Hub precision assembly process based on machine vision

Abstract

The invention discloses a hub precision assembly process based on machine vision, which comprises the following steps of: placing a hub on a specified workbench, quickly positioning the outer side of the hub, arranging a robot vision detection mechanism at the positioning position of the hub, and detecting the surface and the angle of the hub in a vision detection manner. According to the method, visual detection data are collected, the collected data are stored and backed up, and the collected and stored data are subjected to wireless communication transmission. According to the hub precise assembly process based on machine vision, visual inspection, data acquisition, transmission and analysis, hub leveling, automatic assembly control and diagnosis and maintenance are arranged, the horizontal plane and surface defects can be conveniently and rapidly detected when the hub is assembled, the hub is automatically leveled and positioned, and the production efficiency is improved. And the hub assembling precision is improved, automatic assembling and driving can be conveniently carried out, and the assembling qualification rate is increased through diagnosis and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of wheel hub precision assembly, and in particular to a wheel hub precision assembly process based on machine vision. Background Art

[0002] The wheel hub precision assembly process is a method that uses automatic conveyor lines, robotic arms, detection systems, automatic control systems and other equipment and technologies to achieve automatic processing of wheel hubs, including automatic processing, assembly, detection and packaging. With the continuous development of science and technology, people's requirements for the manufacturing process of wheel hub precision assembly technology are becoming higher and higher.

[0003] The existing wheel hub precision assembly process has certain drawbacks when used. First, the existing wheel hub precision assembly process cannot detect the position, direction and angle of the wheel hub quickly and conveniently, and cannot perform leveling control. Errors may occur, which reduces the precision of the wheel hub assembly and is not conducive to people's use. In addition, the existing wheel hub precision assembly process cannot perform automated assembly control and diagnosis quickly and conveniently when used, and the assembly control accuracy cannot meet the requirements well, which brings certain adverse effects to people's use process. For this reason, we propose a wheel hub precision assembly process based on machine vision. Summary of the Invention

[0004] Technical problem solved: In response to the shortcomings of the existing technology, the present invention provides a wheel hub precision assembly process based on machine vision, which is equipped with visual inspection, data acquisition, transmission and analysis, wheel hub leveling, automatic assembly control and diagnosis and maintenance. It can quickly and conveniently detect the horizontal surface and surface defects of the wheel hub during assembly, and automatically level and position the wheel hub, thereby improving the precision of the wheel hub assembly. It can also facilitate automated assembly and driving, and improve the assembly qualification rate through diagnosis and maintenance, which can effectively solve the problems in the background technology.

[0005] Technical solution: To achieve the above purpose, the technical solution adopted by the present invention is: a wheel hub precision assembly process based on machine vision, which specifically includes the following operating steps: S1: Wheel hub positioning: Place the wheel hub on the designated workbench and quickly locate the outer side of the wheel hub; S2: Visual inspection: A robot visual inspection mechanism is set up at the wheel hub positioning position to perform surface and angle inspection of the wheel hub through visual inspection; S3: Data collection: collect visual inspection data, store and back up the collected data; S4: Data transmission and analysis: Wireless communication is used to transmit the collected and stored data to the background controller, and the data is analyzed in real time; S5: Wheel leveling: After analyzing the visual inspection data, check whether the wheel hub is in a parallel state. If not, perform leveling control based on the data and re-position. S6: CCD inspection: After the wheel hub is leveled, the wheel hub is inspected again by camera to check the leveling status of the wheel hub and whether there are any defects on the wheel hub surface; S7: Assembly control: After the wheel hub is leveled and positioned, the wheel hub that has passed the inspection is assembled and processed. Mechanical automation is used for assembly, and the position and drive are controlled at the same time. S8: Diagnostic testing: The assembled wheel hub is inspected and diagnosed again, and regular maintenance is performed, and defects are handled at the same time.

