Tobacco insect monitoring and early warning system for tobacco leaf storage

Abstract

The invention belongs to the technical field of deinsectization, and discloses a tobacco insect monitoring and early warning system for a tobacco leaf storage warehouse. The system comprises a high-definition intelligent camera, a tobacco insect trapping plate, a processor and an early warning device, the tobacco insect trapping plate traps tobacco insect samples, the high-definition intelligent camera collects images of the tobacco insect samples on the tobacco insect trapping plate and sends the images to the processor, and the processor is provided with an AI self-learning algorithm of the visual technology, distinguishes tobacco insects from other insect foreign matters, processes the image samples, identifies the tobacco insects and counts the number; the early warning device carries out early warning of different levels according to the number of tobacco insects. The system can timely and effectively reflect insect pest disasters in a reservoir area, early warning is carried out before the disasters are formed, economic losses caused by the insect pest disasters can be effectively avoided, the insect pest situation can be fed back to a command center in real time through a system networking function, monitoring result data are visually displayed through a system display board, and the system is convenient to use. And a data basis is created for formulating pest control measures.

Description

Technical Field

[0001] The invention relates to the technical field of tobacco insect catching, and in particular to a tobacco insect monitoring and early warning system in a tobacco leaf storage warehouse. Background Art

[0002] The traditional method of monitoring insect infestation in tobacco reserve warehouses is to set up traps, select pheromone trapping devices to trap tobacco insects, and then manually count the number of trapped tobacco insects. The number of tobacco insects and the damage situation in the warehouse area are estimated based on the overall idea of ​​sample estimation. This method is labor-intensive, and the traditional traps have poor trapping effects and need to be improved.

[0003] With the gradual popularization of intelligent management, the traditional manual management model is gradually disappearing in the increasingly competitive environment. Manual inspections of pests in the reservoir area are time-consuming and labor-intensive. The AI ​​monitoring system based on visual technology and genetic self-learning algorithms has better recognition effects. Moreover, visual algorithms are widely used and can be applied to almost all image recognition scenarios, including material recognition, abnormality monitoring, etc., and have high research value. Summary of the invention

[0004] The purpose of the present invention is to provide a tobacco leaf reserve warehouse tobacco insect monitoring and early warning system to solve the technical problems of the prior art that the prior art is labor-intensive and has a poor trapping effect.

[0005] To achieve this object, the present invention adopts the following technical solutions:

[0006] A tobacco insect monitoring and early warning system for a tobacco leaf reserve warehouse, the system comprising: a high-definition intelligent camera, a tobacco insect trapping plate, a processor and an early warning device; the tobacco insect trapping plate traps tobacco insect samples, the high-definition intelligent camera collects images of the tobacco insect samples on the tobacco insect trapping plate, and sends them to the processor, the processor is provided with an AI self-learning algorithm of visual technology, distinguishes tobacco insects from other insect foreign bodies, processes image samples, identifies the tobacco insects and counts the number; the early warning device issues early warnings of different levels according to the number of tobacco insects.

[0007] Preferably, it also includes an insect-attracting ultraviolet lamp; the insect-attracting ultraviolet lamp irradiates the tobacco insect trapping plate to play a double role of attracting tobacco insects.

[0008] Preferably, the lamp bead size of the insect-attracting ultraviolet lamp is 365~370nm and the power is 1W.

[0009] Preferably, it also includes: a white light fill light; the white light fill light provides fill light for the high-definition smart camera.

[0010] Preferably, it also includes: a dual-lamp control switching circuit; the dual-lamp control switching circuit switches the white light fill lamp and the insect-attracting ultraviolet lamp.

[0011] Preferably, it also includes: a high-sensitivity light sensor; the high-sensitivity light sensor collects environmental conditions and controls the dual-lamp control switching circuit to select the type of lamp.

[0012] Preferably, it also includes: a power supply system based on a local area network; the power supply system based on a local area network transmits signals to the high-definition smart camera and the processor, and provides power for the high-definition smart camera, insect-attracting ultraviolet lamp and white light fill lamp.

[0013] Preferably, the early warning device comprises an early warning collection module and an early warning release module: the early warning collection module collects the tobacco insect quantity information and sends it to the early warning release module, and the early warning release module releases the information in different forms according to the tobacco insect quantity information.

