A paint mixing method and a stencil making tool

Abstract

This invention relates to the field of paint mixing technology, and discloses a paint mixing method and a sample making tool. One paint mixing method includes the following steps: S1: Obtaining an original formula from a formula library based on big data analysis using vehicle data and external environmental influencing factors; S2: Performing a fine-tuning pre-processing based on the original formula and vehicle body color. This fine-tuning pre-processing involves quantitatively increasing or decreasing the amount of a certain colorant, or adding a new colorant, to generate N sub-formulas according to a sub-formula generation method; S3: Using the obtained N sub-formulas and / or the original formula for paint sample making. The fine-tuning pre-processing introduces external environmental influencing factors in advance, including vehicle data analysis of historical paint spraying to determine the possible increases or decreases in colorant usage, thereby generating multiple sub-formulas, increasing formula matching accuracy, improving formula precision and scientific formulation, and accelerating formula generation.

Description

Technical Field

[0001] This invention relates to the field of paint mixing technology, specifically a paint mixing method and a stencil making tool. Background Technology

[0002] like Figure 1 As shown, the traditional paint mixing process is as follows:

[0003] 1. Set a barcode that corresponds one-to-one with the paint can containing the color masterbatch, and obtain the original color code from the car manufacturer;

[0004] 2. Based on the color number, car model, body color and preset formula library, obtain the paint mixing formula, which contains the name and amount of color masterbatch required for paint mixing;

[0005] 3. Obtain the color masterbatch required for paint mixing according to the color masterbatch name in the paint mixing formula; quantify the color masterbatch according to the amount of color masterbatch in the paint mixing formula and the weighing device containing the paint mixing container, and stir thoroughly.

[0006] 4. After the paint is weighed and mixed, a sample is made to determine whether the paint color matches the car body color. If the colors are different, a fine-tuning operation without quantification is performed. The method also includes the following steps: using the actual amount of all color masterbatches as the second paint formula, determining whether the second paint formula is in the preset formula library. If the second paint formula is not in the preset formula library, the second paint formula is added to the preset formula library.

[0007] 5. There is no limit to the number of fine-tuning attempts or the time required; the name and amount of color masterbatch used for fine-tuning are determined by the technician's experience until the color matches the car body color, and finally the car parts are painted.

[0008] The main drawback of the above process flow is:

[0009] 1. Searching for formulas by car model, color, and original factory color code is a relatively simple data matching method that does not take into account the influence of the external environment.

[0010] 2. There are two sources for the formula library: original factory formulas and fine-tuned formulas. Original factory formulas mainly rely on manufacturers and are the paint mixing formulas used in automobile production; fine-tuned formulas come from the second paint mixing formulas generated by actual fine-tuning. One original formula may generate 0 or 1 fine-tuned formulas, and formula data collection is slow.

[0011] 3. After finding the formula through a matching query, the technician performs a series of processes including weighing, mixing, and creating a sample. The color of the sample is compared to the vehicle's color. If they match, the painting process proceeds directly. If there is a significant color difference, fine-tuning is required until the desired color is achieved. However, this fine-tuning process lacks scientific guidance and relies heavily on the technician's experience to determine which colorant to add and in what quantity. Multiple sample comparisons are necessary, making the process time-consuming and labor-intensive. This over-reliance on the technician's experience makes it difficult to guarantee the quality of the mixed paint. This application addresses these issues. Summary of the Invention

[0012] The purpose of this invention is to provide a paint mixing method and a sample making tool to increase the matching degree of the formula, improve the accuracy of the formula, make precise and scientific formulas, quickly expand the formula library, and shorten the paint mixing process.

[0013] The present invention is achieved through the following technical solution.

[0014] A paint mixing method according to the present invention includes the following steps:

[0015] S1: Based on vehicle data and external environmental influencing factors, the original formula is obtained from the formula library through big data analysis.

[0016] S2: Fine-tuning pre-processing is performed based on the original formula and the body color. The fine-tuning pre-processing is to quantitatively increase the amount of a certain color masterbatch, decrease the amount of a certain color masterbatch, or add a new color masterbatch to generate N sub-formulas according to the sub-formula generation method.

[0017] S3: Spray paint samples using the obtained N sub-formulas and / or the original formula;

[0018] S4: Compare the colors in the sample with the body color and select the formula that matches the body color;

[0019] Update the color data and sub-recipe data of the sample to the recipe library.

[0020] Furthermore, in step S1, the vehicle data includes vehicle model, original color code, body color, vehicle history repair records, and production year.

[0021] Furthermore, in step S1, the external environmental factors include regional climate and environmental factors and oxidation factors.

