Intelligent measuring and forecasting device and method for insect pest situation of vegetables in facility

Abstract

The invention discloses an intelligent measuring and reporting device and method for insect pest conditions of vegetables in a facility, and the method comprises the steps: carrying out the color trapping of pests through employing a sticky card according to the color taxis principle of the pests in the daytime, and trapping the pests through employing light according to the phototaxis principle of the pests at night; shooting the insect sticking plate in different time periods to obtain image information, and uploading the image information to a cloud analysis server through a network for image recognition and judgment, data statistics and comprehensive analysis to obtain an insect condition result analysis report; the obtained insect condition result analysis report is issued to a terminal in real time for a user to obtain, and technical support is provided for subsequent insect pest prevention and control.

Description

Technical Field

[0001] The invention relates to the field of plant protection in facilities, and in particular to an intelligent detection and reporting device and method for vegetable insect infestation in facilities. Background Art

[0002] Pest monitoring and prevention is an important part of agricultural production and has a significant impact on crop yields. Therefore, agricultural technicians need to analyze and predict the occurrence and development of pests, guide scientific prevention and control, avoid blind use of drugs, and ensure the quality and safety of agricultural products.

[0003] At present, insect monitoring and reporting mainly relies on instruments and equipment, and manual collection, comparison and analysis of image information. This method has low efficiency, poor accuracy and weak sensitivity.

[0004] Therefore, the existing insect infestation prediction methods have the technical problem of low reliability. It can be seen that how to improve the reliability of insect infestation prediction methods is a problem that needs to be solved in this field. Summary of the invention

[0005] In view of the technical problem that existing methods for predicting insect infestation have low reliability, the purpose of the present invention is to provide an intelligent vegetable insect infestation monitoring and reporting device, which can realize regular monitoring, accurate comparison, intelligent analysis and effective prediction of insect infestation, provide technical support for subsequent pest control, and improve the reliability of insect infestation prediction methods; on this basis, an intelligent vegetable insect infestation monitoring and reporting method is also provided, which effectively overcomes the problems existing in the prior art.

[0006] In order to achieve the above-mentioned purpose, the present invention provides an intelligent monitoring and reporting device for vegetable insect conditions in a facility, comprising a first mounting plate, a second mounting plate, an insect attractant module, a collection module, a control module and a cloud server end, wherein the first mounting plate and the second mounting plate are arranged opposite to each other, and an installation area for the insect attractant module, the collection module and the control module is formed in the middle; the insect attractant module comprises a fixed frame, an insect sticky board assembly and an insect attractant lamp assembly, the insect sticky board assembly is arranged around the periphery of the fixed frame for capturing insect bodies, and the insect attractant lamp is located at the top of the fixed frame and is arranged around for light-luring pests at night; the collection module is arranged relative to the insect attractant module and is directly connected to the control module, the collection module shoots and collects the insect attractant module and transmits the collected information to the control module, the control module is connected to the cloud server end, and the collected information is transmitted to the cloud server end for regular monitoring, accurate comparison, intelligent analysis and effective prediction of the insect conditions.

[0007] Furthermore, a plurality of mounting surfaces are provided on the periphery of the fixing frame, and grooves for mounting the insect sticky board assembly are provided at the upper and lower ends of each mounting surface.

[0008] Furthermore, the insect attraction module is also equipped with a driving component and a rotating component. The driving component is located on the second mounting plate at the bottom of the fixed frame and is connected to the control module. The driving component drives the rotating component to drive the rotating component to rotate. The rotating component is connected to the fixed frame to drive the fixed frame to rotate.

[0009] Furthermore, the driving assembly includes a driving motor and a positioning switch, wherein the positioning switch is connected to the control module and is connected to the motor drive, and the control module triggers the opening of the positioning switch and controls the driving motor to drive the rotating assembly to rotate.

[0010] Furthermore, the rotating assembly includes a rotating shaft core, which passes through the fixed frame, and has two ends respectively connected to the first mounting plate and the driving motor, so that the fixed frame is driven to rotate synchronously through the rotation of the driving motor.

[0011] Furthermore, the acquisition module is provided with a fill light component, which is arranged around the acquisition module and connected to the control module. The control module can control the fill light component to fill light for each shooting angle of the shooting component.

[0012] Furthermore, the cloud server includes an identification unit, a judgment unit and a prediction unit; the identification unit is used to extract features from the acquired pest image information, and the judgment unit compares and judges the extracted features with the standard insect library to determine the type of pest; the prediction unit predicts the current status of the insect situation in the facility according to the determined pest type and forms an insect situation result analysis report.

