Intelligent control system of camellia seed automatic drying device

Abstract

The application discloses an intelligent control system of an automatic camellia seed drying device, and relates to the technical field of agricultural product processing.The system comprises a drying device, a man-machine interaction module, a drying execution module, a data analysis module and a drying judgment module.The man-machine interaction module is used for receiving inputted drying parameters, outputting drying instructions and parameter combinations.The drying execution module is used for receiving the drying instructions and adjusting the parameters of the drying device.The drying judgment module is used for analyzing the humidity based on drying judgment information and sending a stop drying instruction.The application is used to solve the problem that, in the prior art, the humidity in the device and the fan rotating speed during the drying process are not monitored in real time, the fan rotating speed cannot be adjusted in time based on the humidity in the device, and the drying efficiency is low, the quality is poor or the drying energy consumption is too large.

Description

Technical Field

[0001] This invention relates to the field of agricultural product processing technology, specifically to an intelligent control system for an automatic camellia seed drying device. Background Technology

[0002] Camellia seeds, also known as oil tea seeds, are the fruit of the camellia tree. They are rich in oil and various nutrients, making them a high-quality edible oil and chemical raw material. If the harvested camellia seeds have too high a moisture content, the seed shells are soft and difficult to break, and they have high plasticity, making it easy for the material to leak during pressing. Therefore, it is necessary to dry the camellia seeds with too high a moisture content to ensure that the moisture content does not exceed 13% in order to facilitate dehulling and rolling. The drying of camellia seeds is very important in oil pressing, and the quality of drying directly affects the oil yield.

[0003] Existing methods for drying camellia seeds mostly involve sun drying or simple hot air drying, which suffer from problems such as long drying time, low efficiency, and uneven drying results. These methods also easily lead to the loss of nutrients and a decline in quality. For example, patent application CN111912183A discloses a low-temperature constant-temperature drying device for camellia seeds and its usage method. This solution increases the contact area between the camellia seeds and air by setting up a seed placement device, an air intake filter, a gas treatment device, and a gas circulation device, thereby improving the drying effect and avoiding some of the problems in common drying methods. However, it does not monitor the humidity and fan speed within the drying device during the drying process. In practical applications, excessively low fan speeds lead to consistently high humidity within the device, resulting in a low drying rate and poor product quality. Conversely, excessively high fan speeds lead to resource waste. Therefore, it is necessary to improve the existing control methods for drying devices. Summary of the Invention

[0004] The present invention aims to at least partially solve one of the technical problems in the prior art. By improving the control method of the drying device, it solves the problem that the lack of real-time monitoring of humidity and fan speed in the device during the drying process leads to the inability to adjust the fan speed in time based on the humidity in the device, resulting in low drying efficiency, poor quality or excessive drying energy consumption.

[0005] To achieve the above objectives, in a first aspect, this application provides an intelligent control system for an automatic camellia seed drying device, comprising a drying device, a human-machine interaction module, a drying execution module, a data analysis module, and a drying judgment module; the drying device is used to dry camellia seeds.

[0006] The human-computer interaction module is used to receive input drying parameters, perform calculations and analyses on the current time based on the drying parameters, and output drying instructions and parameter combinations based on the calculation and analysis results.

[0007] The drying execution module is used to receive drying instructions, control the drying device to perform drying processing, monitor time based on parameter combinations, and adjust the parameters of the drying device based on the monitoring results.

[0008] The data analysis module is used to acquire analytical parameters within the drying device, including humidity and fan speed; divide the fan speed into multiple speed ranges; calculate multiple humidity levels and output a speed reference ratio; adjust the fan speed range based on the speed reference ratio and output drying judgment information;

[0009] The drying judgment module is used to analyze the humidity based on the drying judgment information and send a stop drying command based on the analysis results.

[0010] Furthermore, the drying device is equipped with a drying chamber, a stirring control device, and a humidity control device;

[0011] The stirring control device is used to stir the camellia seeds in the drying chamber so that the camellia seeds can be tumbled and dried.

[0012] The humidity control device is equipped with a blower, an exhaust fan heater, and a condenser; the blower is located on the left side of the drying chamber, and the exhaust fan is located on the right side of the drying chamber;

[0013] The exhaust fan can draw out air from the drying chamber and deliver the drawn-out air to the condenser;

[0014] The condenser is used to condense the air drawn out by the exhaust fan, reduce the humidity of the air drawn out, and deliver the condensed air to the heater.

