Tobacco leaf type structure digital detection device based on machine vision

Abstract

The utility model discloses a machine vision-based digital detection device for a tobacco leaf type structure, which comprises a box body, three light source long transverse brackets and two short lamp tube long transverse brackets are arranged at the upper end of the box body, first light sources are arranged at the lower ends of the short lamp tube long transverse brackets, and second light sources are arranged at the lower ends of the light source long transverse brackets at the front side and the rear side; a camera fixing support is arranged on the light source long transverse support located in the middle, a camera moving support used for fixing a camera is arranged on the camera fixing support, a working table plate and a sample tray are arranged at the lower end of the box body, the top end, the two side ends and the rear end of the box body are sealed through sealing plates, the front end of the box body is divided into an upper layer and a lower layer, and the upper layer is sealed through the sealing plate. The lower layer is sealed through a hand-pulled door opening; and the table is arranged below the box body and is used for supporting the box body and storing the control device. According to the detection device, the tobacco leaf sheet type structure can be detected, and the sheet type roundness rate of each tobacco leaf can be quantitatively detected while the detection time is greatly shortened.

Description

Technical Field

[0001] The utility model relates to the technical field of tobacco, in particular to a digital detection device for tobacco leaf-shaped structures based on machine vision. Background Art

[0002] Leaf structure refers to the ratio of the mass of each layer to the total weight of a certain amount of tobacco leaves taken during the leaf-beating and re-baking production process, which is calculated after a standard four-layer vibration screen to represent the large-piece rate, medium-piece rate, small-piece rate, and fragment rate. The influence of leaf structure on tobacco shreds is mainly reflected in filling capacity, cigarette density, end-drop amount of shreds, and physical properties. Therefore, in the shredding process, it is necessary to reasonably control the length and shape of tobacco shreds according to the characteristics of the leaf structure to improve the filling capacity and stability of tobacco shreds, reduce the inhalation resistance and shred amount of cigarettes, and improve the quality and taste of cigarettes. Most of the quality of tobacco shreds is measured based on the leaf structure, but after in-depth exploration, it is found that large leaf structures are easier to cut into long and medium shreds than small leaf structures. However, due to the different regular shapes of tobacco leaves, the direction given to the shredder is not specified, resulting in instability of the cut long and medium shreds, resulting in unstable tobacco shreds. The quality of the finished cigarettes is directly affected by the unstable structure of the leaf structure, and only the leaf structure detection cannot meet the existing needs. Through image processing technology, it was found that the sheet structure of tobacco leaves can be calculated to characterize the regularity of tobacco leaves. That is, the rounder the tobacco leaf shape, the more regular the tobacco leaf, the more stable the tobacco structure, and the rounder the tobacco leaf, the structure of the tobacco obtained is certain no matter at which angle it is cut.

[0003] The existing detection sheet structure mainly relies on the human eye to judge whether it is round or not. The rounder the tobacco leaf, the more regular it is, and the more stable the cut tobacco structure is. And judging the roundness rate of each tobacco leaf is a huge workload. This detection method is highly subjective, the results are rough, and it is impossible to give a quantitative judgment on each tobacco leaf, and it wastes a lot of manpower, material and financial resources. Utility Model Content

[0004] The technical problem to be solved by the utility model is to provide a digital detection device for tobacco leaf shape structure based on machine vision, so as to solve the problems of existing leaf shape structure, detection relying on human eyes, strong subjectivity, inaccurate prediction, slow speed, time-consuming and labor-intensive, etc.

[0005] The technical problem to be solved by the utility model is achieved through the following technical solutions:

[0006] A digital detection device for tobacco leaf shape structure based on machine vision, comprising:

[0007] A box body, wherein three long horizontal brackets for light sources and two long horizontal brackets for short lamp tubes are arranged at the upper end of the box body, a first light source is arranged at the lower end of the long horizontal brackets for short lamp tubes, a second light source is arranged at the lower end of the long horizontal brackets for light sources located at the front and rear sides, a camera fixing bracket is arranged on the middle long horizontal bracket for light sources, a camera moving bracket is arranged on the camera fixing bracket, and the camera moving bracket is used to fix the camera, a workbench is arranged at the lower end of the box body, a sample tray is arranged on the workbench, the top end, both side ends and the rear end of the box body are sealed by sealing plates, the front end of the box body is divided into upper and lower layers, the upper layer is sealed by a sealing plate, and the lower layer is sealed by a hand-pull door;

[0008] A table is arranged below the box body, and is used to support the box body and store the control device.

[0009] Preferably, a top cover plate is arranged at the top of the box body, a rear cover plate is arranged at the rear end of the box body, a left plate and a right plate are arranged at both side ends of the box body, and a front cover plate is arranged at the upper layer of the front end of the box body.

