A Method for Analyzing and Evaluating the Manufacturing Quality of Automobile Wheel Hubs Based on Image Processing Technology

Through the automobile wheel hub manufacturing quality analysis and evaluation method based on image processing technology, the manufacturing quality of automobile wheel hubs is comprehensively evaluated, which solves the single-dimensional and insufficiently detailed problems of the existing analysis methods, improves the accuracy and coverage of detection, and ensures the safety of the vehicle. Security and performance stability.

CN118761674BActive Publication Date: 2025-01-21SHANDONG HUOJUE PILOT IND TECH CO LTD
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Patent Information

Application Number
CN202410966532.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-18
Publication Date
2025-01-21
Estimated Expiration
2044-07-18

AI Technical Summary

Technical Problem

The existing automotive wheel hub manufacturing quality analysis methods have problems such as single analysis dimensions, inability to comprehensively evaluate bolt hole deviation, insufficient structural quality analysis, and insufficient performance fatigue analysis, resulting in insufficient detection accuracy and coverage.

Method used

The automobile wheel hub manufacturing quality analysis and evaluation method based on image processing technology is adopted to comprehensively evaluate the manufacturing quality of automobile wheel hubs through dimensional qualification analysis, structural quality qualification analysis, performance quality qualification analysis and comprehensive manufacturing quality analysis. Specific steps include collecting tire ring diameter, bolt hole diameter, surface and internal image information, conducting performance tests, calculating various quality qualifications and comprehensively analyzing them.

Benefits of technology

It improves the coverage and accuracy of automobile wheel hub manufacturing quality analysis, ensures the connection reliability of automobile wheel hubs, vehicle safety and performance stability, can effectively prevent safety hazards and performance degradation problems caused by structural quality problems, and promote products Improve and innovate.

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Abstract

The invention relates to the technical field of automobile wheel hub manufacturing quality, and specifically discloses an automobile wheel hub manufacturing quality analysis and evaluation method based on image processing technology, the method comprising: size qualification analysis, structure quality qualification analysis, performance quality qualification analysis and comprehensive manufacturing quality analysis; the invention analyzes the comprehensive manufacturing quality coefficient of the target automobile wheel hub by analyzing the size qualification, structure quality qualification and performance quality qualification of each target automobile wheel hub, and performs feedback, diversifies the analysis dimensions, analyzes the manufacturing quality of the automobile wheel hub from multiple aspects and angles, improves the coverage of the automobile wheel hub manufacturing quality analysis, thereby improving the accuracy of the automobile wheel hub manufacturing quality analysis, ensuring the connection reliability of the automobile wheel hub, the safety and performance stability of the vehicle, and can effectively prevent safety hazards and performance degradation problems caused by structural quality problems.
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Description

Technical Field

[0001] The invention relates to the technical field of automobile wheel hub manufacturing quality, and in particular to an automobile wheel hub manufacturing quality analysis and evaluation method based on image processing technology. Background Art

[0002] Traditionally, the quality inspection of automobile wheels mainly relies on manual work, which is not only inefficient, but also difficult to ensure the accuracy of the inspection results. With the development of industrial automation and intelligence, machine vision and image processing technology have gradually been applied to the field of industrial inspection, significantly improving the inspection efficiency and accuracy. Therefore, it is of great significance to develop an automobile wheel manufacturing quality analysis and evaluation system based on image processing technology.

[0003] The existing analysis and evaluation methods for automobile wheel hub manufacturing quality still have the following problems: 1. The analysis dimension is relatively single, and the manufacturing quality of automobile wheel hub is not analyzed from multiple aspects and angles, which reduces the coverage of automobile wheel hub manufacturing quality analysis and thus reduces the accuracy of automobile wheel hub manufacturing quality analysis.

[0004] 2. In terms of dimensional quality analysis, when analyzing the dimensions of the bolt holes in the automobile wheel hub, the dimensional deviation of the bolt holes themselves and the deviation between the bolt holes were not analyzed at the same time, which made it impossible to ensure the connection reliability of the automobile wheel hub, the safety of the vehicle and the performance stability.

