Disease and pest monitoring and killing equipment based on Internet of Things image recognition
By using IoT-based image recognition-based pest monitoring and control equipment, the number of pests can be monitored using a mobile frame and recognition camera, and precise extermination can be achieved through insect-attracting lamps and maze arrays. This solves the problem of existing equipment being unable to move and monitor, and achieves efficient pest control.
Patent Information
- Application Number
- CN202423119097.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-11-14
- Estimated Expiration
- 2034-12-18
AI Technical Summary
Existing pest and disease monitoring and control equipment is immobile, resulting in wasted resources and low control efficiency, and it is impossible to monitor the number of pests and diseases in real time.
A pest monitoring and control device based on Internet of Things image recognition was designed. The device consists of a base frame, a mobile frame, and a recognition camera. The device can be moved and accurately positioned by a combination of a drive motor and a threaded sleeve. The recognition camera monitors the number of pests, and the device is then precisely killed by insect-attracting lamps and a maze array.
It enables the mobility of equipment and precise monitoring and pest control, reduces resource waste, improves the efficiency of pest and disease control, and meets environmental protection requirements.
Smart Images

Figure CN223541239U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of agricultural pest control technology, specifically a pest monitoring and control device based on Internet of Things image recognition. Background Technology
[0002] Crop diseases and pests are one of the major agricultural disasters in my country. They are characterized by their wide variety, significant impact, and frequent outbreaks. Traditional methods of controlling crop diseases and pests involve spraying pesticides. However, the spraying of pesticides disrupts the balance of the ecological environment to some extent and does not meet the current environmental protection and pest control needs in my country. Therefore, pest control equipment is needed to directly kill diseases and pests.
[0003] According to the utility model patent application CN217284548U, an insect-attracting and killing device for agricultural pest control is disclosed, including a base, a support base, and a hand-cranked lifting rod. The top of the hand-cranked lifting rod is connected to a support platform. A solar panel is connected to the top of the support platform via a bracket. Two support slides are movably connected to one side of the top of the support platform. The insect-killing device body is movably connected to the two support slides. A cleaning mechanism is installed inside the insect-killing device body.
[0004] While this device is easy to assemble and disassemble, facilitating maintenance, replacement, and cleaning, and can be charged via solar panels for energy efficiency and environmental friendliness, and its cleaning mechanism automatically removes dead insects accumulated inside at regular intervals to ensure continuous normal operation, and its insect-attracting lamps enhance nighttime insect-trapping effectiveness, it is limited to a single fixed location for attracting and killing pests. Furthermore, it cannot monitor the number of pests at that location, forcing the device to be moved to other areas for treatment, resulting in resource waste and reduced pest control efficiency. Therefore, we provide an IoT-based image recognition-based pest monitoring and control device to address these issues. Utility Model Content
[0005] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a pest monitoring and control device based on Internet of Things image recognition.
[0006] To achieve the above objectives, this utility model provides the following technical solution: a pest monitoring and control device based on Internet of Things (IoT) image recognition, comprising a device base frame, a frame moving mechanism above the base frame, and a device main body moving mechanism above the frame moving mechanism. The frame moving mechanism includes two moving frames, and the device main body moving mechanism includes two limiting rods. The sides of the two moving frames that are close to each other are fixedly connected to the two ends of the limiting rods. A recognition camera is fixedly connected to the inner wall of each moving frame. The interiors of the two moving frames are rotatably connected to a common... A rotating screw is used to rotate one of the movable frames. An extension plate is fixedly connected to the front of the rotating screw, and a drive motor is fixedly connected to the upper surface of the extension plate. The end of the rotating screw near the extension plate is fixedly connected to the output end of the drive motor. Each identification camera is connected to the drive motor via a PLC controller. A threaded sleeve is threadedly connected to the outer surface of the rotating screw. Two limiting holes are opened on the front of the threaded sleeve. Each limiting rod is slidably connected inside the limiting hole. A bewitching array is fixedly connected to the bottom surface of the threaded sleeve. An insect-attracting lamp is fixedly connected to the inner top wall of the bewitching array.
[0007] Preferably, a sliding block is fixedly connected to the bottom surface of each of the movable frames, and two limiting blocks are fixedly connected to the upper surface of the equipment base frame. Each limiting block has a limiting groove on its upper surface, and each sliding block is slidably connected to the inside of the limiting groove.
[0008] Preferably, a limiting plate is fixedly connected to the bottom surface of each sliding block, and each is slidably connected inside the limiting groove. The bottom surface of each limiting plate is in contact with the upper surface of the equipment base frame.
