Agricultural plant protection unmanned aerial vehicle path rapid planning system and device

Abstract

The invention relates to the technical field of plant protection unmanned aerial vehicles, in particular to an agricultural plant protection unmanned aerial vehicle path rapid planning system and device, and the technical scheme comprises an unmanned aerial vehicle body and a mobile control terminal. The unmanned aerial vehicle body integrates functional modules of high-precision navigation, video processing and the like, and is wirelessly connected with the mobile control terminal through the Internet of Things. The mobile control terminal is provided with a touch screen, can display the operation state of the unmanned aerial vehicle in real time, and supports path planning and editing. The system has the functions of real-time obstacle avoidance, voice instruction control, remote monitoring and fault diagnosis, ensures safe operation of the unmanned aerial vehicle and provides convenient operation experience. Meanwhile, the system supports data recording and analysis, and provides agricultural plant protection decision support for users. The technical problems of the agricultural plant protection unmanned aerial vehicle in the aspects of path planning, real-time obstacle avoidance, remote monitoring, data analysis and the like are solved, the working efficiency and the safety are improved, and the energy consumption and the labor cost are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of plant protection UAVs, and in particular to a system and device for quickly planning a path for an agricultural plant protection UAV. Background Art

[0002] After extensive searching, the publication number is CN110488873A, which discloses a method and system for planning the operation route of a plant protection UAV. The obstacle avoidance module reduces the accident rate of the plant protection UAV, and also ensures people's personal safety and property safety. At the same time, the evaluation module effectively and accurately calculates the spraying effect parameters such as the effective spraying rate, missed spraying rate, re-spraying rate, shift time hourly productivity, pure spraying time hourly productivity, time utilization rate, use reliability coefficient and labor productivity of the plant protection UAV, thereby realizing the evaluation of the operation efficiency and effect of the plant protection UAV, laying the foundation for the subsequent improvement of the plant protection UAV.

[0003] In the existing technology, when CN110488873A is used, the integration and modular design between the modules are not obvious enough, which may lead to a high overall complexity of the system and difficulty in maintenance and upgrading. At the same time, the system mainly relies on preset routes and remote control operations, lacks real-time environmental perception and autonomous decision-making capabilities, and cannot flexibly adjust operation strategies according to the actual situation of the farmland. Therefore, a rapid path planning system and device for agricultural plant protection drones are needed to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a system and device for rapid path planning of an agricultural plant protection UAV, which can effectively solve the problems in the background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a system and device for rapid path planning of an agricultural plant protection UAV, comprising a UAV body and a mobile control terminal matched with the UAV body, wherein the UAV body comprises a frame, a mainframe compartment is fixedly installed in the middle of the upper end surface of the frame, a mainboard is fixedly installed in the mainframe compartment, a camera is fixedly installed in the middle of the bottom of the frame, and a chassis is fixedly installed at the bottom of the frame outside the camera;

[0006] The mainboard is provided with an editable logic controller, a navigation module, an Internet of Things module, a video processing module, a SIM card slot and a charging module;

[0007] The drone body is wirelessly connected to the mobile control terminal via the Internet of Things module;

[0008] A touch screen is embedded in the middle of the upper end surface of the mobile control terminal. The touch screen can display images or videos captured by the camera, as well as the flight parameters and operation status of the drone in real time, so as to facilitate users to perform remote monitoring and path planning. A crank is provided on the upper end surface of the mobile control terminal on one side of the touch screen, and a microphone and control buttons are provided on the upper end surface of the mobile control terminal on the other side of the touch screen.

[0009] Preferably, the drone body further includes a power assembly, which includes at least one motor and a propeller matched therewith, and the power assembly is mounted on the four corners of the frame to provide power for the drone to take off and fly.

[0010] In the above technical solution, power components are installed on the four corners of the frame, and each power component contains at least one motor and a matching propeller. This layout design not only provides stable flight support, but also ensures the balance and maneuverability of the drone during operation. Through the power distribution at the four corners, the drone can adjust its flight attitude more flexibly, adapt to the complex farmland environment, and improve the stability and safety of the flight.

[0011] Preferably, a top plate is fixedly installed on the upper end surface of the main compartment, and the top plate is fixedly installed on the top of the main compartment by connecting bolts. A hole is opened on the upper end surface of the top plate and a solar power supply component is embedded and installed. The solar power supply component includes multiple solar panels and a battery management system, which is used to supplement or replace the power supply of the internal battery of the drone when there is sufficient sunlight. The battery management system is used to monitor the battery status, optimize the charging and discharging process, and ensure continuous power supply for the drone during operation.