[0005] 3. At the structural quality analysis level, a comprehensive analysis of the external and internal structural qualities of the automobile wheel hub was not conducted simultaneously, which made it impossible to ensure that the quality and performance of the automobile wheel hub met the design requirements, and thus was unable to effectively prevent safety hazards and performance degradation caused by structural quality problems.

[0006] 4. At the performance and quality analysis level, when conducting bending fatigue tests on automobile wheels, we currently only focus on whether there are cracks at the junction of the rim and the spokes. We do not analyze the dynamic changes in the cracking at the junction of the rim and the spokes. This makes it impossible to intuitively display the fatigue of the automobile wheel, which reduces the safety of vehicle driving and fails to promote product improvement and innovation. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, a method for analyzing and evaluating the manufacturing quality of automobile wheels based on image processing technology is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a method for analyzing and evaluating the manufacturing quality of automobile wheels based on image processing technology, comprising the following steps: S1. Dimensional conformity analysis: randomly selecting a number of automobile wheels from a target automobile wheel manufacturing factory and recording them as target automobile wheels, collecting the tire ring diameter, tire ring width, center hole diameter and the diameter of the circle where each bolt hole is located of each target automobile wheel, and analyzing the dimensional conformity of each target automobile wheel.

[0009] S2. Structural quality qualification analysis: collect surface images and internal images of each target automobile wheel hub, thereby obtaining surface image information and internal image information of each target automobile wheel hub, and analyzing the structural quality qualification of each target automobile wheel hub.

[0010] S3. Performance quality qualification analysis: perform performance quality tests on each target automobile wheel hub, collect performance test information corresponding to each target automobile wheel hub, and analyze the performance quality qualification of each target automobile wheel hub.

[0011] S4. Comprehensive manufacturing quality analysis: Analyze the comprehensive manufacturing quality coefficient of the target automobile wheel hub and compare it with the set value. If it is less than the set value, feedback is given.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention analyzes the comprehensive manufacturing quality coefficient of the target automobile hub by analyzing the size qualification, structural quality qualification and performance quality qualification of each target automobile hub, and diversifies the analysis dimensions, analyzes the manufacturing quality of the automobile hub from multiple aspects and angles, thereby improving the coverage of the automobile hub manufacturing quality analysis and thus improving the accuracy of the automobile hub manufacturing quality analysis.

[0013] (2) The present invention calculates the uniformity of bolt hole diameters and the error of bolt hole diameters of each target automobile wheel hub, and simultaneously analyzes the size deviation of the bolt holes themselves and the deviation between the bolt holes, thereby ensuring the connection reliability of the automobile wheel hub, the safety of the vehicle, and the performance stability.

[0014] (3) The present invention calculates the structural quality qualification of each target automobile wheel hub by calculating the surface coating uniformity and internal structure quality coefficient of each target automobile wheel hub, thereby ensuring that the quality and performance of the automobile wheel hub meet the design requirements, thereby effectively preventing safety hazards and performance degradation caused by structural quality problems.

[0015] (4) The present invention calculates the cracking degree of the rim-spoke junction corresponding to each target automobile wheel hub in each test process and analyzes the dynamic change of the cracking at the rim-spoke junction, thereby obtaining the bending fatigue index of each target automobile wheel hub, intuitively displaying the fatigue condition of the automobile wheel hub, improving the driving safety of the vehicle, and at the same time helping to promote product improvement and innovation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 The figure is a schematic flow chart of the steps of the method of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1 As shown, the present invention provides an automobile wheel hub manufacturing quality analysis and evaluation method based on image processing technology, including: S1, size acceptance analysis: randomly select a number of automobile hubs from a target automobile hub manufacturing factory and record them as target automobile hubs, collect the tire ring diameter, tire ring width, center hole diameter and the diameter of the circle where each bolt hole is located of each target automobile hub, and analyze the size acceptance of each target automobile hub.

[0020] It should be noted that the tire ring diameter, tire ring width, center hole diameter and diameter of the circle where each bolt hole is located of each target automobile wheel hub are all located and obtained from the collected images of each target automobile wheel hub.

[0021] In a specific embodiment of the present invention, the specific process of analyzing the size qualification of each target automobile wheel hub is as follows: A1, based on the tire ring diameter, tire ring width and center hole diameter of each target automobile wheel hub, calculate the overall size qualification of each target automobile wheel hub. ,in, Indicates the number of the target car wheel hub, .

