1. By detecting the temperature change and distribution in the reaction kettle in real time, the stirring range can be automatically adjusted, so that the temperature distribution in the reaction kettle can be made uniform through stirring, resource waste caused by frequent switching of mechanical equipment is avoided, and through self-adaptive adjustment of the stirring range, the reaction environment in the reaction kettle can be ensured to be consistent, and different reaction processes caused by different temperatures are avoided.

[0052] 2. By collecting images of the transported raw materials in real time, it can be further verified whether the mixing degree of the mixed raw materials meets the requirements, so as to improve the quality of the products, and the amount of the missing raw materials can be automatically compensated according to the proportion of various raw materials, so as to ensure the accuracy of the raw material proportioning. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 It is a module schematic diagram of the automatic production control system of the present application. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0055] Embodiment: As shown in the figure, the present application provides an automatic production control system, which comprises a raw material pretreatment module, a reaction kettle feeding module, a reaction condition control module, a reaction endpoint judgment module, a separation and purification module and a finished product packaging module. Figure 1

[0056] The raw material pretreatment module is used for screening after weighing the raw materials, and mixing the screened raw materials to form mixed raw materials.

[0057] The reaction kettle feeding module is used for feeding the mixed raw materials into the reaction kettle for reaction to obtain a target mixture.

[0058] The reaction condition control module is used for monitoring the reaction parameters in the reaction kettle in real time, and automatically adjusting the operation state of the mechanical equipment in the reaction kettle according to the reaction parameters; the reaction parameters include temperature parameters; the operation state of the mechanical equipment in the reaction kettle includes stirring, and the stirring range is adjusted according to the temperature value.

[0059] ​The reaction judging module is used for judging the time of reaction end point and automatically stopping reaction;

[0060] The separation and purification module is used for separating and purifying the target mixture, and performing crystallization treatment on the separated liquid to obtain target product crystals.

[0061] The finished product packaging module is used for packaging the target product crystals that pass the quality detection to obtain products, and storing the products in a warehouse.

[0062] The reaction adjusting and controlling module comprises:

[0063] The reaction parameters inside the reaction kettle are detected by sensors, and the reaction parameters include temperature and pressure.

[0064] The sensors include temperature sensors and pressure sensors, the temperature sensors are used for collecting temperature parameters inside the reaction kettle, and the pressure sensors are used for collecting pressure parameters inside the reaction kettle.

[0065] The operating states of the mechanical equipment include heating, cooling, stirring and aeration.

[0066] If the temperature parameter is higher than the set threshold value, the operating state of the mechanical equipment in the reaction kettle is switched to cooling.

[0067] If the temperature parameter is lower than the set threshold value, the operating state of the mechanical equipment in the reaction kettle is switched to heating.

[0068] And the range of stirring is adjusted according to the temperature distribution of each region in the reaction kettle.

[0069] If the pressure parameter exceeds the set threshold value, the operating state of the mechanical equipment in the reaction kettle is switched to aeration.

[0070] The process of adjusting the range of stirring according to the temperature distribution of each region in the reaction kettle is:

[0071] The raw materials are stirred by a stirring device, the stirring device comprises a stirring shaft, and the range of stirring comprises vertical range adjustment and horizontal range adjustment.

[0072] The process of vertical range adjustment is:

[0073] A plurality of temperature sensors are arranged inside the reaction kettle, the temperature sensors on the same horizontal plane are divided into the same monitoring region, and the space in the reaction kettle is divided into a plurality of monitoring regions.

[0074] The temperature data collected by each temperature sensor is obtained, the data of the temperature sensors in the same monitoring region is stored in the same set, and the data is sorted according to time sequence, the average temperature of the monitoring region is calculated, and the average temperature is recorded as the region temperature of the horizontal plane.

[0075] The temperature of each monitoring area is calculated, and if the temperature difference between two adjacent monitoring areas is greater than a set threshold, the stirring shaft is controlled to move up and down to adjust the vertical range of stirring, so that the stirring range covers the two adjacent monitoring areas.