[0015] The heater is used to heat the condensed air and blow it into the drying chamber by the blower.

[0016] Furthermore, the drying chamber is equipped with a temperature sensor located in the middle of the drying chamber, a first humidity sensor located on the left side of the drying chamber, and a second humidity sensor located on the right side of the drying chamber.

[0017] The temperature sensor is used to detect the temperature inside the drying chamber;

[0018] The first and second humidity sensors are used to detect the humidity inside the drying chamber.

[0019] Furthermore, the human-computer interaction module is configured with a parameter setting strategy, which includes:

[0020] Receive drying parameters input by the user, including reference humidity, drying time, and drying temperature at different time points within the drying time; mark the initial drying temperature as the start temperature;

[0021] Get the current time, calculate the sum of the current time and each time point, and mark it as the control time; combine the control time with the drying temperature corresponding to the time point in the calculated control time to form a parameter combination, and obtain multiple parameter combinations;

[0022] Send the drying command, start temperature, and parameter combination to the drying execution module.

[0023] Furthermore, the drying execution module is configured with a drying execution strategy, which includes:

[0024] Upon receiving the drying command, the heater's heating temperature is set to the starting temperature, the blower is controlled to blow air into the drying chamber at minimum speed, and the stirring control device is controlled to start stirring.

[0025] The real-time time is monitored, and when the real-time time is equal to the control time in any parameter combination, the heating temperature of the heater is adjusted to the drying temperature in the parameter combination.

[0026] Furthermore, the data analysis module is configured with a speed analysis strategy, which includes:

[0027] When drying begins, the temperature sensor acquires the temperature inside the chamber at regular intervals and compares it with the starting temperature; if the temperature inside the chamber is lower than the starting temperature, no action is taken.

[0028] Obtain the maximum and minimum speeds of the blower to get the speed range [minimum speed, maximum speed]; use a first number of speeds to divide the speed range into equal arithmetic progressions to get a second number of speeds, and label them as the first to the nth speed ranges in ascending order of speed;

[0029] Calculate the average of the maximum and minimum rotation speeds and mark it as the test wind speed. When the temperature inside the chamber is equal to the starting temperature, adjust the blower and exhaust fan to run at the test wind speed. Use the first humidity sensor to obtain the humidity inside the chamber and mark it as the first humidity. Use the second humidity sensor inside the drying chamber to obtain the humidity inside the chamber and mark it as the second humidity.

[0030] Calculate the difference between the second humidity and the first humidity, and mark it as the humidity reference value.

[0031] Furthermore, the data analysis module is also configured with a speed adjustment strategy, which includes:

[0032] The first and second humidity values ​​are acquired at the first time interval, and the difference between the second and first humidity values ​​is calculated and marked as the humidity analysis value.

[0033] Calculate the ratio of the humidity reference value to the humidity analysis value, and label it as the rotation speed reference ratio;

[0034] Obtain the current speed of the blower and categorize it down to the nearest speed range;

[0035] Compare the speed reference ratio with the ratio reference range. If the speed reference ratio is within the reference range, output drying judgment information.

[0036] If the speed reference ratio is less than the left end of the reference range, increase the current speed gear by one gear.

[0037] If the speed reference ratio is greater than the right end of the reference range, the current speed setting will be reduced by one level, and drying judgment information will be output.

[0038] Furthermore, the drying judgment module is configured with a drying judgment strategy, which includes:

[0039] When a drying judgment information is received, the humidity inside the chamber is obtained using the second humidity sensor and marked as the judgment humidity.

[0040] The humidity is compared with the reference humidity. If the humidity is less than or equal to the reference humidity, a stop drying command is sent to the drying execution module to stop the drying process; the camellia seeds are then transferred to the storage area.

[0041] If the humidity is determined to be higher than the reference humidity, no action is taken.

