Visual intelligent analysis and recognition device for waste paper bags based on marine pulping

Abstract

The utility model relates to the technical field of waste paper bag visual analysis, in particular to a waste paper bag visual intelligent analysis and identification device based on marine pulping, which comprises a feeding conveyor belt, a rotating component, a high-definition camera system, an illumination component and a shunting component, the feeding conveying belt is installed on one side of the rotating assembly. The rotating assembly is used for driving the waste paper bags to rotate so as to cooperate with the high-definition camera system to conduct visual analysis on the waste paper bags. The illumination assembly is mounted on the rotating assembly, and the illumination assembly is used for lighting up according to rotation of the rotating assembly to cooperate with the high-definition camera system to complete visual analysis; the flow dividing assembly is installed on one side of the rotating assembly and used for conducting flow dividing according to different conditions of the waste paper bags.

Description

Technical Field

[0001] This utility model relates to the field of visual analysis technology for waste paper bales, specifically to a visual intelligent analysis and recognition device for waste paper bales based on marine pulping. Background Technology

[0002] In marine pulping, waste paper bales are usually transported to the pulping unit and then pulped. However, existing marine pulping systems directly transport waste paper bales to the pulping unit for pulping, but cannot detect and analyze the appearance, shape, quality, and foreign matter of the waste paper bales in real time, which affects the pulping effect.

[0003] Therefore, this utility model provides a visual intelligent analysis and recognition device for waste paper bales based on marine pulping to solve the above problems. Utility Model Content

[0004] The technical problem to be solved by this utility model is that in the marine pulping process, waste paper bales are usually transported to the pulping device and then pulped. However, existing marine pulping processes directly transport waste paper bales to the pulping device for pulping, but it is impossible to detect and analyze the appearance, shape, quality and foreign matter of the waste paper bales in real time, which affects the pulping effect.

[0005] This utility model provides the following technical solution: a visual intelligent analysis and recognition device for waste paper bales based on marine pulping, comprising a feeding conveyor belt, a rotating component, a high-definition camera system, an illumination component, and a diversion component. The rotating component is fixed on the ground, and the feeding conveyor belt is installed on one side of the rotating component. The rotating component drives the waste paper bales to rotate, thereby cooperating with the high-definition camera system to perform visual analysis on the waste paper bales. The illumination component is installed on the rotating component and illuminates according to the rotation of the rotating component to cooperate with the high-definition camera system to complete the visual analysis. The diversion component is installed on one side of the rotating component and is used to divert waste paper bales according to different conditions.

[0006] Preferably, the rotating assembly includes a rotating motor, a rotating column, and a rotating disk, wherein the rotating motor is mounted on the rotating column, and the rotating disk is mounted on the rotating column.

[0007] Preferably, the rotating disk has baffles arranged in a periodic array.

[0008] Preferably, the high-definition camera system includes a bracket, cameras, and a light-blocking curtain. The bracket is installed on one side of the rotating motor, and four cameras are arrayed on the bracket. A light-blocking curtain is installed on the edge of the bracket.

[0009] Preferably, the lighting assembly includes a light lamp, a first conductive sheet, and a second conductive sheet. The light lamp array is mounted on the rotating disk, and a first conductive sheet is mounted below the rotating disk. The first conductive sheet is electrically connected to and corresponds one-to-one with the light lamp. A second conductive sheet is mounted on the bracket.

[0010] Preferably, the diversion assembly includes a support base, a robotic arm, grippers, a first collection box, and a second collection box. The support base is installed on one side of the rotating disk, the robotic arm is mounted on the support base, grippers are mounted at the end of the robotic arm, and the first and second collection boxes are mounted on one side of the support base.

[0011] The beneficial effects of this utility model are as follows:

[0012] 1. This utility model combines high-definition cameras, deep learning, and image processing technology to efficiently identify the shape, foreign objects, and packaging status of waste paper bales. Through intelligent alarms and automatic diversion systems, it enhances the safety, reliability, and production efficiency of marine pulping systems, while adapting to the unique operating environment of ships, reducing human intervention, and ensuring the stability of the pulping process. Attached Figure Description

[0013] To more clearly illustrate the specific embodiments of this utility model or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this utility model. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the overall design of this utility model;

[0015] Figure 2 This is a schematic diagram of the rotating component of this utility model;

[0016] Figure 3 This is a schematic diagram of the high-definition camera system of this utility model;

[0017] Figure 4 This is a schematic diagram of the current splitter component of this utility model;

[0018] Figure 5 This is a schematic diagram of the lighting component of this utility model;

[0019] Figure 6 This is a schematic diagram showing the installation position of the conductive sheet of this utility model;

[0020] Figure 7 This is an enlarged view of point A of this utility model.

