Tobacco product insect pest situation monitoring system based on AI image recognition
By using the tobacco product insect situation monitoring system based on AI image recognition in the tobacco product production workshop, the existing tobacco product traps are solved, and the precise monitoring and automated management of insect situations are realized, which reduces human costs and improves work efficiency.
Patent Information
- Application Number
- CN202311100481.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-29
- Publication Date
- 2025-02-28
AI Technical Summary
Existing tobacco traps are cumbersome to use, requiring regular inspection and cleaning of humans, and are costly and inefficient when deploying a large number of traps.
A tobacco product insect situation monitoring system based on AI image recognition is designed, and insect situation monitoring and AI image recognition analysis are carried out through tobacco insect trapping device, and combined with signal receiving device and control terminal to realize remote real-time monitoring and automatic cleaning.
Through AI image recognition technology, accurately capture insect situations, reduce human costs, improve work efficiency, and realize real-time monitoring and automated management of insect situations.
Smart Images

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Abstract
Description
Technical Field
[0001] The present application relates to the field of insect infestation detection, and more specifically to a tobacco product insect infestation monitoring system based on AI image recognition. Background Art
[0002] Tobacco insect control management is a key task for cigarette manufacturing companies. The use of tobacco insect traps is an effective way of tobacco insect control. The tobacco insect control personnel in the workshop set up traps at various insect-prone points in the production workshop according to the management plan, and then monitor the insect situation in the workshop by regularly inspecting the tobacco insect traps. The tobacco insects are mainly tobacco beetles and tobacco powder borers.
[0003] The use of existing tobacco insect traps is relatively cumbersome, requiring personnel to regularly check the internal conditions of the tobacco insect traps and clean the inside of the tobacco insect traps in a timely manner. In addition, when a large number of tobacco insect traps are deployed, the human input cost is high and the work efficiency is low.
[0004] In view of this, the inventors have designed a tobacco product insect monitoring system based on AI image recognition to address this problem. Summary of the invention
[0005] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a tobacco product insect monitoring system based on AI image recognition, which has the advantage that the internal situation of the tobacco insect trap can be accurately captured through AI image recognition and a response can be made according to the situation, and the relevant information can be reported and stored, effectively reducing labor costs and improving work efficiency.
[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a tobacco product insect monitoring system based on AI image recognition, comprising a tobacco insect trapping device, a signal receiving device, and a control terminal.
[0007] Tobacco insect trapping devices are installed at various insect-prone spots in the production workshop to capture insects and analyze, compare, and save them through AI image recognition. They can also identify and clean them according to their own conditions and pass relevant information to the signal receiving device;
[0008] A signal receiving device, which is arranged in the monitoring center of the production workshop, is used to receive information transmitted by any tobacco insect trapping device and transmit the received information to the control terminal, and can issue instructions to any tobacco insect trapping device;
[0009] The control terminal is arranged on a computer or a mobile phone device, and is used for receiving information transmitted by a signal receiving device about each tobacco insect trapping device, and can send instructions to any tobacco insect trapping device through the signal receiving device.
[0010] By adopting the above technical solution, when it is necessary to monitor the insect situation in the tobacco production workshop, first install a number of tobacco insect trapping devices on various insect-prone points in the production workshop and store the existing tobacco insect species information in the tobacco insect trapping devices. Then install a signal receiving device in the monitoring room of the tobacco production workshop, and install a control terminal on a designated computer or mobile phone. When the insect monitoring system is started, the tobacco insect trapping device can monitor the insect situation in the corresponding production workshop in real time, and the tobacco insect trapping device can perform AI image recognition analysis on the captured insects, and compare them with the existing stored tobacco insect species (tobacco beetles, tobacco powder borers) information. After analysis and comparison, The relevant information is stored and sent to the signal receiving device, and the signal receiving device further sends the information transmitted by several tobacco insect trapping devices to the control terminal; when the tobacco insect trapping device needs to clean the captured insects, the tobacco insect trapping device can identify and judge its own situation, and clean itself when the inside of the tobacco insect trapping device meets the cleaning requirements; when the operator needs to check any tobacco insect trapping device, the control terminal can remotely control the signal receiving device to schedule and check the tobacco insect trapping device; when any tobacco insect trapping device is scheduled for inspection in the tobacco production workshop, the signal receiving device can also be directly operated and instructions can be sent to implement monitoring.
