Equipment for automatically monitoring quality parameters of agricultural products in drying process

Abstract

The invention relates to the technical field of agricultural product processing equipment, and discloses agricultural product quality parameter automatic monitoring equipment in the drying process, which comprises a drying cabin, a plurality of layers of drying chambers which are stacked up and down are arranged in the drying cabin, and drying beds are fixedly mounted at the bottoms of the drying chambers and used for placing to-be-dried agricultural products; an adjustable heating device and a ventilation system are arranged in the drying cabin; the color monitoring module is mounted at the top of the drying chamber, comprises a color camera and a specific optical filter, and is used for capturing reflection information of the agricultural products under light with different wavelengths and converting the reflection information into color parameter data; and the moisture monitoring modules are distributed around the drying chamber, adopt microwave moisture sensors and calculate the moisture content of the agricultural products by transmitting and receiving microwave signals. Through perfect cooperation of the high-resolution color camera and the microwave moisture sensor, the equipment can synchronously obtain color and moisture change data of agricultural products in the drying process in real time.

Description

Technical Field

[0001] The invention relates to the technical field of agricultural product processing equipment, in particular to an automatic monitoring device for agricultural product quality parameters during a drying process. Background Art

[0002] In the key processing link of drying agricultural products, color and moisture content are the core parameters that affect the final quality of agricultural products. The change in the color of agricultural products is not limited to changes in appearance, but often contains deep changes in internal chemical composition. For example, enzymatic browning reactions will deepen the color of agricultural products, seriously affecting their commodity value; while the Maillard reaction will affect the flavor and nutritional content of agricultural products while changing the color. On the other hand, the moisture content is directly related to the storage stability of agricultural products. Too much moisture can easily cause problems such as microbial growth and mildew, significantly shortening the shelf life of agricultural products; too little moisture will damage the taste and nutritional value of agricultural products and reduce consumer acceptance.

[0003] Looking at the current market, most existing drying equipment has relatively simple functions and can only monitor the moisture content of agricultural products separately, completely ignoring the simultaneous monitoring of the important parameter of color. Even if there are some devices that attempt to monitor multiple parameters, their monitoring methods generally have the disadvantages of high complexity and high cost investment. Moreover, in terms of accuracy and real-time performance, these devices are difficult to meet the strict requirements of the actual production process. For example, the monitoring data of some equipment has a large delay, which cannot provide an effective basis for the adjustment of the drying process in time; the monitoring accuracy of some equipment is insufficient, resulting in the inability to accurately control the quality changes of agricultural products. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an automatic monitoring device for quality parameters of agricultural products during a drying process, which solves the above-mentioned problems.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an automatic monitoring device for quality parameters of agricultural products during drying, comprising a drying cabin, wherein the drying cabin is provided with multi-layer drying chambers stacked up and down, a drying bed is fixedly installed at the bottom of the drying chamber for placing the agricultural products to be dried, and an adjustable heating device and a ventilation system are provided in the drying cabin;

[0006] A color monitoring module, installed on the top of the drying chamber, comprising a color camera and a specific optical filter, for capturing the reflection information of agricultural products under different wavelengths of light and converting it into color parameter data;

[0007] The moisture monitoring module is distributed around the drying chamber and uses a microwave moisture sensor to calculate the moisture content of agricultural products by transmitting and receiving microwave signals. The moisture monitoring module has a temperature compensation function to eliminate the influence of temperature changes during the drying process on the moisture measurement accuracy;

[0008] A data processing and control unit is connected to the color monitoring module and the moisture monitoring module, receives, analyzes and integrates the data transmitted by the two, and intelligently adjusts the power of the heating device and the wind speed of the ventilation system during the drying process according to the preset agricultural product quality parameter standards;

[0009] The display and alarm device uses a graphical interface to display the color change curve and moisture content change curve of agricultural products in real time, and sends out sound and light alarm signals when the color or moisture parameters exceed the preset range.

[0010] Preferably, the ventilation system includes an air inlet and an air exhaust outlet, the air inlet is opened on one side of the drying chamber, the heating device is arranged on the inner side of the air inlet, and the air exhaust outlet is opened on the other side of the drying chamber, corresponding to the air inlet, and an exhaust fan is embedded and installed at the air exhaust outlet.

