Bursaphelenchus xylophilus disease unmanned aerial vehicle monitoring and positioning device and positioning method

Abstract

The pine wood nematode disease unmanned aerial vehicle monitoring and positioning device comprises an unmanned aerial vehicle body, a mounting block is mounted at the bottom of the unmanned aerial vehicle body, and an auxiliary flight stabilizing structure for improving flight stability by means of airflow is arranged in the mounting block; the bottom of the mounting block is provided with a plugging structure for cooperating with the auxiliary flight stabilization structure, and the bottom of the mounting block is connected with a box body in the middle of the plugging structure. According to the pine wood nematode disease unmanned aerial vehicle monitoring and positioning device and method, cooperative work of the flight stabilizing structure and the blocking and triggering structure is assisted, an airflow channel is optimized, the flight stability of the unmanned aerial vehicle under the conditions of complex terrains and severe weather is enhanced, energy consumption is reduced, and the endurance time is prolonged. In addition, the device is provided with a wireless communication module and a network adapter, and collected and processed data can be transmitted to a ground control station or a cloud server in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of pine wilt disease monitoring equipment, and particularly to a drone monitoring and positioning device and a positioning method for pine wilt disease. Background Art

[0002] Pine wilt disease is a devastating disease of pine trees caused by Bursaphelenchus xylophilus, which is mainly transmitted by vector insects such as Monochamus alternatus, resulting in the rapid death of pine trees. This disease spreads rapidly and is difficult to control, posing a serious threat to forest ecosystems and timber resources. Early detection and accurate positioning of diseased trees are key links in the effective prevention and control of pine wilt disease.

[0003] In the process of monitoring pine wilt disease, detecting by drones has the advantages of a wide monitoring range, high efficiency, and low cost. Therefore, drones are widely used for the monitoring and positioning of pine wilt disease. However, pine forests are often planted in patches between large and small mountains of different heights. These complex terrains pose many challenges to the flight of drones. When a drone flies in a forest area, especially when flying from one small mountain to the other side of the mountain or to another higher mountain, it often directly encounters strong flowing air currents on the mountain. These strong air currents will cause the drone to shake, jolt and other unstable phenomena, seriously affecting the flight stability of the drone and the accuracy of monitoring data. In addition, this unstable flight state may also cause the drone to deviate from the preset flight path, increasing flight risks and reducing monitoring efficiency.

[0004] Most of the existing drone monitoring devices lack an effective flight stabilization mechanism and cannot maintain a stable flight attitude under complex terrains and strong air current conditions. This not only affects the continuity and reliability of monitoring data, but also limits the application range of drones in the monitoring of pine wilt disease.

[0005] Therefore, there is an urgent need for a monitoring device that can effectively improve the flight stability of drones under complex terrains and strong air current conditions to ensure the smooth progress of monitoring tasks and improve the efficiency and accuracy of pine wilt disease monitoring. Summary of the Invention

[0006] The technical solution of the present invention aims at the technical problem that the existing technical solutions are too single, and provides a drone monitoring and positioning device and a positioning method for pine wilt disease that are significantly different from the existing technical solutions to solve the problems raised in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solution: An unmanned aerial vehicle (UAV) monitoring and positioning device for pine wilt disease, comprising a UAV body. An installation block is installed at the bottom of the UAV body, and an auxiliary flight stability structure for improving flight stability by means of air flow is provided in the installation block. A sealing structure for cooperating with the auxiliary flight stability structure is installed at the bottom of the installation block. A box body is connected in the middle of the sealing structure at the bottom of the installation block, and a triggering structure for triggering and controlling the sealing structure is provided in the box body. A box body is installed at the bottom of the box body, and a monitoring device for shooting and monitoring is installed on the box body. The monitoring device is composed of a visible light camera, a multispectral camera, a thermal imaging camera and a lidar. A data processing and analysis device and a communication transmission device are provided in the box body. The data processing and analysis device is composed of an edge AI high-performance processor and a memory, and the communication transmission device is composed of a wireless communication module and a network adapter.

[0008] Preferably, the auxiliary flight stability structure includes air inlets, diversion grooves, branch grooves, axial flow fans and openings. One air inlet is opened on each of the two symmetric sides of the installation block, and each air inlet is connected to a diversion groove opened in the installation block. Both ends of each diversion groove communicate with a branch groove opened on both sides of the installation block. The end of each branch groove penetrates through both sides of the installation block, and an axial flow fan is installed on each side of the installation block corresponding to the end of the branch groove. An opening penetrating the bottom of the installation block is opened in each of the diversion groove and the branch groove.

