Digital agricultural base cloud management platform

Abstract

The invention provides a digital agricultural base cloud management platform, and relates to the technical field of agricultural management. The invention provides a digital agricultural base cloud management platform which is characterized in that the platform comprises a server assembly, an intelligent irrigation and fertilization device, a crop management and tracing module and an equipment management and maintenance device, and the server assembly comprises a server control system and server hardware. The server control system comprises a data acquisition and monitoring module, a data analysis and decision support module, a crop management and tracing module, an operation management and marketing module and a data security and backup module. And through mutual meshing of a first bevel gear and a second bevel gear, a rotating driving rod can drive fan blades to rotate, then air can be blown into an air guide box through a through hole, and air is exhausted through an air outlet pipe and an air exhaust hole.

Description

Technical Field

[0001] The present invention relates to the field of agricultural management technology, and in particular to a digital agricultural base cloud management platform. Background Art

[0002] Digital agriculture is an emerging agricultural development form that uses digital information as a new production factor in agriculture, and uses digital information technology to visualize, digitally design, and manage agricultural objects, environments, and the entire process. It is one of the typical applications of digital economy to transform and upgrade traditional industries through digital reorganization. The most important component in digital agriculture is the cloud server. Cloud servers are increasingly widely used by using the increasingly high-speed network data transmission capabilities. The market demand for their stable and continuous operation is also increasing. To ensure that cloud servers can operate stably and continuously, their heat dissipation performance is an important factor.

[0003] Application No. 202220996874.7 discloses a digital cloud management server, including a server main body mechanism, which is provided with four groups, and the server main body mechanism is located on a cabinet mechanism with automatic opening and closing function, and the cabinet mechanism is provided with a cabinet door; the server main body mechanism is pushed into the cavity, and the roller rolls along the guide groove. At the same time, during the process of the server main body mechanism entering the cavity, the inclined surface provided at one end of the guide block will contact the extrusion contact, and the contact slides along the inclined surface. At the same time, the contact pushes the blocking plate to disengage from a group of ventilation holes, and the blocking plate pushes the guide column and compresses the spring, thereby not only placing the server main body mechanism in the cavity, but also connecting the corresponding cavity with the L-shaped ventilation duct.

[0004] The existing technology can only blow air in a single direction when the server is cooling, and it is difficult for servers located far away to fully cool down. Therefore, we propose a digital agricultural base cloud management platform. Summary of the invention

[0005] Based on the technical problems existing in the background technology, the present invention proposes a digital agricultural base cloud management platform.

[0006] The present invention proposes a digital agricultural base cloud management platform, including a server assembly, an intelligent irrigation and fertilization device, a crop management and traceability module, and an equipment management and maintenance device. The server assembly includes a server control system and server hardware. The server control system includes a data acquisition and monitoring module, a data analysis and decision support module, a crop management and traceability module, an operation management and marketing module, and a data security and backup module.

[0007] Data collection and monitoring module: integrated sensors and monitoring equipment to monitor soil moisture, temperature, light environment parameters, and crop growth in real time, and upload the data to the cloud;

[0008] Data analysis and decision support module: Use machine learning and data analysis technology to analyze the collected data and provide decision support functions for crop growth prediction, pest and disease warning, and fertilization and irrigation recommendations;

[0009] Intelligent irrigation and fertilization device: Based on the results of data analysis and decision support module analysis, it automatically controls the irrigation system and fertilization equipment to achieve precise fertilization and irrigation, saving water resources and fertilizer use;

[0010] Crop management and traceability module: records crop planting information, growth process, fertilization and irrigation records, and realizes the whole process management and traceability of crop growth;

[0011] Equipment management and maintenance device: manage the use, maintenance records and repair plans of agricultural equipment to improve equipment utilization and extend equipment life;

[0012] Operation management and marketing module: manages the operating income and expenditure, cost accounting, and sales records of the agricultural base, and provides support for operation analysis and marketing strategies;

[0013] Mobile application: Provide mobile application to facilitate users to check the operation status and management data of agricultural bases anytime and anywhere;

[0014] Data security and backup module: Use data encryption technology to ensure data security, perform regular data backup, and prevent data loss.