[0006] As a preferred technical solution of the present application, the wheel hub precision assembly process in steps S1-S8 includes wheel hub positioning, visual inspection, data acquisition, data transmission, wheel hub leveling, CCD inspection, assembly control and diagnostic inspection and maintenance.

[0007] As a preferred technical solution of the present application, the wheel hub precision assembly in the steps S1-S8 includes a wheel hub positioning module, a visual inspection module, a data acquisition module, a data transmission and analysis module, a wheel hub leveling module, a CCD detection module, an assembly control module and a diagnostic detection module.

[0008] As a preferred technical solution of the present application, the wheel hub positioning module includes positioning of position, direction and angle, and the visual detection module includes image capture, image processing and feature extraction, and saves and transmits the extracted image.

[0009] As a preferred technical solution of the present application, the data acquisition module includes the collection of surface defects, directions and angles, and the data transmission and analysis module includes wired transmission, wireless transmission and feature extraction, extracts relevant images and performs intelligent analysis and background processing.

[0010] As a preferred technical solution of the present application, the wheel hub leveling module includes leveling control, leveling detection and leveling positioning, and uses a robot to perform automated leveling processing, and the wheel hub is raised to a plane and then positioned. The CCD detection module includes image recognition, position detection and wheel hub surface defect recognition.

[0011] As a preferred technical solution of the present application, the assembly control module includes point control, mechanical control and drive control, automatically controls the movement of the robotic arm, and quickly performs assembly processing through point coordinates. The diagnostic detection module includes wheel hub maintenance, wheel hub diagnosis and wheel hub surface defect treatment.

[0012] As a preferred technical solution of the present application, the data acquisition module is internally provided with a position data acquisition module, a CCD data acquisition module, a data receiving module, a data classification module, a data cache module, a data archiving module and a data output module. The position data acquisition module and the CCD data acquisition module are connected to the data receiving module, the data receiving module is connected to the data classification module, the data classification module is connected to the data cache module, and the data cache module is connected to the data archiving module and the data output module.

[0013] Beneficial effects: Compared with the prior art, the present invention provides a wheel hub precision assembly process based on machine vision, which has the following beneficial effects: This wheel hub precision assembly process based on machine vision is equipped with visual inspection, data acquisition, transmission and analysis, wheel hub leveling, automatic assembly control and diagnosis and maintenance, which can quickly and conveniently detect the horizontal surface and surface defects during wheel hub assembly, and automatically level and position the wheel hub, thereby improving the precision of wheel hub assembly, and can also facilitate automated assembly and driving, improve the qualified rate of assembly through diagnosis and maintenance, place the wheel hub on a designated workbench, and quickly locate the outer position of the wheel hub; set a robot visual inspection mechanism at the wheel hub positioning position, and perform surface and angle inspection of the wheel hub by visual inspection; collect the visual inspection data, The collected data is stored and backed up; the collected and stored data is transmitted wirelessly to the background controller, and the data is analyzed in real time; after analyzing the visual inspection data, check whether the wheel hub is in a parallel state. If it is not parallel, leveling control is performed through data and re-positioning is performed; after the wheel hub is leveled, the wheel hub is again inspected by video to check the leveling state of the wheel hub and whether there are any defects on the wheel hub surface; after the wheel hub is leveled and positioned, the wheel hub that has passed the inspection is assembled and processed, and mechanical automation is used for assembly, while the point position and drive are controlled; the assembled wheel hub is inspected and diagnosed again, and regular maintenance is performed, and defect processing is performed at the same time. The entire wheel hub precision assembly process has a simple structure, is easy to operate, and has better results than traditional methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of the overall structure of a wheel hub precision assembly process based on machine vision in the present invention.

[0015] Figure 2 The figure is a schematic diagram of the overall process of a wheel hub precision assembly process based on machine vision in the present invention.