[0012] In the above technical solution, a solar power supply component is embedded and installed on the top of the main cabin through the roof. The component consists of multiple solar panels and a battery management system. This design enables the drone to use solar energy to charge or replenish power when there is sufficient sunlight, thereby extending the operation time of the drone. The battery management system is responsible for monitoring the battery status, optimizing the charging and discharging process, and ensuring that the drone always maintains a stable power supply during operation. This green and sustainable way of using energy not only reduces the operating cost of the drone, but also improves its environmental adaptability.

[0013] Preferably, the navigation module integrates the Beidou positioning system and the inertial navigation system to provide high-precision three-dimensional positioning and attitude information of the drone, and the Internet of Things module provides stable and high-speed data transmission between the drone and the mobile control terminal.

[0014] In the above technical solution, the navigation module integrates the Beidou positioning system and the inertial navigation system, providing the drone with high-precision three-dimensional positioning and attitude information. This integrated design enables the drone to locate its position more accurately and maintain a stable attitude during flight. This is crucial for agricultural plant protection operations because it ensures that the drone can perform precise operations according to the preset path and altitude, improving the efficiency and accuracy of the operation.

[0015] Preferably, the video processing module is connected to a camera and is used to capture images or videos of farmland in real time and perform preprocessing, such as image enhancement and target detection.

[0016] In the above technical solution, the video processing module is connected to the camera, which can capture images or videos of farmland in real time and perform preprocessing such as image enhancement and target detection. This real-time processing capability enables the drone to quickly identify crops and obstacles in the farmland during operation, providing strong support for subsequent precision operations. At the same time, through image enhancement technology, the drone can also maintain clear image quality in low light or complex environments, further improving the accuracy and reliability of operations.

[0017] Preferably, the control buttons include take-off and landing buttons and a camera switch button, which are used to perform key operations of the drone.

[0018] In the above technical solution, the control buttons on the mobile control terminal include take-off, landing buttons and camera switch buttons, and the design of these buttons enables users to easily perform key operations of the drone. Through simple key operations, users can quickly start or stop the flight of the drone, as well as control the switch of the camera, thereby achieving precise control of the drone operation. This convenient operation method not only improves the user experience, but also ensures the safety and stability of the drone during operation.

[0019] Preferably, the crank has a sensitive sensor that can accurately sense the user's operating intention and transmit the operating instructions to the mainboard of the drone body for execution.

[0020] In the above technical solution, the crank has a sensitive sensor that can accurately sense the user's operating intention and transmit the operating instructions to the main board of the drone for execution. This design allows users to control the flight direction and speed of the drone through subtle shaking gestures, achieving precise control of the drone operation. At the same time, the sensitivity and accuracy of the crank also improve the user's operating efficiency in complex environments, allowing the drone to better adapt to various farmland environments and operating needs.

[0021] A rapid path planning system for an agricultural plant protection UAV, comprising the agricultural plant protection UAV device, and additionally comprising a path planning module and a user interface module;

[0022] The path planning module, based on the high-precision three-dimensional positioning and attitude information provided by the navigation module, combined with environmental data such as farmland maps, crop distribution, and obstacle locations, quickly generates the optimal flight path for drone operations through complex algorithms to maximize operating efficiency and reduce energy consumption;

[0023] The user interface module is presented to the user through the touch screen of the mobile control terminal, allowing the user to intuitively view the current location of the drone, the preset path, the farmland map, the operation progress and other information, and provides a path editing tool so that the user can adjust or customize the flight path as needed;

[0024] The system also has a real-time obstacle avoidance function. Through the images or videos captured by the camera, combined with the image recognition and target detection technology of the video processing module, it can detect and avoid obstacles on the flight path in real time to ensure the safe operation of the drone;

[0025] Users can use the microphone to issue voice commands to the system, such as starting an operation, pausing an operation, returning to base, etc. The system can recognize and respond to these commands, providing a convenient operating experience;

[0026] The system also has remote monitoring and fault diagnosis functions. Users can view key information such as the flight status, battery power, and camera working status of the drone in real time through the mobile control terminal. Once an abnormality or fault is detected, the system will immediately issue an alarm and provide corresponding solutions or suggestions.

