Intelligent control system of automatic camellia seed drying device

Abstract

The invention discloses an intelligent control system of an automatic camellia seed drying device, which relates to the technical field of agricultural product processing and 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 input drying parameters and outputting a drying instruction and a parameter combination; the drying execution module is used for receiving the drying instruction and adjusting parameters of the drying device; the drying judgment module is used for analyzing the humidity based on the drying judgment information and sending a drying stopping instruction; the method is used for solving the problems that in the prior art, due to the fact that real-time monitoring on the humidity in a device and the rotating speed of a draught fan in the drying process is lacked, the rotating speed of the draught fan cannot be adjusted in time based on the humidity in the device, and the drying efficiency is low, the quality is poor or drying energy consumption is too large.

Description

Technical Field

[0001] The invention relates to the technical field of agricultural product processing, and in particular to an intelligent control system for an automatic camellia seed drying device. Background Art

[0002] Camellia seeds, also known as oil tea seeds, are the fruits of the oil tea tree. They are rich in oil and various nutrients and are high-quality edible oil and chemical raw materials. If the moisture content of the harvested camellia seeds is too high, the seed shell will be soft and difficult to break, and the plasticity will be large, so it is easy to lose material when pressed. Therefore, it is necessary to dry the oil tea seeds with too high moisture content so that the moisture content does not exceed 13% in order to shell and roll the embryo. Tea seed drying is very important in the oil pressing process, and the quality of tea seed drying has a direct impact on the oil yield.

[0003] Existing camellia seed drying methods mostly use sun drying or simple hot air drying, which has the problems of long time consumption, low efficiency, uneven drying effect, etc., and easily lead to loss of nutrients and quality degradation of camellia seeds; for example, in the patent application with publication number CN111912183A, a low-temperature constant temperature drying device for camellia seeds and a method of using the same are disclosed. The scheme increases the contact area between camellia seeds and air and improves the drying effect by setting a tea seed placement device, an air intake filter device, a gas treatment device and a gas circulation device, thereby avoiding some problems in common drying methods. However, the humidity and fan speed in the drying device are not monitored during the drying process. In actual applications, too low a fan speed will cause the humidity in the device to remain high, resulting in a low drying rate and poor quality of the dried product, while too high a speed will lead to a waste of resources. In view of this, it is necessary to improve the existing drying device control method. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems in the prior art to a certain extent. By improving the control method of the drying device, it is used to solve the problem in the prior art that the fan speed cannot be adjusted in time based on the humidity in the device due to the lack of real-time monitoring of the humidity in the device and the fan speed during the drying process, resulting in low drying efficiency, poor quality or excessive drying energy consumption.

[0005] To achieve the above-mentioned purpose, in a first aspect, the present application provides an intelligent control system for an automatic camellia seed drying device, comprising a drying device, a human-computer 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, calculate and analyze the current time based on the drying parameters, and output a drying instruction and a parameter combination based on the calculation and analysis results;

[0007] The drying execution module is used to receive a drying instruction and control the drying device to perform a drying process; monitor the time based on the parameter combination and adjust the parameters of the drying device based on the monitoring result;

[0008] The data analysis module is used to obtain analysis parameters in the drying device, the analysis parameters including humidity and fan speed; divide the fan speed to obtain multiple speed levels; calculate multiple humidity levels and output a speed reference ratio; adjust the fan speed level 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 instruction based on the analysis result.

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

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

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

[0013] The exhaust fan can suck out the air in the drying chamber and transport the sucked air to the condenser;

[0014] The condenser is used to condense the air sucked out by the exhaust fan, reduce the humidity of the sucked out air, and transport the condensed air to the heater;

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

[0016] Furthermore, the drying chamber is provided 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 in the drying bin;

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

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

[0020] receiving drying parameters input by a user, the drying parameters including reference humidity, drying time, and drying temperatures corresponding to different time points within the drying time; marking the initial drying temperature as the starting 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 and the drying temperature corresponding to the time point in the calculated control time into a parameter combination to obtain multiple parameter combinations;

[0022] Send drying instructions, starting temperature and parameter combination to the drying execution module.

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

[0024] When the drying instruction is received, the heating temperature of the heater is set as the starting temperature, the blower is controlled to blow air into the drying chamber at the minimum speed; the stirring control device is controlled to start stirring;

[0025] The real time is monitored, and when the real 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 starts, the temperature sensor is used to obtain the temperature in the bin at the first interval, and the temperature in the bin is compared with the starting temperature. If the temperature in the bin is lower than the starting temperature, no processing is performed.

