Intelligent data acquisition and analysis method for agricultural product quality safety supervision software

Abstract

The invention relates to the technical field of data processing, in particular to an intelligent data acquisition and analysis method for agricultural product quality safety supervision software, which comprises the following steps: step 1, data acquisition and model establishment; step 2, pesticide residue judgment; and step 3, data analysis and abnormity early warning. According to the invention, sampling selection is carried out through a sampling assembly in the preprocessing device, so that the randomness and representativeness of sampling can be ensured; by adding the cleaning assembly, the pretreatment standard of the agricultural products is unified, it is ensured that the agricultural products can be effectively cleaned under the same standard, errors caused by impurities on the surfaces of the agricultural products are reduced, and therefore the accuracy of the final result is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method for intelligent data collection and analysis of agricultural product quality and safety supervision software. Background Art

[0002] Agriculture, at the top of the three major industries, is the foundation of national economic development. Agricultural products, as the final product and ultimate goal of agricultural production, are a growing concern with the scale and marketization of agricultural production. To ensure the quality and safety of agricultural products, regulatory authorities need to employ advanced technologies for comprehensive monitoring and management of agricultural products. Agricultural product quality and safety monitoring software has emerged as a result. Leveraging modern information technology, it enables comprehensive management of agricultural products. Intelligent data collection and analysis, one of the software's core technologies, plays a crucial role in improving regulatory efficiency and accuracy.

[0003] The existing intelligent data collection and analysis methods of agricultural product quality and safety supervision software usually directly collect relevant data of agricultural products when collecting data. At this time, the collected data may be affected by impurities such as dirt and dust attached to the surface of agricultural products, resulting in poor data accuracy.

[0004] To sum up, the direct data collection method adopted by the existing agricultural product quality and safety supervision software for data intelligent collection and analysis may lead to poor data accuracy, which has become a difficult problem that needs to be solved urgently in this field. Therefore, it is necessary to propose a data intelligent collection and analysis method for agricultural product quality and safety supervision software. Summary of the Invention

[0005] To solve the above problems, the present invention provides a data intelligent collection and analysis method for agricultural product quality and safety supervision software. Sampling selection is performed through the sampling component in the pretreatment device, which can ensure the randomness and representativeness of the sampling; the addition of the cleaning component unifies the pretreatment standards of agricultural products, ensuring that agricultural products can be effectively cleaned under the same standards, reducing the errors caused by impurities on the surface of agricultural products, and thus improving the accuracy of the final results.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: a method for intelligent data collection and analysis of agricultural product quality and safety supervision software, comprising the following steps:

[0007] Step 1: Data collection and model establishment: Collect agricultural product cultivation data of agricultural products cultivated in the same location over the past 5-10 years, establish a local database, and deploy monitoring equipment to monitor the environmental information of the current environment of the agricultural products in real time. Use the Internet big model to collect case data that is consistent with the environmental information, organize the case data into a case library, and establish an early warning model based on the case library.

[0008] Step 2: Determine the amount of pesticide residues: The harvested agricultural products are sampled and selected through the sampling component in the pretreatment device, and the sampled agricultural products are cleaned through the cleaning component in the pretreatment device. After the cleaning is completed, the amount of pesticide residues in the agricultural products is measured, and the judgment results are obtained and entered into the local database.

[0009] Step 3: Data analysis and abnormal warning: The warning model sets the warning threshold based on the case data in the case library, and analyzes the judgment results entered into the local database to obtain the analysis results. When the analysis results exceed the warning threshold, the warning model sends a warning message to the staff terminal.

[0010] The technical principles of the above solution are as follows:

[0011] The staff first collected the agricultural product cultivation data of the past 5-10 years for agricultural products cultivated in the same location, established a local database, and used monitoring equipment to monitor the environmental information of the location of the agricultural products in real time. They used the Internet big model to search for case data that was the same as the environmental information, organized the case data into a case library, and established an early warning model based on the case library.