[0009] Preferably, the windward surface of the axial flow fan faces away from the installation block, and the openings are equally angularly distributed about the center line of the installation block.

[0010] Preferably, the sealing structure includes concave frames, magnetic baffles and return springs. At least four concave frames are connected to the bottom of the installation block corresponding to the openings, and a magnetic baffle is slidably engaged in each concave frame. Each magnetic baffle is in contact with the corresponding opening, and a return spring is connected between each magnetic baffle and the corresponding concave frame.

[0011] Preferably, the triggering structure includes an empty slot, a buffer area, a blocking slot, a blocking spring, a blocking block and a magnetic sphere. An empty slot is opened in the box body, and buffer areas are equally angularly arranged about its center line in the empty slot. Blocking slots are opened on both sides of each end in the empty slot. A blocking spring is connected in each blocking slot, and the end of each blocking spring is connected to a blocking block. The end of the blocking block penetrates through the blocking slot and is located in the empty slot. A magnetic sphere is provided in the empty slot.

[0012] Preferably, the empty slot is arranged in a "cross" shape structure, the magnetic poles of the magnetic sphere and the magnetic baffle are the same poles, and the ends of the blocking blocks located on both sides of the inner end of the empty slot are arranged in an arc shape.

[0013] S1. Flight Planning: Plan the flight route of the drone according to the geographical location of the forest area and the monitoring requirements.

[0014] S2. Data Acquisition: The drone flies according to the preset route and collects images, videos and three-dimensional structure data of the forest area through visible light cameras, multispectral cameras, thermal imaging cameras and lidar.

[0015] Visible light camera: Used to take high-definition images, and initially identify dead trees infected with pine wilt disease by analyzing the color and morphological characteristics of the trees.

[0016] Multispectral camera: Used to obtain the reflection information of trees in different spectral bands, and more accurately identify trees infected with pine wilt disease by analyzing spectral characteristics.

[0017] Thermal imaging camera: Used to detect physiological characteristics such as the transpiration rate of trees, and assist in judging whether the trees are infected with pine wilt disease.

[0018] Lidar (LiDAR): Used to obtain three-dimensional structure information of trees, including tree height, crown shape, etc., and assist in accurately locating diseased trees.

[0019] S3. Data Processing: Use an edge AI high-performance processor to process the collected data in real time, identify dead trees infected with pine wilt disease through AI recognition algorithms, and obtain the precise location information of diseased trees in combination with the positioning module.

[0020] Edge AI high-performance processor: Used to process data such as images and videos collected by the drone in real time, support large-scale video analysis and the operation of AI recognition algorithms, quickly identify dead trees infected with pine wilt disease and make annotations.

[0021] Positioning module: Integrated with GPS and Beidou satellite positioning systems, used to obtain the precise location information of the drone in real time.

[0022] S4. Data Transmission and Analysis: Transmit the processed data to the ground control station or cloud server through the wireless communication module for further analysis and generate a statistical report on the control tasks of dead and diseased trees.

[0023] Wireless communication module: Used to transmit the data collected by the drone to the ground control station or cloud server in real time.

[0024] S5. Result Feedback: Feed back the monitoring and positioning results to the forestry management department through the network adapter so that prevention and control measures can be taken in a timely manner.

[0025] Network adapter: Used to upload the processed data to the Internet or local area network, facilitating sharing and further analysis between different devices.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: The UAV monitoring and positioning device and method for pine wilt disease can quickly cover large forest areas through the UAV carrying a variety of advanced monitoring devices such as visible light cameras, multispectral cameras, thermal imaging cameras, and lidar, efficiently collect images, videos, and three-dimensional structure data, and accurately locate diseased trees in combination with the GPS and Beidou satellite positioning systems, helping to timely prevent and control. The device adopts multi-sensor fusion technology to obtain data from different dimensions, and uses an edge AI high-performance processor for real-time processing and intelligent recognition, significantly improving the monitoring accuracy and reliability, and reducing the possibility of manual misjudgment and missed judgment; at the same time, the coordinated work of the auxiliary flight stability structure and the plugging and triggering structure optimizes the air flow channel, enhances the flight stability of the UAV under complex terrain and bad weather conditions, reduces energy consumption, and extends the endurance time; in addition, the device is equipped with a wireless communication module and a network adapter, which can transmit the collected and processed data to the ground control station or cloud server in real time and share it among different devices, facilitating the forestry management department to monitor the monitoring progress in real time, make quick decisions and take prevention and control measures, greatly reducing the labor cost and labor intensity, and improving the overall efficiency and scientific nature of pest and disease prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a front view structural schematic diagram of the present invention;