[0009] Preferably, a reinforcing rod is fixedly connected to the upper surface of each of the limiting plates, and the ends of the two reinforcing rods that are close to each other are fixedly connected to the sides of the two movable frames that are far apart from each other. A reinforcing rib is fixedly connected to both sides of each movable frame, and the bottom surface of each set of reinforcing ribs is fixedly connected to the upper surface of the sliding block.
[0010] Preferably, a threaded cylinder is fixedly connected to the upper surface of each of the limiting plates, and a drive screw is threadedly connected inside each of the threaded cylinders.
[0011] Preferably, a fixed bearing is fixedly connected to the outer surface of each drive screw, the outer ring of each fixed bearing is fixedly connected to the upper surface of the equipment base, and two rotating motors are fixedly connected to the upper surface of the equipment base, the output end of each rotating motor is fixedly connected to the left end of the drive screw.
[0012] Preferably, two stabilizing bearings are fixedly connected to the outer surface of the rotating screw, and the outer rings of the two stabilizing bearings are respectively fixedly connected to the two movable frames on opposite sides. Beneficial effects
[0013] Compared with existing technologies, this pest and disease monitoring and control device based on IoT image recognition has the following advantages:
[0014] I. This utility model, through the combination of a device base frame, a movable frame, and a recognition camera, enables the movable frame to carry the recognition camera, facilitating the use of the wide-angle recognition camera to photograph crops between the device base frame. The recognition camera, based on IoT-based image recognition, can then identify the number of pests near the crops. By controlling the drive motor fixed on the extension plate, the threaded sleeve can be moved to the desired position. This allows the pest monitoring and control device to be moved to the appropriate location for pest monitoring and control, reducing resource waste and improving the efficiency of pest control.
[0015] II. This utility model, through the combination of a limiting rod, a rotating screw, an extension plate, a drive motor, a threaded sleeve, a limiting hole, a maze tube, and an insect-attracting lamp, utilizes the drive motor to drive the rotating screw to rotate. This allows the maze tube and insect-attracting lamp, fixed under the threaded sleeve, to be moved to a suitable position by cooperating with the rotating screw and the threaded sleeve. The insect-attracting lamp then attracts nearby pests into the maze tube for extermination, further reducing resource waste and improving the efficiency of pest control. Attached Figure Description
[0016] Figure 1 This is a three-dimensional structural diagram of the rotating screw of this utility model;
[0017] Figure 2 This is a three-dimensional structural diagram of the equipment base frame of this utility model;
[0018] Figure 3 This is a three-dimensional structural diagram of the mobile frame of this utility model;
[0019] Figure 4 This is a bottom-view three-dimensional structural diagram of the insect-attracting lamp of this utility model.
[0020] In the diagram: 1. Equipment base frame; 2. Frame moving mechanism; 201. Rotating motor; 202. Drive screw; 203. Fixed bearing; 204. Limiting block; 205. Limiting groove; 206. Limiting plate; 207. Sliding block; 208. Moving frame; 209. Reinforcing rib; 210. Reinforcing rod; 211. Threaded cylinder; 3. Equipment main body moving mechanism; 301. Recognition camera; 302. Limiting rod; 303. Rotating screw; 304. Stabilizing bearing; 305. Drive motor; 306. Extension plate; 307. Threaded sleeve block; 308. Limiting hole; 309. Bewildering array cylinder; 310. Insect-attracting lamp. Detailed Implementation
[0021] The principles and features of this utility model are described below with reference to the accompanying drawings. The examples given are only for explaining this utility model and are not intended to limit the scope of this utility model.
[0022] Reference Figure 1 , Figure 2 and Figure 3 A pest and disease monitoring and control device based on Internet of Things (IoT) image recognition includes a device base frame 1, a frame moving mechanism 2 above the device base frame 1, and a device main body moving mechanism 3 above the frame moving mechanism 2. The frame moving mechanism 2 includes two moving frames 208, each with a sliding block 207 fixedly connected to its bottom surface. Two limiting blocks 204 are fixedly connected to the upper surface of the device base frame 1, each with a limiting groove 205 on its upper surface. Each sliding block 207 is slidably connected to the inside of the limiting groove 205. By sliding the sliding block 207 within the limiting groove 205 on the limiting block 204, the stability of the moving frame 208 sliding on the device base frame 1 can be improved, thus enhancing the movement stability of the pest and disease monitoring and control device.
[0023] Reference Figure 1 and Figure 3 The main moving mechanism 3 of the equipment includes two limiting rods 302. The two moving frames 208 are fixedly connected to the two ends of the two limiting rods 302 on their respective sides. The bottom surface of each sliding block 207 is fixedly connected to a limiting plate 206, and each is slidably connected inside the limiting groove 205. The bottom surface of each limiting plate 206 is in contact with the upper surface of the equipment base frame 1. By using the limiting plate 206 to slide inside the limiting groove 205, the stability of the moving frame 208 sliding on the equipment base frame 1 can be further improved, and the moving stability of the pest monitoring and insecticidal equipment can be further improved.