[0012] After establishing the early warning model, the staff will place the picked agricultural products into the pretreatment device, and use the sampling component and cleaning component therein to sample and clean the agricultural products respectively. After cleaning is completed, the pesticide residues in the agricultural products will be measured, and the judgment results will be obtained and recorded in the local database.

[0013] After obtaining the judgment result, the early warning model sets the early warning threshold based on the case data in the case library, and simultaneously analyzes the judgment result to obtain the analysis result, and compares the analysis result with the early warning threshold. When the analysis result exceeds the early warning threshold, the early warning model sends an early warning information to the staff terminal to inform the staff of the current crop situation.

[0014] The above scheme has the following beneficial effects:

[0015] 1. The present invention ensures randomness and representativeness of sampling by using a sampling component in the pretreatment device. The addition of a cleaning component unifies the pretreatment standards of agricultural products, ensuring that agricultural products can be effectively cleaned under the same standards, reducing errors caused by impurities on the surface of agricultural products, and thus improving the accuracy of the final results.

[0016] 2. This invention utilizes a large internet model to collect case data consistent with environmental information and organizes it into a case library, providing a wealth of historical experience and reference for establishing early warning models. The early warning model sets warning thresholds based on the case data in the case library, effectively improving the accuracy and reliability of early warnings, thereby enhancing the quality and safety of agricultural products.

[0017] 3. The present invention can obtain the latest environmental data directly related to the quality of agricultural products by arranging monitoring equipment to monitor the environmental information of the current environment of agricultural products in real time, ensuring that the case data subsequently found through Internet big data are highly accurate, thereby improving the credibility of the early warning model and enabling it to provide early warnings on the quality and safety of agricultural products more accurately.

[0018] Furthermore, in step one, the monitoring equipment includes one or more of a temperature and humidity sensor and a soil detector, and the environmental information includes one or more of temperature and humidity information and soil composition information of the environment where the agricultural products are located.

[0019] Beneficial Effects: Temperature and humidity are important factors affecting the growth and development of agricultural products. By using temperature and humidity sensors to monitor the temperature and humidity of the environment in which agricultural products are grown in real time, the correlation between agricultural product quality and temperature and humidity can be analyzed, providing a scientific basis for agricultural product quality and safety management. Soil composition directly affects the nutritional quality and safety of agricultural products. By using soil detectors to collect real-time changes in soil composition, potential soil contamination issues can be identified and timely measures can be taken to mitigate the decline in agricultural product quality caused by soil contamination.

[0020] Furthermore, in step 2, when the judgment result is entered into the local database, the early warning model is updated in real time based on the judgment result.

[0021] Beneficial effects: The early warning model can be updated in real time according to the latest judgment results, so that it can dynamically reflect the latest status of agricultural product quality and safety, thereby improving the flexibility and adaptability of the early warning model.

[0022] Furthermore, in step 2, when measuring the pesticide residue, the staff selected five different samples from the agricultural products for separate measurement. After the measurement, the measured values of the five samples were obtained, the maximum measured value and the minimum measured value were removed, and the average value of the remaining three measured values was used as the final pesticide residue in the agricultural products.

[0023] Beneficial effects: By selecting five samples for measurement, the diversity and representativeness of the data can be increased, and the deviation of the final result caused by a single sample abnormality or measurement error can be reduced. By removing one maximum measurement value and one minimum measurement value, extreme values caused by errors can be further eliminated, thereby further improving the accuracy of the measurement results.

[0024] Furthermore, in step 2, when determining the pesticide residue, the enzyme inhibition method is used to determine the pesticide content remaining in the agricultural product.

[0025] Beneficial effects: The enzyme inhibition method is highly sensitive and accurate in detecting pesticide residues. It can detect extremely small amounts of pesticide residues, ensuring that the pesticide residues in agricultural products are within a safe range and protecting the health of consumers.

