Tobacco leaf sorting line

By cutting the tobacco leaves into small segments and using intelligent spectral removal equipment and robots to identify and eliminate unqualified small segments of tobacco leaves one by one, the problems of raw material loss and quality impact during the secondary grading of tobacco leaves are solved, and efficient and accurate tobacco leaves are achieved.

CN222692730UActive Publication Date: 2025-04-01BAOFENG REDRYING FACTORY OF TIANCHANG INT TOBACCO CO LTD +2
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Patent Information

Application Number
CN202420906445.5
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-04-28
Publication Date
2025-04-01
Estimated Expiration
2034-04-28

AI Technical Summary

Technical Problem

During the secondary grading of tobacco leaves, it is difficult to avoid raw material loss or affect the quality of mainstream materials.

Method used

A tobacco leaf classification assembly line is designed, and the tobacco leaves are cut into small segments, and the intelligent spectrum removal equipment and robots use intelligent spectral removal equipment and robots to identify and eliminate unqualified small segments of tobacco leaves one by one, so as to eliminate individual small segments of tobacco leaves that do not meet the standards.

Benefits of technology

This solution will not cause raw material losses, nor will it affect the quality of mainstream materials. Through precise color sorting, the efficiency and accuracy of tobacco leaf classification are improved.

✦ Generated by Eureka AI based on patent content.

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  • Figure CN222692730U_ABST
    Figure CN222692730U_ABST
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Abstract

A tobacco leaf sorting production line includes a natural tide room and a three-knife four-section device, the three-knife four-section device is connected to a leaf moistening machine through a belt conveyor, the leaf moistening machine is connected to an air separation and impurity removal device through a belt conveyor, the air separation and impurity removal device is connected to a first-level intelligent spectrum removal device through a belt conveyor, and the first-level intelligent spectrum removal device is connected to a second-level intelligent spectrum removal device through a belt conveyor. Beneficial effect: Compared with the prior art, the utility model has a process of first cutting tobacco leaves into small sections, color sorting is performed for each small section of tobacco leaves, and only individual small sections of tobacco leaves that do not meet the standards are removed, which will neither cause raw material loss nor affect the quality of mainstream raw materials.
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Description

Technical Field

[0001] The utility model belongs to the technical field of redrying tobacco leaf processing, and in particular relates to a tobacco leaf classification production line. Background Art

[0002] The color of flue-cured tobacco leaves is an important indicator for evaluating the appearance quality of tobacco leaves. In the national flue-cured tobacco standards, tobacco leaf color is an important grading indicator. The quality of tobacco leaf color directly affects the price of tobacco leaves as a commodity. Especially in the secondary grading process of tobacco leaves, the main grade tobacco leaves are more or less mixed with tobacco leaves of other colors. Sorting out tobacco leaves that do not meet the color quality of the main grade tobacco leaves is the main task of the current redrying plant. In the secondary sorting process of tobacco leaves, orange-yellow and lemon-yellow tobacco leaves are generally considered to be of high quality.

[0003] At present, in order to pursue the quality of tobacco, the industry has already used color recognition equipment for crushed leaves to remove low-quality crushed leaves. However, this color sorting operation is very large, and whole leaf sorting can be considered.

[0004] However, the researchers noticed that the entire color of some whole leaves can meet the high-quality quality standards, the color of some areas of some whole leaves (such as the middle of the leaf) can meet the high-quality quality standards, and the color of some areas of some whole leaves (such as the tail and tip of the leaf) cannot meet the high-quality quality standards. For whole leaf sorting, if they are removed, it will cause raw material loss (the part that meets the high-quality quality standards will be removed); if they are left behind, it will affect the quality of the mainstream material raw materials (the part that does not meet the high-quality quality standards will be left behind). This contradiction cannot be resolved. Utility Model Content

[0005] The technical problem to be solved by the utility model is: how to design a tobacco leaf classification production line which will not cause raw material loss and will not affect the quality of mainstream raw materials.