[0021] In the diagram: 1. Rotating component; 11. Rotating motor; 12. Rotating column; 13. Rotating disk; 14. Baffle; 2. High-definition camera system; 21. Bracket; 22. Camera; 23. Blackout curtain; 3. Illumination component; 31. Illuminator; 32. Conductive sheet No. 1; 33. Conductive sheet No. 2; 4. Diverting component; 41. Support base; 42. Robotic arm; 43. Gripper; 44. Collection box No. 1; 45. Collection box No. 2. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of this utility model clearer, the technical solutions of the embodiments of this utility model will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this utility model. Therefore, the following detailed description of the embodiments of this utility model is not intended to limit the scope of the claimed utility model, but merely represents some embodiments of this utility model. All other embodiments obtained by those skilled in the art based on the embodiments of this utility model without creative effort are within the scope of protection of this utility model.

[0023] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0024] In the description of this utility model, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," and "back side," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of this utility model is conventionally placed during use. These terms are used only for the convenience of describing this utility model and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation; therefore, they should not be construed as limitations on this utility model.

[0025] It should also be noted that, in the description of this utility model, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0026] This disclosure aims to address the problem in marine pulping processes where waste paper bales are typically transported directly to the pulping unit for pulping. However, existing marine pulping methods directly transport waste paper bales to the unit for pulping, but cannot perform real-time detection and analysis of the appearance, shape, quality, and foreign objects in the waste paper bales, thus affecting the pulping effect. Therefore, this disclosure proposes a visual intelligent analysis and recognition device for waste paper bales in marine pulping. Combining high-definition cameras, deep learning, and image processing technology, it can efficiently identify the shape, foreign objects, and packaging status of waste paper bales. Through intelligent alarms and automatic diversion systems, it can improve the safety, reliability, and production efficiency of marine pulping systems, while adapting to the unique operating environment of ships, reducing human intervention, and ensuring the stability of the pulping process.

[0027] like Figures 1 to 7 As shown, a visual intelligent analysis and recognition device for waste paper bales based on marine pulping includes a feeding conveyor belt, a rotating assembly 1, a high-definition camera system 2, an illumination assembly 3, and a diversion assembly 4. The rotating assembly 1 is fixed to the ground, and the feeding conveyor belt is installed on one side of the rotating assembly 1. The rotating assembly 1 drives the waste paper bales to rotate, thereby cooperating with the high-definition camera system 2 to perform visual analysis on the waste paper bales. The illumination assembly 3 is installed on the rotating assembly 1, and the illumination assembly 3 is used to illuminate according to the rotation of the rotating assembly 1 to cooperate with the high-definition camera system 2 to complete the visual analysis. The diversion assembly 4 is installed on one side of the rotating assembly 1, and the diversion assembly 4 is used to divert waste paper bales according to different conditions.

[0028] Control and monitoring system

[0029] The operation and monitoring of the equipment are handled by an intelligent control system, ensuring automatic operation and recording data from each test: Real-time monitoring interface: Operators can view images and test results for each waste paper bale in real time on the monitoring screen, understanding the current operating status of the production line. Data recording and analysis: The system records the results and related data for each test, forming a data log for subsequent analysis and optimization. This data helps optimize the pulping process and identify common problems. Automatic update and learning: The system has automatic update and self-learning capabilities, continuously accumulating data to optimize algorithms and recognition accuracy, reducing false alarms and missed detections.

[0030] Marine environmental adaptability design

[0031] Since the equipment is installed on the ship's pulping production line, its environmental adaptability must be considered: Waterproof and dustproof design: Camera 22, lighting, and data processing units should be waterproof and dustproof to prevent the effects of moisture and dust in the marine environment on the equipment. Vibration-resistant design: Vibration during ship operation may affect the accuracy of Camera 22, therefore a vibration-resistant design is required to ensure that the equipment can still operate normally in a vibrating environment. Corrosion-resistant materials: The equipment casing and key components should be made of corrosion-resistant materials (such as stainless steel or special coatings) to prevent corrosion from seawater salt spray.