[0076] The horizontal range adjustment process is as follows:

[0077] A certain temperature sensor is marked as a first target temperature sensor, and other temperature sensors in the reactor are marked as to-be-verified temperature sensors, the temperature values collected by the to-be-verified temperature sensors adjacent to the first target temperature sensor at the same time are obtained, the temperature difference between the temperature values collected by the first target temperature sensor and the to-be-verified temperature sensors is calculated, and if the temperature difference exceeds a temperature difference threshold range, the to-be-verified temperature sensor is listed as a second target temperature sensor.

[0078] The temperature values of the to-be-verified temperature sensors adjacent to the second target temperature sensor are obtained, the temperature difference between the temperature value collected by the second target temperature sensor and the temperature value of the adjacent to-be-verified temperature sensor at the same time is calculated, if the temperature difference does not exceed the temperature difference threshold range, the to-be-verified temperature sensor is marked as a second target temperature sensor, and if the temperature difference exceeds the temperature difference threshold range, the to-be-verified temperature sensor is marked as a first target temperature sensor.

[0079] A three-dimensional model is established with a certain point of the reactor as the origin, the coordinates of the adjacent first target temperature sensors are divided into a first set, the coordinates of the adjacent second target temperature sensors are divided into a second set, the coordinates in the first set are connected to form a closed space connected at the head and tail, and the coordinates in the second set are connected to form a closed space connected at the head and tail.

[0080] The position coordinates of the two ends of the stirring shaft are obtained, a connecting line is formed, the stirring range of the stirring shaft in the horizontal direction is obtained, the stirring direction of the stirring shaft is adjusted, so that the stirring range of the stirring shaft covers the closed space, and the stirring shaft does not contact the inner wall of the reactor.

[0081] By real-time detection of the change and distribution of the temperature in the reactor, the stirring range can be automatically adjusted, so that the temperature distribution in the reactor is uniform through stirring, resource waste caused by frequent switching of mechanical equipment is avoided, and through adaptive adjustment of the stirring range, the reaction environment in the reactor can be kept consistent, and the reaction progress at different places caused by different temperatures is avoided.

[0082] The pretreatment module comprises a raw material weighing unit, a raw material sorting unit and a raw material mixing unit.

[0083] The raw material weighing unit is used for automatically receiving raw materials and weighing the raw materials.

[0084] The raw material sorting unit is used for cleaning, screening and classifying the raw materials;

[0085] The raw material mixing unit automatically controls the pulverizer and the mixer to pulverize and mix the raw materials according to a preset formula, so as to obtain mixed raw materials.

[0086] The reaction kettle feeding module comprises an image acquisition unit, a feature recognition unit and a stirring reaction control unit;

[0087] The image acquisition unit is used for acquiring images of the conveyed mixed raw materials, taking adjacent two acquired images as a control group, and storing the control group in a database;

[0088] The feature recognition unit comprises:

[0089] The particle features of each raw material are input into a feature recognition model, the images of the control group are acquired, the images are grid-divided, a certain grid is randomly selected for feature recognition, and the number of particles of each raw material covered in the grid is counted;

[0090] If the number of particles of the same raw material in adjacent two images is within an error range, it is marked as qualified; if the number of particles of the same raw material in adjacent two images exceeds the error range, the excess amount of the raw material exceeding the error range is calculated according to the raw material ratio, and it is recorded in a candidate set;

[0091] The excess amount of the same raw material in the candidate set is extracted, the excess amount includes the number of particles higher than the error range and the number of particles lower than the error range, the total excess amount corresponding to the same raw material is counted, and the total excess amount is divided by the number of images of the control group to obtain an error mean value; if the error mean value does not exceed a preset error threshold, the reaction kettle is directly controlled to react; if the error mean value exceeds the preset error threshold, the missing raw material particles are added to the reaction kettle, and the number of the added raw material particles is equal to the error mean value multiplied by a weight factor, wherein the weight factor is preset.

[0092] By acquiring the images of the conveyed raw materials in real time, it can be further verified whether the mixing degree of the mixed raw materials meets the requirements, so as to improve the quality of the products, and the missing amount of raw materials can be automatically compensated according to the ratio of various raw materials, so as to ensure the accuracy of the raw material ratio.

[0093] The reaction judgment module comprises an end point prediction unit, which automatically judges the reaction end point based on a preset algorithm or a sensor signal, and automatically stops the reaction when the reaction end point is reached.

