Tobacco leaf grading and sorting device based on intelligent identification

The tobacco leaf grading and sorting device using intelligent identification technology has achieved automated grading and sorting of tobacco leaves, solving the problems of low efficiency and poor accuracy of traditional manual grading, improving grading efficiency and protecting the integrity of tobacco leaves.

CN224155107UActive Publication Date: 2026-04-24HONGHEZHOU BRANCH OF YUNNAN TOBACCO
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
HONGHEZHOU BRANCH OF YUNNAN TOBACCO
Filing Date
2025-05-07
Publication Date
2026-04-24

AI Technical Summary

Technical Problem

Traditional tobacco leaf grading and sorting relies on manual operation, which is labor-intensive, inefficient, and the accuracy of grading is greatly affected by human factors, making it difficult to meet the tobacco industry's requirements for high consistency and precision.

Method used

The tobacco leaf grading and sorting device based on intelligent recognition includes a conveying unit, a grading unit, and a sorting unit. It uses an image acquisition module and a processor for automated grading and a control unit to control the sorting unit to achieve automatic sorting of tobacco leaves.

Benefits of technology

It has enabled the automation of tobacco leaf grading, improving grading efficiency and accuracy, reducing labor costs, and protecting the integrity of tobacco leaves.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN224155107U_ABST
    Figure CN224155107U_ABST
Patent Text Reader

Abstract

The utility model discloses a tobacco leaf grading and sorting device based on intelligent identification, which relates to the technical field of tobacco leaf conveying and storage and comprises a conveying unit, a grading unit, a sorting unit and a control unit. The conveying unit comprises a first conveying belt, the sorting unit is arranged at the tail end of the first conveying belt, the grading unit is arranged above the first conveying belt, the control unit is arranged on the outer side of the conveying unit, and the control unit is in control connection with the conveying unit, the grading unit and the sorting unit. The first conveying belt is used for conveying tobacco leaves, the grading unit is used for scanning and grading the tobacco leaves, and the control unit is used for controlling the sorting unit to sort the tobacco leaves according to grading information of the grading unit on the tobacco leaves. By means of the arrangement, the whole process of tobacco leaf grading can be achieved without manual participation in the whole process, the slicing, grading and grading efficiency is effectively improved, cost is reduced, and the tobacco leaf grading device has wide application prospects.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This utility model relates to the field of tobacco leaf conveying and storage technology, and in particular to a tobacco leaf grading and sorting device based on intelligent identification. Background Technology

[0002] Tobacco leaf grading is crucial for production and quality control in the tobacco industry. The need for industry standardization is urgent; with the increasing consolidation of the tobacco industry, enterprises are demanding more standardized and automated tobacco leaf grading. International tobacco trade has stringent requirements for grading accuracy, and traditional manual sorting cannot meet the demands of large-scale, highly consistent production.

[0003] In the tobacco processing industry, accurate grading and efficient sorting of tobacco leaves are crucial. Traditional tobacco grading and sorting methods rely heavily on manual operation, which is not only labor-intensive and inefficient, but also prone to errors due to human factors. Therefore, there is a need for an intelligent grading and sorting device that can improve the accuracy and efficiency of tobacco grading while protecting the integrity of the tobacco leaves. Utility Model Content

[0004] In view of the above-mentioned defects or deficiencies in the prior art, the present invention provides a tobacco leaf grading and sorting device based on intelligent identification.

[0005] To achieve the above objectives, this utility model provides a tobacco leaf grading and sorting device based on intelligent identification, comprising:

[0006] Conveying unit, grading unit, sorting unit, and control unit;

[0007] The conveying unit includes a first conveyor belt, the sorting unit is located at the end of the first conveyor belt, the grading unit is located above the first conveyor belt, and the control unit is located outside the conveying unit. The control unit is connected to the conveying unit, the grading unit and the sorting unit respectively.

[0008] The first conveyor belt is used to transport tobacco leaves, the grading unit is used to scan the tobacco leaves, and the control unit is used to control the sorting unit to collect the tobacco leaves by grade according to the scanning information of the tobacco leaves by the grading unit.

