A method and system for detecting and analyzing the quality of automobile primer coating effect

Abstract

The invention relates to the field of automobile production technology, and in particular to a method and system for detecting and analyzing the quality of automobile primer coating effect, comprising the following steps: S1. surface pretreatment; S2. shielding protection; S3. spraying parameter detection; S4. primer quality analysis; S5. primer appearance analysis; S6. comprehensive evaluation. The system obtains a cleaning evaluation coefficient of an automobile through automobile cleaning parameters to determine whether shielding can be performed, determines whether spraying can be performed through the fit between a shielding material and a vehicle body, obtains a spraying evaluation coefficient of the automobile through spraying defect parameters of the automobile, obtains a quality evaluation coefficient of the automobile primer through quality parameters of the primer, obtains an appearance evaluation coefficient of the automobile primer through appearance parameters of the automobile primer, and then comprehensively analyzes to obtain a coating evaluation index of the automobile primer, and provides feedback thereon, thereby helping to ensure the accuracy and stability of the vehicle in coating, so that the final coating quality reaches a high standard.

Description

Technical Field

[0001] The invention relates to the field of automobile production technology, and in particular to a method and system for detecting and analyzing the quality of automobile primer coating effects. Background Art

[0002] With the rapid development of the modern automobile industry, the quality and appearance of automobiles are increasingly concerned by consumers. As the foundation of the entire coating system, the quality of the coating effect of automobile primer is crucial.

[0003] In the automobile manufacturing process, the primer coating must not only provide good adhesion and protective performance to ensure the durability of the car body under various environmental conditions, but also meet consumers' expectations for beautiful, uniform and smooth appearance.

[0004] In recent years, competition in the automobile market has become increasingly fierce, and consumers' requirements for automobile quality have continued to increase. Any flaws in the coating effect may affect consumers' purchasing decisions and satisfaction with the car brand. At the same time, strict industry standards and regulations have also prompted automobile manufacturers to continuously improve the quality control level of primer coating.

[0005] For example, the existing Chinese patent application number 202211049972.0 discloses a primer spraying automatic detection system and method. The scheme obtains different image information of the bumper product to be inspected under different exposure parameters, extracts grayscale value information therefrom, and outputs an enable signal or a non-enable signal to the conveying control module according to the grayscale value information. The conveying control module outputs a control instruction according to the enable signal to enable the conveying equipment to move the bumper product to be inspected to the spraying position, thereby completing the automatic detection of the primer spraying condition and the automatic control of the position of the bumper product.

[0006] However, the above patent has the following problems: First, the solution does not involve pretreatment before spraying, such as cleaning and shielding protection of the vehicle body before spraying. If there is dust, impurities, etc. on the surface of the vehicle body that are not cleaned up, it may affect the adhesion of the primer to the vehicle body, causing the primer to fall off easily. If the vehicle body is not covered well, the primer may be sprayed to parts that should not be sprayed, affecting the overall appearance and subsequent processes, and may even cause damage to other parts of the vehicle. At the same time, the lack of pretreatment may also reduce the standardization and rigor of the entire process.

[0007] Second, this solution mainly detects the grayscale value information in the image information for primer spraying, and does not involve other related parameters such as color information, primer thickness, uniformity, glossiness, etc., which may lead to incomplete and inaccurate detection results and inability to fully evaluate the quality of primer spraying. Summary of the invention

[0008] In order to overcome the shortcomings of the background technology, the embodiments of the present invention provide a method and system for detecting and analyzing the quality of automobile primer coating effects, which can effectively solve the problems involved in the above-mentioned background technology.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a method for detecting and analyzing the quality of automobile primer coating effects, and the specific steps of the detection and analysis method are as follows: S1. Surface pretreatment: used to detect automobile cleaning parameters, analyze and obtain the automobile cleaning evaluation coefficient, and then determine whether masking can be performed. The automobile cleaning parameters include the degree of cleanliness of the car body and the degree of surface polishing roughness.

[0010] S2. Masking and protection: Mask and protect the parts of the car that do not need to be painted, and test the fit between the masking material and the car body to determine whether spraying can be carried out.

[0011] S3. Spraying parameter detection: The spraying defect parameters of the car are detected and analyzed to obtain the spraying evaluation coefficient of the car. The spraying defect parameters include the severity of the spraying particles and the proportion of the sagging area.

[0012] S4. Primer quality analysis: The quality parameters of the primer after drying are tested and analyzed to obtain the quality evaluation coefficient of the automotive primer. The quality parameters include the degree of compliance of the primer hardness and the uniformity of the coating thickness.

[0013] S5. Primer appearance analysis: The appearance parameters of the automobile primer are tested and analyzed to obtain the appearance evaluation coefficient of the automobile primer. The appearance parameters include surface gloss and color uniformity.

[0014] S6. Comprehensive evaluation: According to the spraying evaluation coefficient of the car, the quality evaluation coefficient of the car primer and the appearance evaluation coefficient, the coating evaluation index of the car primer is obtained and feedback is given.