[0015] Preferably, the crop growth prediction method in the data analysis and decision support module is as follows:

[0016] The crop growth prediction method in the data analysis and decision support module is as follows:

[0017] Y t =c+φ1Y t-1 +φ2Y t-2 +...+φ p Y t-p +θ1ε t-1 +θ2ε t-2 +...+θ q ε t-q +ε t

[0018] in:

[0019] Y t is the predicted value of the time series at time t;

[0020] c is a constant term;

[0021] φ1, φ2, ..., φ qis the autoregressive coefficient, which represents the linear combination of the current observation and the past p observations;

[0022] θ1, θ2, ..., θ q is the moving average coefficient, which represents the linear combination of the current observation and the past q error terms;

[0023] ε t is a white noise error term, representing the random error at time t.

[0024] Preferably, the pest warning method in the data analysis and decision support module is as follows:

[0025] S1. Data collection and preparation: Collect historical environmental data and crop growth data, the historical environmental data including meteorological data and soil moisture, and correspond the historical environmental data with historical pest information;

[0026] S2. Feature selection: Based on domain knowledge and data analysis, appropriate features are selected, such as meteorological data and soil moisture, to predict pest and disease risks;

[0027] S3. Model building: Select an appropriate machine learning algorithm, random forest, to build a prediction model. The model formula can be expressed as:

[0028] y=f(x1,x2,...,x n )

[0029] Where y is the predicted pest risk, x1, x2, ..., x n is the characteristic variable, and f is the model function.

[0030] S4. Model training: Use historical data to train the model so that it can accurately predict the risk of crop pests and diseases;

[0031] S5. Model evaluation: Use the validation dataset to evaluate the performance of the model, including accuracy and recall;

[0032] S6. Prediction and warning: When the model detects a high risk of pests and diseases, it provides a warning and gives corresponding prevention and control recommendations.

[0033] Preferably, the server hardware includes a shell, characterized in that a plurality of layer plates are fixedly mounted on the inner wall of the shell, a plurality of openings are opened on one side of the shell, the openings cooperate with the corresponding layer plates, a cover plate is rotatably connected to the opening, a server is placed on the layer plates, two air guide boxes are fixedly mounted on the top inner wall of the shell, two through holes are opened on the top of the shell, the through holes are communicated with the air guide boxes, and a dustproof net is fixedly mounted on the inner wall of the through holes, a blowing mechanism is provided in the air guide box, a motor is fixedly mounted on the inner wall of one side of the shell, an active rod is fixedly mounted on the output shaft of the motor, the active rod is rotatably connected to the two air guide boxes, and the active rod is transmission-connected to the two blowing mechanisms, an air outlet pipe is rotatably connected to the bottom of the air guide box, a plurality of exhaust holes are opened on the air outlet pipe, an angle rotation mechanism is provided on the air outlet pipe, and the angle rotation mechanism is transmission-connected to the blowing mechanism.

[0034] Preferably, the air blowing mechanism includes fan blades, a mounting rod is fixedly mounted on the inner wall of the air guide box, a rotating shaft is rotatably connected to the mounting rod, and the fan blades are fixedly connected to the rotating shaft.

[0035] Preferably, two first bevel gears are fixedly mounted on the active rod, a second bevel gear is fixedly mounted on the top end of the rotating shaft, and the first bevel gears mesh with the corresponding second bevel gears.

[0036] Preferably, a fixing box is fixedly installed on the top of the mounting rod, the fixing box is rotatably connected to the active rod, and the first bevel gear and the second bevel gear are both located in the fixing box.

[0037] Preferably, the angle rotation mechanism includes a positioning box, which is rotatably mounted on the air outlet duct, a rack is slidably connected to the positioning box, a driven gear is fixedly mounted on the air outlet duct, the rack and the driven gear are meshed with each other, and the positioning box is fixedly connected to the air guide box.