[0009] Preferably, the grading unit includes a first image acquisition module, a second image acquisition module, a grading processor, a grading result display, and a rack;

[0010] The frame is installed on both sides of the first conveyor belt and above the first conveyor belt. Along the conveying direction of the first conveyor belt, the first image acquisition module is set on the top of the frame and is located upstream of the first conveyor belt. The second image acquisition module is set on the top of the frame and is located downstream of the first conveyor belt.

[0011] The grading processor is disposed on the side of the rack and located between the first image acquisition module and the second image acquisition module. The grading result display is disposed on the rack. The grading processor is controlled and connected to the first image acquisition module, the second image acquisition module and the grading result display respectively. The grading processor is controlled and connected to the control unit. The first image acquisition module and the second image acquisition module are used to acquire tobacco leaf images. The grading processor is used to make the grading result display show tobacco leaf grading information according to the grading results.

[0012] Preferably, the sorting unit includes multiple sorting modules, which are connected in a driving manner to transport tobacco leaves from one sorting module to the next.

[0013] The sorting module includes a sorting bracket, a sorting cylinder, a second conveyor belt, and a sorting trough. The second conveyor belt is mounted on the sorting bracket and connected to the end of the first conveyor belt. The sorting cylinder is located at the bottom of the second conveyor belt and is controlled by the control unit. The sorting cylinder is used to control the vertical reciprocating movement of the second conveyor belt. The sorting trough is correspondingly located at the bottom of the second conveyor belt. When the second conveyor belt moves downward, the tobacco leaves on it move to the end of the second conveyor belt and fall into the sorting trough.

[0014] Preferably, the conveying unit further includes a drive roller, a support roller, a tension roller, and a drive motor. Multiple support rollers are provided and disposed between the drive roller and the tension roller. The first conveyor belt is wound around the drive roller, the support roller, and the tension roller. The drive motor is controlled and connected to the drive roller. The drive motor is used to control the rotation of the drive roller to move the first conveyor belt. The tension roller is used to adjust the tension of the first conveyor belt.

[0015] Preferably, the control unit includes a main controller and an image processing module, the main controller being controlled and connected to the image processing module and the sorting unit, and the image processing module being controlled and connected to the grading processor;

[0016] The image processing module is used to grade the tobacco leaves in the image scanned by the grading unit, and the main controller is used to control the sorting unit's operation based on the tobacco leaf grading information, and to control the grading result display to show the grading results.

[0017] Preferably, an elastic buffer pad is provided at the end of the second conveyor belt facing the first conveyor belt, the elastic buffer pad being used to mitigate the impact of the tobacco leaves.

[0018] Preferably, a mounting bracket is provided on the sorting bracket, with both ends of the mounting bracket fixed to the two sides of the sorting bracket, and an infrared rangefinder is provided on the mounting bracket for detecting the movement of the second conveyor belt.

[0019] Preferably, the control unit further includes a human-machine interface, which is connected to the main controller and is used to display the control results of the main controller and for human-machine interaction.

[0020] Preferably, the first image acquisition unit and the second image acquisition unit each include a lens, a photosensitive element, and an image transmission interface. The photosensitive element is connected to the leveling processor through the image transmission interface. The photosensitive element is used to sense whether tobacco leaves have passed by, and the lens is used to capture images of the tobacco leaves.

[0021] Preferably, an alarm is also provided on the rack, and the alarm is connected to the grading processor for control. When the tobacco leaf images scanned by the first image acquisition module and the second image acquisition module are incorrect, the alarm is used to issue a reminder.

[0022] Based on this, the beneficial effects of this utility model are as follows:

[0023] 1. Through the solution of this utility model, the grading unit can take pictures of tobacco leaves to obtain tobacco leaf images, and the control unit can grade the tobacco leaves according to the tobacco leaf images, realizing the automated operation of tobacco leaf grading. The whole system only requires one person to participate in the entire process of tobacco leaf grading, which solves the problems of low efficiency and high error rate of traditional manual grading technology, effectively improves the efficiency of slicing, grading and classification, and reduces costs;

[0024] 2. The present invention provides an elastic buffer pad at the end of the second conveyor belt facing the first conveyor belt, which can reduce the impact on the tobacco leaves during the sorting process, ensure the integrity of the tobacco leaves, and reduce the damage to the tobacco leaves during the sorting process. Attached Figure Description

[0025] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0026] Figure 1 A schematic diagram illustrating the structure of a tobacco leaf grading and sorting device according to one embodiment of the present invention;

[0027] Figure 2 A schematic diagram illustrating the structure of a grading unit according to one embodiment of the present invention;

[0028] Figure 3 This schematic diagram illustrates the structure of a first conveyor belt according to one embodiment of the present invention.