[0042] The beneficial effects of this invention are as follows: By acquiring the drying parameters input by the user, calculating and combining the drying parameters, multiple parameter combinations can be obtained, including time and temperature; based on the parameter combinations, the parameters of the drying device can be controlled, thereby realizing the automation of the drying process;

[0043] This invention further divides the fan speed of the drying device into multiple speed levels, monitors the humidity within the device, and calculates and analyzes the monitoring results. Based on the calculation and analysis results, the fan speed is adjusted, and the drying process is automatically stopped when the drying is deemed complete. The advantages of this approach are twofold: by dividing the fan speed into multiple speed levels and adjusting the fan speed based on the humidity within the humidity device, precise regulation of humidity and airflow is achieved, ensuring the uniformity and efficiency of the drying process and avoiding the problems of long drying times and uneven results in traditional methods. Secondly, the automatic adjustment function significantly improves drying efficiency and product quality, reduces nutrient loss, and thus enhances the overall production efficiency and market competitiveness of camellia seeds. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the system of the present invention;

[0045] Figure 2This is a schematic diagram of the hardware structure of the drying device of the present invention;

[0046] Figure 3 This is a schematic diagram of the internal structure of the drying device of the present invention. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] Example 1, please refer to Figure 1 as well as Figure 2 As shown, in a first aspect, this application provides an intelligent control system for an automatic camellia seed drying device, including a drying device, a human-machine interaction module, a drying execution module, a data analysis module, and a drying judgment module;

[0049] The drying device is used to dry camellia seeds;

[0050] Please see Figure 3 As shown, Figure 3 T1 is the first humidity sensor, T2 is the temperature sensor, T3 is the second humidity sensor, T4 is the vacuum pump, T5 is the condenser, T6 is the blower, T7 is the stirring control device, which performs stirring through a gear structure, and T8 is the heater.

[0051] The drying device is equipped with a drying chamber, a stirring control device, and a humidity control device;

[0052] The drying chamber is equipped with a temperature sensor located in the middle of the drying chamber, a first humidity sensor located on the left side of the drying chamber, and a second humidity sensor located on the right side of the drying chamber.

[0053] Temperature sensors are used to detect the temperature inside the drying chamber;

[0054] The first and second humidity sensors are used to detect the humidity inside the drying chamber;

[0055] The turning and stirring control device is used to turn and stir the camellia seeds in the drying chamber so that the camellia seeds can be turned and dried.

[0056] The humidity control device is equipped with a blower, an exhaust fan heater, and a condenser; the blower is located on the left side of the drying chamber, and the exhaust fan is located on the right side of the drying chamber.

[0057] The exhaust fan can draw air out of the drying chamber and deliver the drawn air to the condenser;

[0058] The condenser is used to condense the air drawn in by the exhaust fan, reduce the humidity of the air, and deliver the condensed air to the heater;

[0059] The heater is used to heat the condensed air and blow it into the drying chamber via a blower.

[0060] The human-computer interaction module is used to receive input drying parameters, perform calculations and analysis on the current time based on the drying parameters, and output drying instructions and parameter combinations based on the calculation and analysis results.

[0061] The human-computer interaction module is configured with parameter setting strategies, which include:

[0062] Receive drying parameters input by the user, including reference humidity, drying time, and drying temperature at different time points within the drying time; mark the initial drying temperature as the start temperature;

[0063] It should be noted that the reference humidity is the humidity of the air, specifically set to 20%. That is, if the humidity of the fresh air blown in by the blower passes through the drying device and reaches the second humidity sensor at 20%, it means that the humidity of the camellia seeds is about 10% to 12%, which meets the storage standards for camellia seeds.

[0064] Drying time represents the total time required from the start to the end of the drying process. Camellia seeds undergo multiple stages during the drying process, each requiring a different drying temperature. For example, the drying temperature is set to 55℃ at the beginning of the drying process. After 1 hour of drying, the temperature needs to be adjusted to 60℃, and after 2 hours, it needs to be adjusted to 63℃. There are three time points in total. The current time is then obtained. If the current time is 12:00, then the other two control times besides the start drying time are 13:00 and 14:00. The time points are then combined with the drying temperature to obtain two parameter combinations: [13:00, 60℃] and [14:00, 63℃].

[0065] Get the current time, calculate the sum of the current time and each time point, and mark it as the control time; combine the control time with the drying temperature corresponding to the time point in the calculated control time to form a parameter combination, and obtain multiple parameter combinations;

[0066] Send the drying command, start temperature, and parameter combination to the drying execution module.