[0022] It should be noted that the specific process of calculating the overall size qualification of each target automobile wheel hub is as follows: the tire ring diameter, tire ring width and center hole diameter of each target automobile wheel hub are respectively recorded as , and .

[0023] The tire ring diameter, tire ring width and center hole diameter of the target automobile wheel hub are extracted from the database and recorded as , and .

[0024] Calculate the overall size qualification of each target automobile wheel hub , ,in, , and They respectively represent the reference tire ring diameter deviation, tire ring width deviation and center hole diameter deviation.

[0025] A2. Calculate the local dimensional conformity of each target automobile wheel hub based on the diameter of the circle where each bolt hole of each target automobile wheel hub is located. .

[0026] In a specific embodiment of the present invention, the specific process of calculating the local size qualification of each target automobile wheel hub is as follows: B1, the diameter of the circle where each bolt hole of each target automobile wheel hub is located is recorded as ,in, Indicates the number of the bolt hole. .

[0027] B2. Calculate the uniformity of bolt hole diameters of each target automobile wheel hub , ,in, Indicates The first target car wheel The diameter of the circle containing the bolt holes, Indicates the total diameter deviation from the set reference, Represents a natural constant.

[0028] B3. Subtract the diameter of the circle where each bolt hole of each target automobile wheel hub is located from the specified diameter of the circle where the bolt hole of each target automobile wheel hub is located stored in the database to obtain the diameter deviation of the circle where each bolt hole of each target automobile wheel hub is located, and extract the maximum value from it, which is recorded as .

[0029] B4. Calculate the bolt hole diameter error of each target automobile wheel hub , ,in, Indicates the diameter deviation from the set reference.

[0030] B5. Calculate the local size conformity of each target automobile wheel hub , ,in, and They represent the weights of the local size qualification assessment corresponding to the set bolt hole diameter uniformity and bolt hole diameter error, respectively. .

[0031] In a specific embodiment of the present invention, The setting value of is 0.5. The setting value is 0.5. The uniformity of bolt hole diameter reflects the stability and accuracy of the processing process. In situations where high-precision matching or assembly is required, the uniformity of bolt hole diameter is particularly important. The size of the error directly affects the matching tightness and connection strength between the bolt and the hole. Therefore, when conducting a qualification assessment, it is necessary to comprehensively consider and make reasonable judgments.

[0032] The embodiment of the present invention calculates the uniformity of bolt hole diameters and the error of bolt hole diameters of each target automobile wheel hub, and simultaneously analyzes the size deviation of the bolt holes themselves and the deviations between the bolt holes, thereby ensuring the connection reliability of the automobile wheel hub, the safety of the vehicle, and the performance stability.

[0033] A3. Calculate the size qualification of each target automobile wheel hub , ,in, and They represent the weights of the overall dimension qualification and the local dimension qualification corresponding to the dimension qualification assessment. .

[0034] In a specific embodiment of the present invention, The setting value of is 0.5. The setting value of is 0.5. In practical applications, when calculating the dimensional conformity of each target automobile wheel hub, it is necessary to comprehensively consider the overall dimensional conformity and the local dimensional conformity. On the one hand, it is necessary to ensure that the overall size of the wheel hub meets the specifications of the vehicle manufacturer to ensure installation compatibility and driving stability. On the other hand, attention should also be paid to the local dimensional accuracy of the wheel hub.

[0035] S2. Structural quality qualification analysis: collect surface images and internal images of each target automobile wheel hub, thereby obtaining surface image information and internal image information of each target automobile wheel hub, and analyzing the structural quality qualification of each target automobile wheel hub.

[0036] In a specific embodiment of the present invention, the surface image information is the grayscale value of each grayscale area, and the internal image information includes the number of pores, the volume of each pore, the number of inclusions and the volume of each inclusion in each monitoring area.

[0037] It should be noted that the grayscale value of each grayscale area is collected by using a high-definition camera to collect the surface image of each target automobile wheel hub, and importing the surface image of each target automobile wheel hub into a computer, using image processing software to process and analyze it, thereby obtaining the surface grayscale image of each target automobile wheel hub, and locating the grayscale value of each grayscale area therefrom.

