Compensation coating method and system based on the thickness of the coating of an automobile exterior lighting lamp

Abstract

This invention discloses a coating compensation method and system for automotive exterior lighting lamps, relating to the field of coating thickness compensation. It addresses the problem of ineffective compensation for the coating thickness of automotive exterior lighting lamps. The method includes: analyzing the thickness uniformity of the test component surface based on the coating thickness at different locations; analyzing the coating thickness at the compensation test point and the normal coating point based on the real-time thickness uniformity value of the actual component surface at different time points; analyzing the coating thickness at different compensation test points; compensating the coating spraying rate based on the real-time compensation thickness and the amount of coating over-thickness, and predicting the coating thickness at different locations after compensation; and determining whether the coating thickness uniformity of the actual component surface after compensation meets the requirements based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness. This invention achieves effective compensation for the coating thickness of automotive exterior lighting lamps.

Description

Technical Field

[0001] This invention belongs to the field of coating thickness compensation technology, specifically a coating method and system for compensating the coating thickness of automotive exterior lighting lamps. Background Technology

[0002] The coating on automotive exterior lights is a key technology for protecting the performance and lifespan of the lights. It is mainly divided into two categories: optical functional coatings and protective coatings. Through special materials and processes, it achieves core functions such as improving lighting effect, anti-aging, and anti-fogging. Among them, optical functional coatings include halogen lamp front coatings, reflector coatings, and light transmittance optimization coatings; protective coatings include UV-cured polyacrylate coatings, anti-fogging coatings, and weather-resistant protective coatings. In the prior art, compensation for the coating thickness of automotive exterior lights is usually performed after the coating is applied. However, since coating thickness error has a continuous and cumulative effect, if there is an error in the uniformity of coating thickness during the application process, and the error is not compensated in time, the error will continue to increase as the coating application process continues. The prior art cannot effectively compensate for the coating thickness of automotive exterior lights. Therefore, this invention proposes a compensation coating method and system based on the coating thickness of automotive exterior lighting lamps. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a compensating coating method and system based on the coating thickness of automotive exterior lighting lamps.

[0004] The technical problem to be solved by this invention is: How to effectively compensate for the coating thickness of automotive exterior lights.

[0005] The objective of this invention can be achieved through the following technical solutions: The first aspect is a coating compensation method based on the thickness of automotive exterior lighting coatings, the method comprising the following steps: Step S1: Analyze the thickness uniformity of the test component surface based on the coating thickness at different locations, and obtain the normal coating points and the detection points to be compensated on the test component surface. Step S2: Based on the real-time uniform thickness value of the actual component surface at different time points, analyze the coating thickness at the compensation detection point and the normal coating point to obtain the first compensation detection point and the second compensation detection point on the actual component surface. Step S3: Analyze the coating thickness at different compensation detection points to obtain the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points. Step S4: The spraying rate of the coating is compensated based on the real-time compensation thickness and the coating over-thickness, and the coating thickness at different positions after compensation is predicted to obtain the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness. Step S5: Based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness, determine whether the uniformity of the coating thickness on the actual component surface after compensation meets the requirements.

[0006] Furthermore, the analysis process in step S1 includes the following sub-steps: Step S101: First, a coating is deposited on the surface of multiple test components, and different positions on the surface of the test components are used as thickness detection points to obtain the actual coating thickness of different test components at different thickness detection points. Step S102: Sum the actual coating thicknesses at different thickness detection points on the surface of the same test component and take the average value to calculate the average actual coating thickness on the surface of the corresponding test component. At the same time, calculate the standard deviation of the actual thickness at all thickness detection points on the surface of the corresponding test component using the standard deviation formula. Step S103: Divide the actual thickness standard deviation by the average actual coating thickness to obtain the actual thickness uniformity value of the test component surface. Similarly, according to steps S102-S103, the actual thickness uniformity value of different test component surfaces is obtained.