[0067] The drying execution module is used to receive drying instructions, control the drying device to perform drying processing, monitor time based on parameter combinations, and adjust the parameters of the drying device based on the monitoring results.

[0068] The drying execution module is configured with a drying execution strategy, which includes:

[0069] Upon receiving the drying command, the heater's heating temperature is set to the starting temperature, the blower is controlled to blow air into the drying chamber at minimum speed, and the stirring control device is controlled to start stirring.

[0070] It should be noted that using a turning and stirring method to dry camellia seeds can make the seeds heat more evenly during the drying process, thereby improving the quality of the dried product; the purpose of blowing air with the blower at the minimum power is to increase the heat exchange time between the high-temperature blowing air and the air in the chamber, thereby reducing the energy consumption required to heat the camellia seeds.

[0071] The real-time time is monitored, and when the real-time time is equal to the control time in any parameter combination, the heating temperature of the heater is adjusted to the drying temperature in the parameter combination.

[0072] In practical implementation, taking a start time of 12:00 and parameter combinations of [13:00, 60℃] and [14:00, 63℃] as an example, the real-time time is monitored. When the real-time time is equal to the control time in any parameter combination, the heating temperature of the heater is adjusted to the drying temperature value in the parameter combination. When the current time is monitored as 13:00, the heating temperature of the heater is adjusted to 60℃; when the current time is monitored as 14:00, the heating temperature of the heater is adjusted to 63℃.

[0073] The data analysis module is used to acquire analytical parameters within the drying device, including humidity and fan speed; it divides the fan speed into multiple speed ranges; it calculates multiple humidity levels and outputs a speed reference ratio; based on the speed reference ratio, it adjusts the fan speed range and outputs drying judgment information.

[0074] The data analysis module is configured with a speed analysis strategy, which includes:

[0075] When drying begins, the temperature sensor acquires the temperature inside the chamber at regular intervals and compares it with the starting temperature; if the temperature inside the chamber is lower than the starting temperature, no action is taken.

[0076] In practice, the first time is set to 10 minutes. Since drying camellia seeds usually takes several hours, and during some constant temperature drying times, it is not necessary to frequently analyze the rotation speed and humidity, so the first time is set to 10 minutes.

[0077] Obtain the maximum and minimum speeds of the blower to get the speed range [minimum speed, maximum speed]; use a first number of speeds to divide the speed range into equal arithmetic progressions to get a second number of speeds, and label them as the first to the nth speed ranges in ascending order of speed;

[0078] In practical implementation, the second quantity is set to 8, which, including the two endpoints of the interval, yields a total of 10 speeds, corresponding to 10 speed settings. For example, if the maximum speed is 2000 RPM and the minimum speed is 1000 RPM, then the speeds corresponding to the 10 speed settings are 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, and 2000 RPM. By dividing the speeds into more detailed ranges, the fan speed can be accurately determined in practical applications, and the fan speed can be adjusted in a timely manner.

[0079] Calculate the average of the maximum and minimum rotation speeds and mark it as the test wind speed. When the temperature inside the chamber is equal to the starting temperature, adjust the blower and exhaust fan to run at the test wind speed. Use the first humidity sensor to obtain the humidity inside the chamber and mark it as the first humidity. Use the second humidity sensor inside the drying chamber to obtain the humidity inside the chamber and mark it as the second humidity.

[0080] Calculate the difference between the second humidity and the first humidity, and mark it as the humidity reference value;

[0081] It should be noted that the first humidity sensor is located on the left side of the drying chamber, relatively close to the blower. The blower blows the dehumidified air into the drying chamber. During the drying process of camellia seeds, moisture evaporates into the air, increasing the air humidity. The second humidity sensor is located on the right side of the drying chamber. The low-humidity air blown in by the blower mixes thoroughly with the high-humidity air in the drying chamber, so the air humidity at the second humidity sensor should be greater than the air humidity at the first humidity sensor. In special cases, when the drying is almost complete, almost no moisture evaporates from the camellia seeds, at which point the second humidity equals the first humidity. Therefore, the difference between the second humidity and the first humidity must be a non-negative number.