[0038] Preferably, a turntable is fixedly mounted on the bottom end of the rotating shaft, an eccentric shaft is fixedly mounted on the bottom of the turntable, a circular frame is fixedly mounted on one end of the rack, and the eccentric shaft is movably connected to the circular frame.

[0039] The digital agricultural base cloud management platform proposed by the present invention has the following beneficial effects:

[0040] 1. Through the mutual meshing of the first bevel gear and the second bevel gear, the rotating active rod can drive the fan blades to rotate, and then the air can be blown into the air guide box through the through hole and discharged through the air outlet pipe and the exhaust hole.

[0041] 2. Due to the movable connection between the eccentric shaft and the circular frame on the turntable, and the mutual meshing of the rack and the driven gear, the rotating shaft can drive the air outlet pipe to change its angle back and forth, and then blow air back and forth to different positions of the shell, thereby increasing the heat dissipation range. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic diagram of the overall structure of a digital agricultural base cloud management platform proposed by the present invention;

[0043] Figure 2 This is a schematic diagram of a front cross-sectional structure of a digital agricultural base cloud management platform proposed by the present invention;

[0044] Figure 3 This is a schematic diagram of the angle rotation mechanism structure in a digital agricultural base cloud management platform proposed by the present invention;

[0045] Figure 4 This is a schematic diagram of the air outlet duct structure in a digital agricultural base cloud management platform proposed by the present invention;

[0046] Figure 5 This is a structural diagram of part A of a digital agricultural base cloud management platform proposed by the present invention;

[0047] Figure 6 This is an overall system diagram of a digital agricultural base cloud management platform proposed in the present invention.

[0048] In the figure: 1. shell; 2. shelf; 3. server; 4. cover plate; 5. air guide box; 6. mounting rod; 7. rotating shaft; 8. fan blade; 9. motor; 10. active rod; 11. first bevel gear; 12. second bevel gear; 13. air outlet duct; 14. positioning box; 15. rack; 16. driven gear; 17. turntable; 18. circular frame; 19. eccentric shaft; 20. through hole; 21. dust screen; 22. exhaust hole. DETAILED DESCRIPTION

[0049] Reference Figure 1-Figure 5 , a digital agricultural base cloud management platform, characterized in that it includes a server assembly, an intelligent irrigation and fertilization device, a crop management and traceability module, and an equipment management and maintenance device. The server assembly includes a server control system and server hardware. The server control system includes a data acquisition and monitoring module, a data analysis and decision support module, a crop management and traceability module, an operation management and marketing module, and a data security and backup module;

[0050] Data collection and monitoring module: integrated sensors and monitoring equipment to monitor soil moisture, temperature, light environment parameters, and crop growth in real time, and upload the data to the cloud;

[0051] Data analysis and decision support module: Use machine learning and data analysis technology to analyze the collected data and provide decision support functions for crop growth prediction, pest and disease warning, and fertilization and irrigation recommendations;

[0052] Intelligent irrigation and fertilization device: Based on the results of data analysis and decision support module analysis, it automatically controls the irrigation system and fertilization equipment to achieve precise fertilization and irrigation, saving water resources and fertilizer use;

[0053] Crop management and traceability module: records crop planting information, growth process, fertilization and irrigation records, and realizes the whole process management and traceability of crop growth;

[0054] Equipment management and maintenance device: manage the use, maintenance records and repair plans of agricultural equipment to improve equipment utilization and extend equipment life;

[0055] Operation management and marketing module: manages the operating income and expenditure, cost accounting, and sales records of the agricultural base, and provides support for operation analysis and marketing strategies;

[0056] Mobile application: Provide mobile application to facilitate users to check the operation status and management data of agricultural bases anytime and anywhere;

[0057] Data security and backup module: Use data encryption technology to ensure data security, perform regular data backup, and prevent data loss.