[0026] Furthermore, the pretreatment device includes a controller and a shell, a feed port is opened on the top of the shell, a fixed platform is fixedly connected to the inner wall of the shell, a U-shaped groove is opened on the top of the fixed platform, and a first guide groove, a through groove and a second guide groove are opened vertically through the fixed platform from left to right on the fixed platform, the through groove is connected to the U-shaped groove, and a driving member is fixedly connected to the inner wall of the through groove. The controller is used to control the rotation of the output shaft of the driving member.

[0027] The output shaft at one end of the driving member extends to the bottom of the through slot and is coaxially fixedly connected to a gear, and the output shaft at the other end of the driving member is coaxially fixedly connected to a turntable, which rotates in coordination with the inner wall of the through slot. A sampling component for agricultural product sampling is provided above the turntable.

[0028] A partition is fixedly connected to the inner bottom wall of the shell, which divides the bottom of the fixed platform into a guide cavity and a cleaning cavity from left to right. The inner bottom wall of the guide cavity is fixedly connected to the guide platform, and a guide outlet is opened on the side wall of the guide cavity. A cleaning component for cleaning agricultural products is provided in the cleaning cavity, and the cleaning component is located below the sampling component.

[0029] A water storage frame is fixedly connected to one side of the outer shell, and a water inlet is opened on the top of the water storage frame. A rubber plug is detachably connected to the water inlet. A cleaning solenoid valve is connected to the upper part of the side wall of the cleaning chamber. The controller is used to control the opening and closing of the cleaning solenoid valve. The cleaning chamber is connected to the inside of the water storage frame through the cleaning solenoid valve. A discharge port is opened on the side wall of the cleaning chamber, and a water outlet one-way valve is connected to the lower part of the side wall of the cleaning chamber.

[0030] Beneficial effects: The controller controls the output shaft of the driving member to rotate, so that it drives the sampling component and the cleaning component to operate simultaneously, thereby improving the continuity of the agricultural product pretreatment process. The operation of the sampling component makes the sampling process of agricultural products more random, and the operation of the cleaning component ensures that the agricultural products can be pretreated under the same cleaning standard.

[0031] Furthermore, the sampling component includes a rotating shaft eccentrically fixedly connected to the top of the turntable, a slider is rotatably engaged on the rotating shaft, the bottom wall of the U-shaped groove is slidably engaged with a limit frame, one end of the limit frame is hinged to the inner wall of the outer shell, the slider is located inside the limit frame and slides with the limit frame, and a sampling plate is fixedly connected to the top of the limit frame.

[0032] Beneficial Effects: The eccentrically mounted shaft at the top of the turntable moves in a circular motion as the turntable rotates, driving the slider to slide within the limit frame. Due to the eccentric design of the shaft, the slider swings back and forth, driving the sampling plate to swing back and forth, sampling agricultural products and improving the randomness of the sampling.

[0033] Furthermore, the cleaning assembly includes a cleaning frame rotatably engaged with the inner wall of the cleaning chamber, the inner wall of the cleaning frame is fixedly connected with a gear ring, and the gear ring is engaged with the gear.

[0034] The side wall of the cleaning frame is connected to a discharge solenoid valve, and the bottom wall of the cleaning frame is connected to a water discharge solenoid valve. The controller is used to control the opening and closing of the discharge solenoid valve and the water discharge solenoid valve. The discharge port is located in the movement path of the discharge solenoid valve, and a hard screen is fixedly connected above the water discharge solenoid valve.

[0035] Beneficial Effects: The cleaning frame is linked to the drive unit through the meshing of the gear ring and the gear. When the output shaft of the drive unit rotates, driving the gear, the gear drives the gear ring and the cleaning frame to rotate together, thus fully cleaning the agricultural products in the cleaning chamber, greatly reducing manual operation and improving cleaning efficiency.

[0036] Furthermore, a placement frame is fixedly connected to the bottom of the water storage frame, and a taking opening is opened on the side wall of the placement frame.

[0037] Beneficial effect: The taking-out opening opened on the side wall of the placement frame enables the staff to conveniently take out the pre-processed agricultural products, thereby improving the convenience of operation.

[0038] Furthermore, a guide frame is fixedly connected to the feed port.