[0007] Furthermore, the analysis process in step S1 also includes the following sub-steps: Step S104: Obtain the standard thickness uniformity value of the surface of the test component, and compare the actual thickness uniformity value of different test component surfaces with the standard thickness uniformity value; If the actual uniform thickness of all tested component surfaces is less than or equal to the standard uniform thickness, no operation will be performed. If the actual uniform thickness of any test component surface is greater than the standard uniform thickness, the corresponding test component will be recorded as a defective component. Step S105: Obtain the actual coating thickness at different thickness detection points on the surface of the defective part, and record the thickness detection points whose actual coating thickness is within the standard coating thickness range as normal coating points on the surface of the defective part, and record the thickness detection points whose actual coating thickness is not within the standard coating thickness range as detection points to be compensated on the surface of the defective part, and so on, to analyze and obtain the normal coating points and detection points to be compensated on the surface of different defective parts. Step S106: Select any defective part as the analysis object, and compare the position of the normal coating point on the surface of the current defective part with the position of the detection point to be compensated on the surface of different defective parts; If the position of the normal coating point on the surface of the current defective part is the same as the position of the detection point to be compensated on the surface of any defective part, then the normal coating point on the surface of the current defective part is recorded as the detection point to be compensated on the surface of the test part. If the location of the normal coating point on the surface of the defective part is different from the location of the detection points to be compensated on all defective parts, no operation will be performed.

[0008] Furthermore, the analysis process in step S2 includes the following sub-steps: Step S201: Deposit a coating on the surface of the actual component and collect the real-time coating thickness at different thickness detection points on the surface of the actual component at different time points. Step S202: Sum the real-time coating thicknesses at different thickness detection points on the surface of the actual component at any time node, and take the average value to obtain the average real-time coating thickness of the actual component surface at the corresponding time node. Then, calculate the real-time thickness standard deviation at all thickness detection points on the surface of the actual component at the corresponding time node using the standard deviation formula. Step S203: Divide the real-time thickness standard deviation by the average real-time coating thickness to obtain the real-time thickness uniformity of the actual component surface at different time points, and compare the real-time thickness uniformity of the actual component surface at different time points with the standard thickness uniformity. If the real-time uniform thickness of the actual component surface is less than or equal to the standard uniform thickness at all time points, no operation will be performed. If at any time point the real-time uniform thickness of the actual component surface is greater than the standard uniform thickness, then the corresponding time point is recorded as a compensation point. Step S204: Map the positions of the normal coating points and the detection points to be compensated on the surface of the test component to the surface of the actual component, obtain the positions of the normal coating points and the detection points to be compensated on the surface of the actual component, add up the real-time coating thicknesses at different normal coating points and take the average value, and calculate the average real-time coating thickness at the normal coating points on the surface of the actual component at the compensation node.

[0009] Furthermore, the analysis process in step S2 also includes the following sub-steps: Step S205: Calculate the real-time thickness standard deviation at the normal coating point on the actual component surface when the compensation node is reached using the standard deviation formula. Subtract the real-time thickness standard deviation from the average real-time coating thickness to obtain the first value. Add the real-time thickness standard deviation to the average real-time coating thickness to obtain the second value. Step S206: Using the first value as the left endpoint and the second value as the right endpoint, construct a reference thickness range at the normal coating point on the actual component surface when the compensation node is obtained. Step S207: Compare the real-time coating thickness at all detection points to be compensated with the reference thickness range during the compensation node. If the real-time coating thickness at all detection points to be compensated is within the reference thickness range at the compensation node, then monitoring will continue. If, during compensation, the real-time coating thickness at any detection point to be compensated does not fall within the reference thickness range, then the real-time coating thickness at the corresponding detection point to be compensated is compared with the endpoint value of the reference thickness range. This comparison yields the first compensation detection point and the second compensation detection point. The specific comparison process is as follows: When the real-time coating thickness at the detection point to be compensated is less than the left endpoint of the reference thickness range, the corresponding detection point to be compensated is recorded as the first compensation detection point. When the real-time coating thickness at the detection point to be compensated is greater than the right endpoint of the reference thickness range, the corresponding detection point to be compensated is recorded as the second compensation detection point.