[0014] Preferably, the high-definition smart camera is sealed by a sealed housing with a sealing level of IP68.

[0015] The beneficial effects of the present invention are as follows: a tobacco leaf reserve warehouse tobacco insect monitoring and early warning system can timely and effectively respond to insect pest disasters in the warehouse area, issue early warnings before the disaster occurs, and effectively avoid economic losses caused by insect disasters. The system networking function can feed back the insect pest situation to the command center in real time, and visualize the monitoring result data through the system display board, creating a data basis for the formulation of insect pest control measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the contents of the embodiments of the present invention and these drawings without paying any creative work.

[0017] Figure 1 It is a structural schematic diagram of a high-definition intelligent camera of a tobacco leaf reserve tobacco insect monitoring and early warning system of the present invention;

[0018] In the picture: 1. High-definition smart camera, 2. Sealed shell, 3. LED ultraviolet lamp beads, 4. LED white light lamp, 5. High-sensitivity light sensing probe. DETAILED DESCRIPTION

[0019] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0020] In the description of the present invention, unless otherwise clearly specified and limited, the terms "connected", "connected", and "fixed" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0022] In the description of this embodiment, the terms "upper", "lower", "left", "right" and other directions or positional relationships are based on the directions or positional relationships shown in the drawings, and are only for the convenience of description and simplification of operation, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operate in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used to distinguish in the description and have no special meaning.

[0023] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0024] The present invention provides a tobacco leaf reserve tobacco insect monitoring and early warning system, the system includes: a high-definition intelligent camera, a tobacco insect trapping plate, a processor and an early warning device; the tobacco insect trapping plate traps tobacco insect samples, the high-definition intelligent camera collects images of tobacco insect samples on the tobacco insect trapping plate, and sends them to the processor, the processor is provided with an AI self-learning algorithm of visual technology, distinguishes tobacco insects from other insect foreign bodies, processes image samples, identifies tobacco insects and counts the number; the early warning device performs different levels of early warning according to the number of tobacco insects. The AI ​​self-learning algorithm based on visual technology can continuously increase the number of tobacco insects that can be identified through model training, and the efficiency of tobacco insect identification will gradually increase through the gradual increase of background data; on the basis of tobacco insect identification and counting, the growth rate of tobacco insects can be calculated, and insect situation early warning can be performed according to the growth rate of tobacco insects.

[0025] like Figure 1 As shown, the high-definition smart camera 1 uses a 6-megapixel high-definition smart camera, which is sealed by a sealed housing 2 with a sealing level of IP68 to prevent the phosphine gas used for tobacco insect disinfecting from corroding the equipment.

[0026] The insect-attracting ultraviolet lamp is arranged on the sealed housing 2. The insect-attracting ultraviolet lamp is an LED ultraviolet lamp. The size of the LED ultraviolet lamp bead 3 is 365-370nm and the power is 1W. The optical axis of the insect-attracting ultraviolet lamp is parallel to the optical axis of the high-definition smart camera 1 or there is a very small angle. The insect-attracting ultraviolet lamp irradiates the tobacco insect trapping plate, which has a double attraction effect on tobacco insects.

[0027] The white light fill-in lamp is arranged on the sealed housing 2, close to the insect-attracting ultraviolet lamp; in the present embodiment, the white light fill-in lamp is an LED white light lamp 4, which fills in light for the high-definition smart camera 1. The signal is transmitted to the high-definition smart camera 1 and the processor through the power supply system based on the local area network, and the high-definition smart camera 1, the insect-attracting ultraviolet lamp and the white light fill-in lamp are powered. There is no lighting equipment in the warehouse, and the light is dim. The high-definition smart camera 1 needs fill-in light to shoot high-definition pictures. In order to attract insects, an LED ultraviolet lamp is installed outside the high-definition smart camera 1, and is switched through a dual-lamp control switching circuit. The dual-lamp control switching circuit controls the dual-lamp control switching circuit according to the environmental state collected by the high-sensitivity light sensing sensor. In a dark environment, for example, the LED ultraviolet lamp is turned on at night, and the LED white light lamp 4 is switched to take high-definition photos of the captured tobacco insects during the day.