[0011] In summary, the above-mentioned tobacco insect trapping device uses AI image recognition to analyze, compare, and save insect conditions, and can make judgments and clean up according to its own situation and pass relevant information to the signal receiving device through artificial intelligence operation. It can monitor the insect conditions at the release point in real time, and then transmit the information of the tobacco insect trapping device to the signal receiving device and further transmit it to the control terminal to realize remote real-time monitoring. The signal receiving device and the control terminal can issue control instructions to the tobacco insect trapping device, so as to achieve accurate capture of the internal situation of the tobacco insect trap through AI image recognition and respond according to the situation, and the relevant information can be reported and stored, which effectively reduces labor costs and improves work efficiency.
[0012] The preferred embodiment of the present invention is as follows: the tobacco insect trapping device includes a shell with a built-in observation chamber, an insect inlet arranged on one side of the shell and communicating with the observation chamber, a discharge port arranged at the lower end of the shell and communicating with the observation chamber, a storage chamber arranged on the shell and away from one end of the insect inlet, a plurality of sticking plates arranged in sequence from top to bottom in the storage chamber and used for luring and capturing insects, a push plate arranged at the lower end of the storage chamber and used for horizontally pushing the plurality of sticking plates to the upper end of the discharge port, a first linear motor arranged on the shell and used for driving the push plate to move, a support member arranged at the lower end of the discharge port and used for supporting the sticking plates, a support member arranged on the shell and used for communicating with the observation chamber A second linear motor drives the support member horizontally away from the discharge port, a container is arranged at the lower end of the discharge port and is used to load used sticky boards, a camera is arranged at the upper end of the observation chamber and is used to observe the insect situation of the sticky boards at the discharge port, and a control center is arranged in the shell. The lower end of the observation chamber is provided with a sliding port that is connected with the storage chamber and only allows one sticky board to pass through. The upper surface of the sticky board located on the support member is flush with the lower surface of the observation chamber. The observation chamber is a vertical cylinder. The sticky board and the discharge port are both equal in size. The insect inlet is located at the lower end of the camera, and an attractant for attracting insects is provided on the sticky board.
[0013] By adopting the above technical scheme, when it is necessary to monitor the insect situation at the placement point through the tobacco insect trapping device, the insects enter the observation chamber through the insect entrance under the action of the attractant and adhere to the sticky board under the action of the attractant. The camera can take pictures of the insect situation on the sticky board, collect and send it to the control center, and the control center analyzes the collected information, compares and stores it with the tobacco insect situation (tobacco beetles, tobacco powder borers) stored in the control center, and sends the relevant information to the signal receiving device, and can judge the distribution density of the insect situation on the sticky board. After the insect distribution density on the sticky board reaches the set value or there are tobacco insects of the same type as those stored in the control center on the sticky board, The control center issues a command to the second linear motor, which drives the support member away from the discharge port. At this time, the sticking plate on the discharge port falls into the container for collection without the support of the support member, and after the sticking plate falls into the container, the support member moves to the discharge port driven by the second linear motor. Then the control center issues a command to the first linear motor, which drives the push plate to push the sticking plate at the bottom of the storage chamber through the sliding port to the discharge port, so that the pushed sticking plate falls on the support member of the discharge port, and the remaining sticking plates in the storage chamber are placed on the upper surface of the push plate, and then the push plate returns to its original position under the action of the first linear motor, and the sticking plate on the push plate falls to the bottom of the storage chamber.
[0014] Preferably, the sticking board comprises, from top to bottom, an insect sticking layer, an insect attracting layer provided with an insect attractant, and a smooth layer provided at the lower end of the insect attracting layer and preventing the sticking board at the lower end from adhering.
[0015] By adopting the above technical solution, the sticky board is configured as an insect sticky layer, an insect attracting layer and a smooth layer, which can help to lure and capture insects, and the sticky boards can be stacked without adhering to each other.