[0010] Furthermore, the analysis process in step S3 includes the following sub-steps: Step S301: If all the detection points to be compensated on the surface of the actual component at the compensation node are the first compensation detection points, then any value within the reference thickness range is selected as the replacement coating thickness at the first compensation detection point. The real-time coating thickness at the normal coating point and the replacement coating thickness at the first compensation detection point are added together and the average value is taken to obtain the average replacement coating thickness. The standard deviation of the replacement thickness on the surface of the actual component is calculated using the standard deviation formula. The standard deviation of the replacement thickness is divided by the average replacement coating thickness to obtain the uniform value of the replacement thickness on the surface of the actual component at the compensation node. Similarly, different values ​​within the reference thickness range are selected as the replacement coating thickness at the first compensation detection point, and the uniform value of the different replacement thicknesses on the actual component surface at the compensation node is calculated. Step S302: Traverse and compare the different uniform replacement thickness values ​​of the actual component surface at the compensation node, obtain the minimum uniform replacement thickness value, and subtract the real-time coating thickness at the first compensation detection point from the replacement coating thickness corresponding to the minimum uniform replacement thickness value to obtain the real-time compensation thickness at different first compensation detection points.

[0011] Furthermore, the analysis process in step S3 also includes the following sub-steps: Step S303: If all the detection points to be compensated on the actual component surface at the compensation node are the second compensation detection points, then the real-time coating thickness at different second compensation detection points is compared with the standard coating thickness range. If the real-time coating thickness at any second compensation detection point is not within the standard coating thickness range, no operation will be performed. When the real-time coating thickness at all second compensation detection points is within the standard coating thickness range, proceed to step S304. Step S304: Obtain the real-time coating thickness at the normal coating point when the compensation node is reached, and sum the real-time coating thicknesses at different normal coating points and take the average value to obtain the average coating thickness at the normal coating point when the compensation node is reached. Step S305: Subtract the average coating thickness from the real-time coating thickness at the second compensation detection point to obtain the coating over-thickness at different second compensation detection points at the compensation node. Step S306: If the actual component surface has both a first compensation detection point and a second compensation detection point at the compensation node, the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points are calculated.

[0012] Furthermore, the prediction process in step S4 includes the following sub-steps: Step S401: Divide the real-time compensation thickness by a fixed time interval to calculate the coating spraying compensation rate at different first compensation detection points at the compensation node. Step S402: Divide the coating overthickness by a fixed time interval to calculate the coating spraying reduction rate at different second compensation detection points at the compensation node. Step S403: Add the average coating thickness to the real-time coating thickness at the normal coating point and calculate the first predicted coating thickness at different normal coating points at the next time node. Step S404: Divide the real-time coating thickness at the first compensation detection point by a fixed duration to obtain the first spraying rate at different first compensation detection points. Add the first spraying rate to the coating spraying compensation rate to obtain the first actual spraying rate at the first compensation detection point. Similarly, the real-time coating thickness at the second compensation detection point at the compensation node is divided by a fixed duration to obtain the second spraying rate at different second compensation detection points. The second actual spraying rate at the second compensation detection point is obtained by subtracting the coating spraying reduction rate from the second spraying rate. Step S405: Multiply the first actual spraying rate by a fixed time interval to calculate the second predicted coating thickness at the first compensation detection point at the next time node; multiply the second actual spraying rate by a fixed time interval to calculate the third predicted coating thickness at the second compensation detection point at the next time node.

[0013] Furthermore, the judgment process in step S5 includes the following sub-steps: Step S501: Based on the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness, calculate the real-time uniform thickness value of the actual component surface at the next time node, and compare the real-time uniform thickness value with the standard uniform thickness value. Step S502: If the real-time uniform thickness of the actual component surface is less than or equal to the standard uniform thickness at the next time node, no operation is performed. If the real-time uniform thickness of the actual component surface is greater than the standard uniform thickness at the next time point, repeat steps S2-S4 until the real-time average thickness is less than or equal to the standard uniform thickness.