[0028] Figure 2 It is a front view sectional structural schematic diagram of the present invention;

[0029] Figure 3 It is a top view sectional structural schematic diagram of the flow splitter groove of the present invention;

[0030] Figure 4 It is a bottom view structural schematic diagram of the opening of the present invention;

[0031] Figure 5 It is a bottom view structural schematic diagram of the plugging structure of the present invention;

[0032] Figure 6 It is a bottom view sectional structural schematic diagram of the box body of the present invention;

[0033] Figure 7 It is a three-dimensional structural schematic diagram of the axial flow fan of the present invention.

[0034] In the figure: 1, UAV body; 2, mounting block; 3, auxiliary flight stability structure; 301, air outlet; 302, diversion groove; 303, support groove; 304, axial flow fan; 305, opening; 4, sealing structure; 401, concave frame; 402, magnetic baffle; 403, return spring; 5, box body; 6, trigger structure; 601, empty groove; 602, buffer area; 603, blocking groove; 604, blocking spring; 605, blocking block; 606, magnetic sphere; 7, box; 8, monitoring device; 9, data processing and analysis device; 10, communication transmission device. Specific implementation mode

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0036] Please refer to Figures 1-7 , the present invention provides a technical solution: a UAV monitoring and positioning device for pine wilt disease, including a UAV body 1, a mounting block 2, an auxiliary flight stability structure 3, an air outlet 301, a diversion groove 302, a support groove 303, an axial flow fan 304, an opening 305, a sealing structure 4, a concave frame 401, a magnetic baffle 402, a return spring 403, a box body 5, a trigger structure 6, an empty groove 601, a buffer area 602, a blocking groove 603, a blocking spring 604, a blocking block 605, and a magnetic sphere 606. The mounting block 2 is installed at the bottom of the UAV body 1, and the mounting block 2 is provided with an auxiliary flight stability structure 3 that improves flight stability by means of air flow. And a sealing structure 4 for cooperating with the auxiliary flight stability structure 3 is installed at the bottom of the mounting block 2. A box body 5 is connected in the middle of the bottom of the mounting block 2 and located below the sealing structure 4. And a trigger structure 6 for triggering and controlling the sealing structure 4 is provided in the box body 5. A box 7 is installed at the bottom of the box body 5, and a monitoring device 8 for shooting and monitoring is installed on the box 7. And the monitoring device 8 is composed of a visible light camera, a multispectral camera, a thermal imaging camera, and a lidar LiDAR. A data processing and analysis device 9 and a communication transmission device 10 are provided in the box 7. And the data processing and analysis device 9 is composed of an edge AI high-performance processor and a memory. And the communication transmission device 10 is composed of a wireless communication module and a network adapter.

[0037] The auxiliary flight stabilization structure 3 includes an air outlet 301, a flow splitting groove 302, a branch groove 303, an axial flow fan 304, and an opening 305. On each of the symmetric two sides of the mounting block 2, an air outlet 301 is provided, and each air outlet 301 is connected to a flow splitting groove 302 opened in the mounting block 2. And at both ends of each flow splitting groove 302, a branch groove 303 opened on both sides of the mounting block 2 is communicated. The end of each branch groove 303 penetrates through both sides of the mounting block 2, and an axial flow fan 304 is installed at the end of each branch groove 303 on both sides of the mounting block 2. An opening 305 penetrating through the bottom of the mounting block 2 is provided in each of the flow splitting groove 302 and the branch groove 303.

[0038] The windward surface of the axial flow fan 304 faces away from the mounting block 2, and the openings 305 are equally angularly distributed with respect to the center line of the mounting block 2.