[0029] Explanation of reference numerals in the attached drawings: 10-Conveying unit, 101-First conveyor belt, 102-Drive roller, 103-Support roller, 104-Tension roller, 105-Drive motor, 20-Grading unit, 201-First image acquisition module, 202-Second image acquisition module, 203-Grading processor, 204-Grading result display, 205-Frame, 206-Alarm, 30-Sorting unit, 301-Sorting module, 3011-Sorting bracket, 3012-Second conveyor belt, 3013-Sorting trough, 3014-Elastic buffer pad, 302-Mounting bracket, 303-Infrared rangefinder. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0031] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. The singular forms "a," "the," and "the" as used in the embodiments of this application are also intended to include the plural forms unless the context clearly indicates otherwise.

[0032] It should be understood that although terms such as first, second, third, etc., may be used to describe related structures in the embodiments of this application, these related structures should not be limited to these terms. These terms are only used to distinguish related structures from each other.

[0033] Depending on the context, the word "if" as used here can be interpreted as "when" or "when". Similarly, depending on the context, the phrase "if determined" can be interpreted as "when determined" or "when (the condition or event of the statement) is detected".

[0034] It should be noted that the directional terms such as "upper," "lower," "left," and "right" described in the embodiments of this application are used to describe the angles shown in the accompanying drawings and should not be construed as limiting the embodiments of this application. Furthermore, in the context, it should also be understood that when it is mentioned that an element is formed "upper" or "lower" of another element, it can not only be formed directly "upper" or "lower" of the other element, but also indirectly "upper" or "lower" of the other element through an intermediate element.

[0035] Figure 1 This diagram illustrates the structure of a tobacco leaf grading and sorting device according to one embodiment of the present invention. Figure 2 This schematic diagram illustrates the structure of a grading unit according to one embodiment of the present invention. Figure 3 This schematic diagram illustrates the structure of a first conveyor belt according to one embodiment of the present invention, as shown below. Figure 1-3 As shown, this utility model discloses a tobacco leaf grading and sorting device based on intelligent identification, comprising:

[0036] Conveying unit 10, grading unit 20, sorting unit 30 and control unit (not shown in the figure);

[0037] The conveying unit 10 includes a first conveyor belt 101, a sorting unit 30 disposed at the end of the first conveyor belt 101, a grading unit 20 disposed above the first conveyor belt 101, and a control unit disposed outside the conveying unit 10. The control unit is connected to the grading unit 20 and the sorting unit 30 respectively.

[0038] The first conveyor belt 101 is used to transport tobacco leaves, the grading unit 20 is used to scan and grade the tobacco leaves, and the control unit is used to control the sorting unit 30 to sort the tobacco leaves according to the scanning information of the tobacco leaves by the grading unit 20.

[0039] Specifically, the conveying unit 10 further includes a drive roller 102, a support roller 103, a tension roller 104, and a drive motor 105. Multiple support rollers 103 are provided and disposed between the drive roller 102 and the tension roller 104. The first conveyor belt 101 is wound around the drive roller 102, the support roller 103, and the tension roller 104. The control unit is connected to the drive motor 105, and the drive motor 105 is connected to the drive roller 102. The drive motor 105 is used to control the rotation of the drive roller 102 to move the first conveyor belt 101 and realize the conveying of tobacco leaves. The tension roller 104 is used to adjust the tension of the first conveyor belt 101 so that the first conveyor belt 101 is always in a taut state.