[0032] Intelligentization and Integration

[0033] The visual intelligent analysis and recognition device can be integrated with the entire pulping system, ensuring information exchange and smooth workflow: Integration with the pulping system: The device can connect to the central control platform of the pulping system to ensure that unqualified waste paper bales do not enter the production line, preventing equipment damage. Data sharing and remote control: Through network connection, the device can remotely transmit data for backend monitoring and management, while also supporting remote control and equipment software updates and upgrades.

[0034] This device combines a high-definition camera (22), deep learning, and image processing technology to efficiently identify the shape, foreign objects, and packaging status of waste paper bales. Through intelligent alarms and an automatic diversion system, it enhances the safety, reliability, and production efficiency of marine pulping systems, while adapting to the unique operating environment of ships, reducing human intervention, and ensuring the stability of the pulping process.

[0035] like Figure 2 As shown, the rotating assembly 1 includes a rotating motor 11, a rotating column 12, and a rotating disk 13. The rotating motor 11 is equipped with the rotating column 12, and the rotating column 12 is equipped with the rotating disk 13. The rotating motor 11 drives the rotating column 12 to rotate, and the rotation of the rotating column 12 drives the rotating disk 13 to rotate. The rotating disk 13 is used to transport the waste paper bales to the high-definition camera system 2 for visual analysis.

[0036] As shown in Figure 2, the rotating disk 13 has a periodic array of baffles 14, which are used to divide the waste paper bales into sections.

[0037] like Figure 3 As shown, the high-definition camera system 2 includes a bracket 21, a camera 22, and a light-blocking curtain 23. The bracket 21 is installed on one side of the rotating motor 11 and is used to support the camera 22. The bracket 21 is equipped with an array of four cameras 22. The light-blocking curtain 23 is installed on the edge of the bracket 21 and is used to block natural light.

[0038] The core of the visual analysis is the high-definition camera 22, responsible for capturing images of the appearance and details of the waste paper bales. The specific design considerations for camera 22 are as follows: Multi-angle arrangement: To capture the full view of the waste paper bales, camera 22 should be positioned at different angles (such as top and side) to ensure complete images without blind spots. High-speed imaging: To adapt to continuous operation on the production line, camera 22 needs to have high-speed shooting capabilities, still able to acquire clear images even when waste paper bales pass by quickly. High resolution: High-resolution camera 22 can capture subtle features of the waste paper bales, such as surface texture, cracks, and the tightness of the straps, which helps in accurate identification.

[0039] like Figures 5 to 7 As shown, the illumination assembly 3 includes a light lamp 31, a first conductive sheet 32, and a second conductive sheet 33. The array of light lamps 31 is mounted on the rotating disk 13, and the light lamps 31 are used to ensure the stability and clarity of image acquisition. A first conductive sheet 32 ​​is installed below the rotating disk, and the first conductive sheet 32 ​​is electrically connected to the light lamp 31 and corresponds to it one-to-one. A second conductive sheet 33 is installed on the bracket 21. Contact between the first conductive sheet 32 ​​and the second conductive sheet 33 causes the light lamp 31 to light up.

[0040] The design incorporates a bottom-mounted illumination lamp 31 and a sunshade to avoid shadows or bright areas, ensuring that every part of the waste paper package is evenly illuminated and the image is clear. At the same time, it avoids strong light reflecting off the surface of the waste paper package, which could affect the recognition accuracy. Furthermore, the camera 22 can be used to better perform visual analysis on the waste paper package.

[0041] like Figure 4 As shown, the diversion assembly 4 includes a support base 41, a robotic arm 42, a gripper 43, a first collection box 44, and a second collection box 45. The support base 41 is installed on one side of the rotating disk 13 and is used to support the diversion assembly 4. The robotic arm 42 is installed on the support base 41 and is used to control the direction of the gripper 43. The gripper 43 is installed at the end of the robotic arm 42 and is used to grip the waste paper bales. The first collection box 44 and the second collection box 45 are installed on one side of the support base 41. The first collection box 44 is used to hold qualified waste paper bales, and the second collection box 45 is used to hold unqualified waste paper bales.

[0042] Waste paper packages may contain non-paper foreign objects such as metal, plastic, glass, or batteries. A vision system can detect unusual objects in the appearance of waste paper packages: Object classification and feature detection: Based on deep learning object detection algorithms, a trained model identifies common foreign objects, such as objects with colors or shapes different from waste paper. Even if foreign objects are mixed in with waste paper, the system can identify them through different textures or reflective properties. Reflectance and color analysis: By analyzing the color and reflected light in the image, the system detects the presence of highly reflective metallic objects or brightly colored non-paper materials.