[0024] Reference Figure 3Each limiting plate 206 has a reinforcing rod 210 fixedly connected to its upper surface. The ends of the two reinforcing rods 210 that are close to each other are fixedly connected to the sides of the two movable frames 208 that are far apart from each other. Each movable frame 208 has a reinforcing rib 209 fixedly connected to both sides. The bottom surface of each set of reinforcing ribs 209 is fixedly connected to the upper surface of the sliding block 207. The reinforcing rods 210 improve the stability of the indirect connection between the limiting plate 206 and the movable frame 208, and the reinforcing ribs 209 enhance the connection stability between the movable frame 208 and the sliding block 207.
[0025] Reference Figure 1 , Figure 2 and Figure 3 Each movable frame 208 has a recognition camera 301 fixedly connected to its inner wall, and each limiting plate 206 has a threaded cylinder 211 fixedly connected to its upper surface. Each threaded cylinder 211 has a drive screw 202 threadedly connected inside. By rotating the drive screw 202, the threaded cylinder 211 fixed to the limiting plate 206 can move along the drive screw 202, thus facilitating the use of this structure to drive the movable frame 208 to move.
[0026] Reference Figure 1 , Figure 2 and Figure 3 Two movable frames 208 are rotatably connected to a rotating screw 303 inside. An extension plate 306 is fixedly connected to the front of one of the movable frames 208. A drive motor 305 is fixedly connected to the upper surface of the extension plate 306. The end of the rotating screw 303 near the extension plate 306 is fixedly connected to the output end of the drive motor 305. Each recognition camera 301 is connected to the drive motor 305 via a PLC controller. A fixed bearing 203 is fixedly connected to the outer surface of each drive screw 202. The outer ring of each fixed bearing 203 is fixedly connected to the upper surface of the equipment base frame 1. Two rotating motors 201 are fixedly connected to the upper surface of the equipment base frame 1. The output end of each rotating motor 201 is fixedly connected to the left end of the drive screw 202. By transmitting synchronous power through the two rotating motors 201, the drive screw 202 can rotate stably outside the fixed bearing 203, thereby stably driving the movable frame 208 to move.
[0027] Reference Figure 1 , Figure 3 and Figure 4The outer surface of the rotating screw 303 is threadedly connected to a threaded sleeve 307. The front of the threaded sleeve 307 has two limiting holes 308. Each limiting rod 302 is slidably connected inside the limiting hole 308. The bottom surface of the threaded sleeve 307 is fixedly connected to a bewitching array 309. The inner top wall of the bewitching array 309 is fixedly connected to an insect-attracting lamp 310. The insect-attracting lamp 310 is an effective tool for killing insects when pesticides are not allowed. The model of the insect-attracting lamp 310 is QNMC-S19. The outer surface of the rotating screw 303 is fixedly connected to two stabilizing bearings 304. The outer rings of the two stabilizing bearings 304 are fixedly connected to the two moving frames 208 on opposite sides. The two stabilizing bearings 304 enable the rotating screw 303 to rotate stably within the two moving frames 208, further improving the stability of driving the bewitching array 309 and the insect-attracting lamp 310 to move along the rotating screw 303.
[0028] Working principle: In use, first connect the rotating motor 201, the recognition camera 301, the drive motor 305, and the insect-attracting lamp 310 to the power supply. When using this IoT-based image recognition pest monitoring and control device to monitor and kill pests in farmland, first manually place the device on the ground and then use tools to install it around the farmland where pest monitoring and control are needed. Next, by controlling the power supply of the rotating motor 201, the rotating motor 201 drives the drive screw 202 to... The fixed bearing 203 rotates, which causes the drive screw 202 to rotate in the threaded cylinder 211. Through the cooperation between the drive screw 202 and the threaded cylinder 211, and the limiting block 204 limiting the limiting plate 206, the limiting plate 206 and the moving frame 208 can be driven to move along the drive screw 202. The sliding block 207 slides in the limiting groove 205 to improve the moving stability of the moving frame 208. The reinforcing ribs 209 and 210 are used to further improve the moving stability of the moving frame 208.