[0040] Furthermore, the grading unit 20 includes a first image acquisition module 201, a second image acquisition module 202, a grading processor 203, a grading result display 204, and a rack 205;

[0041] The frame 205 is installed on both sides of the first conveyor belt 101 and above the first conveyor belt 101. Along the conveying direction of the first conveyor belt 101, the first image acquisition module 201 is set on the top of the frame 205 and is located upstream of the first conveyor belt 101. The second image acquisition module 202 is set on the top of the frame 205 and is located downstream of the first conveyor belt 101.

[0042] The grading processor 203 is disposed on the side of the rack 205 and located between the first image acquisition module 201 and the second image acquisition module 202. The grading result display 204 is disposed on the rack 205. The grading processor 203 is controlled and connected to the first image acquisition module 201, the second image acquisition module 202 and the grading result display 204 respectively. The grading processor 203 is also controlled and connected to the control unit. The first image acquisition module 201 and the second image acquisition module 202 are used to acquire tobacco leaf images. The grading processor 203 is used to grade the tobacco leaves and display the tobacco leaf grading information on the grading result display 204.

[0043] Specifically, the first image acquisition module 201 and the second image acquisition module 202 respectively include a lens (not shown in the figure), a photosensitive element (not shown in the figure), and an image transmission interface (not shown in the figure). The lens is fixed to the front end of the photosensitive element, and the image transmission interface is located at the rear end of the photosensitive element. The photosensitive element is connected to the grading processor 203 through the image transmission interface. The photosensitive element is used to sense whether the tobacco leaves have passed by, and the lens is used to capture images of the tobacco leaves. After capturing the images of the tobacco leaves, they are transmitted to the grading processor 203 through the image transmission interface, and then sent to the control unit for image recognition and tobacco leaf grading. After the control unit finishes processing, it sends the information to the grading processor 203, which displays the tobacco leaf grading information on the grading result display 204 for the user to view.

[0044] Using the first image acquisition module 201 and the second image acquisition module 202 to scan and photograph tobacco leaves simultaneously enables multi-angle coverage of tobacco leaves, and can completely capture the three-dimensional shape, edge contour and surface defects (such as mold spots) of tobacco leaves, avoiding the omission of features caused by the stacking and curling of tobacco leaves under single-view printing. At the same time, the two scanning and photographing together enhance the overall redundancy data. Through cross-validation of data from the two modules, the probability of misjudgment caused by light fluctuations and local occlusion can be reduced. It is especially suitable for irregular tobacco leaves or high-density sorting scenarios, and improves the accuracy of tobacco leaf sorting.

[0045] Furthermore, the grading processor 203 is located between the first image acquisition module 201 and the second image acquisition module 202, and the grading result display 204 is mounted on the rack 205. The grading processor 203 and the grading result display 204 are located on the inner and outer sides of the rack 205, respectively. Through the overall distributed processing architecture, the timeliness is optimized, the image transmission latency is reduced, and the millisecond-level response requirements of the production line are met.

[0046] Furthermore, the grading processor 203 is internally equipped with an image processing module, which includes an image recognition module, a data processing module, and a result output module. The image recognition module is located at the front end of the image processing module, the data processing module is located at the back end of the image recognition module, and the result output module is located at the back end of the data processing module. The image processing module is used to identify the image features of the tobacco leaves, the data processing module is used to process the data output by the image recognition module, and the result output module is used to output the processed data to the grading result display 204 and the control unit.

[0047] Furthermore, an alarm 206 is also installed on the rack 205. The alarm 206 is connected to the classification processor 203. When the tobacco leaf images scanned by the first image acquisition module 201 and the second image acquisition module 202 are incorrect, such as when multiple tobacco leaves are severely damaged, a large number of tobacco leaves are stacked, or there are foreign objects in the tobacco leaves, the alarm 206 is used to issue a reminder so that the operator can make adjustments.

[0048] Furthermore, the sorting unit 30 includes a plurality of sorting modules 301, which are connected in a transmission manner to transport tobacco leaves from one sorting module 301 to the next sorting module 301;

[0049] The sorting module 301 includes a sorting bracket 3011, a sorting cylinder (not shown in the figure), a second conveyor belt 3012, and a sorting trough 3013. The second conveyor belt 3012 is mounted on the sorting bracket 3011 and is connected to the end of the first conveyor belt 101. The sorting cylinder is connected to the control unit and is used to control the vertical reciprocating movement of the second conveyor belt 3012. The sorting trough 3013 is correspondingly located at the bottom of the second conveyor belt 3012. When the second conveyor belt 3012 moves downward, the tobacco leaves on it move to the end of the second conveyor belt 3012 and fall into the sorting trough 3013.