[0015] Preferably, the present invention provides a car primer coating effect quality detection and analysis system, including: a surface pretreatment module, used to detect car cleaning parameters, analyze and obtain the car cleaning evaluation coefficient, and then determine whether masking can be performed, the car cleaning parameters include the car body cleanliness and surface polishing roughness.

[0016] The masking and protection module is used to mask and protect the parts of the car that do not need to be painted, and to detect the fit between the masking material and the car body to determine whether spraying can be carried out.

[0017] The spraying parameter detection module is used to detect the spraying defect parameters of the car and analyze the spraying evaluation coefficient of the car. The spraying defect parameters include the severity of the spraying particles and the proportion of the sagging area.

[0018] The primer quality analysis module is used to detect the quality parameters of the primer after drying and analyze the quality evaluation coefficient of the automotive primer. The quality parameters include the degree of compliance of the primer hardness and the uniformity of the coating thickness.

[0019] The primer appearance analysis module is used to detect the appearance parameters of the automobile primer and analyze the appearance evaluation coefficient of the automobile primer. The appearance parameters include surface gloss and color uniformity.

[0020] The comprehensive evaluation module is used to analyze and obtain the coating evaluation index of the automobile primer according to the automobile spraying evaluation coefficient, the quality evaluation coefficient of the automobile primer, and the appearance evaluation coefficient, and to provide feedback thereto.

[0021] Management database for storing factory images of vehicles, original vehicle design drawings, and automotive paint design drawings.

[0022] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention obtains the cleaning evaluation coefficient of the car through the car cleaning parameters to determine whether masking can be performed, and determines whether spraying can be performed through the fit between the masking material and the car body, which can more accurately determine the feasibility of car spraying and improve the accuracy of the operation.

[0023] 2. The present invention obtains the spraying evaluation coefficient of the automobile through the spraying defect parameters of the automobile, which helps to timely discover problems existing in the spraying process to achieve better spraying effects and quality improvement.

[0024] 3. The present invention obtains the quality evaluation coefficient of the automobile primer through the quality parameters of the primer, which can help better monitor the stability and consistency of the primer quality and timely discover potential quality fluctuations or problems.

[0025] Fourth, the present invention obtains the appearance evaluation coefficient of the automobile primer through the appearance parameters of the automobile primer, which can clearly reflect the quality of the primer appearance, help to timely discover appearance problems and make adjustments during the production process, and ensure that the appearance quality of the primer meets the requirements.

[0026] 5. The present invention obtains the coating evaluation index of the automobile primer according to the automobile spraying evaluation coefficient, the quality evaluation coefficient of the automobile primer, and the appearance evaluation coefficient, and provides feedback thereon to help ensure the accuracy and stability of the vehicle coating, so that the final coating quality reaches a higher standard. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] 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.

[0028] Figure 1 The present invention is a flow chart of a method for detecting and analyzing the quality of automobile primer coating effects.

[0029] Figure 2 for Figure 1 Schematic diagram of the method flow chart of step S2 in FIG.

[0030] Figure 3 This is a module connection diagram of a car primer coating effect quality detection and analysis system. DETAILED DESCRIPTION

[0031] 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.

[0032] See also Figure 1 As shown, the specific steps of a method for detecting and analyzing the quality of automobile primer coating effect are as follows: S1. Surface pretreatment: used to detect automobile cleaning parameters, analyze and obtain the automobile cleaning evaluation coefficient, and then determine whether masking can be performed. The automobile cleaning parameters include the cleanliness of the car body and the roughness of the surface grinding.

[0033] The specific analysis method of the automobile cleaning parameters is as follows: the first step is to extract the factory image of the vehicle from the management database, and at the same time obtain the body image of the vehicle, respectively perform grayscale processing on the factory image of the vehicle and the body image of the vehicle, and compare and obtain the grayscale value deviation degree, which is recorded as , use a watering can to spray a layer of water evenly on the car body, and obtain the car body image again, recorded as the car body water film image, extract the area of ​​each water film from it, and then analyze the completeness of the water film coverage, recorded as , substituting it into the formula Get the car body cleanliness , The weight factors represent the set grayscale value deviation and the completeness of the water film coverage. By extracting and processing the factory image and the body image of the vehicle, the changes in the vehicle appearance can be compared more accurately, which helps to timely discover possible problems or abnormalities in the body. Grayscale processing can simplify the image analysis process and improve processing efficiency. Spraying water on the body and analyzing the completeness of the water film coverage can evaluate the flatness and cleanliness of the body from another perspective. The uniformity and integrity of the water film can reflect the smoothness of the body surface and possible depressions or bulges.

[0034] It should be noted that the specific analysis method of the grayscale value deviation degree is: read the factory image of the vehicle and the body image of the car, grayscale the factory image of the vehicle and the body image of the car respectively, and detect the grayscale value of each pixel thereof, which is recorded as the grayscale value of each pixel of the factory image of the vehicle , gray value of each pixel in the vehicle body image , Indicates The number of pixels, , through the formula Get the gray value deviation degree , Indicates the number of pixels.