[0039] The blocking structure 4 includes a concave frame 401, a magnetic baffle 402, and a return spring 403. At least four concave frames 401 are connected to the bottom of the mounting block 2 corresponding to the openings 305, and a magnetic baffle 402 is engaged and slidably connected in each concave frame 401. And each magnetic baffle 402 is in contact with the corresponding opening 305, and a return spring 403 is connected between each magnetic baffle 402 and the corresponding concave frame 401.

[0040] The triggering structure 6 includes an empty slot 601, a buffer area 602, a blocking slot 603, a blocking spring 604, a blocking block 605, and a magnetic sphere 606. An empty slot 601 is opened in the box body 5, and buffer areas 602 are equally angularly arranged in the empty slot 601 with respect to its center line. And blocking slots 603 are opened on both sides of each end in the empty slot 601. A blocking spring 604 is connected in each blocking slot 603, and the end of each blocking spring 604 is connected to a blocking block 605. And the end of the blocking block 605 penetrates through the blocking slot 603 and is located in the empty slot 601, and a magnetic sphere 606 is provided in the empty slot 601.

[0041] The empty slot 601 is arranged in a "cross" - shaped structure. The magnetic poles of the magnetic sphere 606 and the magnetic baffle 402 are of the same pole. The ends of the blocking blocks 605 located on both sides of the inner end of the empty slot 601 are both arranged in an arc - shaped structure.

[0042] A positioning method for a pine wilt disease UAV monitoring and positioning device, characterized by comprising the following steps:

[0043] S1. Flight planning: According to the geographical location and monitoring requirements of the forest area, plan the flight route of the UAV;

[0044] S2. Data collection: The drone flies along a preset route and collects images, videos and three-dimensional structure data of the forest area through a visible light camera, a multispectral camera, a thermal imaging camera and a lidar. Among them, the visible light camera is used to take high-definition images, and by analyzing the color and morphological characteristics of the trees, the dead trees infected with pine wood nematode disease are initially identified. The multispectral camera is used to obtain the reflection information of the trees in different spectral bands, and by analyzing the spectral characteristics, the trees infected with pine wood nematode disease can be more accurately identified. The thermal imaging camera is used to detect the physiological characteristics such as the transpiration rate of the trees to assist in judging whether the trees are infected with pine wood nematode disease. The lidar is used to obtain the three-dimensional structure information of the trees, including tree height, crown shape, etc., to assist in accurately positioning the diseased trees.

[0045] S3. Data processing: Use an edge AI high-performance processor to process the collected data in real time, identify the dead trees infected with pine wood nematode disease through an AI recognition algorithm, and combine the positioning module to obtain the accurate position information of the diseased trees. Among them, the edge AI high-performance processor is used to process the image, video and other data collected by the drone in real time, support the operation of large-scale video analysis and AI recognition algorithms, quickly identify the dead trees infected with pine wood nematode disease and mark them. The positioning module integrates the GPS and Beidou satellite positioning systems and is used to obtain the accurate position information of the drone in real time.

[0046] S4. Data transmission and analysis: Transmit the processed data to the ground control station or cloud server through a wireless communication module for further analysis and generate a statistical report on the control tasks of dead and diseased trees. Among them, the wireless communication module is used to transmit the data collected by the drone to the ground control station or cloud server in real time.

[0047] S5. Result feedback: Feed back the monitoring and positioning results to the forestry management department through a network adapter so that prevention and control measures can be taken in a timely manner. Among them, the network adapter is used to upload the processed data to the Internet or local area network for easy sharing and further analysis between different devices.

[0048] Example 1

[0049] In a pine forest area, the device and method of the present invention are used for monitoring pine wood nematode disease. First, according to the geographical location and monitoring requirements of the forest area, the flight route of the drone is planned. The drone flies along the preset route and collects images, videos and three-dimensional structure data of the forest area through a visible light camera, a multispectral camera, a thermal imaging camera and a lidar. Use an edge AI high-performance processor to process the collected data in real time, identify the dead trees infected with pine wood nematode disease through an AI recognition algorithm, and combine the positioning module to obtain the accurate position information of the diseased trees. Transmit the processed data to the ground control station or cloud server through a wireless communication module for further analysis and generate a statistical report on the control tasks of dead and diseased trees. Finally, feed back the monitoring and positioning results to the forestry management department so that prevention and control measures can be taken in a timely manner.