[0022] Furthermore, after updating the sub-formula data to the formula library, the background will compare the color matching degree of the collected vehicle body color data with the sub-formula color data, and sort the sub-formulas in turn. The higher the matching degree, the higher the evaluation level. The sub-formula evaluation level can be used as a basis for the generation direction of sub-formulas for the same vehicle model, and the corresponding sub-formulas will be generated according to the direction with the higher level.

[0023] Furthermore, the sub-formula generation method in step S2 includes the repair vehicle actual situation generation method. The repair vehicle actual situation generation method step is to analyze the color change trend based on the historical repair record data, repair interval and environmental impact factors of the repair vehicle, and then determine the color masterbatch that needs to be adjusted. The sub-formula is obtained by adjusting the amount of color masterbatch in the formula or adding a new color masterbatch.

[0024] Furthermore, the sub-formula generation method in step S2 also includes a method based on the purpose of formula library collection. The method based on the purpose of formula library collection involves directly adjusting the amount of color masterbatch in the original formula or adding a new color masterbatch to obtain the sub-formula.

[0025] Furthermore, the sub-recipe generation method in step S2 also includes a market vehicle color distribution generation method, wherein the market vehicle color distribution generation method step involves generating sub-recipes by fine-tuning the color recipes of existing vehicle models, and filling in the missing color recipes accordingly.

[0026] Furthermore, in step S3, the obtained formula is sprayed onto the same sample during the stencil-making process.

[0027] A stencil making tool includes a board body with a plurality of paint spraying areas and a contrast opening. The paint spraying areas are arranged around the contrast opening. The stencil making tool is used to perform the above-described paint mixing method.

[0028] A stencil-making tool includes a board body on which a plurality of comparison boards are detachably mounted, the comparison boards having a paint spraying area, and the stencil-making tool is used to perform the above-described paint mixing method.

[0029] The beneficial effects of this invention are as follows: Traditional fine-tuning after the fact relies on the technician's experience and trial-and-error method, adjusting the paint formula by adding / reducing a certain amount of a particular colorant or introducing a new colorant to meet the actual needs of the vehicle paint. Fine-tuning before the fact, however, incorporates external environmental factors and analyzes vehicle data, including historical paint spraying data, to determine the necessary increases or decreases in colorant usage. This generates multiple sub-formulas, increasing formula matching accuracy and precision. The formula generation speed is fast, allowing for rapid expansion of the formula library. Furthermore, the use of fine-tuning before the fact and prototyping tools reduces the fine-tuning prototyping cycle, shortening the overall paint mixing process. A single sample can be used for color comparison of multiple formulas, making this method more intuitive and efficient. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0032] Figure 1 This is the traditional paint mixing process;

[0033] Figure 2 This is the paint mixing process described in this application;

[0034] Figure 3 A schematic diagram of the structure of a first embodiment of the four-grid pattern-making tool;

[0035] Figure 4 A schematic diagram of the structure of a first embodiment of the nine-square grid pattern-making tool;

[0036] Figure 5 A schematic diagram of the structure of Example 2 of the four-grid pattern-making tool;

[0037] Figure 6 This is a schematic diagram of the structure of the nine-square grid pattern-making tool in embodiment two. Detailed Implementation

[0038] The following is combined with Figure 1-6 The present invention will be described in detail below.

[0039] A method for mixing paint, such as Figure 2 The basic process is as follows:

[0040] S1, based on vehicle data and external environmental influencing factors, obtains the optimal formula in the formulation system through data analysis.

[0041] Specifically, the vehicle data includes vehicle model, original factory color code, body color, vehicle history repair records, production year, etc. The vehicle history repair records include the locations of painted parts and historical paint mixing formulas, etc.

[0042] Specifically, the original factory color code refers to the paint formula used during automobile production.

[0043] Specifically, the external environmental influencing factors are the components that can affect automotive paint, including but not limited to: regional climatic environmental influencing factors such as sun exposure and acid rain, and oxidation influencing factors caused by external factors such as iron powder and resin.

[0044] The influencing factors are obtained by collecting environmental information about the vehicle's environment, such as exposure to sunlight, acid rain, iron dust, and tree sap. These influencing factors are optional.

[0045] Specifically, data analysis is conducted based on existing vehicle data and data on the impact of unstable external environments. First, the paint formulation corresponding to the vehicle's original color code and all historical paint formulations for the vehicle are retrieved. Colorimeter equipment is used to collect vehicle body color data. Then, based on the vehicle's production year, body color, local climate, oxidation influencing factors, and the color data corresponding to the formulation, a multi-dimensional matching analysis method is used to derive the optimal original formulation.

[0046] The multi-dimensional matching analysis method involves: screening the formula library based on vehicle model and historical paint mixing formulas; excluding formulas with excessive amounts of a particular colorant based on influencing factors causing color differences; and comparing the vehicle body color obtained from a colorimeter with the corresponding color of the formula. Formula matching is performed from three dimensions.