[0050] Specifically, a guide rod (not shown in the figure) is provided on the sorting bracket 3011, and the second conveyor belt 3012 is slidably connected to the guide rod. The bottom of the second conveyor belt 3012 is fixedly connected to the telescopic rod of the drive cylinder. When the drive cylinder is running, the telescopic rod extends and retracts to drive the second conveyor belt 3012 to reciprocate vertically.

[0051] Since the sorting unit 30 includes multiple sorting modules 301, in the initial state, multiple second conveyor belts 3012 are on the same horizontal plane. Tobacco leaves can be conveyed from the first conveyor belt 101 to the first second conveyor belt 3012. When the tobacco leaf grade meets the grade, the control unit controls the drive cylinder to operate, causing the second conveyor belt 3012 to descend. As the second conveyor belt 3012 operates, the tobacco leaves move and fall from the gap between the first second conveyor belt 3012 and the second second conveyor belt 3012, and then fall into the sorting trough 3013 below to achieve graded storage of tobacco leaves.

[0052] When the grade of the tobacco leaves does not match the grade corresponding to the first second conveyor belt 3012, the tobacco leaves move from the first conveyor belt 101 to the first second conveyor belt 3012, and then from the first second conveyor belt 3012 to the second second conveyor belt 3012. If they match, the second conveyor belt 3012 is controlled to move downward to achieve tobacco leaf storage. If they do not match, they continue to move backward until the graded storage is completed.

[0053] Furthermore, an elastic buffer pad 3014 is provided at the end of the second conveyor belt 3012 near the first conveyor belt 101. When the tobacco leaves on the first conveyor belt 101 or the second conveyor belt 3012 move to the next second conveyor belt 3012, the tobacco leaves collide with the end of the next second conveyor belt 3012 due to inertia and are received by the second conveyor belt 3012 to complete the transfer of tobacco leaves and realize the transportation of tobacco leaves. The setting of the elastic buffer pad 3014 can reduce the impact force of inertia on the tobacco leaves when the tobacco leaves are transferred again, reduce the damage to the tobacco leaves, and ensure the integrity of the tobacco leaves.

[0054] Furthermore, in the overall tobacco leaf conveying and storage system, the sorting trough 3013 needs to be removed by a forklift to complete the tobacco leaf compaction operation within it. At the same time, when the sorting trough 3013 is full and removed by the forklift, a new empty sorting trough 3013 needs to be replenished. Therefore, a guide rail (not shown in the figure) is provided on the side of the sorting trough 3013. The sliding direction of the guide rail is perpendicular to the conveying direction of the first conveyor belt 101. When the forklift moves the old sorting trough 3013, the guide rail moves to move the sorting trough 3013 out of the sorting bracket 3011, so that the forklift can remove it. Similarly, when the forklift places a new sorting trough 3013, it is placed on the guide rail on the side of the sorting bracket 3011, and the movement of the guide rail controls the sorting trough 3013 to be located below the second conveyor belt 3012.

[0055] Furthermore, a mounting bracket 302 is provided on the sorting bracket 3011. The two ends of the mounting bracket 302 are fixed to the two sides of the sorting bracket 3011. An infrared rangefinder 303 is provided on the mounting bracket 302. The infrared rangefinder 303 is used to detect the movement of the second conveyor belt 3012, such as whether it has moved down to the correct position or whether it has moved up to the original position, so as to prevent the two second conveyor belts 3012 from being misaligned and causing the tobacco leaves to get stuck between the two second conveyor belts 3012 and unable to fall or move backward.

[0056] Furthermore, the control unit includes a main controller, a data storage module, and a human-machine interface. The main controller is connected to the data storage module, the human-machine interface, the classification processor 203, and the sorting unit 30.