[0027] The system supports data recording and analysis functions, and can record data such as the flight path, operation time, crop growth status, etc. of each operation, and provide users with decision support for agricultural plant protection through data analysis.

[0028] Preferably, the system further includes an environment perception module and an autonomous decision-making module:

[0029] The environmental perception module collects various data of the farmland environment in real time by integrating a temperature and humidity sensor or a light sensor and cooperating with a camera, including but not limited to the temperature and humidity of the farmland, light intensity, soil moisture, and crop growth status;

[0030] The autonomous decision-making module, based on the data collected by the environmental perception module and combined with the preset agricultural plant protection model and algorithm, autonomously determines whether the crops need to be treated with pesticides, fertilizers or other plant protection measures, and adjusts the operation parameters and path planning of the drone accordingly, so as to achieve more accurate and intelligent agricultural plant protection operations;

[0031] The system also has learning capabilities, and can continuously accumulate and analyze data and experience in agricultural plant protection operations, optimize autonomous decision-making models and algorithms, and improve the system's intelligence level and operational efficiency.

[0032] Preferably, the system further comprises a remote update module and a job report generation module:

[0033] The remote update module allows users to remotely update the system's software, algorithms, map data, etc. through a mobile control terminal to ensure that the system always maintains the latest functions and performance;

[0034] The operation report generation module can automatically generate a detailed operation report based on the data of each operation of the drone, including but not limited to operation time, location, crop type, amount of pesticides and fertilizers applied, operation efficiency and operation effect;

[0035] The system also supports multi-user management and permission setting functions, allowing different users to view, edit or export job reports according to their roles and permissions, thereby improving the flexibility and security of the system.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The design of the drone body and the mobile control terminal in the present invention pays more attention to modularization. For example, the main board inside the drone body integrates multiple functional modules such as an editable logic controller, a navigation module, an Internet of Things module, a video processing module, a SIM card slot, and a charging module. These modules are both independent of each other and work closely together to form a highly integrated system. The modular design makes it easier to maintain and upgrade the system. When a module fails or needs to be upgraded, only the corresponding module needs to be replaced or upgraded without making large-scale changes to the entire system.

[0038] At the same time, the path planning module and the user interface module are introduced. These two modules work together to realize the real-time perception and autonomous decision-making of the UAV on the farmland environment. The path planning module is based on the high-precision three-dimensional positioning and attitude information provided by the navigation module, combined with environmental data such as farmland maps, crop distribution, and obstacle locations, and quickly generates the optimal flight path for UAV operations through complex algorithms. The user interface module presents intuitive information to users through the touch screen of the mobile control terminal, and provides path editing tools so that users can adjust or customize the flight path as needed. In addition, the system also has a real-time obstacle avoidance function. Through the images or videos captured by the camera, combined with the image recognition and target detection technology of the video processing module, it can detect and avoid obstacles on the flight path in real time. It not only supports preset routes, but also allows users to adjust the flight path in real time through the user interface module, realizing a more flexible operation strategy. Users can also issue voice commands to the system through the microphone, such as starting operations, pausing operations, returning to base, etc. The system can recognize and respond to these commands, providing a more convenient operation experience.

[0039] The highly integrated and modular design in the present invention improves the reliability and stability of the system, reduces the difficulty and cost of maintenance and upgrading, and makes the system easier to expand and upgrade to adapt to new technologies and new needs that may appear in the future; the real-time environmental perception and autonomous decision-making capabilities improve the efficiency and accuracy of the UAV operation, reduce energy consumption and labor costs, and enable the UAV to flexibly adjust the operation strategy according to the actual situation of the farmland, thereby improving the flexibility and adaptability of the operation; the user can easily control the UAV through the touch screen and voice commands, which improves the convenience of operation and user satisfaction, and displays the current position of the UAV, preset path, farmland map, operation progress and other information in real time, so that the user can intuitively understand the operation of the UAV; the remote monitoring and fault diagnosis functions improve the safety and reliability of the system, reduce the probability and impact of faults, and once an abnormality or fault is detected, the system will immediately issue an alarm and give corresponding solutions or suggestions, which helps users take measures to solve the problem in time; the data recording and analysis functions provide rich data support, which helps users understand the crop growth status, optimize the operation strategy, and improve the efficiency and effect of agricultural plant protection. Through data analysis, it can also provide users with decision support for agricultural plant protection and help users make more informed decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the main structure of the present invention;

[0041] Figure 2 This is a schematic diagram of the front view structure of the drone body of the present invention;

[0042] Figure 3 It is a schematic diagram of the mainboard structure of the present invention;

[0043] Figure 4 It is a structural schematic diagram of the mobile control terminal of the present invention;

[0044] Figure 5 This is a flow chart of the UAV route planning method of the present invention;

[0045] Figure 6 This is a structural block diagram of the UAV route planning system of the present invention;

[0046] Figure 7 The present invention is a flow chart of a control method for a mobile terminal.