[0039] Beneficial effects: The design of the guide frame can guide untreated agricultural products to accurately enter the pretreatment device, which can effectively prevent the agricultural products from deviating or scattering during the process of entering the pretreatment device, and provide stable input for subsequent sampling and cleaning.

[0040] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a schematic diagram of the method steps of the data intelligent collection and analysis method of the agricultural product quality and safety supervision software of the present invention.

[0042] Figure 2 This is an axonometric diagram of a preprocessing device in the data intelligent collection and analysis method of agricultural product quality and safety supervision software of the present invention.

[0043] Figure 3 This is an axonometric diagram of the internal structure of the shell in the data intelligent collection and analysis method of the agricultural product quality and safety supervision software of the present invention.

[0044] Figure 4 It is a front cross-sectional schematic diagram of the preprocessing device in the data intelligent collection and analysis method of the agricultural product quality and safety supervision software of the present invention.

[0045] Figure 5 for Figure 4 Enlarged view of part A.

[0046] The figure marks in the drawings of the specification include: 1. outer shell; 2. guide frame; 3. fixed platform; 4. gear; 5. turntable; 6. rotating shaft; 7. slider; 8. limit frame; 9. sampling plate; 10. partition; 11. guide platform; 12. cleaning frame; 13. gear ring; 14. discharge solenoid valve; 15. water outlet solenoid valve; 16. water storage frame; 17. placement frame; 18. rubber stopper; 19. cleaning solenoid valve; 20. water outlet one-way valve. DETAILED DESCRIPTION

[0047] The following is further described in detail through specific implementation methods:

[0048] Example 1:

[0049] As attached Figure 1 、 Figure 3 and Figure 4 As shown: A data intelligent collection and analysis method for agricultural product quality and safety supervision software includes the following steps:

[0050] Step 1: Data collection and model establishment: The staff collected the agricultural product cultivation data of the past eight years for agricultural products cultivated at the same location, established a local database, and used the deployed monitoring equipment to monitor the environmental information of the current environment of the agricultural products in real time. The staff collected case data that was consistent with the environmental information through the Internet big model, organized the case data into a case library, and established an early warning model based on the case library.

[0051] The monitoring equipment includes one or more of a temperature and humidity sensor and a soil detector, and the environmental information includes one or more of the temperature and humidity information and soil composition information of the agricultural products' environment. In this embodiment, the monitoring equipment uses a temperature and humidity sensor and a soil detector, and the environmental information in this embodiment includes both the temperature and humidity information and soil composition information of the agricultural products' environment. Because ambient temperature and humidity can affect the growth of agricultural products, continuous monitoring of ambient temperature and humidity can reveal the relationship between agricultural product quality and temperature and humidity, thereby improving agricultural product quality by controlling ambient temperature and humidity. Because soil composition also affects the growth of agricultural products, monitoring changes in soil composition information allows personnel to promptly detect potential soil contamination, thereby reducing the quality degradation of agricultural products caused by soil factors.

[0052] Step 2: Determining Pesticide Residues: After establishing the early warning model, workers sample the harvested agricultural products using the sampling component in the pretreatment unit. The sampled agricultural products are then cleaned using the cleaning component in the pretreatment unit. Once the agricultural products are cleaned, the enzyme inhibition method is used to determine the pesticide residues in the agricultural products. The results are then entered into the local database. Due to the high sensitivity and accuracy of the enzyme inhibition method in detecting pesticide residues, this method ensures a high degree of accuracy.

[0053] During this process, the early warning model is updated in real time based on the judgment results, which improves the accuracy of the data in the early warning model, thereby improving the accuracy and flexibility of the early warning model.

[0054] When measuring pesticide residues, staff selected five different samples from agricultural products for separate measurements. After the measurements, they obtained the measurement values of the five samples. By removing the maximum and minimum measurement values to reduce extreme values caused by errors, they took the average of the remaining three measurement values as the final pesticide residue in the agricultural products.