[0058] The crop growth prediction method in the data analysis and decision support module is as follows:

[0059] Y t =c+φ1Y t-1 +φ2Y t-2 +...+φ p Y t-p +θ1ε t-1 +θ2ε t-2 +...+θ q ε t-q +ε t

[0060] in:

[0061] Y t is the predicted value of the time series at time t;

[0062] c is a constant term;

[0063] φ1, φ2, ..., φ q is the autoregressive coefficient, which represents the linear combination of the current observation and the past p observations;

[0064] θ1, θ2, ..., θ q is the moving average coefficient, which represents the linear combination of the current observation and the past q error terms;

[0065] ε tis a white noise error term, representing the random error at time t.

[0066] The pest warning method in the data analysis and decision support module is as follows:

[0067] S1. Data collection and preparation: Collect historical environmental data and crop growth data, the historical environmental data including meteorological data and soil moisture, and correspond the historical environmental data with historical pest information;

[0068] S2. Feature selection: Based on domain knowledge and data analysis, appropriate features are selected, such as meteorological data and soil moisture, to predict pest and disease risks;

[0069] S3. Model building: Select an appropriate machine learning algorithm, random forest, to build a prediction model. The model formula can be expressed as:

[0070] y=f(x1,x2,...,x n )

[0071] Where y is the predicted pest risk, x1, x2, ..., x n is the characteristic variable, and f is the model function.

[0072] S4. Model training: Use historical data to train the model so that it can accurately predict the risk of crop pests and diseases;

[0073] S5. Model evaluation: Use the validation dataset to evaluate the performance of the model, including accuracy and recall;

[0074] S6. Prediction and warning: When the model detects a high risk of pests and diseases, it provides a warning and gives corresponding prevention and control recommendations.

[0075] The server hardware includes a shell 1, on the inner wall of which a plurality of layers 2 are fixedly mounted, one side of the shell 1 is provided with a plurality of openings, the openings cooperate with the corresponding layers 2, a cover plate 4 is rotatably connected to the opening, a server 3 is placed on the layer 2, two air guide boxes 5 are fixedly mounted on the top inner wall of the shell 1, two through holes 20 are provided on the top of the shell 1, the through holes 20 are communicated with the air guide boxes 5, and a dustproof net 21 is fixedly mounted on the inner wall of the through holes 20, a blowing mechanism is arranged in the air guide box 5, a motor 9 is fixedly mounted on the inner wall of one side of the shell 1, an active rod 10 is fixedly mounted on the output shaft of the motor 9, the active rod 10 is rotatably connected to the two air guide boxes 5, and the active rod 10 is transmission-connected to the two blowing mechanisms, an air outlet duct 13 is rotatably connected to the bottom of the air guide box 5, a plurality of exhaust holes 22 are provided on the air outlet duct 13, an angle rotation mechanism is provided on the air outlet duct 13, the angle rotation mechanism is transmission-connected to the blowing mechanism, and an air outlet is arranged at the bottom of the shell 1.

[0076] In a specific embodiment, the blowing mechanism includes fan blades 8, a mounting rod 6 is fixedly installed on the inner wall of the air guide box 5, a rotating shaft 7 is rotatably connected to the mounting rod 6, the fan blades 8 are fixedly connected to the rotating shaft 7, two first bevel gears 11 are fixedly installed on the active rod 10, a second bevel gear 12 is fixedly installed on the top of the rotating shaft 7, the first bevel gear 11 and the corresponding second bevel gear 12 are meshed with each other, a fixing box is fixedly installed on the top of the mounting rod 6, the fixing box is rotatably connected to the active rod 10, the first bevel gear 11 and the second bevel gear 12 are both located in the fixing box, the rotating active rod 10 drives the rotating shaft 7 to rotate through the mutual meshing of the first bevel gear 11 and the second bevel gear 12, the rotating shaft 7 drives the fan blades 8 to rotate, the rotating fan blades 8 form air flow, so that the air guide box 5 can be blown and the air is filtered through the dustproof net 21.