[0029] Then, using the identification camera 301 fixed to the inner wall of the mobile frame 208, the agricultural pests and diseases in the monitored area can be monitored, and the number of pests in the agricultural field can be monitored. The PLC controller then controls the rotating motor 201 to move the mobile frame 208 to a location with a high number of pests. The PLC controller also controls the drive motor 305, which drives the rotating screw 303 to rotate within the mobile frame 208. Simultaneously, the rotating screw 303 is threaded into the threaded sleeve 307, and a limit rod 302 is used to maintain the threaded connection. The threaded sleeve 307 slides within the limiting hole 308 on one side, thereby enabling the threaded sleeve 307 to move along with the bewitching array 309 and the insect-attracting lamp 310 by cooperating with the rotating screw 303. This allows the bewitching array 309 and the insect-attracting lamp 310 to be brought closer to areas in the farmland with a high number of pests. The insect-attracting lamp 310 attracts pests by emitting light, trapping them inside the bewitching array 309, where the special sticky paper inside traps the pests, making it easier to kill the pests in that area of the farmland. By repeating the above steps, pests in the farmland can be monitored and killed more accurately.
[0030] The above are merely preferred embodiments of the present utility model and are not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model shall be included within the protection scope of the present utility model.
Claims
1. A pest and disease monitoring and control device based on Internet of Things image recognition, comprising a device base frame (1), characterized in that: A frame moving mechanism (2) is provided above the equipment base frame (1), and a main body moving mechanism (3) is provided above the frame moving mechanism (2). The frame moving mechanism (2) includes two moving frames (208), and the main body moving mechanism (3) includes two limiting rods (302). The two moving frames (208) are fixedly connected to the two ends of the two limiting rods (302) on their respective sides. A recognition camera (301) is fixedly connected to the inner wall of each moving frame (208). A rotating screw (303) is rotatably connected to the interior of the two moving frames (208). An extension plate (306) is fixedly connected to the front of one of the moving frames (208). 6) The upper surface is fixedly connected to a drive motor (305). The end of the rotating screw (303) near the extension plate (306) is fixedly connected to the output end of the drive motor (305). Each of the identification cameras (301) is connected to the drive motor (305) via a PLC controller. The outer surface of the rotating screw (303) is threadedly connected to a threaded sleeve block (307). The front of the threaded sleeve block (307) has two limiting holes (308). Each of the limiting rods (302) is slidably connected inside the limiting hole (308). The bottom surface of the threaded sleeve block (307) is fixedly connected to a bewitching array cylinder (309). The inner top wall of the bewitching array cylinder (309) is fixedly connected to an insect-attracting lamp (310).
2. The pest monitoring and control device based on Internet of Things image recognition according to claim 1, characterized in that: Each of the movable frames (208) has a sliding block (207) fixedly connected to its bottom surface, and two limiting blocks (204) are fixedly connected to the upper surface of the equipment base frame (1). Each of the limiting blocks (204) has a limiting groove (205) on its upper surface, and each of the sliding blocks (207) is slidably connected to the inside of the limiting groove (205).
3. The pest monitoring and control device based on Internet of Things image recognition according to claim 2, characterized in that: Each of the sliding blocks (207) has a fixed connection to a limiting plate (206) on its bottom surface, and each of the blocks is slidably connected to the inside of the limiting groove (205). The bottom surface of each limiting plate (206) is in contact with the upper surface of the equipment base frame (1).
4. The pest monitoring and control device based on Internet of Things image recognition according to claim 3, characterized in that: Each of the limiting plates (206) has a reinforcing rod (210) fixedly connected to its upper surface. The ends of the two reinforcing rods (210) that are close to each other are fixedly connected to the sides of the two movable frames (208) that are far apart from each other. Each movable frame (208) has a reinforcing rib (209) fixedly connected to both sides. The bottom surface of each set of reinforcing ribs (209) is fixedly connected to the upper surface of the sliding block (207).
5. A pest monitoring and control device based on Internet of Things image recognition according to claim 3, characterized in that: Each of the limiting plates (206) has a threaded cylinder (211) fixedly connected to its upper surface, and each of the threaded cylinders (211) has a drive screw (202) threadedly connected inside.
6. The pest monitoring and control device based on Internet of Things image recognition according to claim 5, characterized in that: Each of the drive screws (202) has a fixed bearing (203) fixedly connected to its outer surface. The outer ring of each fixed bearing (203) is fixedly connected to the upper surface of the equipment base (1). Two rotating motors (201) are fixedly connected to the upper surface of the equipment base (1). The output end of each rotating motor (201) is fixedly connected to the left end of the drive screw (202).
7. The pest monitoring and control device based on Internet of Things image recognition according to claim 1, characterized in that: Two stabilizing bearings (304) are fixedly connected to the outer surface of the rotating screw (303), and the outer rings of the two stabilizing bearings (304) are fixedly connected to the two movable frames (208) on opposite sides.
Citation Information
Patent Citations
Insect trapping and killing equipment for agricultural pest control
CN217284548U