[0055] Step 3: Data analysis and abnormal warning: The warning model sets the warning threshold based on the case data in the case library, and analyzes the judgment results entered into the local database to obtain the analysis results. When the analysis results exceed the warning threshold, the warning model sends a warning message to the staff terminal. At this time, the staff goes to the location of the agricultural products to conduct secondary sampling of the agricultural products and conduct manual monitoring on them.

[0056] The present invention performs sampling selection through the sampling component in the pretreatment device, which can ensure the randomness and representativeness of the sampling; the addition of the cleaning component unifies the pretreatment standards of agricultural products, ensures that agricultural products can be effectively cleaned under the same standards, reduces the errors caused by impurities on the surface of agricultural products, and thus improves the accuracy of the final results.

[0057] Example 2:

[0058] As attached Figure 2 、 Figure 3 、 Figure 4 and Figure 5 As shown, the difference from Example 1 is that the pretreatment device includes a controller and a housing 1. The housing 1 has a feed port at the top, and a guide frame 2 is integrally formed at the feed port. A fixing platform 3 is welded to the inner wall of the housing 1. The top of the fixing platform 3 has a U-shaped groove. The fixing platform 3 has a first guide groove, a through groove, and a second guide groove vertically extending through the fixing platform 3 from left to right. The through groove is connected to the U-shaped groove. A driving member is fixedly connected to the inner wall of the through groove with bolts. The controller is used to control the rotation of the output shaft of the driving member. In this embodiment, the driving member uses a double-headed motor.

[0059] The output shaft at one end of the double-headed motor extends to the bottom of the through slot and is coaxially fixed with a gear 4. The output shaft at the other end of the double-headed motor is coaxially bolted and connected to a turntable 5. The turntable 5 rotates with the inner wall of the through slot. A sampling component for agricultural product sampling is provided above the turntable 5.

[0060] The sampling component includes a rotating shaft 6 eccentrically integrally formed on the top of the turntable 5, a slider 7 is rotatably engaged on the rotating shaft 6, and a limit frame 8 is slidably engaged with the bottom wall of the U-shaped groove. One end of the limit frame 8 is hinged to the inner wall of the outer shell 1, and the slider 7 is located inside the limit frame 8 and slides with the limit frame 8. A sampling plate 9 is welded on the top of the limit frame 8.

[0061] A partition 10 is welded to the inner bottom wall of the outer shell 1, which divides the area below the fixed platform 3 into a guide cavity and a cleaning cavity from left to right. A guide platform 11 is welded to the inner bottom wall of the guide cavity, and a guide outlet is provided on the side wall of the guide cavity. A cleaning component for cleaning agricultural products is provided in the cleaning cavity, and the cleaning component is located below the sampling component.

[0062] The cleaning assembly includes a cleaning frame 12 rotatably fitted to the inner wall of the cleaning chamber. A gear ring 13 is integrally formed on the inner wall of the cleaning frame 12 , and the gear ring 13 meshes with the gear 4 .

[0063] The side wall of the cleaning frame 12 is connected to a discharge solenoid valve 14 , and the bottom wall of the cleaning frame 12 is connected to a water discharge solenoid valve 15 . The controller is used to control the opening and closing of the discharge solenoid valve 14 and the water discharge solenoid valve 15 . A hard screen is welded above the water discharge solenoid valve 15 .

[0064] A water storage frame 16 is fixedly connected to one side of the outer shell 1 by bolts, and a placement frame 17 is fixedly connected to the bottom of the water storage frame 16 by bolts. A taking port is provided on the side wall of the placement frame 17, and a water filling port is provided on the top of the water storage frame 16. A rubber plug 18 is detachably engaged with the water filling port. A cleaning solenoid valve 19 is connected to the upper part of the side wall of the cleaning chamber. The controller is used to control the opening and closing of the cleaning solenoid valve 19. The cleaning chamber is connected to the inside of the water storage frame 16 through the cleaning solenoid valve 19. A discharge port is provided on the side wall of the cleaning chamber. The discharge port is located in the movement path of the discharge solenoid valve 14. The lower part of the side wall of the cleaning chamber is connected to a water outlet one-way valve 20.