[0038] It should also be noted that the method for collecting the number of pores and the volume of each pore in each monitoring area is: ultrasonic detection is performed on each monitoring area of ​​each target automobile wheel hub to obtain each ultrasonic image of each monitoring area of ​​each target automobile wheel hub, and each ultrasonic image is matched and compared with a set set of ultrasonic change graphs when the ultrasonic wave passes through the pores. If an ultrasonic image is within the set set of ultrasonic change graphs when the ultrasonic wave passes through the pores, the ultrasonic image is recorded as an ultrasonic image passing through the pores, and the number of ultrasonic images passing through the pores is counted and recorded as the number of pores, thereby obtaining the number of pores in each monitoring area, and using the built-in measuring tool to collect the volume of each pore.

[0039] It should also be noted that the method for collecting the number of inclusions and the volume of each inclusion in each monitoring area is: matching and comparing each ultrasonic image with a set set of ultrasonic change graphs when the ultrasonic wave passes through the inclusions; if an ultrasonic image is within the set set of ultrasonic change graphs when the ultrasonic wave passes through the inclusions, the ultrasonic image is recorded as an ultrasonic image passing through the inclusions, and the number of ultrasonic images passing through the inclusions is counted and recorded as the number of inclusions, thereby obtaining the number of inclusions in each monitoring area, and using the built-in measurement tools, the volume of each inclusion can be collected.

[0040] In a specific embodiment of the present invention, the specific process of analyzing the structural quality qualification of each target automobile wheel hub is as follows: C1, extracting the gray value of each gray area from the surface image information of each target automobile wheel hub, and calculating the surface coating uniformity of each target automobile wheel hub. .

[0041] It should be noted that the specific process of calculating the surface coating uniformity of each target automobile wheel hub is as follows: the grayscale value of each grayscale area of ​​each target automobile wheel hub is recorded as ,in, Indicates the number of the grayscale area, .

[0042] Calculate the surface coating uniformity of each target automobile wheel hub , ,in, Indicates The first target car wheel The gray value of the gray area, Indicates the grayscale value deviation of the setting reference.

[0043] C2. Extract the number of pores, the volume of each pore, the number of inclusions and the volume of each inclusion in each monitoring area from the internal image information of each target automobile wheel hub, and calculate the internal structure quality coefficient of each target automobile wheel hub. .

[0044] In a specific embodiment of the present invention, the specific process of calculating the internal structure quality coefficient of each target automobile wheel hub is as follows: D1, based on the number of pores and the volume of each pore in each monitoring area of ​​each target automobile wheel hub, calculate the porosity of each target automobile wheel hub. .

[0045] It should be noted that the specific process of calculating the porosity of each target automobile wheel hub is as follows: the number of pores in each monitoring area of ​​each target automobile wheel hub is recorded as ,in, Indicates the number of the monitoring area. .

[0046] The pore volumes of each monitoring area of ​​each target automobile wheel hub are accumulated to obtain the pore volumes of each monitoring area of ​​each target automobile wheel hub, which is recorded as .

[0047] Calculate the porosity of each target automobile wheel hub , ,in, and Respectively represent the number and volume of pores used as reference. Indicates the number of monitoring areas.

[0048] D2. Based on the number of inclusions and the volume of each inclusion in each monitoring area of ​​each target automobile wheel hub, the impurity degree of each target automobile wheel hub is calculated in the same way as the porosity of each target automobile wheel hub. .

[0049] D3. Calculate the internal structure quality coefficient of each target automobile wheel hub , ,in, and They represent the weights of the internal structure quality assessment corresponding to the set porosity and impurity, respectively. .

[0050] In a specific embodiment of the present invention, The setting value of is 0.5. The setting value of is 0.5. In the automobile wheel hub, the increase of porosity may reduce the bearing capacity and durability of the wheel hub, thus affecting the safety and stability of the vehicle. The increase of impurity will reduce the purity and uniformity of the material, thus affecting the mechanical properties and corrosion resistance of the wheel hub. Both may have a significant impact on the internal structure quality of the wheel hub. Therefore, when calculating the internal structure quality coefficient of each target automobile wheel hub, the porosity and impurity should be considered comprehensively.