[0028] The maximum speed and the minimum speed of the blower are obtained to obtain a speed interval [minimum speed, maximum speed]; the speed interval is divided into arithmetic progressions using the first number of speeds to obtain a second number of speeds, which are marked as first to nth speed gears in ascending order of speed;

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

[0030] The difference between the second humidity and the first humidity is calculated and marked as a humidity reference value.

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

[0032] Obtaining the first humidity and the second humidity once at a first time interval, calculating the difference between the second humidity and the first humidity, and marking it as a humidity analysis value;

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

[0034] Get the current speed of the blower and classify the current speed down to the nearest speed gear;

[0035] Compare the relationship between the speed reference ratio and the ratio reference interval, and if the speed reference ratio is within the reference interval, output drying judgment information;

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

[0037] If the speed reference ratio is greater than the right end point of the reference interval, the current speed gear is reduced by one gear and the drying judgment information is output.

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

[0039] When the drying judgment information is received, the humidity in the bin is obtained by using the second humidity sensor and marked as judgment humidity;

[0040] Compare and judge the humidity with the reference humidity. If the humidity is less than or equal to the reference humidity, send a stop drying instruction to the drying execution module to stop the drying process; transfer the camellia seeds to the storage area;

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

[0042] Beneficial effects of the present invention: The present invention obtains the drying parameters input by the user, calculates and combines the drying parameters, and can obtain multiple parameter combinations, wherein the parameter combinations include time and temperature; the parameters of the drying device are controlled based on the parameter combinations, and the drying process can be automated;

[0043] The present invention also divides the fan speed of the drying device to obtain a plurality of speed gears, monitors the humidity in the device, calculates and analyzes the monitoring results, adjusts the fan speed based on the calculation and analysis results, and determines whether the drying is completed, and automatically stops the drying process when it is determined that the drying is completed; the advantage of this is that by dividing the fan speed into a plurality of speed gears, and then adjusting the fan speed gear based on the humidity in the humidity device, precise adjustment of the humidity and wind speed is achieved, thereby ensuring the uniformity and efficiency of the drying process, and avoiding the problems of long time and uneven effect in traditional methods; secondly, the automatic adjustment function significantly improves the drying efficiency and product quality, reduces the loss of nutrients, and thus improves the overall production efficiency and market competitiveness of camellia seeds. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a functional block diagram of the system of the present invention;

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

[0046] Figure 3 This is a reference schematic diagram of the internal structure of the drying device of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work 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 the first aspect, the present application provides an intelligent control system for an automatic camellia seed drying device, including a drying device, a human-computer interaction module, a drying execution module, a data analysis module, and a drying judgment module;

[0049] The drying device is used for drying camellia seeds;

[0050] See also 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 air extractor, T5 is the condenser, T6 is the blower, T7 is the stirring control device, the stirring device performs stirring through the gear structure, and T8 is the heater;

[0051] The drying device is equipped with a drying bin, a stirring control device and a humidity regulating 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] The temperature sensor is used to detect the temperature in the drying chamber;

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

[0055] The stirring control device is used to stir the camellia seeds in the drying bin so that the camellia seeds can be tumbled 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 suck out the air in the drying chamber and transport the sucked air to the condenser;

[0058] The condenser is used to condense the air sucked out by the exhaust fan, reduce the humidity of the sucked out air, and transport the condensed air to the heater;

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

[0060] The human-computer interaction module is used to receive the input drying parameters, calculate and analyze the current time based on the drying parameters, and output the 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, the drying parameters including reference humidity, drying time, and drying temperatures corresponding to different time points within the drying time; mark the initial drying temperature as the starting temperature;

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

[0064] The drying time indicates the total drying time from the start to the completion of drying. There are multiple stages in the drying process of camellia seeds, and each stage requires a different drying temperature. For example, the drying temperature is set to 55°C at the beginning of drying. After drying for 1 hour, the drying temperature needs to be adjusted to 60°C. After drying for 2 hours, the drying temperature needs to be adjusted to 63°C. There are three time points in total. Then get the current time. If the current time is 12:00, get the other two control times 13:00 and 14:00 except the start drying time point. Then combine the time point with the drying temperature to get two parameter combinations [13:00, 60°C], [14:00, 63°C].

[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 and the drying temperature corresponding to the time point in the calculated control time into a parameter combination to obtain multiple parameter combinations;

[0066] Send drying instructions, starting temperature and parameter combination to the drying execution module.