[0065] The specific implementation process is as follows: the staff first removes the rubber stopper 18, injects clean water through the water inlet, and then places the picked agricultural products into the U-shaped groove inside the pretreatment device through the guide frame 2, and controls the double-headed motor output shaft to rotate through the controller, keeps the cleaning solenoid valve 19 open, and allows clean water to continue to be injected into the cleaning frame 12.

[0066] The output shaft of the double-ended motor drives the turntable 5, which in turn drives the rotating shaft 6 in a circular motion. Since one end of the limit frame 8 is hinged to the inner wall of the housing 1, the slider 7 is located within the limit frame 8. As the rotating shaft 6 moves in a circular motion, it drives the slider 7 within the limit frame 8, causing it to swing back and forth. The slider 7 then drives the limit frame 8 back and forth, which in turn drives the sampling plate 9 back and forth, sampling the agricultural products. The agricultural products are then pushed back and forth by the sampling plate 9 within the U-shaped groove, passing through the first and second guide grooves into the guide cavity and the cleaning cavity, respectively.

[0067] Agricultural products entering the guide chamber are guided by the guide platform 11 and transferred through the guide outlet to the outside of the pretreatment device. Agricultural products entering the cleaning chamber enter the cleaning frame 12. At this time, as the output shaft of the double-headed motor rotates, it also drives the gear 4, which in turn drives the gear ring 13, which in turn drives the cleaning frame 12, so that the agricultural products in the cleaning frame 12 are efficiently cleaned.

[0068] After the agricultural products in the washing frame 12 are washed, the staff opens the water outlet solenoid valve 15 through the controller and keeps the double-headed motor output shaft rotating. At this time, the water in the washing frame 12 is discharged through the hard screen and the water outlet solenoid valve 15 and is discharged through the water outlet check valve 20. During this process, the rotation of the double-headed motor output shaft causes the washing frame 12 to continue rotating, further removing the moisture between the agricultural products.

[0069] After the moisture between the agricultural products is removed, the controller controls the rotation angle of the double-headed motor output shaft so that the cleaning frame 12 is connected to the placement frame 17 through the discharge solenoid valve 14 and the discharge port. The staff opens the discharge solenoid valve 14 to transfer the agricultural products in the cleaning frame 12 to the placement frame 17, completing the pre-processing operation of the agricultural products.

[0070] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A data intelligent collection and analysis method for agricultural product quality and safety supervision software, characterized in that: The following steps are involved: Step 1: Data Collection and Model Building: Collect agricultural product cultivation data from the past 5-10 years for agricultural products grown at the same location, establish a local database, and deploy monitoring equipment to monitor the environmental information of the current environment of the agricultural products in real time. Use the Internet big model to collect case data that matches the environmental information, organize the case data into a case library, and use the case library as a basis to establish an early warning model; Step 2: Determine the pesticide residue amount: The harvested agricultural products are sampled and selected by the sampling component in the pre-treatment device. The sampled agricultural products are cleaned by the cleaning component in the pre-treatment device. After the cleaning is completed, the pesticide residue amount in the agricultural products is measured, and the judgment result is obtained and recorded in the local database; Step 3: Data analysis and abnormal warning: The warning model sets the warning threshold based on the case data in the case library, and analyzes the judgment results entered into the local database to obtain the analysis results. When the analysis results exceed the warning threshold, the warning model sends a warning message to the staff terminal.

2. The data intelligent collection and analysis method of agricultural product quality and safety supervision software according to claim 1 is characterized in that: In step 1, the monitoring equipment includes one or more of a temperature and humidity sensor and a soil detector, and the environmental information includes one or more of temperature and humidity information and soil composition information of the environment where the agricultural products are located.

3. The data intelligent collection and analysis method of agricultural product quality and safety supervision software according to claim 2 is characterized in that: In step 2, when the judgment result is entered into the local database, the early warning model is updated in real time based on the judgment result.

4. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 3 is characterized in that: In step 2, when measuring the pesticide residue, the staff selected five different samples from the agricultural products for measurement. After the measurement, the measured values of the five samples were obtained, the maximum measured value and the minimum measured value were removed, and the average value of the remaining three measured values was used as the final pesticide residue in the agricultural products.

5. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 4 is characterized in that: In step 2, when determining the pesticide residue, the enzyme inhibition method is used to determine the pesticide content remaining in the agricultural products.

6. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 5 is characterized in that: The pretreatment device comprises a controller and a housing (1); a feed port is provided on the top of the housing (1); a fixed platform (3) is fixedly connected to the inner side wall of the housing (1); a U-shaped groove is provided on the top of the fixed platform (3); a first guide groove, a through groove and a second guide groove are provided on the fixed platform (3) vertically penetrating the fixed platform (3) from left to right, the through groove is connected to the U-shaped groove, a driving member is fixedly connected to the inner side wall of the through groove, and the controller is used to control the rotation of the output shaft of the driving member; An output shaft at one end of the driving member extends to the bottom of the through slot and is coaxially fixedly connected to a gear (4); an output shaft at the other end of the driving member is coaxially fixedly connected to a turntable (5); the turntable (5) is rotatably engaged with the inner side wall of the through slot; a sampling assembly for sampling agricultural products is provided above the turntable (5); A partition (10) is fixedly connected to the inner bottom wall of the housing (1), and the partition (10) divides the lower portion of the fixed platform (3) into a guide cavity and a cleaning cavity from left to right. The inner bottom wall of the guide cavity is fixedly connected to a guide platform (11), and a guide outlet is provided on the side wall of the guide cavity. A cleaning component for cleaning agricultural products is provided in the cleaning cavity, and the cleaning component is located below the sampling component. A water storage frame (16) is fixedly connected to one side of the housing (1), a water inlet is provided on the top of the water storage frame (16), a rubber plug (18) is detachably connected to the water inlet, a cleaning solenoid valve (19) is connected to the upper side wall of the cleaning chamber, a controller is used to control the opening and closing of the cleaning solenoid valve (19), the cleaning chamber is connected to the inside of the water storage frame (16) through the cleaning solenoid valve (19), a discharge port is provided on the side wall of the cleaning chamber, and a water outlet one-way valve (20) is connected to the lower side wall of the cleaning chamber.

7. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 6 is characterized in that: The sampling assembly comprises a rotating shaft (6) eccentrically fixedly connected to the top of the turntable (5); a slider (7) is rotatably engaged with the rotating shaft (6); a limiting frame (8) is slidably engaged with the bottom wall of the U-shaped groove; one end of the limiting frame (8) is hinged to the inner wall of the shell (1); the slider (7) is located inside the limiting frame (8) and slidably engaged with the limiting frame (8); and a sampling plate (9) is fixedly connected to the top of the limiting frame (8).

8. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 7 is characterized in that: The cleaning assembly comprises a cleaning frame (12) rotatably fitted to the inner wall of the cleaning chamber, the inner wall of the cleaning frame (12) is fixedly connected with a gear ring (13), and the gear ring (13) is meshed with the gear (4); The side wall of the cleaning frame (12) is connected to a discharge solenoid valve (14), and the bottom wall of the cleaning frame (12) is connected to a water discharge solenoid valve (15). The controller is used to control the opening and closing of the discharge solenoid valve (14) and the water discharge solenoid valve (15). The discharge port is located in the movement path of the discharge solenoid valve (14), and a hard screen is fixedly connected above the water discharge solenoid valve (15).

9. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 8 is characterized in that: The bottom of the water storage frame (16) is fixedly connected with a placement frame (17), and a side wall of the placement frame (17) is provided with a taking-out opening.

10. The data intelligent collection and analysis method for agricultural product quality and safety supervision software according to claim 9 is characterized in that: A guide frame (2) is fixedly connected to the feed port.

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