[0057] Specifically, the main controller includes a processor, a power module, and a communication interface. The processor is located inside the main controller, the power module is located at the rear end of the processor, and the communication interface is located at the front end of the main controller. The processor is powered by the power module, and the communication interface is used to exchange data with external devices. The processor is connected to the image processing module, the data storage module, the human-machine interface, and the sorting cylinder control via wires. When the image processing module receives and processes the images acquired by the first image acquisition module 201 and the second image acquisition module 202, the main controller controls the sorting cylinder to complete the tobacco leaf sorting operation based on the processing information from the image processing module.

[0058] The data storage module includes a storage chip and a data transmission interface. The storage chip is located inside the data storage unit, and the data transmission interface is located at the front end of the storage chip. The storage chip is connected to the main controller through the data transmission interface. The storage chip is used to store classification and sorting data information.

[0059] The human-machine interface includes a touch screen and operation buttons. The operation buttons are located below the touch screen. The touch screen and operation buttons are connected to the main controller via a data cable. The touch screen is used to display grading and sorting data information, and the operation buttons are used to operate the control unit to set grading and sorting parameters.

[0060] The actual operation process of this device is as follows: the device is turned on, the main controller is powered by the power module, the drive motor 105 works by the control command of the main controller, drives the drive roller 102 to rotate, and thus causes the first conveyor belt 101 to move.

[0061] The tobacco leaves to be sorted are placed on the first conveyor belt 101 from the feed inlet. As the first conveyor belt 101 moves, the tobacco leaves move toward the grading unit 20. When the tobacco leaves reach below the first image acquisition module 201, the lens of the first image acquisition module 201 is aimed at the tobacco leaves, the photosensitive element captures the image of the tobacco leaves, and the image information is transmitted to the grading processor 203 through the image transmission interface. When the tobacco leaves move to below the second image acquisition module 202, the above steps are repeated to realize the acquisition of tobacco leaf images and transmit them to the grading processor 203.

[0062] After receiving the image information, the grading processor 203 identifies the image features of the tobacco leaves through the image recognition module of the image processing module. The data processing module processes the data output by the image recognition module, and the result output module outputs the processed data to the grading result display 204 to display the tobacco leaf grade. At the same time, the data is transmitted to the main controller.

[0063] The main controller controls the movement of the telescopic rod of the sorting cylinder at the corresponding grade based on the tobacco leaf grading information, thereby moving the second conveyor belt 3012 downwards to complete the tobacco leaf sorting operation. For example, when the tobacco leaf is determined to be grade one, the sorting cylinder in the corresponding grade one sorting module 301 is controlled to move, pushing the second conveyor belt 3012 at that grade to slide down along the guide rod. As a result, the tobacco leaf falls into the sorting trough 3013 below. At this time, the elastic buffer pad 3014 at the front end of the second conveyor belt 3012 at the next grade can reduce the impact force on the tobacco leaf when it moves, protecting the tobacco leaf from damage.

[0064] Throughout the process, users can view grading and sorting data information, such as the quantity of tobacco leaves of each grade that have been sorted, through the touch screen of the human-machine interface. They can also make relevant settings for grading and sorting on the control unit through operation buttons, such as adjusting the parameters of image acquisition and sorting speed. The storage chip in the data storage unit is connected to the main controller through the data transmission interface to store grading and sorting data information in real time, which is convenient for subsequent query and statistical analysis.

[0065] In summary, the device of this invention can achieve the entire process of tobacco leaf grading without human intervention when grading and sorting tobacco leaves, effectively improving the efficiency of leaf sorting, grading and classification, reducing costs, and has broad application prospects.

[0066] The above description is merely a preferred embodiment of this application. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A tobacco leaf grading and sorting device based on intelligent recognition, characterized in that, include: Conveying unit, grading unit, sorting unit, and control unit; The conveying unit includes a first conveyor belt, the sorting unit is located at the end of the first conveyor belt, the grading unit is located above the first conveyor belt, and the control unit is located outside the conveying unit. The control unit is connected to the conveying unit, the grading unit and the sorting unit respectively. The first conveyor belt is used to transport tobacco leaves, the grading unit is used to scan and grade the tobacco leaves, and the control unit is used to control the sorting unit to sort the tobacco leaves according to the grading information of the grading unit.