[0014] Secondly, a compensation coating system based on the coating thickness of automotive exterior lighting lamps includes a data acquisition module, a point analysis module, a real-time analysis module, a data calculation module, an intelligent compensation module, and a compensation verification module. The data acquisition module is used to collect the actual coating thickness of different test components at different thickness detection points and the real-time coating thickness at different thickness detection points on the surface of the actual components at different time nodes, and sends the actual coating thickness to the point analysis module and the real-time coating thickness to the real-time analysis module; the point analysis module is used to analyze the thickness uniformity of the test component surface based on the actual coating thickness, analyze and obtain the normal coating points and the detection points to be compensated on the surface of the test component, and send the normal coating points and the detection points to be compensated to the real-time analysis module; The real-time analysis module is used to analyze the coating thickness at the compensation detection point and the normal coating point based on the real-time thickness uniformity value of the actual component surface at different time points, and to obtain the first compensation detection point and the second compensation detection point on the actual component surface. The first compensation detection point and the second compensation detection point are then sent to the data calculation module. The data calculation module is used to analyze the coating thickness at different compensation detection points, and to obtain the real-time compensation thickness at different first compensation detection points and the coating overthickness at different second compensation detection points. The real-time compensation thickness and the coating overthickness are then sent to the intelligent compensation module. The intelligent compensation module is used to compensate the coating spraying rate based on the real-time compensation thickness and the coating over-thickness, and to predict the coating thickness at different locations after compensation, obtaining a first predicted coating thickness, a second predicted coating thickness, and a third predicted coating thickness, and sending the different predicted coating thicknesses to the compensation verification module; the compensation verification module is used to determine whether the coating thickness uniformity of the actual component surface after compensation meets the requirements based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. This invention uses an automotive exterior lighting lamp as a test component. First, a coating is deposited on the test component, and the thickness uniformity of the test component surface is analyzed based on the coating thickness at different locations, thereby obtaining the normal coating points and the detection points to be compensated on the surface of the test component. 2. In this invention, an automotive exterior lighting lamp of the same specifications as the test component is used as the actual component. A coating is deposited on the actual component. The coating thickness at the point to be compensated and the normal coating point is analyzed based on the real-time thickness uniformity value of the actual component surface at different time points. The analysis yields the first compensation detection point and the second compensation detection point on the surface of the actual component. The coating thickness at different compensation detection points is analyzed to obtain the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points. 3. Finally, the present invention compensates the coating spraying rate based on the real-time compensation thickness and the coating over-thickness, and predicts the coating thickness at different positions after compensation to obtain the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness; at the same time, it judges whether the coating thickness uniformity of the actual component surface after compensation meets the requirements based on the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness, thereby achieving effective compensation for the coating thickness of the automotive exterior lighting surface. Attached Figure Description

[0016] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0017] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a flowchart illustrating the logic of the present invention. Figure 3 This is a flowchart of the logic of step S3 in this invention; Figure 4 This is an overall system block diagram of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1: Please refer to Figures 1-3As shown, the technical solution provided by this invention is: a compensation coating method based on the coating thickness of automotive exterior lighting lamps. This method uses an automotive exterior lighting lamp as a test component. First, a coating is deposited on the test component to obtain the compensation location on the surface of the test component during the coating deposition process. Then, an automotive exterior lighting lamp of the same specifications as the test component is used as the actual component, and a coating is deposited on the actual component. The uniformity of the coating thickness on the surface of the actual component is analyzed in real time. When the uniformity does not meet the requirements, the thickness at the compensation location on the surface of the actual component is analyzed to obtain the thickness deviation at different compensation locations. Simultaneously, the adjustment amount of the coating material spraying rate during the deposition process is calculated, and the uniformity of the coating thickness at the next time node is analyzed based on the adjustment amount to determine whether further compensation is needed. The method includes the following steps: Step S1: Analyze the thickness uniformity of the test component surface based on the coating thickness at different locations, and obtain the normal coating points and the detection points to be compensated on the test component surface. In this embodiment, the analysis process in step S1 includes the following sub-steps: Step S101: First, a coating is deposited on the surface of multiple test components, and different positions on the surface of the test components are used as thickness detection points to obtain the actual coating thickness of different test components at different thickness detection points. In this embodiment, the test component is an automotive exterior lighting lamp used for testing, and the actual coating thickness at different locations on the surface of the test component can be measured using a laser thickness gauge; Step S102: Sum the actual coating thicknesses at different thickness detection points on the surface of the same test component and take the average value to calculate the average actual coating thickness on the surface of the corresponding test component. At the same time, calculate the standard deviation of the actual thickness at all thickness detection points on the surface of the corresponding test component using the standard deviation formula. Step S103: Divide the actual thickness standard deviation by the average actual coating thickness to obtain the actual thickness uniformity value of the test component surface. Similarly, according to steps S102-S103, the actual thickness uniformity value of different test component surfaces is obtained. It should be explained that the smaller the actual thickness uniformity value, the more uniform the coating thickness on the surface of the test component. Here, dividing the standard deviation by the average value is essentially calculating the coefficient of variation. In this embodiment, the coefficient of variation is used to reflect the coating thickness uniformity value at different thickness detection points on the surface of the test component. Step S104: Obtain the standard thickness uniformity value of the surface of the test component, and compare the actual thickness uniformity value of different test component surfaces with the standard thickness uniformity value; If the actual uniform thickness of all tested component surfaces is less than or equal to the standard uniform thickness, no operation will be performed. If the actual uniform thickness of any test component surface is greater than the standard uniform thickness, the corresponding test component will be recorded as a defective component. In the specific implementation process, the standard thickness uniformity value can be obtained through the standard process requirements of automotive exterior lighting. For example, the standard thickness uniformity value is equal to two percent. Step S105: Obtain the actual coating thickness at different thickness detection points on the surface of the defective part, and record the thickness detection points whose actual coating thickness is within the standard coating thickness range as normal coating points on the surface of the defective part, and record the thickness detection points whose actual coating thickness is not within the standard coating thickness range as detection points to be compensated on the surface of the defective part, and so on, to analyze and obtain the normal coating points and detection points to be compensated on the surface of different defective parts. It should be noted that the standard coating thickness range is determined based on thickness uniformity, which can be obtained through the standard process requirements for automotive exterior lighting. Step S106: Select any defective part as the analysis object, and compare the position of the normal coating point on the surface of the current defective part with the position of the detection point to be compensated on the surface of different defective parts; If the position of the normal coating point on the surface of the current defective part is the same as the position of the detection point to be compensated on the surface of any defective part, then the normal coating point on the surface of the current defective part is recorded as the detection point to be compensated on the surface of the test part. If the location of the normal coating point on the surface of the defective part is different from the location of the detection point to be compensated on all defective parts, no operation will be performed. For example, there are two sets of defective parts A and B. The position of the normal coating point in defective part A is a, and the position of the detection point to be compensated is b. The position of the normal coating point in defective part B is c, and the position of the detection point to be compensated is a. Then, the position a in defective part A is recorded as the detection point to be compensated.