[0006] The specific plan is as follows:

[0007] A tobacco leaf sorting production line comprises a natural tide room and a three-knife four-stage device, the three-knife four-stage device is connected to a leaf moistening machine through a belt conveyor, the leaf moistening machine is connected to an air separation and impurity removal device through a belt conveyor, the air separation and impurity removal device is connected to a first-level intelligent spectrum rejection device through a belt conveyor, the first-level intelligent spectrum rejection device is connected to a second-level intelligent spectrum rejection device through a belt conveyor, the second-level intelligent spectrum rejection device is connected to a third-level intelligent spectrum rejection device through a belt conveyor, and the third-level intelligent spectrum rejection device is connected to a collection point;

[0008] The debris outlet of the wind separation and impurity removal equipment is connected to the first tobacco basket through a belt conveyor;

[0009] The debris outlet of the first-level intelligent spectrum rejection device is connected to the second smoke basket through a belt conveyor;

[0010] The debris outlet of the second-level intelligent spectrum rejection device is connected to the third smoke basket through a belt conveyor;

[0011] The debris outlet of the third-level intelligent spectrum rejection equipment is connected to the fourth cigarette basket through a belt conveyor.

[0012] The leaf moistening machine is connected to the inlet of the distributor, and the two inlets of the distributor are connected to an air separation and impurity removal device through a belt conveyor.

[0013] The characteristic of the invention is that a manipulator is arranged at the belt conveyor between the wind separation and impurity removal equipment and the third-level intelligent spectrum rejection equipment.

[0014] Beneficial effect: Compared with the prior art, the utility model has a process of cutting tobacco leaves into small sections first, and color sorting is performed on each small section of tobacco leaves, and only small sections of tobacco leaves that do not meet the standards are removed, which will neither cause raw material loss nor affect the quality of mainstream raw materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the process of the utility model.

[0016] Figure 2 It is a structural diagram. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the present invention.

[0018] like Figure 1 , a spectrum identification and accurate classification method based on multi-segment separation of tobacco leaves includes the following steps:

[0019] S1. The raw tobacco bales in the preparation area are put into a natural tidal room for water addition, heating and softening, and then the tobacco leaves are evenly placed in the corresponding area of ​​the leaf laying table;

[0020] In this step, the tobacco leaves are placed on the leaf-laying table manually.

[0021] S2. Place the tobacco leaves on the leaf-laying table, and cut the whole leaf evenly three times along the longitudinal direction (vertical to the direction of the main veins) to form four pieces of loose material (that is, four small pieces of tobacco leaves).

[0022] S3, after the material is treated by the leaf moistening machine at low temperature and low humidity, it enters the wind separation and impurity removal equipment;

[0023] In this step, after the material is treated with low temperature and low humidity by a leaf moistening machine, it is divided into two even streams by a divider and enters into a wind separation and impurity removal device respectively.

[0024] S4. After entering the wind separation and impurity removal equipment, the impurities enter the impurity area from one exit (see the red arrow in the figure), and the materials enter the first-level intelligent spectrum removal equipment from another exit;

[0025] S5. After the materials enter the first-level intelligent spectrum rejection device one by one, the rejected green tobacco and moldy tobacco leaves enter the corresponding tobacco frames (see the red arrows in the figure), and the remaining mainstream materials enter the second-level intelligent spectrum rejection device;

[0026] In this step, the identification of the intelligent spectral rejection device can be found in the "Recognition method for online automatic tobacco grade sorting based on machine vision" in the document CN 111274860 B, in which the database used as the basis for comparison can be added and deleted through continuous model recognition learning to provide accuracy in rejecting green tobacco and moldy tobacco leaves;

[0027] Intelligent spectral rejection equipment uses spectral imaging technology to blow away green tobacco, moldy tobacco and mixed-color tobacco leaves that do not meet the mainstream grade through compressed air pressure, and the mainstream materials enter the next link;

[0028] One by one means that the materials need to flow into the intelligent spectral rejection equipment one by one to ensure that each small segment is identified to ensure the high quality of the tobacco leaves.

