CN214431228U - Automatic insect pest situation monitoring system based on artificial intelligence analysis - Google Patents

Abstract

The utility model discloses an insect pest situation automatic monitoring system based on artificial intelligence analysis, including luring the worm body and detecting the body, detect the body surface and be connected with and detect the body door, lure worm body middle part to be connected with transparent anticollision board, transparent anticollision board internal connection has the moth-killing lamp, lure worm body lower extreme is equipped with the funnel, funnel lower extreme intercommunication has the shunt tubes, shunt tubes lower extreme intercommunication has the stoving case, stoving incasement is equipped with image collector, drying apparatus and connects worm to tremble the ware, the image collector input is connected with the drying apparatus signal, and its output end signal connection connects worm to tremble the ware and upload the unit, upload the unit signal connection has cloud platform, detect the body lower extreme and be equipped with the collecting box, detect the body upper end and be equipped with central processing unit, the central processing unit output respectively with drying apparatus, moth-killing lamp and PC terminal signal connection, and its input and upload the unit signal connection; the user can directly check the related insect condition information from the mobile phone, and the insect condition monitoring method brings convenience to visual guidance for analyzing the insect condition information.

Description

Automatic insect pest situation monitoring system based on artificial intelligence analysis

Technical Field

The utility model relates to an insect pest situation monitoring field especially relates to an insect pest situation automatic monitoring system based on artificial intelligence analysis.

Background

Insect pests are the main factors causing the abnormal growth of crops, can seriously reduce the yield and the quality of the crops, strengthen the monitoring of insect pest situation, master the occurrence condition of the insect pests, grasp the right time and scientifically prevent and treat the insect pests. In the past, sugar-vinegar liquid, insect-attracting lamps and the like are used for attracting and killing insects, and the monitoring is carried out by manual visual inspection. In the field of modern intelligent agriculture and insect pest monitoring, a physical means of insect pest situation detecting and reporting lamp is generally adopted for insect pest situation, and the means has the lowest harm to environment and personnel and is one of the methods with the smallest ecological balance influence.

When the pest situation monitoring and reporting equipment is used for monitoring, scientific research personnel only need to monitor one or more pests in a certain specific time period or a specific area, particularly some large-volume pests which do not need to be monitored are doped with other pests outside a target body, the small-volume target pests are easy to leak from the small-volume target pests, an accurate pest situation picture cannot be easily shot, great errors and influences are brought to the monitoring and reporting accuracy of the target pests and pest prevention and judgment, and therefore the automatic pest situation monitoring system based on artificial intelligent analysis is provided.

SUMMERY OF THE UTILITY MODEL

In order to overcome the defects of the prior art, the utility model provides an insect pest situation automatic monitoring system based on artificial intelligence analysis provides one kind and can directly look over relevant insect pest situation information in the cell-phone with the insect pest situation information who gathers to the user in database through network sharing, and then brings the insect pest situation monitoring method of convenient vision guide for the user to the analysis of insect pest situation information.

In order to solve the technical problem, the utility model provides a following technical scheme: the utility model provides an insect pest situation automatic monitoring system based on artificial intelligence analysis, includes and lures the worm body and detects the body, the surface of detecting the body is connected with and detects the body door, the middle part of luring the worm body is connected with transparent anticollision board, the internal connection of transparent anticollision board has the moth-killing lamp, the lower extreme of luring the worm body is equipped with the funnel, it passes through the funnel intercommunication with the detection body to lure the worm body, the lower extreme intercommunication of funnel has the shunt tubes, the lower extreme intercommunication of shunt tubes has the stoving case, the upper and lower end of stoving case is equipped with image collector, drying-device and connects worm to tremble the ware respectively, the input end signal connection of image collector has the drying-device, and its output end signal connection connects worm tremble the ware and upload the unit, upload unit signal connection has cloud platform, the lower extreme of detecting the body is equipped with the collecting box, central processing unit's upper end is equipped with central processing unit, the output of central processing unit respectively with the drying-device, The trap lamp is in signal connection with the PC terminal, and the input end of the trap lamp is in signal connection with the uploading unit.

As a preferred technical scheme of the utility model, the shunt tubes includes the steel mesh that the lateral wall is connected, the material of steel mesh is the fine and close steel mesh of stainless steel, the lower extreme of steel mesh is connected with the rose box.

As an optimized technical scheme of the utility model, the last lower extreme of stoving case all is fixed with the backup pad with detecting the body lateral wall.