[0094] The separation and purification module comprises a solid-liquid separation unit, an extraction unit and a crystallization unit;

[0095] The solid-liquid separation unit adopts a centrifuge or a filter to perform solid-liquid separation, and obtains solid matter and liquid;

[0096] The extraction unit uses an extractant to extract the target product from the liquid, and obtains concentrated liquid through evaporation concentration;

[0097] The crystallization unit controls the crystallization temperature and stirring speed to obtain target product crystals, and performs drying treatment.

[0098] The finished product packaging module comprises a product detection unit, a product packaging unit and a finished product storage unit;

[0099] The product detection unit uses online detection equipment to perform quality detection on the product, and the quality detection comprises content determination and impurity analysis;

[0100] The product packaging unit uses an automatic packaging machine to perform product packaging according to a preset specification, and prints production batch number and date information;

[0101] The finished product storage unit classifies and stores and manages the finished product.

[0102] It is apparent to those skilled in the art that the present application is not limited to the details of the foregoing exemplary embodiments, but can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered in all respects as illustrative and not restrictive, and the scope of the present application should be defined by the appended claims rather than the above description, and it is intended to include all changes falling within the meaning and scope of the equivalent elements of the claims. Any reference signs in the claims should not be considered as limiting the claims involved.

Claims

1. An automated production control system, characterized in that: The production control system includes a raw material pretreatment module, a reactor feeding module, a reaction condition control module, a reaction endpoint determination module, a separation and purification module, and a finished product packaging module. The raw material pretreatment module is used to weigh and screen the raw materials, and then mix the screened raw materials to form a mixed raw material. The reactor feeding module is used to transport the mixed raw materials into the reactor for reaction to obtain the target mixture; The reaction condition control module is used to monitor the reaction parameters inside the reactor in real time and automatically adjust the operating status of the mechanical equipment inside the reactor according to the reaction parameters; the reaction parameters include temperature parameters; the operating status of the mechanical equipment inside the reactor includes stirring, and the stirring range is adjusted according to the temperature value; The reaction endpoint determination module is used to determine the time of the reaction endpoint and automatically stop the reaction; The separation and purification module is used to perform solid-liquid separation on the target mixture and to crystallize the separated liquid to obtain the target product crystals. The finished product packaging module is used to package the target product crystals that have passed quality inspection to obtain the product, and to store the product in the warehouse; The reaction condition control module includes: Sensors are used to detect reaction parameters inside the reactor, including temperature and pressure. The sensors include a temperature sensor and a pressure sensor. The temperature sensor is used to collect temperature parameters inside the reactor; the pressure sensor is used to collect pressure parameters inside the reactor. The operating states of the mechanical equipment include heating, cooling, stirring, and ventilation; If the temperature parameter exceeds the set threshold, the operating status of the mechanical equipment inside the reactor will be switched to cooling. If the temperature parameter is lower than the set threshold, the operating status of the mechanical equipment inside the reactor will be switched to heating. Furthermore, the stirring range is adjusted according to the temperature distribution in different areas of the reactor; If the pressure parameter exceeds the set threshold, the output will switch the operating status of the mechanical equipment inside the reactor to ventilation. The process of adjusting the stirring range according to the temperature distribution in different areas of the reactor is as follows: The raw materials are stirred using a stirring device, which includes a stirring shaft, and the stirring range can be adjusted by both vertical and horizontal range adjustment. The process of adjusting the vertical range is as follows: Several temperature sensors are installed inside the reactor. Temperature sensors on the same horizontal plane are divided into the same monitoring area, and the space inside the reactor is divided into several monitoring areas. Acquire temperature data collected by each temperature sensor, store the data of temperature sensors in the same monitoring area in the same set, sort them according to time series, calculate the average temperature of the monitoring area, and record it as the area temperature of that horizontal plane; Calculate the temperature of each monitoring area. If the temperature difference between two adjacent monitoring areas is greater than the set threshold, control the stirring shaft to move up and down and adjust the vertical range of stirring so that the stirring range covers the two adjacent monitoring areas. The process of adjusting the horizontal range is as follows: A certain temperature sensor is marked as the first target temperature sensor, and other temperature sensors in the reactor are marked as temperature sensors to be verified. The temperature values ​​collected by the temperature sensors to be verified adjacent to the first target temperature sensor at the same time are obtained, and the temperature difference between them and the temperature values ​​collected by the first target temperature sensor is calculated. If the temperature difference exceeds the temperature difference threshold range, the temperature sensor to be verified is listed as the second target temperature sensor. Acquire the temperature value of the temperature sensor to be verified adjacent to the second target temperature sensor, calculate the temperature difference between the temperature value collected by the second target temperature sensor and the temperature value of the adjacent temperature sensor to be verified at the same time, and if the temperature difference does not exceed the temperature difference threshold range, mark it as the second target temperature sensor; if the temperature difference exceeds the temperature difference threshold range, mark it as the first target temperature sensor. A three-dimensional model is established with a certain point of the reactor as the origin. The coordinates of the adjacent first target temperature sensor are divided into the first set, and the coordinates of the adjacent second target temperature sensor are divided into the second set. The coordinates in the first set are connected by lines to form a closed space with the beginning and the end connected. The coordinates in the second set are connected by lines to form a closed space with the beginning and the end connected. Obtain the position coordinates of both ends of the stirring shaft, connect them, obtain the stirring range of the stirring shaft in the horizontal direction, adjust the stirring direction of the stirring shaft so that the stirring range of the stirring shaft covers the closed space, and the stirring shaft does not contact the inner wall of the reactor.