[0011] Preferably, a caliber adjustment device is installed at the air inlet to adjust the ventilation caliber of the air inlet.

[0012] Preferably, the heating device adopts electromagnetic heating technology, and the exhaust fan adopts a variable frequency fan, and the heating power, wind speed and air volume are adjusted according to the requirements of the drying process.

[0013] Preferably, the color camera has automatic focus and exposure adjustment functions, and adjusts shooting parameters in real time according to the placement of the agricultural products and the changes in light during the drying process. The color camera obtains color parameter data including hue, saturation and brightness through a specific optical filter, using the RGB color model and spectral analysis technology, and the color monitoring module performs lossless compression and storage of the collected original image data for subsequent image analysis and quality tracing.

[0014] Preferably, the moisture monitoring module transmits microwave signals of a specific frequency to penetrate the agricultural products, and calculates the moisture content of the agricultural products through a built-in algorithm based on the signal strength and phase changes caused by the absorption and scattering of microwaves by moisture. At the same time, the moisture monitoring module is also used to compare and analyze the moisture data of different batches of agricultural products.

[0015] Preferably, the data processing and control unit has a built-in microprocessor and a special algorithm to perform real-time in-depth analysis and integration of color and moisture data, and automatically control the drying process based on preset quality parameter standards. The data processing and control unit also has a data backup function for regularly backing up key data in the drying process to an external storage device.

[0016] Preferably, the automatic monitoring device also includes a wireless communication module for transmitting the monitored agricultural product quality parameter data to a remote monitoring center in real time, and the remote monitoring center performs remote operation and parameter adjustment of the device via the Internet.

[0017] Preferably, a method for monitoring an automatic monitoring device for agricultural product quality parameters during a drying process comprises the following steps:

[0018] Step 1: Equipment installation and commissioning: connect and commission the heating device and ventilation system, calibrate the color monitoring module and microwave moisture sensor, connect and commission the communication between the color monitoring module and moisture monitoring module and the data processing and control unit, install and commission the display and alarm device, set the preset range of color and moisture parameters, and configure the wireless communication module to establish a connection with the remote monitoring center;

[0019] Step 2: Monitoring the drying of agricultural products. Spread the agricultural products to be dried flat on the drying bed in the drying chamber, start the equipment, and the color monitoring module and the moisture monitoring module collect data in real time and transmit them to the data processing and control unit; the data processing and control unit analyzes and processes the data and presents the color and moisture change curves on the display and alarm device. During the drying process, when the color or moisture parameters exceed the preset range, the display and alarm device alarms, and the data processing and control unit automatically adjusts the power of the heating device and the wind speed of the ventilation system. After drying is completed, the color and moisture change data report of the drying process is viewed through the display and alarm device. At the same time, the data processing and control unit uploads the drying data to the remote monitoring center for storage and analysis, and adjusts the corresponding drying parameters and algorithm models in the data processing and control unit according to the drying characteristics of different types of agricultural products to meet the drying monitoring needs of different agricultural products next time.

[0020] The present invention provides an automatic monitoring device for agricultural product quality parameters during the drying process.

[0021] Beneficial effects:

[0022] The present invention enables the device to obtain the color and moisture change data of agricultural products in the drying process in real time and synchronously through the perfect combination of high-resolution color camera and microwave moisture sensor. This high degree of real-time and accuracy provides a solid and powerful guarantee for the precise control of the drying process, and effectively avoids the drying quality problems caused by data lag or inaccuracy. At the same time, compared with the traditional way of patchwork combination of multiple monitoring devices, the device is highly integrated in design and has a relatively simple structure. This not only greatly reduces the purchase cost of the equipment, but also significantly reduces the difficulty of installation and maintenance. In addition, by accurately optimizing the drying process, it can effectively reduce the problem of agricultural product quality degradation caused by overdrying or insufficient drying, avoid resource waste, and thus comprehensively improve production efficiency. Through the intelligent algorithm carried by the data processing and control unit, the device is given the powerful ability to flexibly adjust the drying conditions according to the monitored quality parameters. This intelligent control feature greatly reduces the intensity of manual operation, ensures the stability and consistency of the production process, and lays a solid foundation for the large-scale and standardized production of agricultural product drying and processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a front perspective view of an automatic monitoring device for agricultural product quality parameters during a drying process according to the present invention;

[0024] Figure 2 A rear perspective view of an automatic monitoring device for agricultural product quality parameters during the drying process;

[0025] Figure 3 It is a schematic diagram of the internal structure of the drying cabin in the present invention from the front view;

[0026] Figure 4 It is a schematic diagram of the internal structure of the drying cabin in the present invention from a top view;

[0027] Figure 5 The present invention is a schematic diagram of the system structure of an automatic monitoring device for quality parameters of agricultural products during the drying process.