[0016] The present invention preferably comprises: the control center includes a central processing unit with embedded AI, an image recognition module arranged on the central processing unit and used to identify insect conditions, an image acquisition card arranged on the central processing unit and used to statistically process the insect conditions on the board, a first Internet of Things module arranged on the central processing unit, and a first storage module arranged on the central processing unit.
[0017] By adopting the above technical solution, when the camera transmits the captured sticky board information to the central processor, the embedded AI in the central processor can integrate and process the information and send it to the image recognition module and the image acquisition card. The image recognition module and the image acquisition card process the information and transmit it to the central processor again. The central processor analyzes and compares the tobacco insect situation with the tobacco insect situation stored in the first storage module, effectively collects the insect situation captured on the sticky board, and collects information on insects that are not stored. Then the central processor collects the analyzed and compared data and transmits it to the first Internet of Things module. The first Internet of Things module transmits the information to the signal receiving device, and the central processor analyzes the insect distribution density on the sticky board and executes the next instruction after the insect distribution density on the sticky board reaches the set value.
[0018] Preferably, the thickness of the push plate is consistent with the thickness of any of the sticking plates.
[0019] By adopting the above technical solution, the thickness of the push plate is consistent with the thickness of any sticking plate, so that the upper surface of the bottom sticking plate can be flush with the upper surface of the push plate, which helps other sticking plates to move to the upper surface of the push plate more smoothly during the movement of the push plate.
[0020] Preferably, the support member is arranged in a Y shape, and one end of the support member is connected to the second linear motor driving rod.
[0021] By adopting the above technical solution, the support member is arranged in a Y shape, which is conducive to supporting the sticking board.
[0022] Preferably, the outer edge of the insect inlet is provided with an attracting light for attracting insects.
[0023] By adopting the above technical solution and setting the attracting lamp, the insects in the production workshop can be effectively attracted, thereby improving the insect attraction rate.
[0024] Preferably, the signal receiving device includes a casing, a control mainboard arranged in the casing, a touch display screen arranged on the casing and electrically connected to the control mainboard, and a second Internet of Things module arranged on the control mainboard.
[0025] By adopting the above technical solution, when the tobacco insect trapping device transmits information to the signal receiving device, the second Internet of Things module receives the information sent by the tobacco insect trapping device and transmits it to the control main board, and the control main board processes and reports the received information and issues an alarm prompt for the emergency, and the control main board transmits the processed information to the control terminal through the second Internet of Things module; the operator can issue instructions or view information through the touch display screen; when issuing instructions, the control main board sends the instructions to the tobacco insect trapping device through the second Internet of Things module, and the second Internet of Things module can receive the instructions from the control terminal.
[0026] Preferably, the control mainboard is provided with a second storage module.
[0027] By adopting the above technical solution and setting up the second storage module, the information analysis of the tobacco insect trapping device by the control mainboard can be stored, which is beneficial for later scheduling and viewing.
[0028] Preferably, the control terminal is a terminal control software arranged on a computer or a mobile phone, and the control terminal receives information of any tobacco insect trapping device through a signal receiving device and issues instructions to the tobacco insect trapping device through the signal receiving device.
[0029] By adopting the above technical solution, the control terminal is installed on a computer or mobile phone to facilitate remote monitoring, which is convenient for operators to understand the internal situation of the production workshop and to promptly issue an alarm in case of an emergency. The corresponding tobacco insect trapping device can also be operated through the control terminal via a signal receiving device.
[0030] In summary, the present invention has the following advantages:
[0031] 1. The tobacco insect trapping device uses AI image recognition to analyze, compare, and save insect conditions, and can judge and clean up according to its own situation and pass the relevant information to the signal receiving device through artificial intelligence operation. It can monitor the insect conditions at the release point in real time, and then transmit the information of the tobacco insect trapping device to the signal receiving device and further transmit it to the control terminal to achieve remote real-time monitoring. The signal receiving device and the control terminal can issue control instructions to the tobacco insect trapping device, so as to achieve accurate capture of the internal situation of the tobacco insect trap through AI image recognition and respond according to the situation, and the relevant information can be reported and stored, effectively reducing labor costs and improving work efficiency.