As an optimal technical scheme of the utility model, the inner diapire of detecting the body is fixed with the draw runner, the downside symmetry of collecting box is fixed with the slider that matches with the draw runner.

As an optimized technical scheme of the utility model, the material of transparent anticollision board is trilateral ya keli transparent plate.

As a preferred technical scheme of the utility model, the bottom side symmetry of detecting the body is fixed with the landing leg.

Compared with the prior art, the utility model discloses the beneficial effect that can reach is:

1. the winged insect is dropped into the drying box through the trap lamp, the transparent anti-collision plate, the funnel and the shunt pipe to carry out high-temperature insect killing on the winged insect, the winged insect is analyzed and compared through the matching of the image collector and the cloud platform, the insect condition is analyzed, after the insect condition is analyzed, the insect body is dropped into the collecting box through the insect receiving and scattering device to be collected, finally, data information obtained through gathering and analyzing the insect condition information is transmitted to the PC terminal through the central processing unit, a user can directly check the related insect condition information from the mobile phone, and therefore the insect condition monitoring method brings convenience for visual guidance to the analysis of the insect condition information by the user;

2. through the matching of the sliding block and the sliding strip, the collection box is convenient to take out and put in, and the efficiency of cleaning insects in the collection box is improved;

drawings

Fig. 1 is a schematic structural view of the present invention;

fig. 2 is a front view of the present invention;

fig. 3 is a side view of the present invention;

FIG. 4 is a system diagram of the present invention;

in the figure: 1. trapping insects; 2. detecting a body; 3. a trap lamp; 4. a transparent bumper plate; 5. a funnel; 6. a shunt tube; 7. a steel mesh; 8. a filter box; 9. a support plate; 10. a drying box; 11. an insect receiving and shaking device; 12. a collection box; 13. a dryer; 14. a slide bar; 15. a slider; 16. a detection body gate; 17. an image collector.

Detailed Description

In order to make the technical means, the creation features, the achievement purposes and the functions of the invention easy to understand, the invention is further explained below with reference to the specific embodiments, but the following embodiments are only the preferred embodiments of the invention, not all. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative work belong to the protection scope of the present invention. The experimental methods in the following examples are conventional methods unless otherwise specified, and materials, reagents and the like used in the following examples are commercially available unless otherwise specified.

Example (b):

as shown in figures 1-4, the utility model provides an automatic monitoring system of insect pest situation based on artificial intelligence analysis, which comprises an insect trapping body 1 and a detecting body 2, wherein the surface of the detecting body 2 is connected with a detecting body door 16, the middle part of the insect trapping body 1 is connected with a transparent anti-collision plate 4, the inner part of the transparent anti-collision plate 4 is connected with an insect trapping lamp 3, the lower end of the insect trapping body 1 is provided with a funnel 5, the insect trapping body 1 and the detecting body 2 are communicated through the funnel 5, the lower end of the funnel 5 is communicated with a shunt tube 6, the lower end of the shunt tube 6 is communicated with a drying box 10, the upper end and the lower end of the drying box 10 are respectively provided with an image collector 17, a dryer 13 and an insect receiving and scattering device 11, the input end of the image collector 17 is connected with a dryer 13 and the output end of the image collector is connected with an insect receiving and scattering device 11 and an uploading unit, the uploading unit is connected with a cloud platform through signals, the lower end of the detecting body 2 is provided with a collecting box 12, the upper end of the detection body 2 is provided with a central processing unit, the output end of the central processing unit is respectively in signal connection with the dryer 13, the trap lamp 3 and the PC terminal, and the input end of the central processing unit is in signal connection with the uploading unit;

attract the winged insect to be close to through trap lamp 3 and lure the polypide 1, fall into funnel 5 when the transparent crashproof board of winged insect striking 4, then fall into the inside of stoving case 10 with the winged insect through shunt tubes 6, be 17 through central processing unit controlgear operating time: 00-6: 00, controlling the interval of the image collector 17 to be 1 hour, controlling the insect killing time of the dryer 13 to be 15 minutes, controlling the image collector 17 to start to take a picture after the high-temperature insect killing is finished, uploading the picture to a cloud platform, analyzing and comparing the insects, analyzing the insect situation, controlling the insect receiving and shaking device 11 to automatically drop the insects into the collecting box 12 after the insect situation information is collected, then automatically cleaning and manually cleaning the insects at the later stage, the apparatus is set at a place where pests gather to reach a predetermined level of destruction of harmful pests, accuracy of identifying harmful pests is performed based on apparatus analysis data and suspicious phototaxis pest images, in addition, the data information obtained by summarizing and analyzing the insect situation information can be transmitted to a PC terminal through a central processing unit, the insect condition monitoring method has the advantages that a user can directly check related insect condition information from a mobile phone, and therefore, the user can analyze the insect condition information to bring convenience to visual guidance; dryer 13 adopts 300w power physiotherapy lamp to carry out the deinsectization, and image collector 17 adopts 200w pixel 1080P face identification camera.