[0050] Example 2

[0051] In a pine forest area, the device and method of the present invention are used for monitoring pine wilt disease; during the flight of the drone, image data is collected through a visible light camera and a multispectral camera, the physiological characteristics of trees are detected through a thermal imaging camera, and the three-dimensional structure information of trees is obtained through lidar; the edge AI high-performance processor is used to process the collected data in real time, and the dead trees infected with pine wilt disease are identified through the AI recognition algorithm, and the precise position information of the diseased trees is obtained in combination with the positioning module; the processed data is transmitted to the ground control station or the cloud server through the wireless communication module for further analysis and generation of a statistical report on the control tasks of dead and diseased trees; finally, the monitoring and positioning results are fed back to the forestry management department for timely prevention and control measures.

[0052] Working principle: According to Figure 1 As shown in the figure, first, during the process of monitoring pine wilt disease in a forest area, the drone body 1 is controlled to fly to a high altitude above the forest area. Through the settings of the monitoring device 8, the data processing and analysis device 9, and the communication transmission device 10, monitoring is carried out as in the above embodiment. After monitoring a forest area, when it is necessary to fly to the other side of the mountain or fly to another mountain that is slightly higher or lower, due to the influence of the airflow between the mountains, the drone jolts. At this time, this airflow will enter the diversion groove 302 through the air inlet 301 and then enter the branch groove 303, and then pass through the branch groove 303 to drive the axial flow fan 304 to rotate, initially assisting the flight of the drone body 1;

[0053] When the drone jolts and tilts, it tilts to one side. Under the action of gravity, the magnetic sphere 606 in the empty groove 601 will roll towards the tilted side, and its flow velocity is buffered in the buffer area 602. The sphere 606 passes through the buffer area 602 and contacts the blocking block 605, and is further limited by the blocking block 605. If the tilt angle is relatively large, under the action of the impact force and the gravity of the sphere, which is greater than the force of the blocking spring 604, the blocking block 605 is pushed to press the blocking spring 604 and move into the blocking groove 603. The magnetic sphere 606 rolls to the tilted end of the "cross"-shaped empty groove 601. At this time, the magnetic sphere 606 approaches the magnetic baffle 402 on the tilted side. Under the action of the repulsion of the same poles of the magnetic poles, the magnetic baffle 402 moves on the concave frame 401, and the return spring 403 is compressed by force. The magnetic baffle 402 disengages from the occlusion of the opening 305 on this side, and the airflow in the diversion groove 302 will pass through this opening 305, generating an upward buoyancy on this side to assist it in leveling horizontally. The same principle applies to the other sides. This is the working principle of the pine wilt disease drone monitoring and positioning device and the positioning method.

[0054] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An unmanned aerial vehicle monitoring and positioning device for pine wilt disease, comprising an unmanned aerial vehicle body (1), characterized in that: A mounting block (2) is installed at the bottom of the UAV body (1). An auxiliary flight stability structure (3) for improving flight stability by means of air flow is provided in the mounting block (2). A sealing structure (4) for cooperating with the auxiliary flight stability structure (3) is installed at the bottom of the mounting block (2). A box body (5) is connected in the middle of the bottom of the mounting block (2) under the sealing structure (4). A triggering structure (6) for triggering and controlling the sealing structure (4) is provided in the box body (5). A box body (7) is installed at the bottom of the box body (5). A monitoring device (8) for shooting and monitoring is installed on the box body (7). The monitoring device (8) is composed of a visible light camera, a multispectral camera, a thermal imaging camera, and a lidar (LiDAR). A data processing and analysis device (9) and a communication and transmission device (10) are provided in the box body (7). The data processing and analysis device (9) is composed of an edge AI high-performance processor and a memory. The communication and transmission device (10) is composed of a wireless communication module and a network adapter.

2. The unmanned aerial vehicle monitoring and positioning device for pine wilt disease according to claim 1, characterized in that: The auxiliary flight stability structure (3) includes an air inlet (301), a diversion groove (302), a branch groove (303), an axial flow fan (304), and an opening (305). An air inlet (301) is provided on each of the symmetric sides of the mounting block (2). Each air inlet (301) is connected to a diversion groove (302) provided in the mounting block (2). Two branch grooves (303) provided on both sides of the mounting block (2) are communicated with both ends of each diversion groove (302). The end of each branch groove (303) penetrates through both sides of the mounting block (2). An axial flow fan (304) is installed at the end of each branch groove (303) on both sides of the mounting block (2). An opening (305) penetrating through the bottom of the mounting block (2) is provided in each of the diversion groove (302) and the branch groove (303).