[0028] Among them, 1. Drying cabin; 2. Drying chamber; 3. Drying bed; 4. Heating device; 5. Color monitoring module; 6. Moisture monitoring module; 7. Air inlet; 8. Air outlet; 9. Exhaust fan; 10. Caliber adjustment device. DETAILED DESCRIPTION

[0029] 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.

[0030] Please see attached Figure 1 -Attached Figure 5 The embodiment of the present invention provides an automatic monitoring device for agricultural product quality parameters during a drying process, comprising a drying cabin 1, wherein the drying cabin 1 is provided with a plurality of drying chambers 2 stacked up and down, a drying bed 3 is fixedly installed at the bottom of the drying chamber 2 for placing the agricultural products to be dried, and an adjustable heating device 4 and a ventilation system are provided in the drying cabin 1;

[0031] The drying bed 3 is made of food-grade stainless steel, which has good corrosion resistance and thermal conductivity, ensuring that the agricultural products will not be contaminated during long-term use, and can effectively transfer heat to achieve uniform drying;

[0032] The color monitoring module 5 is installed on the top of the drying chamber 2 and includes a color camera and a specific optical filter for capturing the reflection information of agricultural products under different wavelengths of light and converting it into color parameter data;

[0033] The color camera has automatic focus and exposure adjustment functions. It adjusts the shooting parameters in real time according to the placement of the agricultural products and the light changes during the drying process. The color camera uses a specific optical filter, RGB color model and spectral analysis technology to obtain color parameter data including hue, saturation and brightness to ensure that the collected images are clear and accurate. The color monitoring module 5 stores the collected original image data in lossless compression for subsequent image analysis and quality traceability.

[0034] The moisture monitoring module 6 is distributed around the drying chamber 2 and uses a microwave moisture sensor to calculate the moisture content of the agricultural product by transmitting and receiving microwave signals. The moisture monitoring module 6 has a temperature compensation function to eliminate the influence of temperature changes on the moisture measurement accuracy during the drying process and ensure the accuracy of moisture content calculation;

[0035] The moisture monitoring module 6 transmits microwave signals of a specific frequency to penetrate agricultural products. Based on the signal strength and phase changes caused by the absorption and scattering of microwaves by moisture, the moisture content of agricultural products is calculated through a built-in algorithm. At the same time, the moisture monitoring module 6 is also used to compare and analyze the moisture data of different batches of agricultural products.

[0036] The data processing and control unit is connected to the color monitoring module 5 and the moisture monitoring module 6, receives, analyzes and integrates the data transmitted by the two, and intelligently adjusts the power of the heating device 4 and the wind speed of the ventilation system during the drying process according to the preset agricultural product quality parameter standards. The built-in algorithm of the data processing and control unit can learn and adaptively adjust the drying characteristics of different types of agricultural products, and optimize the drying strategy according to historical drying data and real-time monitoring data;

[0037] The data processing and control unit has a built-in microprocessor and special algorithms to conduct real-time in-depth analysis and integration of color and moisture data, and automatically control the drying process based on preset quality parameter standards. The data processing and control unit also has a data backup function, which is used to regularly back up key data in the drying process to an external storage device;

[0038] Color monitoring module algorithm:

[0039] 1. Image color space conversion: using the RGB color model, the original image data collected by the camera is converted from other color spaces (such as YUV) to RGB color space to facilitate subsequent color parameter calculations. This process is based on the color space conversion formula. For example, the conversion formula from YUV to RGB is:

[0040]

[0041] 2. Color feature extraction and matching: Spectral analysis technology is used to analyze the reflection information under different wavelengths of light. A histogram-based color feature extraction method can be used to statistically analyze the distribution of different colors in the image and calculate color parameters such as hue, saturation, and brightness. At the same time, in order to accurately monitor the color changes in different drying stages, a template matching algorithm may be used to compare the color features of the currently collected image with the preset color templates of different drying stages to determine the drying state of the agricultural products.