[0016] Figure 3 The figure is a schematic diagram of a simplified process of wheel hub precision assembly process based on machine vision according to the present invention. DETAILED DESCRIPTION

[0017] The technical scheme of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, but it will be understood by those skilled in the art that the following described embodiments are part of embodiments of the present invention, rather than all embodiments, and are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of the present invention. Those who do not specify specific conditions in the embodiments are carried out according to normal conditions or the conditions recommended by the manufacturer. Those whose reagents or instruments are not specified by the manufacturer are conventional products that can be purchased commercially.

[0018] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0019] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0020] like Figure 1-3 As shown in the figure, a wheel hub precision assembly process based on machine vision includes the following steps: S1: Wheel hub positioning: Place the wheel hub on the designated workbench and quickly locate the outer side of the wheel hub; S2: Visual inspection: A robot visual inspection mechanism is set up at the wheel hub positioning position to perform surface and angle inspection of the wheel hub through visual inspection; S3: Data collection: collect visual inspection data, store and back up the collected data; S4: Data transmission and analysis: Wireless communication is used to transmit the collected and stored data to the background controller, and the data is analyzed in real time; S5: Wheel leveling: After analyzing the visual inspection data, check whether the wheel hub is in a parallel state. If not, perform leveling control based on the data and re-position. S6: CCD inspection: After the wheel hub is leveled, the wheel hub is inspected again by camera to check the leveling status of the wheel hub and whether there are any defects on the wheel hub surface; S7: Assembly control: After the wheel hub is leveled and positioned, the wheel hub that has passed the inspection is assembled and processed. Mechanical automation is used for assembly, and the position and drive are controlled at the same time. S8: Diagnostic testing: The assembled wheel hub is inspected and diagnosed again, and regular maintenance is performed, and defects are handled at the same time.

[0021] It is equipped with visual inspection, data acquisition, transmission and analysis, wheel leveling, automatic assembly control and diagnosis and maintenance. It can quickly and conveniently detect the horizontal surface and surface defects during wheel assembly, and automatically level and position the wheel to improve the precision of wheel assembly. It can also facilitate automated assembly and driving, and improve the assembly qualification rate through diagnosis and maintenance.

[0022] Furthermore, the wheel hub precision assembly process in steps S1-S8 includes wheel hub positioning, visual inspection, data acquisition, data transmission, wheel hub leveling, CCD inspection, assembly control and diagnostic inspection and maintenance.

[0023] Furthermore, the wheel hub precision assembly in steps S1-S8 includes a wheel hub positioning module, a visual inspection module, a data acquisition module, a data transmission and analysis module, a wheel hub leveling module, a CCD inspection module, an assembly control module and a diagnostic inspection module.

[0024] Furthermore, the wheel hub positioning module includes positioning of position, direction and angle, and the visual detection module includes image capture, image processing and feature extraction, and saves and transmits the extracted images.

[0025] Furthermore, the data acquisition module includes the collection of surface defects, directions and angles, and the data transmission and analysis module includes wired transmission, wireless transmission and feature extraction, extracting relevant images and performing intelligent analysis and background processing.

[0026] Furthermore, the wheel hub leveling module includes leveling control, leveling detection and leveling positioning. A robot is used for automated leveling processing to raise the wheel hub to a flat surface and then position it. The CCD detection module includes image recognition, position detection and wheel hub surface defect recognition.

[0027] Furthermore, the assembly control module includes point control, mechanical control and drive control, automatically controls the movement of the robotic arm, and quickly performs assembly processing through point coordinates. The diagnosis and detection module includes wheel hub maintenance, wheel hub diagnosis and wheel hub surface defect treatment.