[0020] Step S2: Based on the real-time uniform thickness value of the actual component surface at different time points, analyze the coating thickness at the compensation detection point and the normal coating point to obtain the first compensation detection point and the second compensation detection point on the actual component surface. In this embodiment, the analysis process in step S2 includes the following sub-steps: Step S201: Deposit a coating on the surface of the actual component and collect the real-time coating thickness at different thickness detection points on the surface of the actual component at different time points. In this embodiment, the actual component is an automotive exterior lighting lamp with the same specifications as the test component, and the thickness detection points in the actual component are located at the same positions as the thickness detection points in the test component. Step S202: Sum the real-time coating thicknesses at different thickness detection points on the surface of the actual component at any time node, and take the average value to obtain the average real-time coating thickness of the actual component surface at the corresponding time node. Then, calculate the real-time thickness standard deviation at all thickness detection points on the surface of the actual component at the corresponding time node using the standard deviation formula. Step S203: Divide the real-time thickness standard deviation by the average real-time coating thickness to obtain the real-time thickness uniformity of the actual component surface at different time points, and compare the real-time thickness uniformity of the actual component surface at different time points with the standard thickness uniformity. If the real-time uniform thickness of the actual component surface is less than or equal to the standard uniform thickness at all time points, no operation will be performed. If at any time point the real-time uniform thickness of the actual component surface is greater than the standard uniform thickness, then the corresponding time point is recorded as a compensation point. Step S204: Map the positions of the normal coating points and the detection points to be compensated on the surface of the test component to the surface of the actual component to obtain the positions of the normal coating points and the detection points to be compensated on the surface of the actual component. Sum the real-time coating thicknesses at different normal coating points and take the average value to calculate the average real-time coating thickness at the normal coating points on the surface of the actual component at the compensation node. Step S205: Calculate the real-time thickness standard deviation at the normal coating point on the actual component surface when the compensation node is reached using the standard deviation formula. Subtract the real-time thickness standard deviation from the average real-time coating thickness to obtain the first value. Add the real-time thickness standard deviation to the average real-time coating thickness to obtain the second value. Step S206: Using the first value as the left endpoint and the second value as the right endpoint, construct a reference thickness range at the normal coating point on the actual component surface when the compensation node is obtained. Step S207: Compare the real-time coating thickness at all detection points to be compensated with the reference thickness range during the compensation node. If the real-time coating thickness at all detection points to be compensated is within the reference thickness range at the compensation node, then monitoring will continue. If, during compensation, the real-time coating thickness at any detection point to be compensated does not fall within the reference thickness range, then the real-time coating thickness at the corresponding detection point to be compensated is compared with the endpoint value of the reference thickness range. This comparison yields the first compensation detection point and the second compensation detection point. The specific comparison process is as follows: When the real-time coating thickness at the detection point to be compensated is less than the left endpoint of the reference thickness range, the corresponding detection point to be compensated is recorded as the first compensation detection point. When the real-time coating thickness at the detection point to be compensated is greater than the right endpoint of the reference thickness range, the corresponding detection point to be compensated is recorded as the second compensation detection point.