[0035] It should be noted that the specific analysis method of the completeness of the water film coverage is: read the water film image of the vehicle body, extract the edge contour of each water film in the water film image of the vehicle body by edge detection technology, and extract the area of ​​each water film, which is recorded as , Indicates The number of the water film, , and extract the total area of ​​the car body in the car body image, recorded as , through the formula Get the completeness of water film coverage .

[0036] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. The grayscale value deviation can more intuitively reflect the degree of dirtiness and color uniformity of the vehicle body surface. If the grayscale value deviation is large, it means that the cleanliness of the vehicle body is poor, there are more stains or attachments, which has a greater impact on the overall appearance. The weight of the completeness of the water film coverage is relatively small. Although it can also reflect the cleanliness of the vehicle body to a certain extent, it may be affected by many factors, such as the flatness of the vehicle body surface. It is not as direct and critical as the grayscale value deviation in reflecting the cleanliness. Therefore, the weight corresponding to the grayscale value deviation is higher.

[0037] In the second step, the probe of the profiler is moved at a uniform speed along the entire surface of the car body for scanning to obtain the car body contour curve. At the same time, the original design drawings of the vehicle are extracted from the management database, and the car body contour curve reference plane is constructed according to the body reference plane marked in the original design drawings of the vehicle, which is recorded as the body reference plane. Several detection points are selected in the car body contour curve according to the set spacing, and the vertical height of each detection point relative to the body reference plane is obtained, which is recorded as the height of each detection point of the car body contour curve , Indicates The number of the test point, , the average height of each detection point of the car body contour curve is calculated to obtain the average height of the car body contour curve, which is recorded as , and extract the maximum height and minimum height of the car body contour curve, which are recorded as , through the formula Get the surface roughness of the car , They represent the preset contour curve height fluctuation degree and the weight factor of the maximum height difference, respectively. Represents the number of inspections; by scanning the contour curve of the vehicle body with a profilometer, one can intuitively understand the overall shape and undulations of the vehicle body surface; by selecting inspection points and obtaining heights, and then calculating data such as average values, one can quantify the characteristics of the vehicle body surface; by extracting peak heights and trough depths, one can further understand the local undulation details of the vehicle body surface; the surface roughness calculated by the formula can accurately evaluate the quality of the vehicle body surface after treatment such as polishing, which is of great significance for automobile manufacturing, maintenance, and quality inspection, and can ensure that the vehicle body surface meets the expected process standards and quality requirements, and is also convenient for timely discovery of possible problems and targeted treatment.

[0038] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. The height fluctuation of the contour curve can more comprehensively reflect the fluctuations of the entire car surface. It can reflect key information such as the area of ​​uneven polishing and the severity of fluctuations. It is more important for judging the overall condition of the surface roughness. Although the maximum height difference can also indicate a certain degree of roughness, it is relatively local and single, and cannot comprehensively reflect the state of the entire surface like the height fluctuation of the contour curve. Therefore, the corresponding weight of the height fluctuation of the contour curve is higher.

[0039] The specific analysis method of the surface pretreatment is: reading the cleanliness of the car body , Surface grinding roughness , substituting it into the formula Get the car's cleanliness rating factor , represents a natural constant, The weight factors respectively represent the preset vehicle body cleanliness and surface polishing roughness, and the cleanliness evaluation coefficient of the vehicle is compared with the preset cleanliness evaluation coefficient threshold. If the cleanliness evaluation coefficient of the vehicle is greater than or equal to the preset cleanliness evaluation coefficient threshold, it means that the cleanliness evaluation coefficient of the vehicle is qualified, and the next step of masking can be performed on the vehicle. If the cleanliness evaluation coefficient of the vehicle is less than the preset cleanliness evaluation coefficient threshold, it means that the cleanliness evaluation coefficient of the vehicle is unqualified, and feedback is given to it; this helps to achieve accurate evaluation and effective management of the cleaning status of the vehicle, and ensure that the vehicle has suitable conditions in related processes or operations.

[0040] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. The cleanliness of the car body is the first intuitive feeling of the car appearance. Whether a car is clean and tidy has a great influence on the overall impression. People often pay attention to whether there are obvious stains on the car body, etc. It is directly related to the visual beauty of the car. Although the roughness of the surface polishing will also affect the appearance texture of the car, it is relatively not as intuitive and prominent as the cleanliness of the car body. Therefore, the corresponding weight of the cleanliness of the car body is higher.

[0041] S2. Masking and protection: Mask and protect the parts of the car that do not need to be painted, and test the fit between the masking material and the car body to determine whether spraying can be carried out.

[0042] See also Figure 2 As shown, the specific analysis method of the shielding protection is: the first step is to read the automobile spray painting design drawing from the management database, and use edge detection technology to extract the edge contours of the parts of the automobile that do not need to be painted, record them as the standard edge contours of the automobile shielding parts, and shield the automobile according to the standard edge contours of the automobile shielding parts; extracting the edge contours of the parts of the automobile that do not need to be painted and masking them can ensure that these areas are accurately protected to avoid accidental painting.