[0028] Furthermore, the data acquisition module is internally provided with a position data acquisition module, a CCD data acquisition module, a data receiving module, a data classification module, a data cache module, a data archiving module and a data output module. The position data acquisition module and the CCD data acquisition module are connected to the data receiving module, the data receiving module is connected to the data classification module, the data classification module is connected to the data cache module, and the data cache module is connected to the data archiving module and the data output module. Example

[0029] Place the wheel hub on the designated workbench, quickly locate the outer side of the wheel hub, and detect the coordinate positions around the bottom of the wheel hub; A robot visual inspection mechanism is set at the wheel hub positioning position to perform surface and angle inspection of the wheel hub through visual inspection. The four coordinate positions detected are (2, 2, 2), (2, 4, 2), (1, 3, 1), and (3, 3, 3). The visual inspection data is collected, stored and backed up, and the surface is polished if there is a 2cm scratch; Wireless communication is used to transmit the collected and stored data to the background controller, and the data is analyzed in real time; After analyzing the visual inspection data, it was found that the wheel hub was not parallel. Leveling control was performed through the data, and positioning was performed again. At this time, the four coordinate positions detected were (2, 2, 2), (2, 4, 2), (1, 3, 2), and (3, 3, 2). After the wheel hub is leveled, the wheel hub is again inspected by video to check the leveling status of the wheel hub and whether there are any defects on the wheel hub surface. At this time, after analysis, the wheel hub is in a parallel state and there are no defects on the surface. After the wheel hub is leveled and positioned, the qualified wheel hub is assembled and processed, and mechanical automation is used for assembly, while the point position and drive are controlled; The assembled wheel hub is inspected and diagnosed again, and regularly maintained and defect treatment is carried out. Example

[0030] Place the wheel hub on the designated workbench, quickly locate the outer side of the wheel hub, and detect the coordinate positions around the bottom of the wheel hub; A robot visual inspection mechanism is set at the wheel hub positioning position to perform surface and angle inspection of the wheel hub through visual inspection. The four coordinate positions detected are (4, 4, 4), (4, 8, 4), (2, 6, 2), and (3, 3, 6). The data of visual inspection is collected, stored and backed up, and the surface of the inspection has 3cm scratches and is polished; Wireless communication is used to transmit the collected and stored data to the background controller, and the data is analyzed in real time; After analyzing the visual inspection data, it was found that the wheel hub was not parallel. Leveling control was performed through the data, and positioning was performed again. At this time, the four coordinate positions detected were (4, 4, 4), (4, 8, 4), (2, 6, 4), and (3, 3, 4). After the wheel hub is leveled, the wheel hub is again inspected by video to check the leveling status of the wheel hub and whether there are any defects on the wheel hub surface. At this time, after analysis, the wheel hub is in a parallel state and there are no defects on the surface. After the wheel hub is leveled and positioned, the qualified wheel hub is assembled and processed, and mechanical automation is used for assembly, while the point position and drive are controlled; The assembled wheel hub is inspected and diagnosed again, and regularly maintained and defect treatment is carried out. Example

[0031] Place the wheel hub on the designated workbench, quickly locate the outer side of the wheel hub, and detect the coordinate positions around the bottom of the wheel hub; A robot visual inspection mechanism is set at the wheel hub positioning position to perform surface and angle inspection of the wheel hub through visual inspection. The four coordinate positions detected are (3, 3, 3), (3, 9, 3), (1, 6, 2), and (3, 6, 4). The visual inspection data is collected, stored and backed up, and a 4cm scratch is detected on the surface for polishing; Wireless communication is used to transmit the collected and stored data to the background controller, and the data is analyzed in real time; After analyzing the visual inspection data, it was found that the wheel hub was not parallel. Leveling control was performed through the data, and positioning was performed again. At this time, the four coordinate positions detected were (3, 3, 3), (3, 9, 3), (1, 6, 6), and (3, 6, 3). After the wheel hub is leveled, the wheel hub is again inspected by video to check the leveling status of the wheel hub and whether there are any defects on the wheel hub surface. At this time, after analysis, the wheel hub is in a parallel state and there are no defects on the surface. After the wheel hub is leveled and positioned, the qualified wheel hub is assembled and processed, and mechanical automation is used for assembly, while the point position and drive are controlled; The assembled wheel hub is inspected and diagnosed again, and regularly maintained and defect treatment is carried out.