[0021] Step S3: Analyze the coating thickness at different compensation detection points to obtain the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points. In this embodiment, the analysis process in step S3 includes the following sub-steps: Step S301: If all the detection points to be compensated on the surface of the actual component at the compensation node are the first compensation detection points, then any value within the reference thickness range is selected as the replacement coating thickness at the first compensation detection point. The real-time coating thickness at the normal coating point and the replacement coating thickness at the first compensation detection point are added together and the average value is taken to obtain the average replacement coating thickness. The standard deviation of the replacement thickness on the surface of the actual component is calculated using the standard deviation formula. The standard deviation of the replacement thickness is divided by the average replacement coating thickness to obtain the uniform value of the replacement thickness on the surface of the actual component at the compensation node. Similarly, different values ​​within the reference thickness range are selected as the replacement coating thickness at the first compensation detection point, and the uniform value of the different replacement thicknesses on the actual component surface at the compensation node is calculated. Step S302: Iterate through the different uniform replacement thickness values ​​of the actual component surface when comparing the compensation nodes, obtain the minimum uniform replacement thickness value, and subtract the real-time coating thickness at the first compensation detection point from the replacement coating thickness corresponding to the minimum uniform replacement thickness value to obtain the real-time compensation thickness at different first compensation detection points. Step S303: If all the detection points to be compensated on the actual component surface at the compensation node are the second compensation detection points, then the real-time coating thickness at different second compensation detection points is compared with the standard coating thickness range. If the real-time coating thickness at any second compensation detection point is not within the standard coating thickness range, no operation will be performed. When the real-time coating thickness at all second compensation detection points is within the standard coating thickness range, proceed to step S304. It should be explained that when the real-time coating thickness at the second compensation detection point is not within the standard coating thickness range, it means that the real-time coating thickness at the corresponding second compensation detection point has exceeded the allowable range, and the actual part at this time is a defective part. Step S304: Obtain the real-time coating thickness at the normal coating point when the compensation node is reached, and sum the real-time coating thicknesses at different normal coating points and take the average value to obtain the average coating thickness at the normal coating point when the compensation node is reached. Step S305: Subtract the average coating thickness from the real-time coating thickness at the second compensation detection point to obtain the coating over-thickness at different second compensation detection points at the compensation node. Step S306: If the actual component surface has both a first compensation detection point and a second compensation detection point at the compensation node, the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points are calculated.

[0022] Step S4: The spraying rate of the coating is compensated based on the real-time compensation thickness and the coating over-thickness, and the coating thickness at different positions after compensation is predicted to obtain the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness. In this embodiment, the prediction process in step S4 includes the following sub-steps: Step S401: Divide the real-time compensation thickness by a fixed time interval to calculate the coating spraying compensation rate at different first compensation detection points at the compensation node. In this embodiment, the fixed duration is the time interval between the compensation node and the first time node, and the fixed time interval is the time interval between adjacent time nodes; Step S402: Divide the coating overthickness by a fixed time interval to calculate the coating spraying reduction rate at different second compensation detection points at the compensation node. Step S403: Add the average coating thickness to the real-time coating thickness at the normal coating point and calculate the first predicted coating thickness at different normal coating points at the next time node. Step S404: Divide the real-time coating thickness at the first compensation detection point by a fixed duration to obtain the first spraying rate at different first compensation detection points. Add the first spraying rate to the coating spraying compensation rate to obtain the first actual spraying rate at the first compensation detection point. Similarly, the real-time coating thickness at the second compensation detection point at the compensation node is divided by a fixed duration to obtain the second spraying rate at different second compensation detection points. The second actual spraying rate at the second compensation detection point is obtained by subtracting the coating spraying reduction rate from the second spraying rate. In the specific implementation process, the spraying rate at the corresponding position on the actual component surface is adjusted according to the first actual spraying rate and the second actual spraying rate; Step S405: Multiply the first actual spraying rate by a fixed time interval to calculate the second predicted coating thickness at the first compensation detection point at the next time node; multiply the second actual spraying rate by a fixed time interval to calculate the third predicted coating thickness at the second compensation detection point at the next time node.