[0010] Preferably, the box body is formed by supporting a main frame, and the long horizontal bracket of the light source and the long horizontal bracket of the short lamp tube are both arranged at the top end of the main frame.

[0011] Preferably, the hand-pull door opening comprises: a front right door and a front left door, the sample is placed into the sample tray through the front right door and the front left door, and a lock is provided between the front right door and the front left door.

[0012] Preferably, the front right door is fixed to the main frame via a right door upper hinge and a right door lower hinge, and the front left door is fixed to the main frame via a left door upper hinge and a left door lower hinge.

[0013] Preferably, the upper end of the first light source is connected to the lower surface of the short lamp tube long horizontal bracket through a lamp tube rotating bracket, a lamp tube bracket sliding tube and a lamp tube bracket sliding sleeve.

[0014] Preferably, the upper end of the second light source is connected to the lower surface of the long horizontal bracket of the light source through a lamp tube rotating bracket, a lamp tube bracket sliding tube and a lamp tube bracket sliding sleeve.

[0015] Preferably, the box, sample tray, camera fixing bracket and camera moving bracket are made of stainless steel, aluminum, iron or acrylic plate.

[0016] Preferably, the table comprises: an upper panel on the table, a lower right panel on the table, a lower left panel on the table and a table frame, the upper panel on the table is in contact with the box, and a triangular support plate is provided between the lower right panel on the table, the lower left panel on the table and the table frame.

[0017] Preferably, the automatic control device includes: an inspection machine vision system, an automatic control system, an image acquisition system, an image processing system and an electronic control system. The machine vision system is used to detect, identify and process the tobacco leaves in the sample tray; the automatic control system realizes automatic control of the camera by measuring the distance between the tobacco leaves and the camera; the image acquisition system is used to collect various image information and provide necessary data input for the machine vision system; the image processing system is used to process image data and process and analyze the image; the electronic control system is used to realize electrical control of the equipment and system, and controls the operating status of the equipment or system by receiving and processing various electrical signals to ensure that it works normally according to predetermined requirements.

[0018] The above technical solution of the utility model has the following beneficial effects:

[0019] The utility model proposes a digital detection device for tobacco leaf shape structure based on machine vision, which can detect tobacco leaf shape structure. Compared with traditional manual detection, it can greatly reduce the detection time and can quantitatively detect the leaf roundness rate of each tobacco leaf.

[0020] The utility model is a device capable of simultaneously detecting and analyzing multiple tobacco leaves, making the detection data more representative and reliable, providing a collection device for subsequent refined research on tobacco leaf structure detection, and meeting the detection requirements of finished cigarette products for leaf structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present invention and, together with the description, serve to explain the principles of the present invention.

[0022] Figure 1 It is a schematic diagram of the digital detection device for tobacco leaf-shaped structure based on machine vision of the utility model.

[0023] Figure 2 It is a front view of the digital detection device for tobacco leaf-shaped structure based on machine vision of the utility model.

[0024] Figure 3 It is a side view of the digital detection device for tobacco leaf-shaped structures based on machine vision of the utility model.

[0025] Figure 4 It is a top view of the digital detection device for tobacco leaf-shaped structures based on machine vision of the utility model.

[0026] Figure 5 The utility model is a schematic diagram of the process of the digital detection device of tobacco leaf shape structure based on machine vision.

[0027] Among them: 1-first light source, 2-second light source, 3-triangular support plate, 4-main frame, 5-long horizontal bracket of light source, 6-front left door, 7-front right door, 8-front cover plate, 9-right side plate, 10-left door upper hinge, 11-left door lower hinge, 12-rear cover plate, 13-workbench plate, 14-left side plate, 15-right door upper hinge, 16-right door lower hinge, 17-sample tray, 18-top panel of table, 19-right panel of table lower, 20-left panel of table lower, 21-table frame, 22-lamp bracket sliding sleeve, 23-lamp bracket sliding tube, 24-lamp rotating bracket, 25-camera fixed bracket, 26-camera moving bracket, 27-short lamp long horizontal bracket, 28-lock 28, 29-top cover plate. DETAILED DESCRIPTION

[0028] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention.

[0029] like Figure 1-Figure 4 As shown, a digital detection device for tobacco leaf shape structure based on machine vision comprises:

[0030] A box body, wherein three long horizontal brackets 5 for light sources and two long horizontal brackets 27 for short lamp tubes are arranged at the upper end of the box body, a first light source 1 is arranged at the lower end of the long horizontal brackets 27 for short lamp tubes, a second light source 2 is arranged at the lower end of the long horizontal brackets 5 for light sources located at the front and rear sides, a camera fixing bracket 25 is arranged on the middle long horizontal bracket 5 for light sources, a camera moving bracket 26 is arranged on the camera fixing bracket 25, and the camera moving bracket 26 is used to fix the camera, a workbench 13 is arranged at the lower end of the box body, a sample tray 17 is arranged on the workbench 13, the top, left and right ends (two side ends) and rear end of the box body are all sealed by sealing plates, the front end of the box body is divided into upper and lower layers, the upper layer is sealed by a sealing plate, and the lower layer is sealed by a hand-pull door; a table is arranged below the box body, and the table is used to support the box body and store the automatic control device.