[0013] In order to achieve the above object, the present invention provides a method for intelligently detecting and reporting the insect pests in vegetables in a facility, and the method for intelligently detecting and reporting the insect pests in vegetables in a facility comprises the following steps:

[0014] Step 1: During the day, according to the principle of pests' color attraction, use sticky insect boards to lure pests with colors, and at night, according to the principle of pests' phototaxis, use lights to trap pests;

[0015] Step 2: Collect the image information of the sticky insect board in step 1 at different time periods and upload it to the cloud analysis server through the network for image recognition and judgment, data statistics and comprehensive analysis, and obtain an insect situation result analysis report;

[0016] Step 3: Send the insect situation analysis report obtained in step 2 to the terminal in real time for the user to obtain.

[0017] The vegetable insect infestation intelligent detection and reporting device and method provided by the present invention utilize the color attraction and phototaxis principle of the pests to capture the pests by combining color attraction and light attraction.

[0018] Secondly, the device is equipped with an ultra-high-definition camera for real-world photography, and uses technologies such as image recognition and deep learning algorithms to achieve regular monitoring, accurate comparison, intelligent analysis and effective prediction of insect conditions, providing technical support for subsequent pest control. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments.

[0020] Figure 1 This is a schematic diagram of the overall structure of the vegetable insect situation intelligent detection and reporting device;

[0021] Figure 2 This is a structural diagram of the insect attracting module in the vegetable insect situation intelligent detection and reporting device;

[0022] Figure 3 This is a schematic diagram of the structure of the acquisition module in the vegetable insect pest intelligent monitoring and reporting device;

[0023] Figure 4 This is a schematic diagram of the structure of the control module in the intelligent vegetable insect pest monitoring device.

[0024] The following is a description of the components in the accompanying drawings:

[0025] 100. First mounting plate 200. Second mounting plate 300. Insect attractant module 400. Collection module 500. Control module 310. Rotation assembly 311. Rotation axis core 312. Connecting plate 313. Hole 320. Driving assembly 330. Fixing frame 331. Groove 340. Insect sticky board assembly 350. Insect attractant lamp assembly 410. Shooting assembly 420. Fill light assembly. DETAILED DESCRIPTION

[0026] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below with reference to specific diagrams.

[0027] In view of the technical problem that the existing methods for predicting insect pests have low reliability, the purpose of the present invention is to provide an intelligent method for predicting vegetable insect pests. The intelligent method for predicting vegetable insect pests provided by the present invention comprises:

[0028] Step 1: During the day, according to the principle of pests' color attraction, use sticky insect boards to lure the pests with colors. At night, according to the principle of pests' phototaxis, use lights to trap the pests.

[0029] Step 2: Collect image information of the sticky insect board in step 1 at different time periods and upload it to the cloud analysis server through the network for image recognition and judgment, data statistics and comprehensive analysis to obtain an insect situation analysis report.

[0030] Step 3: Send the insect situation analysis report obtained in step 2 to the terminal in real time for the user to obtain.

[0031] The intelligent monitoring and reporting method for vegetable insect pests formed by the above scheme uses the principle of pests' color attraction and phototaxis to capture pests by combining color and light attraction. Secondly, it uses technologies such as image recognition and deep learning algorithms to achieve regular monitoring, accurate comparison, intelligent analysis and effective prediction of insect pests, providing technical support for subsequent pest control.

[0032] Embodiment 1:

[0033] Based on the intelligent vegetable insect pest monitoring method provided by the above scheme, this scheme also provides an intelligent vegetable insect pest monitoring device, through which the intelligent vegetable insect pest monitoring method is implemented.

[0034] The intelligent vegetable insect infestation detection and reporting device provided in this solution includes a first mounting plate 100, a second mounting plate 200, an insect attracting module 300, a collection module 400, a control module 500 and a cloud server end (not marked in the figure).

[0035] The first mounting plate 100 and the second mounting plate 200 are arranged opposite to each other, with a gap in between to form an installation area for the insect attracting module 300, the collecting module 400 and the control module 500.

[0036] Among them, the collection module 400 and the control module 500 are integrated into a mounting body arranged in a section of the mounting area, and the upper and lower ends are respectively connected to the first mounting plate 100 and the second mounting plate 200. The insect attractant module 300 is independently located at the other end of the mounting area and is arranged relative to the collection module 400 and the control module 500. The upper and lower ends of the insect attractant module 300 are respectively connected to the first mounting plate 100 and the second mounting plate 200.