[0047] Specifically, the formula includes the name and amount of colorant required for the paint formulation.

[0048] Specifically, the formulation system is a real-time formulation library, including original manufacturer formulation data and fine-tuned formulation data.

[0049] S2 undergoes a pre-treatment process with minor adjustments based on the original formula and body color.

[0050] Specifically, the fine-tuning preprocessing involves quantitatively increasing, decreasing, or adding new color masterbatches based on the amount of color masterbatch in the formula and the actual vehicle body color requirements through detailed analysis and elimination methods to generate N sub-formulas. In this implementation case, N is the number of cells in a four- or nine-grid layout - 1 or the number of cells in a nine-grid layout - 2.

[0051] Traditional fine-tuning involves post-processing, relying on the technician's experience and trial-and-error method to achieve the desired paint formula by adding / reducing a certain amount of a particular colorant or introducing a new colorant. Pre-processing, on the other hand, incorporates external environmental factors and analyzes vehicle data, including historical paint spraying data, to determine the necessary increases or decreases in colorant usage, thereby generating multiple sub-formulas.

[0052] The sub-formula generation method includes: color trend formula: including Labch and particle value calculation, which can be recommended by database distribution or given by the system target definition method.

[0053] The addition of new color masterbatches is mainly considered when there is a difference in brightness between the color formula in the formula library and the actual body color extracted by the colorimeter. In such cases, it is necessary to add color masterbatches to brighten or darken the color to meet the actual needs.

[0054] Specifically, there are three methods for generating sub-recipes: generating based on the actual condition of the vehicle being repaired, generating based on the purpose of collecting recipes from the recipe library, and generating based on the color distribution of vehicle models in the market.

[0055] Specifically, the method for generating actual repair vehicle models involves adjusting the amount of color masterbatch in the formula or adding new color masterbatch based on data such as historical repair records of the repair vehicle models to obtain a sub-formula. Based on the vehicle repair interval and environmental influencing factors, the trend of color change is analyzed, and then the color masterbatch to be adjusted is determined.

[0056] Specifically, the method of generating a formula based on the formula library involves directly adjusting the amount of color masterbatch in the original formula or adding a new color masterbatch to obtain a sub-formula.

[0057] Specifically, the method of generating color formulas based on the color distribution of market vehicle models obtains sub-formulas according to the color distribution of market vehicle models. Since the color formulas of existing vehicles are limited, while the actual color space is infinite, the sub-formulas generated by fine-tuning the color formulas of existing vehicle models are used to fill in the missing color formulas. These sub-formulas may be applicable to vehicle models that have been used for a certain number of years or are newly manufactured and lack a formula.

[0058] Specifically, the formula includes an original formula and multiple sub-formulas corresponding to the original formula.

[0059] Specifically, the number of sub-formulas corresponds one-to-one with the number of areas to be painted by the stencil tool in step S3.

[0060] S3, Use a stencil tool to spray paint a stencil according to the obtained formula.

[0061] Specifically, the pattern-making tool design method uses a rectangular template, but it is not limited to rectangles; other shapes, such as circles, can also be designed. The template is divided into M equal independent areas, where M can be set to a four-square grid or a nine-square grid, or a different number of independent areas can be set according to actual needs. The pattern-making tool design method is as follows:

[0062] Example 1 of a pattern making tool: It includes a first plate body 4, on which a plurality of comparison plates 5 are detachably installed, and the comparison plates 5 have a painting area.

[0063] like Figure 3 As shown, the stencil tool is designed in a four-grid style, allowing for simultaneous stencil painting of four different paint formulas. These four formulas include one original formula and three sub-formulas. Each comparison stencil 5 is detachable for seamless comparison with the vehicle's body color.

[0064] like Figure 4As shown, the stencil tool can also be designed as a nine-grid system, allowing for simultaneous stencil painting of nine different formulas, including one original formula and eight sub-formulas. Each comparison stencil 5 can be disassembled for seamless comparison with the vehicle body color.

[0065] Example 2 of the board-making tool: It includes a second board body 1, the second board body 1 is provided with a plurality of spray painting areas 2, the second board body 1 is provided with a contrast opening 3, and the spray painting areas 2 are arranged around the contrast opening 3.

[0066] like Figure 5 As shown, the stencil tool is designed in a four-grid style, allowing for simultaneous stencil painting of four formulas, including one original formula and three sub-formulas. The central area features a contrast opening (3) created through a hollow design to allow for multi-color contrast with the actual car body.

[0067] like Figure 6 As shown, the stencil tool can also be designed as a nine-grid layout, allowing for simultaneous stencil painting of eight different formulas. Four of these formulas include one original formula and seven sub-formulas. The central area features a cutout design to facilitate multi-color contrast with the actual car body.