[0032] 2. When the tobacco insect trapping device transmits information to the signal receiving device, the second Internet of Things module receives the information sent by the tobacco insect trapping device and transmits it to the control main board, which processes and reports the received information and issues an alarm prompt for the emergency, and the control main board transmits the processed information to the control terminal through the second Internet of Things module; the operator can issue instructions or view information through the touch screen; when issuing instructions, the control main board sends the instructions to the tobacco insect trapping device through the second Internet of Things module, and the second Internet of Things module can receive instructions from the control terminal.
[0033] 3. Installing the control terminal on a computer or mobile phone facilitates remote monitoring, allowing operators to understand the internal conditions of the production workshop and issue timely alarms in case of emergencies. The corresponding tobacco insect trapping device can also be operated through the control terminal via a signal receiving device. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 It is a working principle diagram of this embodiment;
[0035] Figure 2 Schematic diagram of the overall structure of the tobacco insect trapping device of this embodiment;
[0036] Figure 3 is a schematic cross-sectional view of the tobacco insect trapping device of this embodiment;
[0037] Figure 4 is a schematic structural diagram of the support member and the second linear motor of this embodiment;
[0038] Figure 5 Schematic diagram of the overall structure of the adhesive plate of this embodiment;
[0039] Figure 6 It is a working principle diagram of the control center of this embodiment;
[0040] Figure 7 1 is a working principle diagram of the signal receiving device of this embodiment.
[0041] Explanation of the reference numerals: 1. Shell; 2. Insect inlet; 3. Discharge port; 4. Storage chamber; 5. Sticky plate; 51. Insect sticky layer; 52. Insect attracting layer; 53. Smooth layer; 6. Push plate; 7. First linear motor; 8. Support member; 9. Second linear motor; 10. Container; 11. Camera; 12. Control center; 13. Sliding port; 14. Attracting light; 15. Observation chamber; 16. Battery; 17. Protective cover. DETAILED DESCRIPTION
[0042] The present invention is further described in detail below in conjunction with the accompanying drawings.
[0043] A tobacco product insect monitoring system based on AI image recognition, such as Figure 1 As shown, it includes a tobacco insect trapping device, a signal receiving device, and a control terminal. The tobacco insect trapping device is installed at various insect-prone points in the production workshop, and is used to capture insects and analyze, compare, and save the insects through AI image recognition. It can also make judgments and clean up according to its own situation and pass the relevant information to the signal receiving device; the signal receiving device is installed in the monitoring center of the production workshop, and is used to receive information transmitted by any tobacco insect trapping device and pass the received information to the control terminal, and can issue instructions to any tobacco insect trapping device; the control terminal is installed on a computer or mobile phone device, and is used to receive information transmitted by the signal receiving device about each tobacco insect trapping device, and can send instructions to any tobacco insect trapping device through the signal receiving device.
[0044] Furthermore, the control terminal is a terminal control software installed on a computer or mobile phone. The control terminal receives information from any tobacco insect trapping device through a signal receiving device and issues instructions to the tobacco insect trapping device through the signal receiving device. Installing the control terminal on a computer or mobile phone facilitates remote monitoring, facilitates operators to understand the internal situation of the production workshop, and promptly issues an alarm in case of an emergency, and can operate the corresponding tobacco insect trapping device through the control terminal through the signal receiving device.