[0037] Specifically, the insect attracting module 300 is used to capture insects, and includes a rotating assembly 310 , a driving assembly 320 , a fixing frame 330 , an insect sticky board assembly 340 , and an insect attracting light assembly 350 .

[0038] The fixing frame 330 is arranged in the installation area, and grooves 331 are respectively provided at the upper and lower ends of each installation surface around the periphery thereof for matching and connecting with the insect sticky board assembly 340.

[0039] A reinforcing support structure is also provided in the fixing frame 330 . The reinforcing support structure is distributed in the fixing frame, and both ends of the reinforcing support structure are connected to the upper and lower ends of the fixing frame to enhance the strength of the fixing frame.

[0040] The fixing frame in the present solution preferably adopts a plastic four-sided three-dimensional structure, which can realize the compactness and rationality of the layout of the device.

[0041] The insect sticky board assembly 340 includes a plurality of insect sticky boards, on which a highly viscous adhesive is attached to stick the pests; the plurality of insect sticky boards are distributed on each mounting surface of the fixing frame 330, and cooperate with the groove 331 on each mounting surface, and the insect sticky boards are inserted and fixed along the groove, and at the same time, each can achieve all-round attraction and capture of pests.

[0042] Here, this solution does not limit the color of the sticky insect boards distributed on each mounting surface of the fixed frame. It is preferred to set sticky insect boards of different colors on each mounting surface of the fixed frame to target insects with different color tendencies, so as to expand the range of captured pest types and achieve comprehensive monitoring of pests.

[0043] The sticky insect board in the present solution preferably adopts a sticky insect board with a size of 15cmX20cm, which is a common size in the market and can be directly purchased and used, thereby reducing manufacturing costs and improving the versatility of the device.

[0044] Secondly, the insect sticky board in this solution is preferably made of degradable material, and the material is hard and moisture-resistant, and can be used continuously for more than 15 days, ensuring the durability of the device to reduce the cost of use.

[0045] Surrounding insect trap lamp assemblies 340 are arranged around the top of the sticky insect board fixing frame 330. At least one insect trap lamp is arranged corresponding to each mounting surface of the fixing frame and is installed on the first mounting plate 100. The insect trap lamp is arranged separately from the fixing frame 330 so that the use of the insect trap lamp will not be affected when the fixing frame 330 rotates.

[0046] The insect attractant lamp assembly 350 is connected to the control module 500, and the control module 500 controls the insect attractant lamp assembly 350 to automatically turn on at night. The insect attractant lamp shines on each sticky insect board to attract pests at night, thereby improving the effectiveness of trapping lepidopteran pests at night.

[0047] The insect-attracting lamp in this scheme preferably adopts a 365nm wavelength purple LED lamp, which has a good effect on trapping lepidopteran pests at night.

[0048] In order to ensure the comprehensiveness of the collection of insect sticky boards by the collection module 400, the insect sticky board fixing frame 330 is equipped with a rotating component 310 and a driving component 320. The driving component 320 drives the rotating component 310 to drive the rotating component 310 to drive the fixing frame 330 and the insect sticky board assembly 340 to rotate, thereby ensuring the comprehensiveness of the information collected by the collection module 400 on the insect sticky board.

[0049] The driving assembly 320 is located at the bottom of the fixing frame 330 and is mounted on the second mounting plate 200 . The driving assembly 320 includes a driving motor and a positioning switch.

[0050] The positioning switch is connected to the control module and is also connected to the motor drive. The control module 500 controls the opening of the positioning switch and then drives the motor to rotate at a fixed angle.

[0051] The present invention does not limit the rotation angle of the driving motor. For example, if the fixing bracket 330 adopts a four-sided three-dimensional structure, the control module 500 controls the driving motor to rotate 90 degrees in sequence according to the set scheme to facilitate the camera to capture the picture.

[0052] The rotating assembly 310 includes a rotating shaft core 311, which runs through the fixed frame. One end of the rotating shaft core 311 is connected to the bearing of the first mounting plate 100, and the other end is connected to the driving motor. The rotation of the driving motor drives the fixed frame to rotate synchronously, so that the collection module 400 can collect the condition of the sticky insect board.

[0053] A plurality of connecting plates 312 are symmetrically arranged around the rotating shaft core 311 , one end of the connecting plate 312 is connected to the rotating shaft core 311 , and the other end is connected to the fixing frame 330 , and the rotational force of the rotating shaft core 311 is transmitted to the fixing frame 330 through the connecting plate 312 , driving the fixing frame 330 to rotate.