[0047] In the figure: 1. UAV body; 11. frame; 111. power component; 12. top plate; 121. solar power supply component; 13. main compartment; 131. main board; 1311. editable logic controller; 1312. navigation module; 1313. Internet of Things module; 1314. video processing module; 1315. SIM card slot; 1316. charging module; 14. chassis; 15. camera; 2. mobile control terminal; 21. microphone; 22. control button; 23. touch screen; 24. crank. DETAILED DESCRIPTION

[0048] 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.

[0049] Embodiment 1

[0050] like Figures 1 to 7 As shown, an embodiment of the present invention provides: a system and device for rapid path planning of an agricultural plant protection UAV, comprising a UAV body 1 and a mobile control terminal 2 matched with the UAV body 1, wherein the UAV body 1 comprises a frame 11, a mainframe compartment 13 is fixedly installed in the middle of the upper end surface of the frame 11, a mainboard 131 is fixedly installed in the mainframe compartment 13, a camera 15 is fixedly installed in the middle of the bottom of the frame 11, and a bottom frame 14 is fixedly installed at the bottom of the frame 11 outside the camera 15;

[0051] The main board 131 is provided with an editable logic controller 1311, a navigation module 1312, an Internet of Things module 1313, a video processing module 1314, a SIM card slot 1315 and a charging module 1316;

[0052] The drone body 1 is wirelessly connected to the mobile control terminal 2 via the Internet of Things module 1313;

[0053] A touch screen 23 is embedded in the middle of the upper end surface of the mobile control terminal 2. The touch screen 23 can display the images or videos captured by the camera 15, as well as the flight parameters and operation status of the drone in real time, so as to facilitate users to perform remote monitoring and path planning. A crank 24 is provided on the upper end surface of the mobile control terminal 2 on one side of the touch screen 23, and a microphone 21 and a control button 22 are provided on the upper end surface of the mobile control terminal 2 on the other side of the touch screen 23.

[0054] The agricultural plant protection UAV device also includes a path planning module and a user interface module;

[0055] The path planning module, based on the high-precision three-dimensional positioning and attitude information provided by the navigation module 1312, combined with environmental data such as farmland maps, crop distribution, and obstacle locations, quickly generates the optimal flight path for the UAV operation through complex algorithms to maximize operation efficiency and reduce energy consumption;

[0056] The user interface module is presented to the user through the touch screen 23 of the mobile control terminal 2, allowing the user to intuitively view the current position of the drone, the preset path, the farmland map, the operation progress and other information, and provides a path editing tool so that the user can adjust or customize the flight path as needed;

[0057] The system also has a real-time obstacle avoidance function. Through the images or videos captured by the camera 15, combined with the image recognition and target detection technology of the video processing module 1314, it can detect and avoid obstacles on the flight path in real time to ensure the safe operation of the drone;

[0058] The user can issue voice commands to the system through the microphone 21, such as starting an operation, pausing an operation, returning to the base, etc. The system can recognize and respond to these commands, providing a convenient operating experience;

[0059] The system also has remote monitoring and fault diagnosis functions. Users can view key information such as the flight status, battery power, and camera 15 working status of the drone in real time through the mobile control terminal 2. Once an abnormality or fault is detected, the system will immediately issue an alarm and provide corresponding solutions or suggestions;

[0060] The system supports data recording and analysis functions, and can record data such as the flight path, operation time, crop growth status, etc. of each operation, and provide users with decision-making support for agricultural plant protection through data analysis.