[0051] C3. Calculate the structural quality qualification of each target automobile wheel hub , ,in, and They represent the weights of the set surface coating uniformity and internal structure quality coefficient corresponding to the structural quality qualification assessment. .

[0052] In a specific embodiment of the present invention, The setting value of is 0.5. The setting value of is 0.5. When calculating the structural quality qualification of each target automobile wheel hub, the surface coating uniformity and internal structure quality coefficient are important considerations. One of the main functions of the coating is to protect the wheel hub from damage by external factors such as corrosion and scratches. The higher the coating uniformity, the better the protection performance of the wheel hub, which can extend the service life of the wheel hub. The improvement of the internal structure quality coefficient can reduce the risk of safety accidents such as breakage and deformation of the wheel hub during driving.

[0053] The embodiment of the present invention calculates the surface coating uniformity and internal structure quality coefficient of each target automobile wheel hub, thereby calculating the structural quality qualification of each target automobile wheel hub, ensuring that the quality and performance of the automobile wheel hub meet the design requirements, thereby effectively preventing safety hazards and performance degradation caused by structural quality problems.

[0054] S3. Performance quality qualification analysis: perform performance quality tests on each target automobile wheel hub, collect performance test information corresponding to each target automobile wheel hub, and analyze the performance quality qualification of each target automobile wheel hub.

[0055] In a specific embodiment of the present invention, the performance test information includes impact resistance test information and bending fatigue test information, wherein the impact resistance test information is the depression volume of each sub-area, and the bending fatigue test information is the number of cracks and the length of each crack that appear at the junction of the rim and the spoke during the test.

[0056] It should be noted that the method for collecting the recessed volume is: use a 3D scanner to scan each target car wheel hub, obtain the three-dimensional coordinate data of each target car wheel hub, import the three-dimensional coordinate data into the three-dimensional modeling software, and establish a three-dimensional model of each target car wheel hub. In the three-dimensional model, the recessed volume in each sub-area of ​​each target car wheel hub can be clearly seen, and the measuring tool in the three-dimensional modeling software is used to measure the recessed volume.

[0057] It should be noted that the method for collecting the number of cracks and the length of each crack is: using a high-resolution camera to photograph the junction of the rim and the spoke, and then automatically identifying and counting the number of cracks at the junction of the rim and the spoke through computer vision technology, using a 3D scanner to scan each target automobile wheel hub to generate a three-dimensional model, and then using software to analyze the crack length at the junction of the rim and the spoke in the model, thereby obtaining the length of each crack.

[0058] In a specific embodiment of the present invention, the specific process of analyzing the performance quality qualification of each target automobile wheel hub is as follows: E1, extracting the concave volume of each sub-area from the impact resistance test information corresponding to each target automobile wheel hub, and calculating the impact resistance performance index of each target automobile wheel hub. .

[0059] It should be noted that the specific process of calculating the impact resistance index of each target automobile wheel hub is: counting the number of sub-areas with a concave volume of 0 corresponding to each target automobile wheel hub, and recording it as the number of normal sub-areas .

[0060] The sub-regions whose concave volumes corresponding to the target automobile wheels are not 0 are recorded as abnormal sub-regions, and the maximum value is extracted from the concave volumes of the abnormal sub-regions corresponding to the target automobile wheels, which is recorded as .

[0061] Calculate the impact resistance index of each target automobile wheel hub , ,in, and They represent the number of normal sub-regions and the concave volume of the set reference respectively.

[0062] E2. Extract the number of cracks and the length of each crack at the junction of the rim and the spoke during each test from the bending fatigue test information corresponding to each target automobile wheel hub, and calculate the bending fatigue index of each target automobile wheel hub. .

[0063] In a specific embodiment of the present invention, the specific process of calculating the bending fatigue index of each target automobile wheel hub is: F1. Based on the number of cracks and the length of each crack occurring at the junction of the rim and the spoke corresponding to each target automobile wheel hub during each test process, calculate the cracking degree of the junction of the rim and the spoke corresponding to each target automobile wheel hub during each test process.

[0064] It should be noted that the specific process of calculating the cracking degree of the rim and spoke junction corresponding to each target automobile wheel hub in each test process is as follows: the number of cracks occurring at the rim and spoke junction corresponding to each target automobile wheel hub in each test process is recorded as ,in, Indicates the number of each test. .