[0054] The connecting plate 312 in the present embodiment is preferably provided with a plurality of holes 313 . The plurality of holes 313 can reduce the mass of the connecting plate 312 and achieve a certain rapid heat dissipation effect.

[0055] The acquisition module 400 and the control module 500 are integrated into a mounting body and arranged opposite to the insect attractant module 300. The acquisition module 400 is used to photograph and collect the insect attractant module 300. The acquisition module 400 is directly connected to the control module 500 to transmit the collected insect attractant module 300 to the control module 500. The collected information is uploaded to the cloud analysis server through the control module 500 for image recognition and judgment, data statistics and comprehensive analysis.

[0056] The acquisition module 400 includes a shooting component 410, which is arranged on the mounting body and is arranged relative to the insect sticking board fixing frame 330. The insect sticking board is photographed by the shooting component 410 to obtain image information.

[0057] The shooting component 410 in this solution preferably adopts a high-definition camera, which is equipped with a 12MM fixed-focus lens, so as to make full use of the number of pixels of the camera and take pictures at the closest distance without distortion of the picture, so as to achieve ultra-high-definition picture.

[0058] At the same time, this high-definition camera has a Gigabit Ethernet communication interface, which is directly connected to the control module, enabling the control module to acquire images at high speed.

[0059] Secondly, in order to ensure a high degree of restoration of the captured image, the present solution adds a fill light component 420 around the shooting component 410. The fill light component 420 is arranged around the shooting component 410 and installed on the mounting body. The fill light component is connected to the control module 500. The control module 500 can control the fill light component 420 to fill light at various shooting angles of the shooting component 410 to highly restore the captured image.

[0060] The fill light component in this solution preferably uses a floodlight LED fill light with a color temperature of 6000K. It is turned on before taking pictures and automatically turned off after taking pictures. The fill light color temperature of about 6000K makes the pictures taken by the camera as high as possible, improves the accuracy of the pest image, and is conducive to more accurate pest image recognition in the later stage.

[0061] The control module 500 includes a communication unit, a first control unit, a second control unit, a third control unit, and a fourth control unit.

[0062] The first control unit is connected to the driving motor of the driving assembly 320, and the automatic rotation of the insect sticky board fixing frame 330 can be controlled by the first control unit.

[0063] The second control unit is connected to the insect attractant lamp assembly 350 , and the insect attractant lamp assembly 350 can be automatically turned on and off by the second control unit.

[0064] The third control unit is connected to the shooting component 410 , and the automatic shooting of the shooting component 410 can be controlled by the third control unit.

[0065] The fourth control unit is connected to the fill light assembly 420 , and the fourth control unit can control the automatic opening and closing of the fill light assembly 420 .

[0066] The communication unit is used to establish communication between the control module 500 and the cloud server. The communication unit can be used to upload the insect sticky board information collected by the shooting component 410 to the cloud server.

[0067] The cloud server is used to monitor the collected insect sticky board information regularly, accurately compare, intelligently analyze and effectively predict, and provide technical support for subsequent pest control. The cloud server includes an identification unit, a judgment unit and a prediction unit.

[0068] The recognition unit is used to extract features from the acquired pest image information, and the judgment unit compares the extracted features with the standard insect image library to determine the type of the pest.

[0069] Here, the pests are mainly identified by their external features, including but not limited to the head, thorax, abdomen, as well as the color, size, shape, etc. of the insect body; the number of legs and wings; antennae, etc.

[0070] The prediction unit determines the number of larvae per square meter based on the determined pest types and the pest control requirements of the crops planted, and predicts the current status of the pest situation. It also generates an analysis report on the pest situation, including the types and numbers of insects and recommendations for prevention and control measures, and the obtained analysis report is sent to the user's mobile phone APP, mini program or PC in real time for the user to obtain.

[0071] Embodiment 2:

[0072] Based on Example 1, in order to make full use of resources, this embodiment further includes a sensor component on the insect monitoring device to provide real-time and historical environmental information.

[0073] The sensor component is arranged on the first mounting plate and is data-connected with the control module. The sensor component comprises a light sensor, a temperature sensor and a humidity sensor.

[0074] The light sensor is used to detect the light intensity within the facility, the temperature sensor is used to detect the temperature within the facility, and the humidity sensor is used to detect the humidity within the facility.

[0075] This solution provides users with insect monitoring and real-time and historical environmental information by setting up sensor components on the insect monitoring device, achieving the goal of one machine with multiple functions and saving costs for users.

[0076] The intelligent vegetable insect pest detection device and method formed by the above scheme utilizes the color attraction and phototaxis of pests to capture pests by combining color attraction and light attraction.