[0043] The second step is to obtain an image of the car body after shielding, which is recorded as the car shielding image. The edge contour of the shielded part of the car is extracted from the car shielding image using edge detection technology, which is recorded as the edge contour of the shielded part of the car. The edge contour of the shielded part of the car is overlapped with the standard edge contour of the shielded part of the car to obtain the accuracy of the car's shielding. The edge detection technology is used to evaluate the accuracy of shielding, which can quantitatively judge the quality of the shielding work and promptly discover possible deviations.

[0044] The third step is to scan the shielded car body with a profilometer to obtain the car body contour curve after shielding, and analyze the car body contour curve after shielding according to the method of analyzing the roughness of the car's surface polishing to obtain the degree of shielding wrinkles of the car.

[0045] The fourth step is to analyze the fit between the masking material and the car body based on the masking accuracy and masking wrinkle degree of the car, and compare it with the preset fit threshold. If the fit between the masking material and the car body is greater than or equal to the preset fit threshold, it means that the fit between the masking material and the car body is qualified and can be sprayed. Otherwise, it means that the fit between the masking material and the car body is unqualified, and feedback is given. The fit between the masking material and the car body can be scientifically determined to provide a reliable basis for subsequent spraying work. If the fit is qualified, spraying is carried out to ensure the smooth progress and quality of the spraying work. If it is unqualified, timely feedback is given for adjustment and improvement to improve the accuracy and quality of the overall work.

[0046] S3. Spraying parameter detection: The spraying defect parameters of the car are detected and analyzed to obtain the spraying evaluation coefficient of the car. The spraying defect parameters include the severity of the spraying particles and the proportion of the sagging area.

[0047] The specific analysis method of the automobile spraying evaluation coefficient is as follows: the first step is to obtain an image of the automobile body after spraying, which is recorded as the body spraying image, and the edge contour of each particle is extracted from the body spraying image by edge detection technology, and the diameter of each particle is measured, and it is divided according to the set particle size ranges, and the number of particles in each particle size range is counted, which is recorded as , Indicates The number of the particle size range, , through the formula Get the proportion of particles in each particle size range , and then through the formula Get the severity of the particles in the car spray , Indicates The weight factor of the proportion of particles in a particle size range is calculated, and the edge contour counting is used to extract the edge contour of each raised area in the body spraying image, and its area is recorded as the area of ​​each sagging area of ​​the car body. The area of ​​the car body sagging area is obtained by accumulating the area of ​​each sagging area of ​​the car body, which is recorded as , extract the total area of ​​the body spraying image, recorded as , substituting it into the formula Get the proportion of automobile spray sagging area It helps to find problems in the spraying process in time so that targeted measures can be taken to improve and optimize the overall quality and appearance of automobile spraying.

[0048] The second step is to determine the severity of the car spray particles. , Proportion of sagging area Substitute into the formula Get the spray evaluation coefficient of the car , They respectively represent the preset weight factors of the severity of automobile spray particles and the proportion of sagging area; they provide a quantitative and relatively comprehensive indicator for evaluating the quality of automobile spraying, which helps to judge the pros and cons of the spraying effect more scientifically, thereby providing a basis for further improving the spraying process or adjusting related parameters.

[0049] It should be noted that, in a specific embodiment, It can be set to 0.4. It can be set to 0.6. Sagging is a relatively obvious defect that seriously affects the appearance quality of automobile spraying. It will cause very prominent problems such as unevenness and distortion on the coating surface, which has a great negative impact on the aesthetics and integrity of the automobile appearance. It is easy to be detected and paid attention to. Although the severity of spraying particles will also affect the spraying quality, it may not have such a strong visual impact compared to sagging. Unless the particle problem is very serious, its impact on the overall spraying evaluation is relatively small. Therefore, the weight corresponding to the sagging area ratio is higher.

[0050] S4. Primer quality analysis: The quality parameters of the primer after drying are tested and analyzed to obtain the quality evaluation coefficient of the automotive primer. The quality parameters include the degree of compliance of the primer hardness and the uniformity of the coating thickness.

[0051] The specific analysis method of the quality evaluation coefficient of the automobile primer is as follows: the first step is to simulate the spraying of the automobile body on a specific test plate, which is recorded as a simulated coating, obtain an image of the simulated coating and detect the gray value of each pixel point, and obtain the gray value of the simulated coating by averaging it, which is recorded as a standard gray value. , respectively use hard objects of set hardness to scratch the simulated coating surface with a fixed force for a set time, respectively acquire images of the simulated coating surface after being scratched by hard objects of different hardness, obtain the coating images under scratching of different hardness, grayscale the coating images under scratching of different hardness and respectively detect the grayscale value of each grayscale pixel point, recorded as , Indicates The hardness number, , Indicates The number of grayscale pixels, , through the formula Get the scratch degree of primer at each hardness , Represents the number of grayscale pixels, from which the maximum hardness that the primer can withstand is obtained, recorded as , through the formula Get the hardness compliance of the car primer , Indicates the maximum hardness that the preset primer can withstand; it can intuitively show whether the actual primer hardness meets the requirements, which helps to improve the quality and performance of automotive primers.