[0045] like Figure 2 , 3As shown, the tobacco insect trapping device includes a shell 1 with a built-in observation chamber 15, an insect inlet 2 opened on one side of the shell 1 and connected with the observation chamber 15, a discharge port 3 opened at the lower end of the shell 1 and connected with the observation chamber 15, a storage chamber 4 opened on the shell 1 and away from the insect inlet 2, a plurality of sticking plates 5 arranged in sequence from top to bottom in the storage chamber 4 and used for luring and catching insects, a push plate 6 horizontally slidably installed at the lower end of the storage chamber 4 and used for pushing the plurality of sticking plates 5 horizontally to the upper end of the discharge port 3, a first linear motor 7 installed on the shell 1 and used for driving the push plate 6 to move, a support member 8 horizontally slidably installed at the lower end of the discharge port 3 and used for supporting the sticking plates 5, a second linear motor 9 installed on the shell 1 and used for driving the support member 8 horizontally away from the discharge port 3, a container 10 threadedly connected to the lower end of the discharge port 3 and used for loading used sticking plates 5, A camera 11 is installed at the upper end of the observation chamber 15 and is used to observe the insect situation of the sticking plate 5 at the discharge port 3, and a control center 12 is installed in the shell 1. A sliding port 13 is opened at the lower end of the observation chamber 15, which is connected with the storage chamber 4 and allows only one sticking plate 5 to pass. The upper surface of the sticking plate 5 located on the support 8 is flush with the lower surface of the observation chamber 15. The observation chamber 15 is a vertical cylinder. The sticking plate 5 and the discharge port 3 are both equal-sized circles. The insect inlet 2 is located at the lower end of the camera 11. An attractant for attracting insects is added to the sticking plate 5. A containing cavity that is connected with the upper end of the shell 1 is opened at the end of the shell 1 away from the observation chamber 15, and a battery 16 electrically connected to the control center 12 is installed in the containing cavity. The observation chamber 15 and the storage chamber 4 both pass through the upper end of the shell 1, and a protective cover 17 for sealing the observation chamber 15, the storage chamber 4 and the containing cavity is clamped on the upper end of the shell 1.
[0046] When it is necessary to monitor the insect situation at the release point through the tobacco insect trapping device, the insects enter the observation chamber 15 through the insect inlet 2 under the action of the attractant, and adhere to the sticking plate 5 under the action of the attractant. The camera 11 can take pictures of the insect situation on the sticking plate 5, collect the information and send it to the control center 12. The control center 12 analyzes the collected information, compares it with the tobacco insect situation (tobacco beetles, tobacco powder borers) stored in the control center 12, stores it and sends the relevant information to the signal receiving device, and can judge the distribution density of the insect situation on the sticking plate 5. After the insect distribution density on the sticking plate 5 reaches the set value or there are tobacco insects of the same type as those stored in the control center 12 on the sticking plate 5, the control center 12 gives a signal to the second linear motor 9. The control center 12 issues an instruction to the first linear motor 7, and the first linear motor 7 drives the push plate 6 to push the bottom of the sticky plate 5 in the storage chamber 4 to the discharge port 3 through the sliding port 13, so that the pushed sticky plate 5 falls on the support 8 of the discharge port 3, and the remaining sticky plates 5 in the storage chamber 4 are placed on the upper surface of the push plate 6, and then the push plate 6 returns to its original position under the action of the first linear motor 7, and the sticky plates 5 on the push plate 6 will fall to the bottom surface of the storage chamber 4.
[0047] like Figure 3 , 4 As shown, the support member 8 is arranged in a Y shape, and one end of the support member 8 is connected to the driving rod of the second linear motor 9. The thickness of the push plate 6 is consistent with the thickness of any sticking plate 5, so that the upper surface of the bottom sticking plate 5 can be flush with the upper surface of the push plate 6, which helps other sticking plates 5 to move to the upper surface of the push plate 6 more smoothly during the movement of the push plate 6.
[0048] Further, such as Figure 5 As shown, the sticking board 5 includes, from top to bottom, an insect sticky layer 51, an insect attracting layer 52 provided with an insect attractant, and a smooth layer 53 arranged at the lower end of the insect attracting layer 52 to prevent the lower end of the sticking board 5 from adhering, which can help to attract and capture insects, and the sticking boards 5 can be stacked without adhering to each other.
[0049] like Figure 6As shown, the control center 12 includes a central processor with embedded AI, an image recognition module installed on the central processor and used to identify insect conditions, an image acquisition card installed on the central processor and used to statistically process the insect conditions of the sticking board 5, a first Internet of Things module installed on the central processor, and a first storage module installed on the central processor. When the camera 11 transmits the information of the sticking board 5 photographed to the central processor, the embedded AI in the central processor can integrate and process the information and send it to the image recognition module and the image acquisition card, and the image recognition module and the image acquisition card process the information and transmit it to the central processor again. The central processor analyzes and compares the tobacco insect conditions stored in the first storage module, effectively collects the insect conditions captured by the sticking board 5, and collects information on insects that are not currently stored. Then the central processor collects the analyzed and compared data and transmits it to the first Internet of Things module, and the first Internet of Things module transmits the information to the signal receiving device, and the central processor analyzes the distribution density of the insect conditions on the sticking board 5 and performs the next instruction after the distribution density of the insect conditions on the sticking board 5 reaches the set value.