[0068] Specifically, the number of areas to be painted by the stencil tool corresponds one-to-one with the number of sub-formulas plus the number of original formulas in step S2.

[0069] Specifically, in Embodiments 1 and 2, each painting area of ​​the stencil tool is equipped with a closable and expandable ultra-thin masking baffle 6. When one independent area is being painted, the other independent areas are masked.

[0070] Specifically, the different painting areas of the stencil tool can be sprayed with paint samples prepared with different formulas.

[0071] Specifically, the spray painting process is carried out using commercially available spray guns or self-made multi-nozzle spray guns. If a multi-nozzle spray gun is used, different formulations are sprayed onto the painting tool using different nozzles.

[0072] Specifically, when the template spraying tool performs template spraying, it can spray paint other areas of the template without waiting for the already sprayed area to dry.

[0073] S4. The sample is attached to the car body, and the color in the sample is compared with the car body color to select the optimized formula that matches the car body color.

[0074] Specifically, regarding the comparison of the color in the sample with the vehicle body color, in this example, the comparison plate 5 in the pattern-making tool can be detached and seamlessly compared with the vehicle body color to select the optimized formula. Alternatively, a pattern-making tool with a cutout design can be used directly for comparison with the vehicle body color.

[0075] Specifically, the color data and formula data of each cell in the sample need to be updated in the formula in real time. The sub-formula data includes the color masterbatch name, actual dosage, and color data collected by the colorimeter.

[0076] Specifically, after the sub-formula is uploaded to the formula library, the painting management system backend compares the collected vehicle body color data with the sub-formula color data to determine the color matching degree, and sorts the sub-formulas in order. The higher the matching degree, the higher the evaluation level.

[0077] The sub-formula evaluation level can be used as a basis for the direction of sub-formula generation for the same vehicle model, and the corresponding sub-formula can be generated first according to the direction with the higher level.

[0078] S5 is used for painting and finishing work on automotive parts according to an optimized formula.

[0079] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand and implement the present invention. They should not be construed as limiting the scope of protection of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for mixing paint, characterized in that: Includes the following steps: S1: Based on vehicle data and external environmental influencing factors, the original formula is obtained from the formula library through big data analysis. S2: Fine-tuning pre-processing is performed based on the original formula and the body color. The fine-tuning pre-processing is to quantitatively increase the amount of a certain color masterbatch, decrease the amount of a certain color masterbatch, or add a new color masterbatch to generate N sub-formulas according to the sub-formula generation method. The sub-formula generation method in step S2 includes the repair vehicle actual situation generation method. The repair vehicle actual situation generation method step is to analyze the color change trend based on the historical repair record data, repair interval and environmental impact factors of the repair vehicle, and then determine the color masterbatch that needs to be adjusted. The sub-formula is obtained by adjusting the amount of color masterbatch in the formula or adding a new color masterbatch. S3: Spray paint samples using the obtained N sub-formulas and / or the original formula; S4: Compare the colors in the sample with the body color and select the formula that matches the body color; Update the color data and sub-recipe data of the sample to the recipe library; In step S1, the vehicle data includes vehicle model, original color code, body color, vehicle history repair records, and production year; In step S1, the external environmental influencing factors include regional climate environmental influencing factors and oxidation influencing factors.

2. The paint mixing method according to claim 1, characterized in that: After updating the sub-formula data to the formula library, the background will compare the color matching degree of the collected vehicle body color data with the sub-formula color data, and sort the sub-formulas in order. The higher the matching degree, the higher the evaluation level. The sub-formula evaluation level is used as the basis for the generation direction of sub-formulas for the same vehicle model, and the corresponding sub-formulas are generated first according to the direction with the higher level.

3. The paint mixing method according to claim 1, characterized in that: The sub-formula generation method in step S2 also includes a method based on the purpose of formula library collection. The method based on the purpose of formula library collection involves directly adjusting the amount of color masterbatch in the original formula or adding a new color masterbatch to obtain the sub-formula.

4. The paint mixing method according to claim 3, characterized in that: The sub-recipe generation method in step S2 also includes a method based on the color distribution of market car models. This method involves generating sub-recipes by fine-tuning the color recipes of existing car models, which then fill in the missing color recipes.

5. A paint mixing method according to any one of claims 1, 2, 3, and 4, characterized in that: In step S3, the obtained formula is sprayed onto the same sample during the stencil making process.

6. A cutting board tool, characterized in that: The device includes a board body with a plurality of paint spraying areas and a contrast opening. The paint spraying areas are arranged around the contrast opening. The board tool is used to perform the paint mixing method according to any one of claims 1 to 5.

7. A cutting board tool, characterized in that: The device includes a board body on which several comparison boards are detachably mounted, each comparison board having a paint spraying area, and the board-spraying tool is used to perform the paint mixing method according to any one of claims 1 to 5.

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