[0042] Moisture monitoring module algorithm:

[0043] 1. Microwave signal processing: For microwave signals emitted and received by microwave moisture sensors, filtering is first performed to remove noise interference. Fast Fourier transform (FFT) can be used to convert time domain signals into frequency domain signals, analyze the energy distribution of signals at different frequencies, and extract characteristic information related to moisture content. For example, by analyzing the attenuation characteristics and phase changes of the signal, the interaction relationship between microwave signals and moisture in agricultural products can be determined.

[0044] 2. Calculate moisture content. Based on the absorption and scattering characteristics of moisture to microwaves, establish an empirical formula or a machine learning-based model to calculate moisture content. A common empirical formula is based on microwave transmission theory. It measures the attenuation and phase change of microwave signals and combines parameters such as the dielectric constant of agricultural products to calculate moisture content. For example, the formula:

[0045]

[0046] Where M is the moisture content, ΔA is the signal attenuation, A0 is the initial signal intensity, is the phase change, and a, b, c are coefficients determined by experiments.

[0047] Data processing and control unit algorithm:

[0048] 1. Data fusion algorithm: In order to effectively integrate the data transmitted by the color monitoring module and the moisture monitoring module, a data fusion algorithm is used. The Kalman filter algorithm can be used to perform weighted fusion on the data of different sensors to obtain a more accurate estimate of the quality parameters of agricultural products. The Kalman filter continuously optimizes the estimation of the system state through two steps: prediction and update. Its core formula includes the prediction equation and the update equation:

[0049] Prediction equation:

[0050]

[0051] Update equation:

[0052]

[0053] in, is the state estimation value, P is the estimation error covariance, A is the state transfer matrix, B is the control matrix, u is the control quantity, Q is the process noise covariance, H is the observation matrix, R is the observation noise covariance, K is the Kalman gain, and Z is the observation value.

[0054] 2. Drying strategy optimization algorithm: According to the preset agricultural product quality parameter standards and real-time monitoring data, the optimization algorithm is used to adjust the heating device power and ventilation system wind speed during the drying process. For example, a genetic algorithm is used, with heating power and ventilation wind speed as genes, and the final quality of agricultural products (such as the degree to which color and moisture content meet the standards) as the fitness function. Through operations such as selection, crossover and mutation, the optimal combination of drying parameters is continuously iterated to achieve an efficient and high-quality drying process.

[0055] 3. Adaptive control algorithm: In order to adapt the equipment to the drying characteristics of different types of agricultural products, the data processing and control unit may adopt an adaptive control algorithm. By learning from historical drying data, an agricultural product drying model is established, and the model parameters are continuously adjusted according to real-time monitoring data. For example, an adaptive neural fuzzy inference system (ANFIS) is used, combining the learning ability of neural networks and the reasoning ability of fuzzy logic. According to the input initial state of agricultural products (such as initial moisture content, color characteristics) and real-time monitoring data, the drying strategy is adaptively adjusted to achieve precise control of the drying process of different agricultural products.

[0056] The display and alarm device uses a graphical interface to display the color change curve and moisture content change curve of agricultural products in real time. When the color or moisture parameters exceed the preset range, an audible and visual alarm signal is issued. The display and alarm device also has a touch operation function. The operator can easily view historical data, adjust preset parameters and control the operating status of the equipment through the touch screen;

[0057] The display and alarm device also has a touch operation function, and the operator can easily view historical data, adjust preset parameters and control the operating status of the equipment through the touch screen.

[0058] The automatic monitoring equipment also includes a wireless communication module for transmitting the monitored agricultural product quality parameter data to a remote monitoring center in real time. The remote monitoring center remotely operates the equipment and adjusts parameters through the Internet.