[0082] The data analysis module is also configured with a speed adjustment strategy, which includes:

[0083] The first and second humidity values ​​are acquired at the first time interval, and the difference between the second and first humidity values ​​is calculated and marked as the humidity analysis value.

[0084] Calculate the ratio of the humidity reference value to the humidity analysis value, and label it as the rotation speed reference ratio;

[0085] Obtain the current speed of the blower and categorize it down to the nearest speed range;

[0086] It should be noted that when calculating the humidity reference value, the fan speed is set to the average speed, which is not equal to the fan speed of the specified speed setting. Therefore, it needs to be categorized down to the nearest speed setting. When the fan speed is equal to any speed setting, it will still belong to the current speed setting after being categorized down.

[0087] Compare the speed reference ratio with the ratio reference range. If the speed reference ratio is within the reference range, output drying judgment information.

[0088] In practical implementation, the reference range is set to [0.8, 1.2]. When the speed reference ratio is greater than 1, the humidity analysis value is the denominator, indicating that the humidity analysis value is less than the humidity reference value, which in turn indicates that the fan speed is too fast, causing the low humidity air and high humidity air to mix more quickly and evenly. When the speed reference ratio is greater than the right end of the range 1.2, it is sufficient to prove that the fan speed is too high. At this time, the speed needs to be reduced. At the same time, it is necessary to determine whether the drying is about to be completed. If the drying is completed in advance, it is not necessary to continue the drying process according to the end drying time set in the parameter combination. Instead, a stop signal is sent directly to the drying execution module.

[0089] Similarly, when the speed reference ratio is less than 1, it means that the humidity analysis value is greater than the humidity reference value, which in turn means that the fan speed is too slow. When the speed reference ratio is less than 0.8 at the left end of the interval, it proves that the fan speed is too low. At this time, the speed needs to be increased by increasing the fan speed by one speed level.

[0090] If the speed reference ratio is less than the left end of the reference range, increase the current speed gear by one gear.

[0091] If the speed reference ratio is greater than the right end of the reference range, the current speed setting will be reduced by one level, and drying judgment information will be output.

[0092] The drying judgment module is used to analyze the humidity based on the drying judgment information and send a stop drying command based on the analysis results;

[0093] The drying judgment module is configured with a drying judgment strategy, which includes:

[0094] When a drying judgment information is received, the humidity inside the chamber is obtained using the second humidity sensor and marked as the judgment humidity.

[0095] The humidity is compared with the reference humidity. If the humidity is less than or equal to the reference humidity, a stop drying command is sent to the drying execution module to stop the drying process; the camellia seeds are then transferred to the storage area.

[0096] Optionally, in specific implementation, a conveyor belt or other automated transportation device can be connected to the discharge port of the drying device to automatically transfer the camellia seeds to the storage area, and the optimal storage conditions for the camellia seeds can be maintained by configuring a temperature and humidity control device in the storage area.

[0097] If the humidity is determined to be higher than the reference humidity, no action is taken.