[0052] It should be noted that the specific analysis method of the maximum hardness that the primer can withstand is: read the scratch degree of the primer at each hardness, sort the scratch degrees of the primer at each hardness in ascending order, and compare them with the preset scratch degree thresholds in turn, and record the hardness corresponding to the first primer with a scratch degree greater than or equal to the preset scratch degree threshold as the maximum hardness that the primer can withstand, recorded as .

[0053] In the second step, after the car body is sprayed, the probe of the profilometer is moved uniformly along the entire surface of the car body to scan again to obtain the spray profile curve of the car body. At the same time, the body reference plane is read to obtain the vertical height of each detection point relative to the body reference plane, which is recorded as the spray depth of each detection point on the car body. The average spraying depth of the automobile body is obtained by taking the average value of the spraying depth of each test point on the automobile body, which is recorded as , substituting it into the formula Get the coating thickness uniformity of automotive primer , Indicates the number of tests; it can fully understand the thickness of the car body coating in different parts, which is very helpful for ensuring the consistency of the car spraying quality and appearance.

[0054] The third step is to use the formula Get the quality evaluation coefficient of automobile primer , They respectively represent the weight factors of the preset hardness compliance and coating thickness uniformity of the automotive primer; they can comprehensively consider the impact of multiple important factors on the primer quality, making the evaluation of the primer quality more scientific and reasonable.

[0055] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. The compliance degree of primer hardness has a direct and critical impact on the durability and scratch resistance of the car. If the hardness does not meet the requirements, it may be easily damaged in subsequent use, affecting the long-term quality and protection of the car. Although the uniformity of coating thickness is also important, relatively speaking, it affects the smoothness of the appearance and other aspects more. The impact on the core protective performance of the primer is not as critical and direct as the hardness. Therefore, the weight corresponding to the compliance degree of the hardness of the car primer is higher.

[0056] S5. Primer appearance analysis: The appearance parameters of the automobile primer are tested and analyzed to obtain the appearance evaluation coefficient of the automobile primer. The appearance parameters include surface gloss and color uniformity.

[0057] The specific analysis method of the appearance evaluation coefficient of the automobile primer is as follows: the first step is to take a number of position points on the automobile primer at a set interval, record them as the surface points of the primer coating, and obtain the glossiness of each position point on the primer coating surface by placing the measuring probe of the gloss meter at each position point on the primer coating surface, and at the same time, the surface glossiness of the primer coating is obtained by averaging the glossiness of each position point on the primer coating surface, which is recorded as the surface glossiness of the automobile primer. It can fully reflect the gloss of the primer coating surface, intuitively reflect the smoothness and texture of the car primer surface, and help ensure that the quality and effect of the car primer construction meet the expected requirements.

[0058] The second step is to read the body spraying image and detect the chromaticity value of each pixel in the body spraying image, which is recorded as , Indicates The number of pixels, , the average chromaticity value of the body spray image is obtained by taking the average value , substituting it into the formula Get the color uniformity of automotive primer , Indicates the number of pixels; it can more accurately quantify the uniformity of color distribution and help better control the quality standards of automotive primer color.

[0059] The third step is to use the formula Get the appearance evaluation coefficient of automobile primer , They represent the weight factors of the surface glossiness and color uniformity of the preset automobile primer, Indicates the preset gloss reference value of automotive primer; helps to evaluate the appearance of automotive primer more comprehensively and objectively, which is of great significance for optimizing the process and ensuring product quality.

[0060] It should be noted that, in a specific embodiment, It can be set to 0.4. It can be set to 0.6. Color uniformity is a very intuitive and important factor in the overall appearance. Once the color is uneven, it will be very obvious, greatly affecting the beauty and coordination of the car's appearance. It is an aspect that people can notice at first glance. Although surface gloss will also affect the appearance texture, relatively speaking, its importance may not be as prominent as color uniformity. Therefore, the corresponding weight of color uniformity is higher.

[0061] S6. Comprehensive evaluation: According to the spraying evaluation coefficient of the car, the quality evaluation coefficient of the car primer and the appearance evaluation coefficient, the coating evaluation index of the car primer is obtained and feedback is given.

[0062] The specific analysis method of the coating evaluation index of the automobile primer is: respectively reading the spraying evaluation coefficient of the automobile , Quality evaluation coefficient of automobile primer , Appearance Evaluation Coefficient , substituting it into the formula Get the coating evaluation index of the car primer , They respectively represent the weight factors of the preset automobile spray evaluation coefficient, automobile primer quality evaluation coefficient, and appearance evaluation coefficient; they can evaluate the overall level of automobile primer coating in a more systematic and scientific manner, promote continuous optimization of the coating process, and thus enhance the quality level and competitiveness of the entire automobile industry.