[0059] Through the perfect combination of high-resolution color camera and microwave moisture sensor, the equipment can obtain the color and moisture change data of agricultural products in the drying process in real time and synchronously. This high degree of real-time and accuracy provides a solid and powerful guarantee for the precise control of the drying process, and effectively avoids the drying quality problems caused by data lag or inaccuracy. At the same time, compared with the traditional combination of multiple monitoring equipment, this equipment is highly integrated in design and has a relatively simple structure. This not only greatly reduces the purchase cost of the equipment, but also significantly reduces the difficulty of installation and maintenance. In addition, by accurately optimizing the drying process, it can effectively reduce the problem of agricultural product quality degradation caused by overdrying or insufficient drying, avoid resource waste, and thus comprehensively improve production efficiency. Through the intelligent algorithm carried by the data processing and control unit, the equipment is given the powerful ability to flexibly adjust the drying conditions according to the monitored quality parameters. This intelligent control feature greatly reduces the intensity of manual operation, ensures the stability and consistency of the production process, and lays a solid foundation for the large-scale and standardized production of agricultural product drying and processing.

[0060] The ventilation system includes an air inlet 7 and an air outlet 8. The air inlet 7 is opened on one side of the drying chamber 1. The heating device 4 is arranged inside the air inlet 7. The air outlet 8 is opened on the other side of the drying chamber 1, corresponding to the air inlet 7, and an exhaust fan 9 is embedded and installed at the exhaust port 8. A caliber adjustment device 10 is installed at the air inlet 7 to adjust the ventilation caliber of the air inlet 7. The heating device 4 adopts electromagnetic heating technology, and the exhaust fan 9 adopts a variable frequency fan to adjust the heating power, wind speed and air volume according to the drying process requirements.

[0061] The exhaust fan 9 is running to extract the air in the drying chamber 1, thereby forming a negative pressure, so that the outside air enters the drying chamber 1 through the air inlet 7, and is heated to a preset temperature after passing through the heating device 4. According to the drying process parameters, the ventilation diameter of the air inlet 7 can be adjusted by the diameter adjustment device 10, and the air flow rate and flow rate can be adjusted in combination with the adjustment of the power of the exhaust fan 9.

[0062] A method for automatically monitoring agricultural product quality parameters during a drying process, comprising the following steps:

[0063] Step 1: Equipment installation and commissioning: connect and commission the heating device 4 and the ventilation system, calibrate the color monitoring module 5 and the microwave moisture sensor, connect and commission the communication between the color monitoring module 5 and the moisture monitoring module 6 and the data processing and control unit, install and commission the display and alarm device, set the preset range of the color and moisture parameters, and configure the wireless communication module to establish a connection with the remote monitoring center;

[0064] Step 2: Monitoring the drying of agricultural products. Spread the agricultural products to be dried flat on the drying bed 3 in the drying chamber 2, start the equipment, and the color monitoring module 5 and the moisture monitoring module 6 collect data in real time and transmit them to the data processing and control unit; the data processing and control unit analyzes and processes the data and presents the color and moisture change curves on the display and alarm device. During the drying process, when the color or moisture parameters exceed the preset range, the display and alarm device alarms, and the data processing and control unit automatically adjusts the power of the heating device 4 and the wind speed of the ventilation system. After drying is completed, the color and moisture change data report during the drying process is viewed through the display and alarm device. At the same time, the data processing and control unit uploads the drying data to the remote monitoring center for storage and analysis, and adjusts the corresponding drying parameters and algorithm models in the data processing and control unit according to the drying characteristics of different types of agricultural products to meet the drying monitoring needs of different agricultural products next time.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic monitoring device for agricultural product quality parameters during drying process, characterized in that: include: A drying cabin (1), wherein the drying cabin (1) is provided with a plurality of drying chambers (2) stacked one above the other, a drying bed (3) is fixedly installed at the bottom of the drying chamber (2) for placing agricultural products to be dried, and an adjustable heating device (4) and a ventilation system are provided in the drying cabin (1); A color monitoring module (5), installed on the top of the drying chamber (2), comprising a color camera and a specific optical filter, for capturing the reflection information of agricultural products under light of different wavelengths and converting it into color parameter data; The moisture monitoring module (6) is distributed around the drying chamber (2) and uses a microwave moisture sensor to calculate the moisture content of the agricultural product by transmitting and receiving microwave signals. The moisture monitoring module (6) has a temperature compensation function to eliminate the influence of temperature changes during the drying process on the moisture measurement accuracy; A data processing and control unit is connected to the color monitoring module (5) and the moisture monitoring module (6), receives, analyzes and integrates the data transmitted by the two, and intelligently adjusts the power of the heating device (4) and the wind speed of the ventilation system during the drying process according to the preset agricultural product quality parameter standards; The display and alarm device uses a graphical interface to display the color change curve and moisture content change curve of agricultural products in real time, and sends out sound and light alarm signals when the color or moisture parameters exceed the preset range.

2. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 1 is characterized in that: The ventilation system comprises an air inlet (7) and an air outlet (8), wherein the air inlet (7) is provided on one side of the drying chamber (1), the heating device (4) is arranged inside the air inlet (7), and the air outlet (8) is provided on the other side of the drying chamber (1) and corresponds to the air inlet (7), and an exhaust fan (9) is embedded and installed at the air outlet (8).

3. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 2 is characterized in that: The air inlet (7) is provided with a caliber adjustment device (10) for adjusting the ventilation caliber of the air inlet (7).

4. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 2 is characterized in that: The heating device (4) adopts electromagnetic heating technology, and the exhaust fan (9) adopts a variable frequency fan, and the heating power, wind speed and air volume are adjusted according to the requirements of the drying process.

5. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 1 is characterized in that: The color camera has automatic focus and exposure adjustment functions, and adjusts shooting parameters in real time according to the placement position of the agricultural products and the light changes during the drying process. The color camera obtains color parameter data including hue, saturation and brightness through a specific optical filter, using the RGB color model and spectrum analysis technology, and the color monitoring module (5) performs lossless compression storage on the collected original image data for subsequent image analysis and quality tracing.

6. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 1 is characterized in that: The moisture monitoring module (6) emits a microwave signal of a specific frequency to penetrate the agricultural products, and calculates the moisture content of the agricultural products through a built-in algorithm based on the signal strength and phase changes caused by the absorption and scattering of microwaves by moisture. At the same time, the moisture monitoring module (6) is also used to compare and analyze the moisture data of different batches of agricultural products.

7. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 1, characterized in that: The data processing and control unit has a built-in microprocessor and special algorithms to perform real-time in-depth analysis and integration of color and moisture data, and automatically control the drying process based on preset quality parameter standards. The data processing and control unit also has a data backup function for regularly backing up key data in the drying process to an external storage device.

8. The automatic monitoring device for agricultural product quality parameters during drying process according to claim 1, characterized in that: The automatic monitoring device also includes a wireless communication module for transmitting the monitored agricultural product quality parameter data to a remote monitoring center in real time. The remote monitoring center performs remote operation and parameter adjustment of the device via the Internet.

9. The method for automatically monitoring the quality parameters of agricultural products during drying according to any one of claims 1 to 8, characterized in that: The following steps are involved: Step 1: Equipment installation and commissioning: connecting and commissioning the heating device (4) and the ventilation system, calibrating the color monitoring module (5) and the microwave moisture sensor, connecting and commissioning the communication between the color monitoring module (5) and the moisture monitoring module (6) and the data processing and control unit, installing and commissioning the display and alarm device, setting the preset range of the color and moisture parameters, and configuring the wireless communication module to establish a connection with the remote monitoring center; Step 2, monitoring the drying of agricultural products. The agricultural products to be dried are spread flat on a drying bed (3) in a drying chamber (2), and the equipment is started. The color monitoring module (5) and the moisture monitoring module (6) collect data in real time and transmit the data to the data processing and control unit; the data processing and control unit analyzes and processes the data and displays the color and moisture change curves on the display and alarm device. During the drying process, when the color or moisture parameters exceed the preset range, the display and alarm device alarms, and the data processing and control unit automatically adjusts the power of the heating device (4) and the wind speed of the ventilation system. After the drying is completed, the color and moisture change data report during the drying process is viewed through the display and alarm device. At the same time, the data processing and control unit uploads the drying data to the remote monitoring center for storage and analysis, and adjusts the corresponding drying parameters and algorithm models in the data processing and control unit according to the drying characteristics of different types of agricultural products to meet the drying monitoring needs of different agricultural products next time.

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