[0067] The drying execution module is used to receive drying instructions and control the drying device to perform drying processing; monitor the time based on the parameter combination, 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] When the drying instruction is received, the heating temperature of the heater is set as the starting temperature, the blower is controlled to blow air into the drying chamber at the minimum speed; the stirring control device is controlled to start stirring;

[0070] It should be noted that the camellia seeds are dried by the stirring method, which can make the camellia seeds heated more evenly during the drying process, thereby improving the quality of the dried products; the purpose of blowing with the minimum power of the blower is to increase the heat exchange time between the high-temperature blowing air and the air in the bin, and reduce the energy consumption required for heating 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 the specific implementation, taking the start time as 12:00 and the parameter combination as [13:00, 60°C], [14:00, 63°C] 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 to be 13:00, the heating temperature of the heater is adjusted to 60°C; when the current time is monitored to be 14:00, the heating temperature of the heater is adjusted to 63°C.

[0073] The data analysis module is used to obtain analysis parameters in the drying device, including humidity and fan speed; divide the fan speed to obtain multiple speed levels; calculate multiple humidity levels and output a speed reference ratio; adjust the fan speed level based on the speed reference ratio and output drying judgment information;

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

[0075] When drying starts, the temperature sensor is used to obtain the temperature in the bin at the first interval, and the temperature in the bin is compared with the starting temperature. If the temperature in the bin is lower than the starting temperature, no processing is performed.

[0076] In the specific implementation, the first time is set to 10 minutes. Since the drying of camellia seeds usually takes several hours, and during some constant temperature drying time, the rotation speed and humidity do not need to be analyzed frequently, the first time is set to 10 minutes;

[0077] The maximum speed and the minimum speed of the blower are obtained to obtain a speed interval [minimum speed, maximum speed]; the speed interval is divided into arithmetic progressions using the first number of speeds to obtain a second number of speeds, which are marked as first to nth speed gears in ascending order of speed;

[0078] In a specific implementation, the second number is set to 8, and a total of 10 rotational speeds can be obtained by counting the two endpoints of the interval, corresponding to 10 rotational speed gears; for example, the maximum rotational speed is 2000 revolutions per second, and the minimum rotational speed is 1000 revolutions per second, then the rotational speeds corresponding to the 10 rotational speed gears are 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, and 2000 respectively; by dividing the rotational speed more finely, the fan rotational speed can be accurately judged in actual applications, and the fan rotational speed can be adjusted in time;

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

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

[0081] It should be noted that since the first humidity sensor is located on the left side of the drying chamber, it is closer to the blower, and the blower blows the condensed and dehumidified air into the drying chamber; and when the camellia seeds are dried, the moisture will evaporate into the air, which increases the air humidity; the second humidity sensor is located on the right side of the drying chamber, and the low-humidity air blown in by the blower is fully mixed with the high-humidity air in the drying chamber, so that the air humidity at the second humidity sensor should be greater than the air humidity at the first sensor; in special cases, when the drying is almost completed, almost no moisture can be evaporated in the camellia seeds, and at this time the second humidity is equal to the first humidity; it can be seen that the difference between the second humidity and the first humidity must be a non-negative number;

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

[0083] Obtaining the first humidity and the second humidity once at a first time interval, calculating the difference between the second humidity and the first humidity, and marking it as a humidity analysis value;

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

[0085] Get the current speed of the blower and classify the current speed down to the nearest speed gear;

[0086] It should be noted that, when calculating the humidity reference value, the speed is set to the average speed, which is not equal to the wind speed of the speed gear, so it needs to be classified downward to the nearest speed gear; when the fan speed is equal to any speed gear, it still belongs to the current speed gear after downward classification;

[0087] Compare the relationship between the speed reference ratio and the ratio reference interval, and if the speed reference ratio is within the reference interval, output drying judgment information;

[0088] In the specific implementation, the reference interval 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 further indicates that the fan speed is too fast, resulting in a faster and more uniform mixing of low-humidity air and high-humidity air; and when the speed reference ratio is greater than the right end point of the interval 1.2, it is sufficient to prove that the fan speed is too high. At this time, the speed needs to be reduced, and it is also 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, and a stop signal is directly sent 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 means that the fan speed is too slow. When the speed reference ratio is less than 0.8, the left end point of the interval, it proves that the fan speed is too low. At this time, the speed needs to be increased by one speed level.

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

[0091] If the speed reference ratio is greater than the right end point of the reference interval, the current speed gear is reduced by one gear and the drying judgment information is output.