[0029] S6. The materials enter the second-level intelligent spectrum rejection device one by one, and the light yellow and pale yellow tobacco leaves are separated and enter the corresponding tobacco frames (see the red arrow in the figure), and the remaining mainstream materials enter the third-level intelligent spectrum rejection device.

[0030] In this step, the identification method of the intelligent spectrum rejection device can refer to the previous step, except that the database content used as the basis for comparison is light yellow and pale yellow tobacco leaves.

[0031] S7. The materials enter the third-level intelligent spectrum rejection device one by one, and the heavy-colored and dark-colored tobacco leaves (the parts of the materials with a color higher than the high-quality color) are identified and enter the corresponding tobacco frames (see the red arrow in the figure), and the remaining mainstream materials enter the vibrating trough screen;

[0032] In this step, the identification method of the intelligent spectrum rejection device can refer to the previous step, except that the database content used as the basis for comparison is heavy-colored and dark-colored tobacco leaves.

[0033] S8, the material enters the vibrating trough screen, and the screened fragments enter the corresponding smoke frame (see the red arrow in the figure), and the remaining mainstream materials are collected and kept ready for the next process.

[0034] like Figure 2A tobacco leaf classification production line is used to classify raw tobacco leaves, including a natural tide room 10 and a three-knife four-stage device 11. The three-knife four-stage device 11 is connected to a leaf moistening machine 13 through a belt conveyor 12. The leaf moistening machine 13 is connected to an air separation and impurity removal device 14 through a belt conveyor 12. The air separation and impurity removal device 14 is connected to a first-level intelligent spectrum rejection device 15 through a belt conveyor 12. The first-level intelligent spectrum rejection device 15 is connected to a second-level intelligent spectrum rejection device 16 through a belt conveyor 12. The second-level intelligent spectrum rejection device 16 is connected to a third-level intelligent spectrum rejection device 17 through a belt conveyor 12. The third-level intelligent spectrum rejection device 17 is connected to a collection point 18.

[0035] The debris outlet of the air separation and impurity removal device 14 is connected to the first cigarette basket 21 through the belt conveyor 12;

[0036] The debris outlet of the first-level intelligent spectrum rejection device 15 is connected to the second smoke basket 22 through the belt conveyor 12;

[0037] The debris outlet of the second-level intelligent spectrum rejection device 16 is connected to the third smoke basket 23 through the belt conveyor 12;

[0038] The debris outlet of the third-level intelligent spectrum rejection device 17 is connected to the fourth smoke basket 24 through the belt conveyor 12.

[0039] In order to improve efficiency, the leaf moistening machine 13 is connected to the inlet of the distributor, and the two inlets of the distributor are connected to an air separation and impurity removal device 13 through a belt conveyor 12.

[0040] In order to facilitate impurity removal, a robot 19 is provided at the belt conveyor 12 between the air separation and impurity removal equipment 14 and the third-level intelligent spectrum rejection equipment 17 to remove debris from the tobacco leaves transported by the belt conveyor 12. Another function of the robot is to further remove green mold, light yellow and dark yellow that are not identified by the photoelectric recognition equipment.

[0041] Its working principle is:

[0042] S1. After the tobacco leaves in the natural tidal room 10 are softened by adding water, they are manually transported and placed on the leaf laying table of the three-knife four-stage equipment 11, and then subjected to the three-knife four-stage cutting process to form a uniform bulk material.

[0043] S2. After the material is treated with low temperature and low humidity by the moistening leaf 13, the material is divided into two uniform streams by the material divider, and the streams are respectively passed through the wind separation and impurity removal equipment 14 to remove impurities, and the impurities enter the first tobacco basket 21 through the belt conveyor 12.

[0044] S3. The materials after air separation and impurity removal pass through the first-level intelligent spectrum removal equipment 15 to remove the green tobacco, moldy and bad tobacco and debris. The removed green tobacco and moldy and bad tobacco leaves enter the second tobacco basket 22 through the belt conveyor 12.

[0045] S4. The mainstream material after the above processing enters the second-level intelligent spectrum rejection device 16 again, and the light yellow and pale yellow tobacco leaves are identified. The rejected light yellow and pale yellow tobacco leaves enter the third tobacco basket 23 through the belt conveyor 12.