[0050] It is worth mentioning that an attracting lamp 14 for attracting insects is installed on the outer edge of the insect inlet 2, which can effectively attract insects in the production workshop, thereby improving the insect attraction rate.
[0051] like Figure 7 As shown, the signal receiving device includes a housing, a control mainboard installed in the housing, a touch screen installed on the housing and electrically connected to the control mainboard, and a second Internet of Things module installed on the control mainboard. When the tobacco insect trapping device transmits information to the signal receiving device, the second Internet of Things module receives the information sent by the tobacco insect trapping device and transmits it to the control mainboard, which processes and reports the received information and issues an alarm prompt for an emergency, and the control mainboard transmits the processed information to the control terminal through the second Internet of Things module; the operator can issue instructions or view information through the touch screen; when issuing instructions, the control mainboard sends the instructions to the tobacco insect trapping device through the second Internet of Things module, and the second Internet of Things module can receive instructions from the control terminal.
[0052] Furthermore, the control main board is installed with a second storage module, which can store the information analysis of the tobacco insect trapping device by the control main board, which is convenient for later scheduling and viewing.
[0053] The working process and beneficial effects of the present invention are as follows:
[0054] When it is necessary to monitor the insect situation in the tobacco production workshop, first install several tobacco insect trapping devices on various insect-prone points in the production workshop and store the existing tobacco insect species information in the tobacco insect trapping devices. Then install a signal receiving device in the monitoring room of the tobacco production workshop, and install a control terminal on a designated computer or mobile phone. When the insect monitoring system is started, the tobacco insect trapping device can monitor the insect situation in the corresponding production workshop in real time. The tobacco insect trapping device can perform AI image recognition analysis on the captured insects and compare them with the existing stored tobacco insect species information (tobacco beetles, tobacco powder borers). After analysis and comparison, the relevant information can be The information is stored and sent to the signal receiving device, and the signal receiving device further sends the information transmitted by several tobacco insect trapping devices to the control terminal; when the tobacco insect trapping device needs to clean the captured insects, the tobacco insect trapping device can identify and judge its own situation, and clean itself when the inside of the tobacco insect trapping device meets the cleaning requirements; when the operator needs to check any tobacco insect trapping device, the control terminal can remotely control the signal receiving device to schedule the tobacco insect trapping device for inspection; when any tobacco insect trapping device is scheduled for inspection in the tobacco production workshop, the signal receiving device can also be directly operated and sent to monitor.
[0055] In summary, the above-mentioned tobacco insect trapping device uses AI image recognition to analyze, compare, and save insect conditions, and can make judgments and clean up according to its own situation and pass relevant information to the signal receiving device through artificial intelligence operation. It can monitor the insect conditions at the release point in real time, and then transmit the information of the tobacco insect trapping device to the signal receiving device and further transmit it to the control terminal to realize remote real-time monitoring. The signal receiving device and the control terminal can issue control instructions to the tobacco insect trapping device, so as to achieve accurate capture of the internal situation of the tobacco insect trap through AI image recognition and respond according to the situation, and the relevant information can be reported and stored, which effectively reduces labor costs and improves work efficiency.
[0056] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the design concept of the present invention should be included in the protection scope of the present invention.
Claims
1. A tobacco product insect monitoring system based on AI image recognition, characterized by: It includes a tobacco insect trapping device, a signal receiving device, and a control terminal. Tobacco insect trapping devices are installed at various insect-prone spots in the production workshop to capture insects and analyze, compare, and save them through AI image recognition. They can also identify and clean them according to their own conditions and pass relevant information to the signal receiving device; A signal receiving device is arranged in the monitoring center of the production workshop, and is used for receiving information transmitted by any tobacco insect trapping device and transmitting the received information to the control terminal, and can issue instructions to any tobacco insect trapping device; the control terminal is arranged on a computer or mobile phone device, and is used for receiving information transmitted by the signal receiving device about each tobacco insect trapping device and can send instructions to any tobacco insect trapping device through the signal receiving device.