[0031] Furthermore, the sealing plate includes: a top cover plate 29 arranged at the top of the box body, a left side plate 14 and a right side plate 9 arranged at the left and right ends of the box body, and a front cover plate 8 arranged at the upper layer of the front end of the box body.

[0032] Furthermore, the box body is formed by supporting the main frame 4 , and the long horizontal bracket 5 of the light source and the long horizontal bracket 27 of the short lamp tube are both arranged at the top end of the main frame 4 .

[0033] Further, the hand-pull door opening includes: a front right door 7 and a front left door 6, through which the sample is placed in the sample tray 17, and a lock 28 is provided between the front right door 7 and the front left door 6. Specifically, the front right door 7 is fixed to the main frame 4 through a right door upper hinge 15 and a right door lower hinge 16, and the front left door 6 is fixed to the main frame 4 through a left door upper hinge 10 and a left door lower hinge 11.

[0034] Furthermore, the upper end of the first light source 1 is connected to the lower surface of the short lamp tube long horizontal bracket 27 through the lamp tube rotating bracket 24, the lamp tube bracket sliding tube 23 and the lamp tube bracket sliding sleeve 22. The upper end of the second light source 2 is connected to the lower surface of the light source long horizontal bracket 5 through the lamp tube rotating bracket 24, the lamp tube bracket sliding tube 23 and the lamp tube bracket sliding sleeve 22.

[0035] Preferably, the box, the sample tray 17, the camera fixing bracket 25, and the camera moving bracket 26 are made of stainless steel, aluminum, iron, or acrylic plate. Of course, the present application is not limited thereto.

[0036] The table includes: an upper table panel 18, a lower right table panel 19, a lower left table panel 20 and a table frame 21. The upper table panel 18 is in contact with the box body, and a triangular support plate 3 is arranged between the lower right table panel 19, the lower left table panel 20 and the table frame 21.

[0037] like Figure 5 As shown, the control device of the present application includes: a machine vision system, an automatic control system, an image acquisition system, an image processing system, and an electric control system. The machine vision system is mainly used for a system for detecting, identifying and processing tobacco leaves. Through technical means such as image acquisition, image processing, and pattern recognition, high-precision, high-efficiency, and contact-type measurement and identification of tobacco leaves are achieved. The automatic control system achieves automatic control of the camera by measuring the distance between the tobacco leaves and the camera. The image acquisition system is mainly used to collect various image information and provide necessary data input for the machine vision system. The image processing system is mainly used for a system for processing image data. By performing a series of processing and analysis on the image, useful information is extracted to provide support for subsequent applications. The electric control system is mainly used to realize electrical control of equipment and systems. The electric control system controls the operating status of the equipment or system by receiving and processing various electrical signals to ensure that it works normally according to predetermined requirements.

[0038] Specifically, the machine vision system includes components such as a sealed box, a light source, a camera, a lens, and an image processing unit. The sealed box is used to ensure that the tobacco leaves being tested are in a stable and balanced environment to avoid the influence of the external environment. The light source is used to illuminate the tobacco leaves being tested to avoid uneven lighting causing overexposure, shadows, uneven colors, etc. The camera is used to capture the image of the tobacco leaves being tested, the lens is used to adjust the focal length and field of view of the camera, and the image processing unit is used to process and analyze the collected images to extract useful information. The machine vision system ensures the normal operation and efficient work of the entire system. At the same time, the stability, reliability, safety and other factors of the system are taken into account to ensure the long-term stable operation and safe use of the system.

[0039] Specifically, the automatic system usually includes components such as a camera, a distance sensor and a control unit. The camera is used to capture the image of the object being measured, the distance sensor is used to measure the distance between the object and the camera, and the control unit automatically adjusts the camera's focal length, aperture and other parameters according to the measurement results of the distance sensor to achieve clear imaging of the object being measured.

[0040] Specifically, the image acquisition system includes a camera, an image acquisition card, and a computer. The camera is responsible for capturing images, the image acquisition card is responsible for converting the images captured by the camera into digital signals, and the computer is responsible for processing these digital signals.

[0041] Specifically, the image processing system includes image input device computer, image processing algorithm, image output device display screen, etc. The image input device computer is responsible for inputting the collected image data into the system, the image processing algorithm is responsible for processing and analyzing the input image data to extract useful information, and the image output device display screen is responsible for outputting the processed image data to the display.