[0077] At the same time, the device is equipped with an ultra-high-definition camera for real-world photography, and uses technologies such as image recognition and deep learning algorithms to achieve regular monitoring, accurate comparison, intelligent analysis and effective prediction of insect conditions, providing technical support for subsequent pest control.

[0078] The above-mentioned method of the present invention, or a specific system unit, or a part of the same, is a pure software architecture, which can be arranged on a physical medium, such as a hard disk, an optical disk, or any electronic device (such as a smart phone, a computer-readable storage medium) through program code. When the machine loads the program code and executes it (such as a smart phone loading and executing it), the machine becomes a device for implementing the present invention. The above-mentioned method and device of the present invention can also be transmitted in the form of program code through some transmission media, such as cables, optical fibers, or any transmission mode. When the program code is received, loaded and executed by a machine (such as a smart phone), the machine becomes a device for implementing the present invention.

[0079] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent device for detecting and reporting vegetable insect infestation in a facility, characterized in that: The utility model comprises a first mounting plate, a second mounting plate, an insect attracting module, a collection module, a control module and a cloud server end, wherein the first mounting plate and the second mounting plate are arranged opposite to each other, and an installation area of ​​the insect attracting module, the collection module and the control module is formed in the middle; the insect attracting module comprises a fixing frame, an insect sticking board assembly and an insect attracting lamp assembly, the insect sticking board assembly is arranged around the periphery of the fixing frame for capturing insect bodies, the insect attracting lamp is arranged around the top of the fixing frame for light luring of pests at night; the collection module is arranged relative to the insect attracting module and is directly connected to the control module, the collection module shoots and collects the insect attracting module and transmits the collected information to the control module, the control module is connected to the cloud server end, and transmits the collected information to the cloud server end for timed monitoring, accurate comparison, intelligent analysis and effective prediction of the insect situation.

2. The intelligent detection and reporting device for vegetable insect pests in facilities according to claim 1 is characterized in that: The fixing frame is provided with a plurality of mounting surfaces at the periphery, and each mounting surface is provided with grooves for mounting the insect sticking board assembly at the upper and lower ends.

3. The intelligent detection and reporting device for vegetable insect pests in facilities according to claim 1 is characterized in that: The insect attracting module is also equipped with a driving component and a rotating component. The driving component is located on the second mounting plate at the bottom of the fixed frame and is connected to the control module. The driving component drives the rotating component to drive the rotating component to rotate. The rotating component is connected to the fixed frame to drive the fixed frame to rotate.

4. The intelligent detection and reporting device for vegetable insect pests in facilities according to claim 3 is characterized in that: The driving assembly includes a driving motor and a positioning switch, wherein the positioning switch is connected to the control module and is connected to the motor drive. The control module triggers the opening of the positioning switch and controls the driving motor to drive the rotating assembly to rotate.

5. The intelligent detection and reporting device for vegetable insect pests in facilities according to claim 4 is characterized in that: The rotating assembly includes a rotating shaft core, which passes through the fixing frame and has two ends respectively connected to the first mounting plate and the driving motor, so that the fixing frame is driven to rotate synchronously through the rotation of the driving motor.

6. The intelligent detection and reporting device for vegetable insect pests in facilities according to claim 1 is characterized in that: The acquisition module is equipped with a fill light component, which is arranged around the acquisition module and connected to the control module. The control module can control the fill light component to fill light for each shooting angle of the shooting component.

7. The intelligent detection and reporting device for vegetable insect pests in facilities according to claim 1 is characterized in that: The cloud server includes an identification unit, a judgment unit and a prediction unit; the identification unit is used to extract features from the acquired pest image information, and the judgment unit compares and judges the extracted features with the standard insect library to determine the type of pest; the prediction unit predicts the current status of the insect situation in the facility according to the determined pest type and forms an analysis report on the insect situation results.

8. An intelligent method for detecting and reporting vegetable insect infestation in a facility, characterized in that: The method for intelligently monitoring and reporting vegetable insect infestation in a facility comprises the following steps: Step 1: During the day, according to the principle of pests' color attraction, use sticky insect boards to lure pests with colors, and at night, according to the principle of pests' phototaxis, use lights to trap pests; Step 2: Collect the image information of the sticky insect board in step 1 at different time periods and upload it to the cloud analysis server through the network for image recognition and judgment, data statistics and comprehensive analysis, and obtain an insect situation result analysis report; Step 3: Send the insect situation analysis report obtained in step 2 to the terminal in real time for the user to obtain.

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