[0063] It should be noted that, in a specific embodiment, It can be set to 0.4. It can be set to 0.4. It can be set to 0.2. The quality evaluation coefficient of automobile primer is directly related to the key aspects of the automobile, such as its protective performance and durability. It has an important impact on the long-term use and safety of the automobile and is a core factor. The spraying evaluation coefficient is also relatively important. It involves the effect and level of the entire spraying process, and has a great impact on the adhesion and uniformity of the primer, which will indirectly affect the quality and appearance. Therefore, the corresponding weights of the automobile's spraying evaluation coefficient and the automobile primer's quality evaluation coefficient are relatively high.

[0064] The specific analysis method of the comprehensive evaluation is: reading the coating evaluation index of the automobile primer, comparing it with the preset index ranges corresponding to each coating evaluation level, matching the coating evaluation level corresponding to the index range to which the coating evaluation index of the automobile primer belongs, recording it as the coating evaluation level of the automobile primer, and providing feedback thereon; it can very clearly determine at which level the coating quality of the automobile primer is, quickly and accurately classify and grade it, which is conducive to efficient management and evaluation of the primer coating conditions of a large number of automobiles, and adjusting the process according to the feedback to improve the quality.

[0065] See also Figure 3 As shown, in addition, the present invention provides a car primer coating effect quality detection and analysis system, which includes a surface pretreatment module, a shielding protection module, a spraying parameter detection module, a primer quality analysis module, a primer appearance analysis module, a comprehensive evaluation module, and a management database.

[0066] The management database is connected to the spray parameter detection module, the primer quality analysis module, the primer appearance analysis module, the comprehensive evaluation module, and the shielding protection module; the surface pretreatment module is connected to the shielding protection module; and the comprehensive evaluation module is connected to the spray parameter detection module, the primer quality analysis module, and the primer appearance analysis module.

[0067] The surface pretreatment module is used to detect the cleaning parameters of the car, analyze and obtain the cleaning evaluation coefficient of the car, and then determine whether masking can be performed. The car cleaning parameters include the cleanliness of the car body and the roughness of the surface polishing.

[0068] The masking and protection module is used to mask and protect the parts of the car that do not need to be painted, and to detect the fit between the masking material and the car body to determine whether spraying can be carried out.

[0069] The spraying parameter detection module is used to detect the spraying defect parameters of the car and analyze the spraying evaluation coefficient of the car. The spraying defect parameters include the severity of the spraying particles and the proportion of the sagging area.

[0070] The primer quality analysis module is used to detect the quality parameters of the primer after drying and analyze the quality evaluation coefficient of the automotive primer. The quality parameters include the degree of compliance of the primer hardness and the uniformity of the coating thickness.

[0071] The primer appearance analysis module is used to detect the appearance parameters of the automobile primer and analyze the appearance evaluation coefficient of the automobile primer. The appearance parameters include surface gloss and color uniformity.

[0072] The comprehensive evaluation module is used to analyze and obtain the coating evaluation index of the automobile primer according to the automobile spraying evaluation coefficient, the quality evaluation coefficient of the automobile primer, and the appearance evaluation coefficient, and to provide feedback thereto.

[0073] Management database for storing factory images of vehicles and car paint design drawings.

[0074] This system obtains the cleaning evaluation coefficient of the car through the car cleaning parameters to determine whether masking can be performed, determines whether spraying can be performed through the fit between the masking material and the car body, obtains the car spraying evaluation coefficient through the car spraying defect parameters, obtains the quality evaluation coefficient of the car primer through the quality parameters of the primer, and obtains the appearance evaluation coefficient of the car primer through the appearance parameters of the car primer. The system then obtains the coating evaluation index of the car primer through comprehensive analysis and provides feedback on it, which helps to ensure the accuracy and stability of the vehicle coating and ensures that the final coating quality meets high standards.