3. The unmanned aerial vehicle monitoring and positioning device for pine wilt disease according to claim 2, wherein: The windward side of the axial flow fan (304) faces away from the mounting block (2). The openings (305) are equally angularly distributed with respect to the center line of the mounting block (2).

4. The drone monitoring and positioning device for pine wilt disease according to claim 2, wherein: The sealing structure (4) includes a concave frame (401), a magnetic baffle (402), and a return spring (403). At least four concave frames (401) are connected to the bottom of the mounting block (2) corresponding to the openings (305). A magnetic baffle (402) is snap-fitted and slidably connected in each concave frame (401). Each magnetic baffle (402) is in contact with the corresponding opening (305). A return spring (403) is connected between each magnetic baffle (402) and the corresponding concave frame (401).

5. The unmanned aerial vehicle monitoring and positioning device for pine wilt disease according to claim 1, characterized in that: The trigger structure (6) includes an empty slot (601), a buffer area (602), a blocking slot (603), a blocking spring (604), a blocking block (605), and a magnetic sphere (606). An empty slot (601) is provided in the box body (5), and buffer areas (602) are provided in the empty slot (601) at equal angles with respect to its center line. Blocking slots (603) are provided on both sides of each end in the empty slot (601). A blocking spring (604) is connected in each blocking slot (603), and a blocking block (605) is connected to the end of each blocking spring (604). The end of the blocking block (605) penetrates the blocking slot (603) and is located in the empty slot (601). A magnetic sphere (606) is provided in the empty slot (601).

6. The unmanned aerial vehicle monitoring and positioning device for pine wilt disease according to claim 5, characterized in that: The empty slot (601) is arranged in a "cross" - shaped structure. The magnetic poles of the magnetic sphere (606) and the magnetic force baffle (402) are of the same polarity. The two sides of the end of the blocking block (605) located in the empty slot (601) are arranged in an arc shape.

7. A positioning method for a positioning device of an unmanned aerial vehicle for monitoring and positioning pine wilt disease, characterized in that, It includes the following steps: S1. Flight planning: According to the geographical location and monitoring requirements of the forest area, plan the flight route of the unmanned aerial vehicle (UAV). S2. Data acquisition: The UAV flies according to the preset route and acquires images, videos, and three - dimensional structure data of the forest area through a visible - light camera, a multi - spectral camera, a thermal - imaging camera, and a lidar. Among them, the visible - light camera is used to take high - definition images, and initially identify dead trees infected with pine wood nematode disease by analyzing the color and morphological characteristics of the trees; the multi - spectral camera is used to obtain the reflection information of the trees in different spectral bands, and more accurately identify the trees infected with pine wood nematode disease by analyzing the spectral characteristics; the thermal - imaging camera is used to detect physiological characteristics such as the transpiration rate of the trees to assist in judging whether the trees are infected with pine wood nematode disease; the lidar is used to obtain the three - dimensional structure information of the trees, including tree height, crown shape, etc., to assist in accurately positioning diseased trees. S3. Data processing: Use an edge AI high - performance processor to process the acquired data in real - time, identify dead trees infected with pine wood nematode disease through an AI recognition algorithm, and combine with a positioning module to obtain the precise position information of the diseased trees. Among them, the edge AI high - performance processor is used to process data such as images and videos collected by the UAV in real - time, support large - scale video analysis and the operation of AI recognition algorithms, quickly identify dead trees infected with pine wood nematode disease and mark them; the positioning module integrates GPS and Beidou satellite positioning systems and is used to obtain the precise position information of the UAV in real - time. S4. Data transmission and analysis: Transmit the processed data to the ground control station or cloud server through a wireless communication module for further analysis and generate a statistical report on the control tasks of dead and diseased trees. Among them, the wireless communication module is used to transmit the data collected by the UAV to the ground control station or cloud server in real - time. S5. Result feedback: Feed back the monitoring and positioning results to the forestry management department through a network adapter so that prevention and control measures can be taken in a timely manner. Among them, the network adapter is used to upload the processed data to the Internet or local area network for sharing and further analysis between different devices.

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