2. The tobacco product insect monitoring system based on AI image recognition according to claim 1, characterized in that: The tobacco insect trapping device comprises a shell (1) with a built-in observation chamber (15), an insect inlet (2) arranged at one side of the shell (1) and interpenetrating with the observation chamber (15), an outlet (3) arranged at the lower end of the shell (1) and interpenetrating with the observation chamber (15), a storage chamber (4) arranged on the shell (1) and at one end away from the insect inlet (2), a plurality of sticking plates (5) arranged in sequence from top to bottom in the storage chamber (4) and used for attracting and capturing insects, a push plate (6) arranged at the lower end of the storage chamber (4) and used for horizontally pushing the plurality of sticking plates (5) to the upper end of the outlet (3), a first linear motor (7) arranged on the shell (1) and used for driving the push plate (6) to move, a support member (8) arranged at the lower end of the outlet (3) and used for supporting the sticking plates (5), and a support member (8) arranged on the shell (1) and used for driving the support member (8). A second linear motor (9) is arranged horizontally away from the discharge port (3), a container (10) is arranged at the lower end of the discharge port (3) and is used to load used sticky plates (5), a camera (11) is arranged at the upper end of the observation chamber (15) and is used to observe the insect situation of the sticky plates (5) at the discharge port (3), and a control center (12) is arranged in the shell (1), the lower end of the observation chamber (15) is provided with a sliding port (13) which is connected with the storage chamber (4) and allows only one sticky plate (5) to pass through, the upper surface of the sticky plate (5) located on the support (8) is flush with the lower surface of the observation chamber (15), the observation chamber (15) is a vertical cylindrical shape, the sticky plate (5) and the discharge port (3) are both equal in size, the insect inlet (2) is located at the lower end of the camera (11), and the sticky plate (5) is provided with an attractant for attracting insects.
3. The tobacco product insect monitoring system based on AI image recognition according to claim 2, characterized in that: The sticking plate (5) comprises, from top to bottom, an insect sticking layer (51), an insect attracting layer (52) provided with an insect attractant, and a smooth layer (53) arranged at the lower end of the insect attracting layer (52) and preventing the lower end sticking plate (5) from adhering.
4. The tobacco product insect monitoring system based on AI image recognition according to claim 2, characterized in that: The control center (12) comprises a central processing unit with embedded AI, an image recognition module arranged on the central processing unit and used for identifying insect conditions, an image acquisition card arranged on the central processing unit and used for statistically processing the insect conditions of the sticky board (5), a first Internet of Things module arranged on the central processing unit, and a first storage module arranged on the central processing unit.
5. The tobacco product insect monitoring system based on AI image recognition according to claim 2, characterized in that: The thickness of the push plate (6) is consistent with the thickness of any one of the dip plates (5).
6. The tobacco product insect monitoring system based on AI image recognition according to claim 2, characterized in that: The support member (8) is arranged in a Y shape, and one end of the support member (8) is connected to a driving rod of a second linear motor (9).
7. The tobacco product insect monitoring system based on AI image recognition according to claim 2, characterized in that: An attracting light (14) for attracting insects is arranged on the outer edge of the insect inlet (2).
8. The tobacco product insect monitoring system based on AI image recognition according to claim 1, characterized in that: The signal receiving device includes a casing, a control mainboard arranged in the casing, a touch display screen arranged on the casing and electrically connected to the control mainboard, and a second Internet of Things module arranged on the control mainboard.
9. The tobacco product insect monitoring system based on AI image recognition according to claim 8, characterized in that: The control main board is provided with a second storage module.
10. The tobacco product insect monitoring system based on AI image recognition according to claim 1, characterized in that: The control terminal is a terminal control software arranged on the upper end of a computer or a mobile phone. The control terminal receives information of any tobacco insect trapping device through a signal receiving device and issues instructions to the tobacco insect trapping device through the signal receiving device.