[0061] Specifically, the design of the drone body 1 and the mobile control terminal 2 pays more attention to modularization. For example, the main board 131 inside the drone body 1 integrates multiple functional modules such as an editable logic controller 1311, a navigation module 1312, an Internet of Things module 1313, a video processing module 1314, a SIM card slot 1315 and a charging module 1316. These modules are both independent of each other and work closely together to form a highly integrated system. The modular design makes it easier to maintain and upgrade the system. When a module fails or needs to be upgraded, only the corresponding module needs to be replaced or upgraded without making large-scale changes to the entire system.

[0062] At the same time, a path planning module and a user interface module are introduced. These two modules work together to realize the real-time perception and autonomous decision-making of the UAV on the farmland environment. The path planning module is based on the high-precision three-dimensional positioning and attitude information provided by the navigation module 1312, combined with environmental data such as farmland maps, crop distribution, and obstacle locations, and quickly generates the optimal flight path for the UAV operation through complex algorithms. The user interface module presents intuitive information to the user through the touch screen 23 of the mobile control terminal 2, and provides a path editing tool so that the user can adjust or customize the flight path as needed. In addition, the system also has a real-time obstacle avoidance function. Through the images or videos captured by the camera 15, combined with the image recognition and target detection technology of the video processing module 1314, it can detect and avoid obstacles on the flight path in real time, and not only supports preset routes, but also allows users to adjust the flight path in real time through the user interface module, realizing a more flexible operation strategy. The user can also issue voice commands to the system through the microphone 21, such as starting the operation, pausing the operation, returning to the base, etc. The system can recognize and respond to these commands, providing a more convenient operation experience.

[0063] In the present invention, the highly integrated and modular design improves the reliability and stability of the system, reduces the difficulty and cost of maintenance and upgrading, and makes the system easier to expand and upgrade to adapt to new technologies and new needs that may appear in the future; the real-time environmental perception and autonomous decision-making capabilities improve the efficiency and accuracy of the UAV operation, reduce energy consumption and labor costs, and enable the UAV to flexibly adjust the operation strategy according to the actual situation of the farmland, thereby improving the flexibility and adaptability of the operation; the user can easily control the UAV through the touch screen 23 and voice commands, which improves the convenience of operation and user satisfaction, and displays the current position of the UAV, preset path, farmland map, operation progress and other information in real time, so that the user can intuitively understand the operation of the UAV; the remote monitoring and fault diagnosis functions improve the safety and reliability of the system, reduce the probability and impact of faults, and once an abnormality or fault is detected, the system will immediately issue an alarm and give corresponding solutions or suggestions, which helps users take measures to solve the problem in time; the data recording and analysis functions provide rich data support, which helps users understand the crop growth status, optimize the operation strategy, and improve the efficiency and effect of agricultural plant protection. Through data analysis, it can also provide users with decision support for agricultural plant protection and help users make more informed decisions.

[0064] Embodiment 2

[0065] In order to realize modular mechanism design and control the drone through mobile control terminal, Figures 1 to 4 As shown, in this embodiment, the drone body 1 also includes a power assembly 111, which includes at least one motor and a propeller matched therewith. The power assembly 111 is installed on the four corners of the frame 11 to provide power for the drone to take off and fly.

[0066] In the above technical solution, power components 111 are installed on the four corners of the frame 11, and each power component 111 includes at least one motor and a propeller matched therewith. This layout design not only provides stable flight support, but also ensures the balance and maneuverability of the drone during operation. Through the power distribution at the four corners, the drone can adjust its flight attitude more flexibly, adapt to the complex farmland environment, and at the same time improve the stability and safety of the flight.

[0067] Furthermore, a top plate 12 is fixedly installed on the upper end surface of the main cabin 13, and the top plate 12 is fixedly installed on the top of the main cabin 13 by connecting bolts. A hole is opened on the upper end surface of the top plate 12 and a solar power supply component 121 is embedded and installed. The solar power supply component 121 includes multiple solar panels and a battery management system, which is used to supplement or replace the power supply of the internal battery of the drone when there is sufficient sunlight. The battery management system is used to monitor the battery status, optimize the charging and discharging process, and ensure continuous power supply of the drone during operation.

[0068] In the above technical solution, a solar power supply component 121 is embedded and installed on the top of the main cabin 13 through the top plate 12. The component consists of multiple solar panels and a battery management system. This design enables the drone to use solar energy to charge or replenish electricity when there is sufficient sunlight, thereby extending the operation time of the drone. The battery management system is responsible for monitoring the battery status, optimizing the charging and discharging process, and ensuring that the drone always maintains a stable power supply during operation. This green and sustainable way of energy utilization not only reduces the operating cost of the drone, but also improves its environmental adaptability.