2. The automated production control system according to claim 1, characterized in that: The raw material pretreatment module includes a raw material weighing unit, a raw material sorting unit, and a raw material mixing unit; The raw material weighing unit is used to automatically receive raw materials and weigh them. The raw material sorting unit is used to clean, screen, and classify the raw materials; The raw material mixing unit automatically controls the pulverizer and mixer to pulverize and mix the raw materials according to the preset formula, so as to obtain mixed raw materials.

3. An automated production control system according to claim 1, characterized in that: The reactor feeding module includes an image acquisition unit and a feature recognition unit; The image acquisition unit is used to acquire images of the transported mixed raw materials, and stores two adjacent acquired images as a control group in the database; The feature recognition unit includes: The particle characteristics of each raw material are input into the feature recognition model, the image of the control group is obtained, the image is divided into grids, a grid is randomly selected for feature recognition, and the number of particles of each raw material covered in the grid is counted. If the number of particles of the same raw material in two adjacent images is within the error range, it is marked as qualified; if the number of particles of the same raw material in two adjacent images exceeds the error range, the excess amount of the raw material exceeding the error range is calculated according to the raw material ratio and recorded in the candidate set. Extract the excess amount corresponding to the same raw material in the candidate set. The excess amount includes the number of particles above the error range and the number of particles below the error range. Calculate the total excess amount corresponding to the same raw material and the number of images in the control group. Divide the total excess amount by the number of images in the control group to obtain the mean error. If the mean error does not exceed the preset error threshold, the reactor is directly controlled to react. If the mean error exceeds the preset error threshold, the missing raw material particles are added to the reactor. The number of added raw material particles is equal to the mean error multiplied by a weighting factor, where the weighting factor is preset.

4. An automated production control system according to claim 1, characterized in that: The reaction endpoint determination module includes an endpoint prediction unit, which automatically determines the reaction endpoint based on a preset algorithm or sensor signals, and automatically stops the reaction when the reaction endpoint is reached.

5. An automated production control system according to claim 1, characterized in that: The separation and purification module includes a solid-liquid separation unit, an extraction unit, and a crystallization unit; The solid-liquid separation unit uses a centrifuge or filter to separate solids and liquids; The extraction unit uses an extractant to extract the target product from the liquid and obtains a concentrated solution by evaporation and concentration. The crystallization unit obtains the target product crystals by controlling the crystallization temperature and stirring speed, and then performs drying treatment.

6. An automated production control system according to claim 1, characterized in that: The finished product packaging module includes a product testing unit, a product packaging unit, and a finished product warehousing unit; The product testing unit uses online testing equipment to perform quality testing on the product, including content determination and impurity analysis. The product packaging unit uses an automatic packaging machine to package products according to preset specifications and prints production batch numbers and date information; The finished product warehousing unit classifies, stores, and manages finished products.

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