In another embodiment, as shown in fig. 1, the present embodiment discloses that the shunt tube 6 includes a steel mesh 7 connected to the side wall, the steel mesh 7 is made of stainless steel fine and dense steel mesh, and the lower end of the steel mesh 7 is connected to a filter box 8, so as to distinguish the insect body, rain water and impurities, and better send the insect body into the drying box 10.

In another embodiment, as shown in fig. 1, this embodiment discloses that support plates 9 are fixed to the side walls of the detection body 2 at both the upper and lower ends of the drying box 10, thereby improving the stability of the apparatus.

In another embodiment, as shown in fig. 2, this embodiment discloses that a slide 14 is fixed on the inner bottom wall of the detecting body 2, and sliders 15 matched with the slide 14 are symmetrically fixed on the lower side of the collecting box 12, so as to facilitate the taking out and putting in of the collecting box 12 and improve the efficiency of cleaning the worm bodies in the collecting box 12.

In another embodiment, as shown in fig. 1, the present embodiment discloses that the transparent anti-collision plate 4 is a three-sided acrylic transparent plate, so as to increase the illumination area of the trap lamp 3.

In another embodiment, as shown in fig. 1, the present embodiment discloses that the bottom side of the detecting body 2 is symmetrically fixed with legs to reduce the friction between the bottom side of the apparatus and the ground.

In the present disclosure, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may comprise direct contact between the first and second features, or may comprise contact between the first and second features not directly. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.

The foregoing shows and describes the general principles, essential features, and advantages of the invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the description in the above embodiments and the description is only preferred examples of the present invention, and is not intended to limit the present invention, and that the present invention can have various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications all fall into the scope of the claimed invention. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (6)

1. The utility model provides an insect pest situation automatic monitoring system based on artificial intelligence analysis, is including luring worm body (1) and detecting body (2), the surface of detecting body (2) is connected with detects body door (16), its characterized in that: the insect attracting device is characterized in that a transparent anti-collision plate (4) is connected to the middle of the insect attracting body (1), a trap lamp (3) is connected to the inside of the transparent anti-collision plate (4), a funnel (5) is arranged at the lower end of the insect attracting body (1), the insect attracting body (1) is communicated with the detecting body (2) through the funnel (5), a shunt pipe (6) is communicated with the lower end of the funnel (5), a drying box (10) is communicated with the lower end of the shunt pipe (6), an image collector (17), a dryer (13) and an insect receiving and dispersing device (11) are respectively arranged at the upper end and the lower end of the drying box (10), a dryer (13) is connected to an input end signal of the image collector (17), an insect receiving and dispersing device (11) and an uploading unit are connected to an output end signal of the image collector (17), a cloud platform is connected to the uploading unit, a collecting box (12) is arranged at the lower end of the detecting body (2), the upper end of the detection body (2) is provided with a central processing unit, the output end of the central processing unit is respectively in signal connection with the dryer (13), the trap lamp (3) and the PC terminal, and the input end of the central processing unit is in signal connection with the uploading unit.

2. The system according to claim 1, wherein the system comprises: shunt tubes (6) are including steel mesh (7) that the lateral wall is connected, the material of steel mesh (7) is the fine and close steel mesh of stainless steel, the lower extreme of steel mesh (7) is connected with rose box (8).

3. The system according to claim 1, wherein the system comprises: and supporting plates (9) are fixed at the upper end and the lower end of the drying box (10) and the side wall of the detection body (2).

4. The system according to claim 1, wherein the system comprises: a sliding strip (14) is fixed on the inner bottom wall of the detection body (2), and sliding blocks (15) matched with the sliding strip (14) are symmetrically fixed on the lower side of the collection box (12).

5. The system according to claim 1, wherein the system comprises: the transparent anti-collision plate (4) is made of a three-sided acrylic transparent plate.

6. The system according to claim 1, wherein the system comprises: supporting legs are symmetrically fixed on the bottom side of the detection body (2).

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