[0075] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A method for detecting and analyzing the quality of automobile primer coating effect, characterized in that: The steps include: S1. Surface pretreatment: used to detect the cleaning parameters of the car, analyze and obtain the cleaning evaluation coefficient of the car, and then determine whether masking can be performed. The cleaning parameters of the car include the cleanliness of the car body and the roughness of the surface polishing; The factory image of the vehicle is extracted from the management database, and the body image of the vehicle is obtained at the same time. The factory image of the vehicle and the body image of the vehicle are grayed out respectively, and the gray value deviation degree is obtained by comparison, which is recorded as , use a watering can to spray a layer of water evenly on the car body, and obtain the car body image again, recorded as the car body water film image, extract the area of ​​each water film from it, and then analyze the completeness of the water film coverage, recorded as , substituting it into the formula Get the car body cleanliness , They represent the weight factors of the set gray value deviation degree and the completeness of water film coverage respectively; The probe of the profiler is moved uniformly along the entire surface of the automobile body for scanning to obtain the automobile body contour curve. At the same time, the original design drawing of the vehicle is extracted from the management database. The automobile body contour curve reference plane is constructed according to the body reference plane marked in the original design drawing of the vehicle, which is recorded as the body reference plane. Several detection points are selected in the automobile body contour curve according to the set interval, and the vertical height of each detection point relative to the body reference plane is obtained, which is recorded as the height of each detection point of the automobile body contour curve , Indicates The number of the test point, , the average height of each detection point of the car body contour curve is calculated to obtain the average height of the car body contour curve, which is recorded as , and extract the maximum height and minimum height of the car body contour curve, which are recorded as , through the formula Get the surface roughness of the car , They represent the preset contour curve height fluctuation degree and the weight factor of the maximum height difference, respectively. Indicates the number of tests; Will and Substitute into the formula Get the car's cleanliness rating factor , represents a natural constant, The weight factors of the preset vehicle body cleanliness and surface polishing roughness are respectively represented, and the cleanliness evaluation coefficient of the vehicle is compared with the preset cleanliness evaluation coefficient threshold. If the cleanliness evaluation coefficient of the vehicle is greater than or equal to the preset cleanliness evaluation coefficient threshold, it means that the cleanliness evaluation coefficient of the vehicle is qualified, and the next step of shielding can be performed on the vehicle. Otherwise, it means that the cleanliness evaluation coefficient of the vehicle is unqualified, and feedback is given to it. S2. Masking and protection: Masking and protecting the parts of the car that do not need to be painted, and testing the fit between the masking material and the car body to determine whether spraying can be performed; S3. Spraying parameter detection: Detect the spraying defect parameters of the car and analyze them to obtain the spraying evaluation coefficient of the car. The spraying defect parameters include the severity of spraying particles and the proportion of sagging area; S4. Primer quality analysis: The quality parameters of the primer after drying are tested and the quality evaluation coefficient of the automotive primer is obtained by analysis. The quality parameters include the degree of primer hardness compliance and the uniformity of coating thickness; S5. Primer appearance analysis: Detect the appearance parameters of the car primer and analyze the appearance evaluation coefficient of the car primer. The appearance parameters include surface gloss and color uniformity. S6. Comprehensive evaluation: According to the spraying evaluation coefficient of the car, the quality evaluation coefficient of the car primer and the appearance evaluation coefficient, the coating evaluation index of the car primer is obtained and feedback is given.

2. The method for detecting and analyzing the quality of automobile primer coating effect according to claim 1, characterized in that: The specific analysis method of the shielding protection is: The first step is to read the car spraying design drawing from the management database, and use edge detection technology to extract the edge contour of the part of the car that does not need to be painted, record it as the standard edge contour of the car shielding part, and shield the car according to the standard edge contour of the car shielding part; The second step is to obtain an image of the car body after shielding, which is recorded as the car shielding image. The edge contour of the car shielding part is extracted from the car shielding image by using edge detection technology, which is recorded as the car shielding part edge contour. The car shielding part edge contour is overlapped with the car shielding part standard edge contour to obtain the car shielding accuracy. The third step is to scan the car body after shielding with a profilometer to obtain the car body contour curve after shielding, and analyze the car body contour curve after shielding according to the method of analyzing the roughness of the car surface polishing to obtain the degree of shielding wrinkles of the car; The fourth step is to analyze the fit between the masking material and the car body based on the masking accuracy and masking wrinkle degree of the car, and compare it with the preset fit threshold. If the fit between the masking material and the car body is greater than or equal to the preset fit threshold, it means that the fit between the masking material and the car body is qualified and spraying can be carried out. Otherwise, it means that the fit between the masking material and the car body is unqualified and feedback is given.

3. The method for detecting and analyzing the quality of automobile primer coating effect according to claim 2, characterized in that: The specific analysis method of the spraying evaluation coefficient of the automobile is: In the first step, the image of the sprayed car body is acquired, which is recorded as the body spraying image. The edge contour of each particle is extracted from the body spraying image using edge detection technology, and the diameter of each particle is measured. The particle is divided into each set particle size range, and the number of particles in each particle size range is counted, which is recorded as , Indicates The number of the particle size range, , through the formula Get the proportion of particles in each particle size range , and then through the formula Get the severity of the particles in the car spray , Indicates The weight factor of the proportion of particles in a particle size range is calculated, and the edge contour counting is used to extract the edge contour of each raised area in the body spraying image, and its area is recorded as the area of ​​each sagging area of ​​the car body. The area of ​​the car body sagging area is obtained by accumulating the area of ​​each sagging area of ​​the car body, which is recorded as , extract the total area of ​​the body spraying image, recorded as , substituting it into the formula Get the proportion of automobile spray sagging area ; The second step is to determine the severity of the car spray particles. , Proportion of sagging area Substitute into the formula Get the spray evaluation coefficient of the car , They respectively represent the weight factors of the preset severity of automobile spray particles and the proportion of sagging area.