2. The tobacco leaf grading and sorting device based on intelligent recognition according to claim 1, characterized in that, The grading unit includes a first image acquisition module, a second image acquisition module, a grading processor, a grading result display, and a rack; The frame is installed on both sides of the first conveyor belt and above the first conveyor belt. Along the conveying direction of the first conveyor belt, the first image acquisition module is set on the top of the frame and is located upstream of the first conveyor belt. The second image acquisition module is set on the top of the frame and is located downstream of the first conveyor belt. The grading processor is disposed on the side of the rack and located between the first image acquisition module and the second image acquisition module. The grading result display is disposed on the rack. The grading processor is controlled and connected to the first image acquisition module, the second image acquisition module and the grading result display respectively. The grading processor is controlled and connected to the control unit. The first image acquisition module and the second image acquisition module are used to acquire tobacco leaf images. The grading processor is used to grade the tobacco leaves and display the tobacco leaf grading information on the grading result display.

3. The tobacco leaf grading and sorting device based on intelligent recognition according to claim 1, characterized in that, The sorting unit includes multiple sorting modules, which are connected in a transmission manner to transport tobacco leaves from one sorting module to the next. The sorting module includes a sorting bracket, a sorting cylinder, a second conveyor belt, and a sorting trough. The second conveyor belt is mounted on the sorting bracket and connected to the end of the first conveyor belt. The sorting cylinder is located at the bottom of the second conveyor belt and is controlled by the control unit. The sorting cylinder is used to control the vertical reciprocating movement of the second conveyor belt. The sorting trough is correspondingly located at the bottom of the second conveyor belt. When the second conveyor belt moves downward, the tobacco leaves on it move to the end of the second conveyor belt and fall into the sorting trough.

4. The tobacco leaf grading and sorting device based on intelligent recognition according to claim 1, characterized in that, The conveying unit further includes a drive roller, a support roller, a tension roller, and a drive motor. Multiple support rollers are provided and disposed between the drive roller and the tension roller. The first conveyor belt is wound around the drive roller, the support roller, and the tension roller. The drive motor is controlled and connected to the drive roller. The drive motor is used to control the rotation of the drive roller to move the first conveyor belt. The tension roller is used to adjust the tension of the first conveyor belt.

5. A tobacco leaf grading and sorting device based on intelligent recognition according to claim 2, characterized in that, The control unit includes a main controller and a data storage module, and the main controller is controlled to be connected to the data storage module and the sorting unit. The main controller is used to control the sorting unit's operation based on the tobacco leaf grading information, and to control the grading result display to show the grading results. The data storage module is used to store the tobacco leaf grading information and sorting information.

6. A tobacco leaf grading and sorting device based on intelligent identification according to claim 3, characterized in that, An elastic buffer pad is provided at the end of the second conveyor belt facing the first conveyor belt, and the elastic buffer pad is used to relieve the impact of the tobacco leaves.

7. A tobacco leaf grading and sorting device based on intelligent recognition according to claim 3, characterized in that, An mounting bracket is provided on the sorting bracket, and the two ends of the mounting bracket are fixed to the two sides of the sorting bracket. An infrared rangefinder is provided on the mounting bracket, and the infrared rangefinder is used to detect the movement of the second conveyor belt.

8. A tobacco leaf grading and sorting device based on intelligent recognition according to claim 5, characterized in that, The control unit also includes a human-machine interface, which is connected to the main controller. The human-machine interface is used to display the control results of the main controller and for human-machine interaction.

9. A tobacco leaf grading and sorting device based on intelligent recognition according to claim 2, characterized in that, The first image acquisition module and the second image acquisition module each include a lens, a photosensitive element, and an image transmission interface. The photosensitive element is connected to the leveling processor through the image transmission interface. The photosensitive element is used to sense whether tobacco leaves have passed by, and the lens is used to capture images of tobacco leaves.

10. A tobacco leaf grading and sorting device based on intelligent recognition according to claim 2, characterized in that, An alarm is also installed on the rack. The alarm is connected to the grading processor and is used to issue a reminder when the tobacco leaf images scanned by the first image acquisition module and the second image acquisition module are incorrect.