[0069] Furthermore, the navigation module 1312 integrates the Beidou positioning system and the inertial navigation system to provide high-precision three-dimensional positioning and attitude information of the drone, and the Internet of Things module 1313 provides stable and high-speed data transmission between the drone and the mobile control terminal 2.

[0070] In the above technical solution, the navigation module 1312 integrates the Beidou positioning system and the inertial navigation system to provide the UAV with high-precision three-dimensional positioning and attitude information. This integrated design enables the UAV to locate its position more accurately and maintain a stable attitude during flight. This is crucial for agricultural plant protection operations because it ensures that the UAV can perform precise operations according to the preset path and altitude, improving the efficiency and accuracy of the operation.

[0071] Furthermore, the video processing module 1314 is connected to the camera 15 and is used to capture images or videos of the farmland in real time and perform preprocessing, such as image enhancement and target detection.

[0072] In the above technical solution, the video processing module 1314 is connected to the camera 15, which can capture images or videos of farmland in real time and perform preprocessing on them, such as image enhancement and target detection. This real-time processing capability enables the drone to quickly identify crops and obstacles in the farmland during the operation, providing strong support for subsequent precision operations. At the same time, through image enhancement technology, the drone can also maintain clear image quality in low light or complex environments, further improving the accuracy and reliability of the operation.

[0073] Furthermore, the control buttons 22 include take-off and landing buttons and a camera 15 switch button, which are used to perform key operations of the drone.

[0074] In the above technical solution, the control buttons 22 on the mobile control terminal 2 include take-off and landing buttons and a camera 15 switch button. The design of these buttons enables the user to conveniently perform key operations of the drone. Through simple key operations, the user can quickly start or stop the flight of the drone, and control the switch of the camera 15, thereby achieving precise control of the drone operation. This convenient operation method not only improves the user experience, but also ensures the safety and stability of the drone during operation.

[0075] Furthermore, the crank 24 has a sensitive sensor that can accurately sense the user's operating intention and transmit the operating instructions to the mainboard 131 of the drone body 1 for execution.

[0076] In the above technical solution, the crank 24 has a sensitive sensor that can accurately sense the user's operating intention and transmit the operating instructions to the mainboard 131 of the drone body 1 for execution. This design allows the user to control the flight direction and speed of the drone through subtle shaking gestures, achieving precise control of the drone operation. At the same time, the sensitivity and accuracy of the crank 24 also improve the user's operating efficiency in complex environments, allowing the drone to better adapt to various farmland environments and operating requirements.

[0077] Embodiment 3

[0078] In order to achieve precise, intelligent operation and efficient management of agricultural plant protection drones, Figures 5 to 7 As shown, in this embodiment, the system also includes an environment perception module and an autonomous decision-making module:

[0079] The environment perception module collects various data of the farmland environment in real time by integrating a temperature and humidity sensor or a light sensor and cooperating with a camera 15, including but not limited to the temperature and humidity of the farmland, light intensity, soil moisture, and crop growth status;

[0080] The autonomous decision-making module, based on the data collected by the environmental perception module and combined with the preset agricultural plant protection model and algorithm, can autonomously determine whether the crops need to be treated with pesticides, fertilizers or other plant protection measures, and adjust the drone's operating parameters and path planning accordingly, to achieve more accurate and intelligent agricultural plant protection operations;

[0081] The system also has the ability to learn, and can continuously accumulate and analyze data and experience in agricultural plant protection operations, optimize autonomous decision-making models and algorithms, and improve the system's intelligence level and operational efficiency.

[0082] Furthermore, the system also includes a remote update module and a job report generation module:

[0083] Remote update module, allowing users to remotely update the system's software, algorithms, map data, etc. through the mobile control terminal 2, ensuring that the system always maintains the latest functions and performance;

[0084] The operation report generation module can automatically generate detailed operation reports based on the data of each operation of the drone, including but not limited to operation time, location, crop type, amount of pesticides and fertilizers applied, operation efficiency and operation effect;

[0085] The system also supports multi-user management and permission setting functions, allowing different users to view, edit or export job reports according to their roles and permissions, improving the flexibility and security of the system.