4. The method for detecting and analyzing the quality of automobile primer coating effect according to claim 3 is characterized in that: The specific analysis method of the quality evaluation coefficient of the automotive primer is: The first step is to simulate the spraying of the car body on a specific test plate, which is recorded as simulated coating. The simulated coating is imaged and the gray value of each pixel is detected. The gray value of the simulated coating is obtained by taking the average value, which is recorded as the standard gray value. , respectively use hard objects of set hardness to scratch the simulated coating surface with a fixed force for a set time, respectively acquire images of the simulated coating surface after being scratched by hard objects of different hardness, obtain the coating images under scratching of different hardness, grayscale the coating images under scratching of different hardness and respectively detect the grayscale value of each grayscale pixel point, recorded as , Indicates The hardness number, , Indicates The number of grayscale pixels, , through the formula Get the scratch degree of primer at each hardness , Represents the number of grayscale pixels, from which the maximum hardness that the primer can withstand is obtained, recorded as , through the formula Get the hardness compliance of the car primer , Indicates the maximum hardness that the preset primer can withstand; In the second step, after the car body is sprayed, the probe of the profilometer is moved uniformly along the entire surface of the car body to scan again to obtain the spray profile curve of the car body. At the same time, the body reference plane is read to obtain the vertical height of each detection point relative to the body reference plane, which is recorded as the spray depth of each detection point on the car body. The average spraying depth of the automobile body is obtained by taking the average value of the spraying depth of each test point on the automobile body, which is recorded as , substituting it into the formula Get the coating thickness uniformity of automotive primer , Indicates the number of tests; The third step is to use the formula Get the quality evaluation coefficient of automobile primer , They respectively represent the weight factors of the hardness compliance and coating thickness uniformity of the preset automobile primer.

5. The method for detecting and analyzing the quality of automobile primer coating effect according to claim 4, characterized in that: The specific analysis method of the appearance evaluation coefficient of the automotive primer is: The first step is to take a number of positions on the car primer at a set interval, record them as the positions on the primer coating surface, and obtain the glossiness of each position on the primer coating surface by placing the measuring probe of the gloss meter at each position on the primer coating surface. At the same time, the average glossiness of each position on the primer coating surface is obtained by taking the average value, which is recorded as the surface glossiness of the car primer. ; The second step is to read the body spraying image and detect the chromaticity value of each pixel in the body spraying image, which is recorded as , Indicates The number of pixels, , the average chromaticity value of the body spray image is obtained by taking the average value , substituting it into the formula Get the color uniformity of automotive primer , Indicates the number of pixels; The third step is to use the formula Get the appearance evaluation coefficient of automobile primer , They represent the weight factors of the surface glossiness and color uniformity of the preset automobile primer, Indicates the preset gloss reference value of automotive primer.

6. The method for detecting and analyzing the quality of automobile primer coating effect according to claim 1, characterized in that: The specific analysis method of the coating evaluation index of the automotive primer is: Read the spraying evaluation coefficient of the car respectively , Quality evaluation coefficient of automobile primer , Appearance Evaluation Coefficient , substituting it into the formula Get the coating evaluation index of the car primer , They respectively represent the weight factors of the preset automobile spraying evaluation coefficient, automobile primer quality evaluation coefficient, and appearance evaluation coefficient.

7. The method for detecting and analyzing the quality of automobile primer coating effect according to claim 6, characterized in that: The specific analysis method of the comprehensive evaluation is as follows: The coating evaluation index of the automobile primer is read, and it is compared with the preset index ranges corresponding to each coating evaluation level, and the coating evaluation level corresponding to the index range to which the coating evaluation index of the automobile primer belongs is matched, recorded as the coating evaluation level of the automobile primer, and feedback is given.

8. A system for detecting and analyzing the quality of automobile primer coating effect, used to execute the steps of the analysis method according to claim 1, characterized in that: The system specifically includes the following modules: The surface pretreatment module is used to detect the cleaning parameters of the car, analyze and obtain the cleaning evaluation coefficient of the car, and then determine whether masking can be performed. The cleaning parameters of the car include the cleanliness of the car body and the roughness of the surface grinding; The shielding and protection module is used to shield and protect the parts of the car that do not need to be painted, and to detect the fit between the shielding material and the car body to determine whether spraying can be performed; The spraying parameter detection module is used to detect the spraying defect parameters of the car and analyze the spraying evaluation coefficient of the car. The spraying defect parameters include the severity of the spraying particles and the proportion of the sagging area. Primer quality analysis module, used to detect the quality parameters of the primer after drying, and analyze to obtain the quality evaluation coefficient of the automotive primer. The quality parameters include the degree of primer hardness compliance and the uniformity of coating thickness; The primer appearance analysis module is used to detect the appearance parameters of the automobile primer and analyze the appearance evaluation coefficient of the automobile primer. The appearance parameters include surface gloss and color uniformity. A comprehensive evaluation module is used to analyze and obtain the coating evaluation index of the automobile primer according to the automobile spraying evaluation coefficient, the quality evaluation coefficient of the automobile primer, and the appearance evaluation coefficient, and to provide feedback thereon; Management database for storing factory images of vehicles, original vehicle design drawings, and automotive paint design drawings.

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