[0028] The tobacco insect trapping board is equipped with a sex attractant core, which, together with the LED ultraviolet lamp, has a double attraction effect on tobacco insects, and the tobacco insect samples are captured through the adhesive of the tobacco insect trapping board.

[0029] The tobacco leaf reserve warehouse tobacco insect monitoring and early warning system is installed on the hidden walls of multiple units in the tobacco leaf reserve warehouse to adapt to the tobacco insects' preference for small spaces. The high-definition smart camera 1 will capture the tobacco insect images and transmit the signals to the computer room server through the LAN-based power supply system.

[0030] The early warning device includes an early warning collection module and an early warning release module: the early warning collection module collects tobacco insect quantity information and sends it to the early warning release module, and the early warning release module releases it in different forms according to the tobacco insect quantity information.

[0031] The early warning release module is mainly composed of the administrator's desktop pop-up window, the monitoring room display screen, the outdoor large screen, and the SMS push device. The administrator can use the early warning release module to view the data information filtered and processed by the processor in real time, and can remotely view the real-time capture images of the camera in the warehouse; the early warning release module releases the collected data and early warning information for playback on the large display screen.

[0032] When the early warning collection module detects insect infestation, it divides the early warning into three levels according to the number of tobacco insects captured. The general early warning is that the number of tobacco insects is small, with an increase of 1-2 heads per day. At this time, only the tobacco insect statistical report is pushed to remind the management personnel to confirm the insect situation; the intermediate early warning is that the number of tobacco insects is relatively large, with an increase of 2-4 heads per day. At this time, the early warning information is pushed and scrolled on the large screen; when the number of tobacco insects detected exceeds the set threshold of 5-6 heads, a serious early warning is issued. In addition to the red font scrolling on the large screen, the serious early warning will also trigger a text message push to remind the management personnel to arrange disinfection as soon as possible to avoid tobacco leaf losses caused by insect pests.

[0033] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, various obvious changes, readjustments and substitutions can be made without departing from the protection scope of the present invention. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A tobacco leaf reserve tobacco insect monitoring and early warning system, characterized in that: The system includes: a high-definition intelligent camera, a tobacco insect trapping plate, a processor and an early warning device; the tobacco insect trapping plate traps tobacco insect samples, the high-definition intelligent camera collects images of the tobacco insect samples on the tobacco insect trapping plate and sends them to the processor, the processor is equipped with an AI self-learning algorithm of visual technology, distinguishes tobacco insects from other insect foreign matter, processes image samples, identifies the tobacco insects and counts the number; the early warning device issues different levels of early warnings according to the number of tobacco insects.

2. A tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 1, characterized in that: It also includes an insect-attracting ultraviolet lamp; the insect-attracting ultraviolet lamp shines on the tobacco insect trapping plate, playing a double role of attracting tobacco insects.

3. A tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 2, characterized in that: The lamp bead size of the insect-attracting ultraviolet lamp is 365-370nm, and the power is 1W.

4. A tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 2, characterized in that: Also includes: White light fill light; the white light fill light is used to fill light for the high-definition smart camera.

5. A tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 4, characterized in that: Also includes: A dual-lamp control switching circuit; the dual-lamp control switching circuit switches the white light fill light and the insect-attracting ultraviolet light.

6. A tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 5, characterized in that: Also includes: High-sensitivity light sensor; the high-sensitivity light sensor collects environmental conditions and controls the dual-lamp control switching circuit to select the type of lamp.

7. A tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 4, characterized in that: It also includes: a power supply system based on a local area network; the power supply system based on a local area network transmits signals to the high-definition smart camera and the processor, and provides power for the high-definition smart camera, insect-attracting ultraviolet lamp and white light fill lamp.

8. The tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 1, characterized in that: The early warning device comprises an early warning collection module and an early warning release module: the early warning collection module collects tobacco insect quantity information and sends it to the early warning release module, and the early warning release module releases the information in different forms according to the tobacco insect quantity information.

9. The tobacco leaf reserve tobacco insect monitoring and early warning system according to claim 1, characterized in that: The high-definition smart camera is sealed by a sealed housing with a sealing level of IP68.

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