[0077] In a specific embodiment, the angle rotation mechanism includes a positioning box 14, which is rotatably mounted on the air outlet 13, and a rack 15 is slidably connected to the positioning box 14. A driven gear 16 is fixedly mounted on the air outlet 13, and the rack 15 and the driven gear 16 are meshed with each other. The positioning box 14 is fixedly connected to the air guide box 5, and a turntable 17 is fixedly mounted on the bottom end of the rotating shaft 7. An eccentric shaft 19 is fixedly mounted on the bottom of the rotating shaft 7, and a circular frame 18 is fixedly mounted on one end of the rack 15. The eccentric shaft 19 is movably connected to the circular frame 18. The rotating rotating shaft 7 drives the turntable 17 to rotate, and the turntable 17 is movably connected to the circular frame 18 through the eccentric shaft 19, so as to drive the circular frame 18 to move back and forth. The circular frame 18 drives the rack 15 to move, and the rack 15 drives the air outlet 13 to change its angle back and forth by meshing with the driven gear 16.

[0078] The working principle of the present invention is as follows: when working, multiple layer plates 2 can place the server 3 and be closed by the cover plate 4, the motor 9 switch is started, and the output shaft of the motor 9 drives the active rod 10 to rotate. The rotating active rod 10 drives the rotating shaft 7 to rotate through the mutual engagement of the first bevel gear 11 and the second bevel gear 12, and the rotating shaft 7 drives the fan blades 8 to rotate. The rotating fan blades 8 form air flow, so that air can be blown to the air guide box 5 and the air is filtered through the dustproof net 21. The rotating rotating shaft 7 drives the turntable 17 to rotate. The turntable 17 is movably connected with the circular frame 18 through the eccentric shaft 19, so that the circular frame 18 can be driven to move back and forth. The circular frame 18 drives the rack 15 to move, and the rack 15 drives the air outlet pipe 13 to change its angle back and forth through the mutual engagement with the driven gear 16.

[0079] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A digital agricultural base cloud management platform, characterized in that: It includes a server assembly, an intelligent irrigation and fertilization device, a crop management and traceability module, and an equipment management and maintenance device. The server assembly includes a server control system and server hardware. The server control system includes a data acquisition and monitoring module, a data analysis and decision support module, a crop management and traceability module, an operation management and marketing module, and a data security and backup module. Data collection and monitoring module: integrated sensors and monitoring equipment to monitor soil moisture, temperature, light environment parameters, and crop growth in real time, and upload the data to the cloud; Data analysis and decision support module: Use machine learning and data analysis technology to analyze the collected data and provide decision support functions for crop growth prediction, pest and disease warning, and fertilization and irrigation recommendations; Intelligent irrigation and fertilization device: Based on the results of data analysis and decision support module analysis, it automatically controls the irrigation system and fertilization equipment to achieve precise fertilization and irrigation, saving water resources and fertilizer use; Crop management and traceability module: records crop planting information, growth process, fertilization and irrigation records, and realizes the whole process management and traceability of crop growth; Equipment management and maintenance device: manage the use, maintenance records and repair plans of agricultural equipment to improve equipment utilization and extend equipment life; Operation management and marketing module: manages the operating income and expenditure, cost accounting, and sales records of the agricultural base, and provides support for operation analysis and marketing strategies; Mobile application: Provide mobile application to facilitate users to check the operation status and management data of agricultural bases anytime and anywhere; Data security and backup module: Use data encryption technology to ensure data security, perform regular data backup, and prevent data loss.

2. A digital agricultural base cloud management platform according to claim 1, characterized in that: The crop growth prediction formula in the data analysis and decision support module is as follows: Y t =c+φ1Y t-1 +φ2Y t-2 +...+φ p Y t-p +θ1ε t-1 +θ2ε t-2 +...+θ q e t-q +e t Among them: Y t is the predicted value of the time series at time t; c is a constant term; φ1, φ2, ..., φ q is the autoregressive coefficient, which represents the linear combination of the current observation and the past p observations; θ1, θ2, ..., θ q is the moving average coefficient, which represents the linear combination of the current observation and the past q error terms; ε t is a white noise error term, representing the random error at time t.