[0042] Specifically, the electronic control system includes components such as controllers, sensors, and actuators. The controller is the core part of the electronic control system, responsible for receiving and processing various input signals, and outputting corresponding control signals according to the preset control logic. The sensor is responsible for detecting the state or parameters of the controlled object, and converting the detection results into electrical signals and inputting them into the controller. The actuator performs corresponding operations or adjustments on the controlled object according to the output signal of the controller.

[0043] A tobacco leaf shape detection device based on machine vision is used to detect tobacco leaf shape, including the following steps:

[0044] (1) Power on the equipment, and turn on the computer host, display screen, light source, and camera on the camera bracket.

[0045] (2) After checking that there are no problems with the machine vision system, automatic control system, image acquisition system, and image processing system, turn on the machine and preheat it for 30 minutes.

[0046] (3) After the leaf threshing and redrying production line is stable, take 3kg of samples from the side of the leaf threshing air outlet. After passing through four layers of standard vibration screening, take 20g of large leaf rate, medium leaf rate, small leaf rate, and fragment rate respectively. After each 20g tobacco leaf sample is fully unfolded, spread them one by one on the sample tray. The samples need to be separated and the front right door and front left door are closed. Through the automatic control system, the camera on the fixed bracket and the camera moving bracket are moved to the top of the tobacco leaves. The image acquisition system collects the sample image. The image is calculated and analyzed by the relevant algorithm in the image processing system, and the shape and structure of each tobacco leaf are calculated, and the results are displayed on the computer screen.

[0047] Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention. Any person skilled in the art can make various choices and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention is limited by the claims and their equivalents.

Claims

1. A digital detection device for tobacco leaf shape structure based on machine vision, characterized in that: include: A box body, wherein the upper end of the box body is provided with three long horizontal brackets (5) for light sources and two long horizontal brackets (27) for short lamp tubes, the lower end of the long horizontal brackets (27) for short lamp tubes is provided with a first light source (1), the lower ends of the long horizontal brackets (5) for light sources located at the front and rear sides are provided with a second light source (2), the long horizontal bracket (5) for light sources located in the middle is provided with a camera fixing bracket (25), the camera fixing bracket (25) is provided with a camera moving bracket (26), the camera moving bracket (26) is used to fix the camera, the lower end of the box body is provided with a workbench (13), the upper end of the workbench (13) is provided with a sample tray (17), the top end, both side ends and the rear end of the box body are sealed by sealing plates, the front end of the box body is divided into upper and lower layers, the upper layer is sealed by a sealing plate, and the lower layer is sealed by a hand-pull type door; A table is arranged below the box body, and is used to support the box body and store the automatic control device.

2. The digital detection device for tobacco leaf shape structure based on machine vision according to claim 1 is characterized in that: The sealing plate comprises: a top cover plate (29) arranged at the top end of the box body, a rear cover plate (12) arranged at the rear end of the box body, a left side plate (14) and a right side plate (9) arranged at both side ends of the box body, and a front cover plate (8) arranged at the upper layer of the front end of the box body.

3. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 1, characterized in that: The box body is formed by supporting a main frame (4), and the light source long horizontal bracket (5) and the short lamp tube long horizontal bracket (27) are both arranged at the top end of the main frame (4).

4. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 3 is characterized in that: The hand-pull door opening comprises: a front right door (7) and a front left door (6); a sample is placed in the sample tray (17) through the front right door (7) and the front left door (6); a lock (28) is provided between the front right door (7) and the front left door (6).

5. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 4 is characterized in that: The front right door (7) is fixed to the main frame (4) via a right door upper hinge (15) and a right door lower hinge (16), and the front left door (6) is fixed to the main frame (4) via a left door upper hinge (10) and a left door lower hinge (11).

6. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 1, characterized in that: The upper end of the first light source (1) is connected to the lower surface of the short lamp tube long horizontal bracket (27) via a lamp tube rotating bracket (24), a lamp tube bracket sliding tube (23) and a lamp tube bracket sliding sleeve (22).

7. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 1 is characterized in that: The upper end of the second light source (2) is connected to the lower surface of the light source long horizontal bracket (5) via a lamp tube rotating bracket (24), a lamp tube bracket sliding tube (23) and a lamp tube bracket sliding sleeve (22).

8. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 1, characterized in that: The box, the sample tray (17), the camera fixing bracket (25) and the camera moving bracket (26) are made of stainless steel, aluminum, iron or acrylic plate.

9. The device for digitally detecting tobacco leaf shape structure based on machine vision according to claim 1, characterized in that: The table comprises: an upper panel (18) of the table, a right panel (19) of the table, a left panel (20) of the table and a table frame (21); the upper panel (18) of the table is in contact with the box body; a triangular support plate (3) is provided between the right panel (19) of the table, the left panel (20) of the table and the table frame (21).

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