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

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

[0094] When the drying judgment information is received, the humidity in the bin is obtained by using the second humidity sensor and marked as judgment humidity;

[0095] Compare and judge the humidity with the reference humidity. If the humidity is less than or equal to the reference humidity, send a stop drying instruction to the drying execution module to stop the drying process; transfer the camellia seeds to the storage area;

[0096] Optionally, in a specific implementation, a conveyor belt or other automated transport device may be connected to the discharge port of the drying device to automatically transport the camellia seeds to the storage area, and a temperature and humidity regulating device may be configured in the storage area to maintain the optimal storage conditions for the camellia seeds;

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

[0098] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0099] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can 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 the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An intelligent control system for an automatic camellia seed drying device, characterized in that: It includes a drying device, a human-computer 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 human-computer interaction module is used to receive input drying parameters, calculate and analyze the current time based on the drying parameters, and output a drying instruction and a parameter combination based on the calculation and analysis results; The drying execution module is used to receive a drying instruction and control the drying device to perform a drying process; Monitor the time based on the parameter combination, and adjust the parameters of the drying device based on the monitoring results; The data analysis module is used to obtain analysis parameters in the drying device, the analysis parameters including humidity and fan speed; divide the fan speed to obtain multiple speed levels; calculate multiple humidity levels and output a speed reference ratio; The speed level of 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 instruction based on the analysis result.

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

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

4. The intelligent control system of the camellia seed automatic drying device according to claim 3, characterized in that: The human-computer interaction module is configured with a parameter setting strategy, which includes: receiving drying parameters input by a user, the drying parameters including reference humidity, drying time, and drying temperatures corresponding to different time points within the drying time; marking the initial drying temperature as the starting 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 and the drying temperature corresponding to the time point in the calculated control time into a parameter combination to obtain multiple parameter combinations; Send drying instructions, starting temperature and parameter combination to the drying execution module.

5. The intelligent control system of the camellia seed automatic drying device according to claim 4, characterized in that: The drying execution module is configured with a drying execution strategy, and the drying execution strategy includes: When the drying instruction is received, the heating temperature of the heater is set as the starting temperature, the blower is controlled to blow air into the drying chamber at the minimum speed; 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 camellia seed automatic drying device according to claim 5, characterized in that: The data analysis module is configured with a speed analysis strategy, which includes: When drying starts, the temperature sensor is used to obtain the temperature in the bin at the first interval, and the temperature in the bin is compared with the starting temperature. If the temperature in the bin is lower than the starting temperature, no processing is performed. The maximum speed and the minimum speed of the blower are obtained to obtain a speed interval [minimum speed, maximum speed]; the speed interval is divided into arithmetic progressions using the first number of speeds to obtain a second number of speeds, which are marked as first to nth speed gears in ascending order of speed; Calculate the average of the maximum speed and the minimum speed, and mark it as the test wind speed. When the temperature in the warehouse is equal to the starting temperature, adjust the blower and the exhaust fan to run at the test wind speed. Use the first humidity sensor to obtain the humidity in the warehouse, and mark it as the first humidity. Use the second humidity sensor in the drying warehouse to obtain the humidity in the warehouse, and mark it as the second humidity. The difference between the second humidity and the first humidity is calculated and marked as a humidity reference value.

7. The intelligent control system of the camellia seed automatic drying device according to claim 6, characterized in that: The data analysis module is also equipped with a speed adjustment strategy, which includes: Obtaining the first humidity and the second humidity once at a first time interval, calculating the difference between the second humidity and the first humidity, and marking it as a humidity analysis value; Calculate the ratio of the humidity reference value to the humidity analysis value, and mark it as the speed reference ratio; Get the current speed of the blower and classify the current speed down to the nearest speed gear; Compare the relationship between the speed reference ratio and the ratio reference interval, and if the speed reference ratio is within the reference interval, output drying judgment information; If the speed reference ratio is less than the left end point of the reference interval, increase the current speed gear by one gear; If the speed reference ratio is greater than the right end point of the reference interval, the current speed gear is reduced by one gear and the drying judgment information is output.

8. The intelligent control system of the camellia seed automatic drying device according to claim 7, characterized in that: The drying judgment module is configured with a drying judgment strategy, which includes: When the drying judgment information is received, the humidity in the bin is obtained by using the second humidity sensor and marked as judgment humidity; Compare and judge the humidity with the reference humidity. If the humidity is less than or equal to the reference humidity, send a stop drying instruction to the drying execution module to stop the drying process; transfer the camellia seeds to the storage area; If the humidity is judged to be greater than the reference humidity, no action is taken.

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