[0086] When the present invention is used,

[0087] 1. Preparation of UAV equipment:

[0088] Ensure that all parts of the drone body 1 are well installed, the power assembly 111 is normal, and the battery is fully charged. Check whether the camera 15 and the solar power supply assembly 121 are working properly. Wirelessly connect the drone body 1 to the mobile control terminal 2 through the Internet of Things module 1313. Confirm that the connection is successful on the touch screen 23 of the mobile control terminal 2, and display the drone status.

[0089] 2. Farmland environment perception and path planning:

[0090] Start the drone, collect data such as temperature and humidity, light intensity, soil moisture, and crop growth status of the farmland through the camera 15 and the environmental perception module, view the farmland map, crop distribution, and obstacle locations through the user interface module on the mobile control terminal 2, use the path planning module to combine environmental data and the drone's high-precision three-dimensional positioning and attitude information to quickly generate the optimal flight path, and the user can adjust or customize the flight path as needed through the path editing tool on the touch screen 23;

[0091] 3. UAV operations:

[0092] By pressing the take-off button on the mobile control terminal 2, the drone body 1 is lifted off under the propulsion of the power component 111, and the drone flies along a preset path. The camera 15 captures images or videos of the farmland in real time and performs preprocessing through the video processing module 1314. According to the data from the environmental perception module and the autonomous decision-making module, the drone autonomously determines whether it is necessary to apply pesticides, fertilizers or take other plant protection measures, and adjusts the operation parameters. Through the image recognition and target detection technology of the camera 15 and the video processing module 1314, obstacles on the flight path are detected and avoided in real time. The user can issue voice commands to the system through the microphone 21, such as starting the operation, pausing the operation, returning to the base, etc.

[0093] 4. Remote monitoring and fault diagnosis:

[0094] The user can view the flight status, battery power, camera 15 working status and other key information of the drone in real time through the touch screen 23 of the mobile control terminal 2. Once an abnormality or failure is detected, the system will immediately issue an alarm and display the corresponding solution or suggestion on the touch screen 23;

[0095] 5. Work report generation and data analysis:

[0096] After the operation is completed, the operation report generation module automatically generates a detailed operation report based on the data of each operation of the drone. The user can view the operation report through the mobile control terminal 2 and perform data analysis to provide decision support for agricultural plant protection;

[0097] 6. System update and maintenance:

[0098] Through the remote update module, users can remotely update the system's software, algorithms, map data, etc., and regularly perform maintenance and upkeep on the drone and mobile control terminal 2 to ensure that the system is always in the best working condition.

Claims

1. An agricultural plant protection drone device, comprising a drone body (1) and a mobile control terminal (2) matching the drone body (1), characterized in that: The drone body (1) comprises a frame (11), a mainframe compartment (13) is fixedly mounted in the middle of the upper end surface of the frame (11), a mainboard (131) is fixedly mounted in the mainframe compartment (13), a camera (15) is fixedly mounted in the middle of the bottom of the frame (11), and a base frame (14) is fixedly mounted at the bottom of the frame (11) outside the camera (15); The mainboard (131) is provided with an editable logic controller (1311), a navigation module (1312), an Internet of Things module (1313), a video processing module (1314), a SIM card slot (1315) and a charging module (1316); The drone body (1) is wirelessly connected to the mobile control terminal (2) via the Internet of Things module (1313); A touch screen (23) is embedded in the middle of the upper end surface of the mobile control terminal (2). The touch screen (23) can display images or videos captured by the camera (15) in real time, as well as the flight parameters and operation status of the drone, so as to facilitate users to perform remote monitoring and path planning. A crank (24) is provided on the upper end surface of the mobile control terminal (2) on one side of the touch screen (23), and a microphone (21) and a control button (22) are provided on the upper end surface of the mobile control terminal (2) on the other side of the touch screen (23).

2. The agricultural plant protection drone device according to claim 1, characterized in that: The drone body (1) further comprises a power assembly (111), the power assembly (111) comprising at least one motor and a propeller matched therewith, the power assembly (111) being mounted on the four corners of the frame (11) and being used to provide power for the drone to take off and fly.

3. The agricultural plant protection drone device according to claim 1, characterized in that: The upper end surface of the main engine compartment (13) is fixedly mounted with a top plate (12), which is fixedly mounted on the top of the main engine compartment (13) by connecting bolts. The upper end surface of the top plate (12) is opened with a hole and a solar power supply component (121) is embedded and mounted thereon. The solar power supply component (121) comprises a plurality of solar panels and a battery management system, which is used to supplement or replace the power supply of the battery inside the drone when there is sufficient sunlight. The battery management system is used to monitor the battery status, optimize the charging and discharging process, and ensure the continuous power supply of the drone during operation.