[0065] The maximum value of the crack lengths at the junction of the rim and the spoke corresponding to each target automobile hub during each test is extracted and recorded as .

[0066] Calculate the cracking degree of the rim and spoke junction corresponding to each target automobile wheel hub during each test process , ,in, and They represent the number of cracks and crack length of the set reference respectively.

[0067] F2. With the number of tests as the horizontal coordinate and the cracking degree as the vertical coordinate, a cracking degree deviation curve of the junction between the rim and the spoke corresponding to each target automobile hub is constructed, and the slope value is located from the curve as the cracking degree growth rate of the junction between the rim and the spoke corresponding to each target automobile hub, which is marked as .

[0068] F3. Calculate the bending fatigue index of each target automobile wheel hub , ,in, Indicates the cracking rate growth rate of the set reference.

[0069] The embodiment of the present invention calculates the cracking degree of the rim-spoke junction corresponding to each target automobile wheel hub in each test process, and analyzes the dynamic change of the cracking at the rim-spoke junction, thereby obtaining the bending fatigue index of each target automobile wheel hub, intuitively showing the fatigue condition of the automobile wheel hub, improving the driving safety of the vehicle, and at the same time helping to promote product improvement and innovation.

[0070] E3. Calculate the performance quality of each target automobile wheel hub , ,in, and They represent the weights of the impact resistance index and bending fatigue index corresponding to the performance quality qualification assessment, respectively. .

[0071] In a specific embodiment of the present invention, The setting value of is 0.5. The setting value is 0.5. When calculating the performance quality qualification of each target automobile wheel hub, the impact resistance index and the bending fatigue index are both crucial evaluation indicators. They each measure the stability and durability of the wheel hub under different stress conditions.

[0072] S4. Comprehensive manufacturing quality analysis: Analyze the comprehensive manufacturing quality coefficient of the target automobile wheel hub and compare it with the set value. If it is less than the set value, feedback is given.

[0073] In a specific embodiment of the present invention, the specific process of analyzing the comprehensive manufacturing quality coefficient of the target automobile wheel hub is as follows: G1. Calculating the manufacturing quality coefficient of each target automobile wheel hub , ,in, , and They represent the weights of the manufacturing quality assessment corresponding to the set dimensional qualification, structural quality qualification and performance quality qualification, respectively. .

[0074] In a specific embodiment of the present invention, The setting value of is 0.3. The setting value of is 0.35. The setting value of is 0.35. When calculating the manufacturing quality coefficient of each target automobile wheel hub, the size qualification, structural quality qualification and performance quality qualification are all indispensable evaluation indicators. They each measure different aspects of the wheel hub manufacturing process, and are interrelated and mutually influential. Wheel hubs with high structural quality qualification are less likely to be damaged when impacted by external forces, thereby ensuring the safety of vehicle driving. At the same time, wheels with excellent performance can improve the stability and driving experience of the vehicle.

[0075] G2. Compare the manufacturing quality coefficient of each target automobile wheel hub with the manufacturing quality coefficient of the set reference. If the manufacturing quality coefficient of a target automobile wheel hub is greater than or equal to the manufacturing quality coefficient of the set reference, the target automobile wheel hub is recorded as a qualified manufacturing wheel hub, and the number of qualified manufacturing wheel hubs is counted and recorded as .

[0076] G3, if , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as ,like , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as ,like , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as ,like , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as , thus obtaining the comprehensive manufacturing quality coefficient of the target automobile wheel hub ,in, The value of or or or , .

[0077] In a specific embodiment of the present invention, The value of is 1. The value of is 0.7, The value of is 0.3, The value of is 0.

[0078] The embodiment of the present invention analyzes the comprehensive manufacturing quality coefficient of the target automobile wheel hub by analyzing the size qualification, structural quality qualification and performance quality qualification of each target automobile wheel hub. The analysis dimensions are diversified, and the manufacturing quality of the automobile wheel hub is analyzed from multiple aspects and angles, thereby improving the coverage of the automobile wheel hub manufacturing quality analysis and thus improving the accuracy of the automobile wheel hub manufacturing quality analysis.