[0043] Waste paper bales may become misshapen due to improper packaging or compression. The system detects the shape of the waste paper bales through 3D shape analysis: Shape contour analysis: Through edge detection and shape recognition algorithms, the system can extract the contour lines of the waste paper bales and determine whether they conform to standard shapes. For example, it detects whether the waste paper bales have excessive bulges, dents, or damage. Size and volume calculation: Using geometric information in the image, the system can calculate the volume of the waste paper bales and determine whether it exceeds the allowable range. For excessively large waste paper bales, the system will issue an alarm to prevent them from getting stuck in the equipment.

[0044] The integrity of packaging is crucial for the transportation and disposal of waste paper bales. The system can automatically detect the bundling status and surface damage of waste paper bales: Bundling strap detection: By detecting the position and condition of the bundling straps on the surface of the waste paper bale, it determines whether they are loose, damaged, or missing. Surface damage detection: The system can identify whether there is damage or tearing on the surface of the waste paper bale, and accurately locate the damaged area by analyzing texture anomalies in the image;

[0045] The overall working process is as follows: the feeding conveyor belt transports the waste paper bag to the rotating disk 13, the rotating motor 11 drives the rotating disk 13 to rotate, and the rotating disk 13 drives the waste paper bag into the high-definition camera system 2. At this time, the corresponding first conductive sheet 32 ​​and second conductive sheet 33 come into contact, the light lamp 31 lights up, and the camera 22 captures the corresponding image for visual inspection. After the inspection is completed, if the inspection is qualified, the gripper 43 clamps the waste paper bag to the first collection box 44. If the inspection is unqualified, the gripper 43 clamps the waste paper bag to the second collection box 45.

[0046] Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed utility model. The scope of protection of this utility model is defined by the appended claims and their equivalents.

Claims

1. A visual intelligent analysis and recognition device for waste paper bales based on marine pulping, characterized in that, The system includes a feeding conveyor belt, a rotating assembly (1), a high-definition camera system (2), an illumination assembly (3), and a diversion assembly (4). The rotating assembly (1) is fixed on the ground, and the feeding conveyor belt is installed on one side of the rotating assembly (1). The rotating assembly (1) is used to drive the waste paper bales to rotate, thereby cooperating with the high-definition camera system (2) to perform visual analysis on the waste paper bales. The illumination assembly (3) is installed on the rotating assembly (1), and the illumination assembly (3) is used to light up according to the rotation of the rotating assembly (1) to cooperate with the high-definition camera system (2) to complete the visual analysis. The diversion assembly (4) is installed on one side of the rotating assembly (1), and the diversion assembly (4) is used to divert waste paper bales according to different conditions.

2. The visual intelligent analysis and recognition device for waste paper bales based on marine pulping as described in claim 1, characterized in that: The rotating assembly (1) includes a rotating motor (11), a rotating column (12) and a rotating disk (13). The rotating motor (11) is equipped with the rotating column (12) and the rotating disk (13) is equipped with the rotating column (12).

3. The visual intelligent analysis and recognition device for waste paper bales based on marine pulping as described in claim 2, characterized in that: The rotating disk (13) has baffles (14) arranged periodically on it.

4. The visual intelligent analysis and recognition device for waste paper bales based on marine pulping as described in claim 3, characterized in that: The high-definition camera system (2) includes a bracket (21), a camera (22) and a light-blocking curtain (23). The bracket (21) is installed on one side of the rotating motor (11). The camera (22) is arranged in an array on the bracket (21). There are four cameras (22). The light-blocking curtain (23) is installed on the edge of the bracket (21).

5. The visual intelligent analysis and recognition device for waste paper bales based on marine pulping as described in claim 4, characterized in that: The lighting assembly (3) includes a light lamp (31), a first conductive sheet (32) and a second conductive sheet (33). The array of light lamps (31) is mounted on the rotating disk (13). The first conductive sheet (32) is mounted below the rotating disk (13). The first conductive sheet (32) is electrically connected to the light lamps (31) and corresponds to them one-to-one. The second conductive sheet (33) is mounted on the bracket (21).

6. The visual intelligent analysis and recognition device for waste paper bales based on marine pulping as described in claim 5, characterized in that: The diversion assembly (4) includes a support base (41), a robotic arm (42), a gripper (43), a first collection box (44), and a second collection box (45). The support base (41) is installed on one side of the rotating disk (13). The robotic arm (42) is installed on the support base (41). The gripper (43) is installed at the end of the robotic arm (42). The first collection box (44) and the second collection box (45) are installed on one side of the support base (41).

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