[0098] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the technical solutions described above, or the parts that contribute to the prior art, can be embodied in the form of software products. These computer software products can be stored in computer-readable storage media, such as ROM / RAM, magnetic disks, optical disks, etc., and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0099] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An intelligent control system for an automatic camellia seed drying device, characterized in that, It includes a drying device, a human-machine interaction module, a drying execution module, a data analysis module, and a drying judgment module; the drying device is used to dry camellia seeds; the drying device is equipped with a drying chamber, and the drying chamber is equipped with a temperature sensor located in the middle of the drying chamber, a first humidity sensor located on the left side of the drying chamber, and a second humidity sensor located on the right side of the drying chamber. The human-computer interaction module is used to receive input drying parameters, perform calculations and analyses on the current time based on the drying parameters, and output drying instructions and parameter combinations based on the calculation and analysis results. The drying execution module is used to receive drying instructions and control the drying device to perform drying processing. Time is monitored based on parameter combinations, and the parameters of the drying device are adjusted based on the monitoring results; The data analysis module is used to acquire analytical parameters within the drying device, including humidity and fan speed; it divides the fan speed into multiple speed ranges; it calculates multiple humidity levels and outputs a speed reference ratio. The fan speed is adjusted based on the speed reference ratio, and drying judgment information is output. The drying judgment module is used to analyze the humidity based on the drying judgment information and send a stop drying command based on the analysis results; The data analysis module is configured with a speed analysis strategy, which includes: When drying begins, the temperature inside the chamber is measured at regular intervals using a temperature sensor, and the temperature inside the chamber is compared with the starting temperature. If the temperature inside the chamber is lower than the starting temperature, no action is taken. Obtain the maximum and minimum speeds of the blower to get the speed range [minimum speed, maximum speed]; use a first number of speeds to divide the speed range into equal arithmetic progressions to get a second number of speeds, and label them as the first to the nth speed ranges in ascending order of speed; Calculate the average of the maximum and minimum rotation speeds and mark it as the test wind speed. When the temperature inside the chamber is equal to the starting temperature, adjust the blower and exhaust fan to run at the test wind speed. Use the first humidity sensor to obtain the humidity inside the chamber and mark it as the first humidity. Use the second humidity sensor inside the drying chamber to obtain the humidity inside the chamber and mark it as the second humidity. Calculate the difference between the second humidity and the first humidity, and mark it as the humidity reference value; The data analysis module is also configured with a speed adjustment strategy, which includes: The first and second humidity values ​​are acquired at the first time interval, and the difference between the second and first humidity values ​​is calculated and marked as the humidity analysis value. Calculate the ratio of the humidity reference value to the humidity analysis value, and label it as the rotation speed reference ratio; Obtain the current speed of the blower and categorize it down to the nearest speed range; Compare the speed reference ratio with the ratio reference range. If the speed reference ratio is within the reference range, output drying judgment information. If the speed reference ratio is less than the left end of the reference range, increase the current speed gear by one gear. If the speed reference ratio is greater than the right end of the reference range, the current speed setting will be reduced by one level, and drying judgment information will be output.

2. The intelligent control system of the automatic camellia seed drying device according to claim 1, characterized in that, The drying device is equipped with a stirring control device and a humidity control device; The stirring control device is used to stir the camellia seeds in the drying chamber so that the camellia seeds can be tumbled and dried. The humidity control device is equipped with a blower, an exhaust fan heater, and a condenser; the blower is located on the left side of the drying chamber, and the exhaust fan is located on the right side of the drying chamber; The exhaust fan can draw out air from the drying chamber and deliver the drawn-out air to the condenser; The condenser is used to condense the air drawn out by the exhaust fan, reduce the humidity of the air drawn out, and deliver the condensed air to the heater. The heater is used to heat the condensed air and blow it into the drying chamber by the blower.

3. The intelligent control system of the automatic camellia seed drying device according to claim 2, characterized in that, The temperature sensor is used to detect the temperature inside the drying chamber; The first and second humidity sensors are used to detect the humidity inside the drying chamber.

4. The intelligent control system of the automatic camellia seed drying device according to claim 3, characterized in that, The human-computer interaction module is configured with a parameter setting strategy, which includes: Receive drying parameters input by the user, including reference humidity, drying time, and drying temperature at different time points within the drying time; mark the initial drying temperature as the start temperature; Get the current time, calculate the sum of the current time and each time point, and mark it as the control time; combine the control time with the drying temperature corresponding to the time point in the calculated control time to form a parameter combination, and obtain multiple parameter combinations; Send the drying command, start temperature, and parameter combination to the drying execution module.

5. The intelligent control system of the automatic camellia seed drying device according to claim 4, characterized in that, The drying execution module is configured with a drying execution strategy, which includes: Upon receiving the drying command, the heater's heating temperature is set to the starting temperature, the blower is controlled to blow air into the drying chamber at minimum speed, and the stirring control device is controlled to start stirring. The real-time time is monitored, and when the real-time time is equal to the control time in any parameter combination, the heating temperature of the heater is adjusted to the drying temperature in the parameter combination.

6. The intelligent control system of the automatic camellia seed drying device according to claim 5, characterized in that, The drying judgment module is configured with a drying judgment strategy, which includes: When a drying judgment information is received, the humidity inside the chamber is obtained using the second humidity sensor and marked as the judgment humidity. The humidity is compared with the reference humidity. If the humidity is less than or equal to the reference humidity, a stop drying command is sent to the drying execution module to stop the drying process; the camellia seeds are then transferred to the storage area. If the humidity is determined to be higher than the reference humidity, no action is taken.

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