[0032] It should be noted that, in this document, relational terms such as first and second (number one, number two), etc., are used solely to distinguish one entity or operation from another, and do not necessarily require or imply any actual relationship or order between these entities or operations. Furthermore, the terms "include," "comprise," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "includes a..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0033] The basic principles, main features and advantages of the present invention are shown and described above. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention, and such changes and modifications fall within the scope of the invention as claimed.

Claims

1. A wheel hub precision assembly process based on machine vision, characterized by: The specific steps include the following: S1: Wheel hub positioning: Place the wheel hub on the designated workbench and quickly locate the outer side of the wheel hub; S2: Visual inspection: A robot visual inspection mechanism is set up at the wheel hub positioning position to perform surface and angle inspection of the wheel hub through visual inspection; S3: Data collection: collect visual inspection data, store and back up the collected data; S4: Data transmission and analysis: Wireless communication is used to transmit the collected and stored data to the background controller, and the data is analyzed in real time; S5: Wheel leveling: After analyzing the visual inspection data, check whether the wheel hub is in a parallel state. If not, perform leveling control based on the data and re-position. S6: CCD inspection: After the wheel hub is leveled, the wheel hub is inspected again by camera to check the leveling status of the wheel hub and whether there are any defects on the wheel hub surface; S7: Assembly control: After the wheel hub is leveled and positioned, the wheel hub that has passed the inspection is assembled and processed. Mechanical automation is used for assembly, and the position and drive are controlled at the same time. S8: Diagnostic testing: The assembled wheel hub is inspected and diagnosed again, and regular maintenance is performed, and defects are handled at the same time.

2. The wheel hub precision assembly process based on machine vision according to claim 1, characterized in that: The wheel hub precision assembly process in steps S1-S8 includes wheel hub positioning, visual inspection, data acquisition, data transmission, wheel hub leveling, CCD inspection, assembly control and diagnostic inspection and maintenance.

3. The wheel hub precision assembly process based on machine vision according to claim 1, characterized in that: The wheel hub precision assembly in steps S1-S8 includes a wheel hub positioning module, a visual inspection module, a data acquisition module, a data transmission analysis module, a wheel hub leveling module, a CCD inspection module, an assembly control module and a diagnostic inspection module.

4. The wheel hub precision assembly process based on machine vision according to claim 3, characterized in that: The wheel hub positioning module includes positioning of position, direction and angle, and the visual detection module includes image capture, image processing and feature extraction, and saves and transmits the extracted images.

5. The wheel hub precision assembly process based on machine vision according to claim 3, characterized in that: The data acquisition module includes the collection of surface defects, directions and angles, and the data transmission and analysis module includes wired transmission, wireless transmission and feature extraction, extracts relevant images and performs intelligent analysis and background processing.

6. The wheel hub precision assembly process based on machine vision according to claim 3, characterized in that: The wheel hub leveling module includes leveling control, leveling detection and leveling positioning. A robot is used for automated leveling processing to raise the wheel hub to a flat surface and then position it. The CCD detection module includes image recognition, position detection and wheel hub surface defect recognition.

7. The wheel hub precision assembly process based on machine vision according to claim 3, characterized in that: The assembly control module includes point control, mechanical control and drive control, automatically controls the movement of the robotic arm, and quickly performs assembly processing through point coordinates. The diagnosis and detection module includes wheel hub maintenance, wheel hub diagnosis and wheel hub surface defect treatment.

8. The wheel hub precision assembly process based on machine vision according to claim 3, characterized in that: The data acquisition module is internally provided with a position data acquisition module, a CCD data acquisition module, a data receiving module, a data classification module, a data cache module, a data archiving module and a data output module. The position data acquisition module and the CCD data acquisition module are connected to the data receiving module, the data receiving module is connected to the data classification module, the data classification module is connected to the data cache module, and the data cache module is connected to the data archiving module and the data output module.

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