[0046] S5. The mainstream material after the above processing enters the third-level intelligent spectrum rejection device 17 again to identify the heavy-colored and dark-colored tobacco leaves. The rejected heavy-colored and dark-colored tobacco leaves enter the fourth tobacco basket 24 through the belt conveyor 12.

[0047] S6. The mainstream materials after the above processing are collected and put into use.

[0048] In the above steps, when the material passes through the robot 19 , the robot 19 removes debris from the tobacco leaves transported by the belt conveyor 12 .

[0049] Features of this application:

[0050] S1. This application first performs three cuts and four sections to avoid the situation where "only part of the leaf is unqualified and the whole leaf is removed". Under the premise of not affecting the high quality of the mainstream raw materials, try not to cause raw material loss.

[0051] S2. This application first performs three cuts and four sections. In the link of intelligent spectrum rejection equipment, green smoke, moldy and tobacco leaves that do not meet the mainstream grade are blown away by air pressure, and the mainstream material flow becomes smaller, reducing the probability of missing unqualified tobacco leaves (that is, the situation where they are not blown away).

[0052] S3. In the process of searching other intelligent spectrum rejection patent equipment, the tobacco leaves need to be flattened (if they are wrinkled or folded, the moldy parts may be blocked and not be rejected). After three cuts and four sections in this application, the area is smaller, and after heating and humidification treatment, it is easier to flatten, which will not affect the high quality of the raw materials.

[0053] S4. The raw tobacco leaf processing method proposed in this application is a new raw tobacco processing method that integrates the technologies of wind selection and impurity removal, spectral intelligent impurity removal, and artificial bionic robot debris removal. It will bring subversive changes to the raw tobacco selection and tobacco leaf threshing mode in the redrying factory.

[0054] For other details, please refer to the prior art and will not be described in detail.

[0055] The technical means disclosed in the solution of the utility model are not limited to the technical means disclosed in the above-mentioned implementation mode, but also include technical solutions composed of any combination of the above technical features. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the utility model, and these improvements and modifications are also regarded as the protection scope of the utility model.

Claims

1. A tobacco leaf sorting production line, characterized in that it comprises a natural tidal chamber (10) and a three-knife four-stage device (11), the three-knife four-stage device (11) being connected to a leaf moistening machine (13) via a belt conveyor (12), the leaf moistening machine (13) being connected to an air separation and impurity removal device (14) via a belt conveyor (12), the air separation and impurity removal device (14) being connected to a first-level intelligent spectrum rejection device (15) via a belt conveyor (12), the first-level intelligent spectrum rejection device (15) being connected to a second-level intelligent spectrum rejection device (16) via a belt conveyor (12), the second-level intelligent spectrum rejection device (16) being connected to a third-level intelligent spectrum rejection device (17) via a belt conveyor (12), and the third-level intelligent spectrum rejection device (17) being connected to a collection point (18); The debris outlet of the air separation and impurity removal device (14) is connected to the first tobacco basket (21) via a belt conveyor (12); The debris outlet of the first-stage intelligent spectrum rejection device (15) is connected to the second smoke basket (22) via a belt conveyor (12); The debris outlet of the second-level intelligent spectrum rejection device (16) is connected to the third smoke basket (23) via a belt conveyor (12); The debris outlet of the third-level intelligent spectrum rejection device (17) is connected to the fourth smoke basket (24) via a belt conveyor (12).

2. The tobacco leaf sorting production line according to claim 1, characterized in that: the leaf moistening machine (13) is connected to the inlet of the divider, and the two inlets of the divider are connected to an air separation and impurity removal device (13) through a belt conveyor (12).

3. The tobacco leaf sorting production line as described in claim 2 is characterized in that a robot (19) is provided at the belt conveyor (12) between the air separation and impurity removal equipment (14) and the third-level intelligent spectrum rejection equipment (17).

Citation Information

Patent Citations

  • A machine vision-based online automatic tobacco leaf grading identification method

    CN111274860B