[0079] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for analyzing and evaluating automobile wheel hub manufacturing quality based on image processing technology, characterized in that: The steps include: S1. Dimensional conformity analysis: randomly select a number of automobile wheels from the target automobile wheel manufacturing plant and record them as target automobile wheels. Collect the tire ring diameter, tire ring width, center hole diameter and diameter of the circle where each bolt hole is located of each target automobile wheel, and analyze the dimensional conformity of each target automobile wheel; S2. Structural quality qualification analysis: collecting the surface image and internal image of each target automobile wheel hub, thereby obtaining the surface image information and internal image information of each target automobile wheel hub, and analyzing the structural quality qualification of each target automobile wheel hub; S3. Performance quality qualification analysis: perform performance quality test on each target automobile wheel hub, collect performance test information corresponding to each target automobile wheel hub, and analyze the performance quality qualification of each target automobile wheel hub; S4. Comprehensive manufacturing quality analysis: Analyze the comprehensive manufacturing quality coefficient of the target automobile wheel hub and compare it with the set value. If it is less than the set value, feedback is given; The specific process of analyzing the dimensional conformity of each target automobile wheel hub is as follows: A1. Calculate the overall size qualification of each target automobile wheel hub based on the tire ring diameter, tire ring width and center hole diameter of each target automobile wheel hub. ,in, Indicates the number of the target car wheel hub, ; The specific process of calculating the overall size qualification of each target automobile wheel hub is as follows: the tire ring diameter, tire ring width and center hole diameter of each target automobile wheel hub are recorded as , and ; The tire ring diameter, tire ring width and center hole diameter of the target automobile wheel hub are extracted from the database and recorded as , and ; Calculate the overall size qualification of each target automobile wheel hub , ,in, , and They represent the reference tire ring diameter deviation, tire ring width deviation and center hole diameter deviation respectively; A2. Calculate the local size conformity of each target automobile wheel hub based on the diameter of the circle where each bolt hole of each target automobile wheel hub is located. ; A3. Calculate the size qualification of each target automobile wheel hub , ,in, and They represent the weights of the overall dimension qualification and the local dimension qualification corresponding to the dimension qualification assessment. ; The specific process of calculating the local size qualification of each target automobile wheel hub is as follows: B1. The diameter of the circle where each bolt hole of each target automobile wheel hub is located is recorded as ,in, Indicates the number of the bolt hole. ; B2. Calculate the uniformity of bolt hole diameters of each target automobile wheel hub , ,in, Indicates The first target car wheel The diameter of the circle containing the bolt holes, Indicates the total diameter deviation from the set reference, represents a natural constant; B3. Subtract the diameter of the circle where each bolt hole of each target automobile wheel hub is located from the specified diameter of the circle where the bolt hole of each target automobile wheel hub is located stored in the database to obtain the diameter deviation of the circle where each bolt hole of each target automobile wheel hub is located, and extract the maximum value from it, which is recorded as ; B4. Calculate the bolt hole diameter error of each target automobile wheel hub , ,in, Indicates the diameter deviation of the set reference; B5. Calculate the local size conformity of each target automobile wheel hub , ,in, and They represent the weights of the local size qualification assessment corresponding to the set bolt hole diameter uniformity and bolt hole diameter error, respectively. ; The surface image information is the grayscale value of each grayscale area, and the internal image information includes the number of pores, the volume of each pore, the number of inclusions and the volume of each inclusion in each monitoring area; The specific process of analyzing the structural quality qualification of each target automobile wheel hub is as follows: C1. Extract the grayscale value of each grayscale area from the surface image information of each target automobile wheel hub, and calculate the surface coating uniformity of each target automobile wheel hub. ; The specific process of calculating the surface coating uniformity of each target automobile wheel hub is as follows: the grayscale value of each grayscale area of ​​each target automobile wheel hub is recorded as ,in, Indicates the number of the grayscale area, ; Calculate the surface coating uniformity of each target automobile wheel hub , ,in, Indicates The first target car wheel The gray value of the gray area, Indicates the gray value deviation of the set reference; C2. Extract the number of pores, the volume of each pore, the number of inclusions and the volume of each inclusion in each monitoring area from the internal image information of each target automobile wheel hub, and calculate the internal structure quality coefficient