4. The agricultural plant protection drone device according to claim 1, characterized in that: The navigation module (1312) integrates the Beidou positioning system and the inertial navigation system to provide high-precision three-dimensional positioning and attitude information for the drone, and the Internet of Things module (1313) provides stable and high-speed data transmission between the drone and the mobile control terminal (2).

5. The agricultural plant protection drone device according to claim 1, characterized in that: The video processing module (1314) is connected to the camera (15) and is used to capture images or videos of farmland in real time and perform pre-processing on them, such as image enhancement and target detection.

6. The agricultural plant protection drone device according to claim 1, characterized in that: The control buttons (22) include take-off and landing buttons and a camera (15) switch button, and are used to perform key operations of the drone.

7. The agricultural plant protection drone device according to claim 1, characterized in that: The crank (24) has a sensitive sensor, which can accurately sense the user's operating intention and transmit the operating instructions to the mainboard (131) of the drone body (1) for execution.

8. A rapid path planning system for agricultural plant protection drones, characterized in that: The system integrates the agricultural plant protection UAV device described in claims 1 to 7, and additionally includes a path planning module and a user interface module; The path planning module, based on the high-precision three-dimensional positioning and attitude information provided by the navigation module (1312), combines the farmland map, crop distribution, obstacle location and other environmental data to quickly generate the optimal flight path for the UAV operation through a complex algorithm to maximize the operation efficiency and reduce energy consumption; The user interface module is presented to the user through the touch screen (23) of the mobile control terminal (2), allowing the user to intuitively view the current position of the drone, the preset path, the farmland map, the operation progress and other information, and provides a path editing tool so that the user can adjust or customize the flight path as needed; The system also has a real-time obstacle avoidance function. By using the images or videos captured by the camera (15) and the image recognition and target detection technology of the video processing module (1314), it is possible to detect and avoid obstacles on the flight path in real time, thereby ensuring the safe operation of the drone. The user can issue voice commands to the system through the microphone (21), such as starting an operation, pausing an operation, returning to the base, etc. The system can recognize and respond to these commands, providing a convenient operating experience; The system also has remote monitoring and fault diagnosis functions. Users can view key information such as the flight status, battery power, and camera (15) working status of the drone in real time through the mobile control terminal (2). Once an abnormality or fault is detected, the system will immediately issue an alarm and provide corresponding solutions or suggestions. The system supports data recording and analysis functions, and can record data such as the flight path, operation time, crop growth status, etc. of each operation, and provide users with decision support for agricultural plant protection through data analysis.

9. The agricultural plant protection UAV path rapid planning system according to claim 8, characterized in that: The system also includes an environment perception module and an autonomous decision-making module: The environment sensing module collects various data of the farmland environment in real time by integrating a temperature and humidity sensor or a light sensor and cooperating with a camera (15), including but not limited to the temperature and humidity of the farmland, light intensity, soil moisture, and crop growth conditions; The autonomous decision-making module, based on the data collected by the environmental perception module and combined with the preset agricultural plant protection model and algorithm, autonomously determines whether the crops need to be treated with pesticides, fertilizers or other plant protection measures, and adjusts the operation parameters and path planning of the drone accordingly, so as to achieve more accurate and intelligent agricultural plant protection operations; The system also has learning capabilities, and can continuously accumulate and analyze data and experience in agricultural plant protection operations, optimize autonomous decision-making models and algorithms, and improve the system's intelligence level and operational efficiency.

10. The agricultural plant protection UAV path rapid planning system according to claim 8, characterized in that: The system also includes a remote update module and a job report generation module: The remote update module allows the user to remotely update the system's software, algorithms, map data, etc. through the mobile control terminal (2), ensuring that the system always maintains the latest functions and performance; The operation report generation module can automatically generate a detailed operation report based on the data of each operation of the drone, including but not limited to operation time, location, crop type, amount of pesticides and fertilizers applied, operation efficiency and operation effect; The system also supports multi-user management and permission setting functions, allowing different users to view, edit or export job reports according to their roles and permissions, thereby improving the flexibility and security of the system.

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