3. A digital agricultural base cloud management platform according to claim 1, characterized in that: The pest warning method in the data analysis and decision support module is as follows: S1. Data collection and preparation: Collect historical environmental data and crop growth data, the historical environmental data including meteorological data and soil moisture, and correspond the historical environmental data with historical pest information; S2. Feature selection: Based on domain knowledge and data analysis, appropriate features are selected, such as meteorological data and soil moisture, to predict pest and disease risks; S3. Model building: Select an appropriate machine learning algorithm, random forest, to build a prediction model. The model formula can be expressed as: y=f(x1,x2,...,x n ) Where y is the predicted pest risk, x1, x2, ..., x n is the characteristic variable, and f is the model function. S4. Model training: Use historical data to train the model so that it can accurately predict the risk of crop pests and diseases; S5. Model evaluation: Use the validation dataset to evaluate the performance of the model, including accuracy and recall; S6. Prediction and warning: When the model detects a high risk of pests and diseases, it provides a warning and gives corresponding prevention and control recommendations.

4. A digital agricultural base cloud management platform according to claim 1, characterized in that: The server hardware comprises a shell (1), characterized in that a plurality of layer plates (2) are fixedly mounted on the inner wall of the shell (1), a plurality of openings are provided on one side of the shell (1), the openings cooperate with the corresponding layer plates (2), a cover plate (4) is rotatably connected to the opening, a server (3) is placed on the layer plate (2), two air guide boxes (5) are fixedly mounted on the top inner wall of the shell (1), two through holes (20) are provided on the top of the shell (1), the through holes (20) are communicated with the air guide boxes (5), and a through hole (20) is fixedly mounted on the inner wall of the through hole (20). A dustproof net (21) is provided, a blowing mechanism is provided inside the air guide box (5), a motor (9) is fixedly installed on an inner wall of one side of the shell (1), an active rod (10) is fixedly installed on the output shaft of the motor (9), the active rod (10) is rotatably connected to the two air guide boxes (5), and the active rod (10) is transmission-connected to the two blowing mechanisms, an air outlet pipe (13) is rotatably connected to the bottom of the air guide box (5), a plurality of exhaust holes (22) are provided on the air outlet pipe (13), an angle rotation mechanism is provided on the air outlet pipe (13), and the angle rotation mechanism is transmission-connected to the blowing mechanism.

5. A digital agricultural base cloud management platform according to claim 4, characterized in that: The air blowing mechanism comprises a fan blade (8), a mounting rod (6) is fixedly mounted on the inner wall of the air guide box (5), a rotating shaft (7) is rotatably connected to the mounting rod (6), and the fan blade (8) is fixedly connected to the rotating shaft (7).

6. A digital agricultural base cloud management platform according to claim 5, characterized in that: Two first bevel gears (11) are fixedly mounted on the active rod (10), a second bevel gear (12) is fixedly mounted on the top end of the rotating shaft (7), and the first bevel gears (11) and the corresponding second bevel gears (12) are meshed with each other.

7. A digital agricultural base cloud management platform according to claim 6, characterized in that: A fixing box is fixedly mounted on the top of the mounting rod (6), the fixing box is rotationally connected to the active rod (10), and the first bevel gear (11) and the second bevel gear (12) are both located in the fixing box.

8. A digital agricultural base cloud management platform according to claim 7, characterized in that: The angle rotation mechanism comprises a positioning box (14), the positioning box (14) is rotatably mounted on the air outlet pipe (13), a rack (15) is slidably connected to the positioning box (14), a driven gear (16) is fixedly mounted on the air outlet pipe (13), the rack (15) and the driven gear (16) are meshed with each other, and the positioning box (14) is fixedly connected to the air guide box (5).

9. A digital agricultural base cloud management platform according to claim 8, characterized in that: A rotating disk (17) is fixedly mounted on the bottom end of the rotating shaft (7), an eccentric shaft (19) is fixedly mounted on the bottom of the rotating disk (17), a circular frame (18) is fixedly mounted on one end of the rack (15), and the eccentric shaft (19) is movably connected to the circular frame (18).

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