of each target automobile wheel hub. ; C3. Calculate the structural quality qualification of each target automobile wheel hub , ,in, and They represent the weights of the set surface coating uniformity and internal structure quality coefficient corresponding to the structural quality qualification assessment. ; The specific process of calculating the internal structure quality coefficient of each target automobile wheel hub is as follows: D1. Calculate the porosity of each target automobile wheel hub based on the number of pores and the volume of each pore in each monitoring area of ​​each target automobile wheel hub. ; D2. Based on the number of inclusions and the volume of each inclusion in each monitoring area of ​​each target automobile wheel hub, the impurity degree of each target automobile wheel hub is calculated in the same way as the porosity of each target automobile wheel hub. ; D3. Calculate the internal structure quality coefficient of each target automobile wheel hub , ,in, and They represent the weights of the internal structure quality assessment corresponding to the set porosity and impurity, respectively. ; The performance test information includes impact test information and bending fatigue test information, wherein the impact test information is the concave volume of each sub-area, and the bending fatigue test information is the number of cracks and the length of each crack that appear at the junction of the rim and the spoke during the test; The specific process of analyzing the performance quality qualification of each target automobile wheel hub is as follows: E1. Extract the concave volume of each sub-area from the impact resistance test information corresponding to each target automobile wheel hub, and calculate the impact resistance performance index of each target automobile wheel hub ; The specific process of calculating the impact resistance index of each target automobile wheel hub is as follows: the number of sub-regions with a concave volume of 0 corresponding to each target automobile wheel hub is counted, and recorded as the number of normal sub-regions ; The sub-regions whose concave volumes corresponding to the target automobile wheels are not 0 are recorded as abnormal sub-regions, and the maximum value is extracted from the concave volumes of the abnormal sub-regions corresponding to the target automobile wheels, which is recorded as ; Calculate the impact resistance index of each target automobile wheel hub , ,in, and They represent the number of normal sub-regions and the concave volume of the set reference respectively; E2. Extract the number of cracks and the length of each crack at the junction of the rim and the spoke during each test from the bending fatigue test information corresponding to each target automobile wheel hub, and calculate the bending fatigue index of each target automobile wheel hub. ; E3. Calculate the performance quality of each target automobile wheel hub , ,in, and They represent the weights of the impact resistance index and bending fatigue index corresponding to the performance quality qualification assessment, respectively. ; The specific process of calculating the bending fatigue index of each target automobile wheel hub is as follows: F1. Calculate the cracking degree of the rim-spoke junction corresponding to each target automobile wheel hub during each test process based on the number of cracks and the length of each crack that appear at the rim-spoke junction corresponding to each target automobile wheel hub during each test process; F2. With the number of tests as the horizontal coordinate and the cracking degree as the vertical coordinate, a cracking degree deviation curve of the junction between the rim and the spoke corresponding to each target automobile hub is constructed, and the slope value is located from the curve as the cracking degree growth rate of the junction between the rim and the spoke corresponding to each target automobile hub, which is marked as ; F3. Calculate the bending fatigue index of each target automobile wheel hub , ,in, It indicates the cracking rate growth rate of the set reference; The specific process of analyzing the comprehensive manufacturing quality coefficient of the target automobile wheel hub is as follows: G1. Calculate the manufacturing quality coefficient of each target automobile wheel hub , ,in, , and They represent the weights of the manufacturing quality assessment corresponding to the set dimensional qualification, structural quality qualification and performance quality qualification, respectively. ; G2. Compare the manufacturing quality coefficient of each target automobile wheel hub with the manufacturing quality coefficient of the set reference. If the manufacturing quality coefficient of a target automobile wheel hub is greater than or equal to the manufacturing quality coefficient of the set reference, the target automobile wheel hub is recorded as a qualified manufacturing wheel hub, and the number of qualified manufacturing wheel hubs is counted and recorded as ; G3, if , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as ,like , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as ,like , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as ,like , then the comprehensive manufacturing quality coefficient of the target automobile wheel hub is recorded as , thus obtaining the comprehensive manufacturing quality coefficient of the target automobile wheel hub ,in, The value of or or or , .

Citation Information

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