[0023] Step S5: Determine whether the uniformity of the coating thickness on the actual component surface after compensation meets the requirements based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness. In this embodiment, the judgment process in step S5 includes the following sub-steps: Step S501: Based on the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness, calculate the real-time uniform thickness value of the actual component surface at the next time node, and compare the real-time uniform thickness value with the standard uniform thickness value. Step S502: If the real-time uniform thickness of the actual component surface is less than or equal to the standard uniform thickness at the next time node, no operation is performed. If the real-time uniform thickness of the actual component surface is greater than the standard uniform thickness at the next time point, repeat steps S2-S4 until the real-time average thickness is less than or equal to the standard uniform thickness.

[0024] Example 2: Please refer to Figure 4 As shown, based on another concept of the same invention, a compensation coating system based on the coating thickness of automotive exterior lighting lamps is proposed, including a data acquisition module, a point analysis module, a real-time analysis module, a data calculation module, an intelligent compensation module, and a compensation verification module. The data acquisition module is used to collect the actual coating thickness of different test components at different thickness detection points and the real-time coating thickness at different thickness detection points on the surface of the actual components at different time nodes, and sends the actual coating thickness to the point analysis module and the real-time coating thickness to the real-time analysis module; the point analysis module is used to analyze the thickness uniformity of the test component surface based on the actual coating thickness, analyze and obtain the normal coating points and the detection points to be compensated on the surface of the test component, and send the normal coating points and the detection points to be compensated to the real-time analysis module; The real-time analysis module is used to analyze the coating thickness at the compensation detection point and the normal coating point based on the real-time thickness uniformity value of the actual component surface at different time points, and to obtain the first compensation detection point and the second compensation detection point on the actual component surface. The first compensation detection point and the second compensation detection point are then sent to the data calculation module. The data calculation module is used to analyze the coating thickness at different compensation detection points, and to obtain the real-time compensation thickness at different first compensation detection points and the coating overthickness at different second compensation detection points. The real-time compensation thickness and the coating overthickness are then sent to the intelligent compensation module. The intelligent compensation module is used to compensate the coating spraying rate based on the real-time compensation thickness and the coating over-thickness, and to predict the coating thickness at different locations after compensation, obtaining a first predicted coating thickness, a second predicted coating thickness, and a third predicted coating thickness, and sending the different predicted coating thicknesses to the compensation verification module; the compensation verification module is used to determine whether the coating thickness uniformity of the actual component surface after compensation meets the requirements based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness.

[0025] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A coating method for compensating the thickness of automotive exterior lighting coatings, characterized in that, The method includes the following steps: Step S1: Analyze the thickness uniformity of the test component surface based on the coating thickness at different locations, and obtain the normal coating points and the detection points to be compensated on the test component surface. Step S2: Based on the real-time uniform thickness value of the actual component surface at different time points, analyze the coating thickness at the compensation detection point and the normal coating point to obtain the first compensation detection point and the second compensation detection point on the actual component surface. Step S3: Analyze the coating thickness at different compensation detection points to obtain the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points. Step S4: The spraying rate of the coating is compensated based on the real-time compensation thickness and the coating over-thickness, and the coating thickness at different positions after compensation is predicted to obtain the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness. Step S5: Based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness, determine whether the uniformity of the coating thickness on the actual component surface after compensation meets the requirements.

2. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 1, characterized in that, The analysis process in step S1 includes the following sub-steps: Step S101: First, a coating is deposited on the surface of multiple test components, and different positions on the surface of the test components are used as thickness detection points to obtain the actual coating thickness of different test components at different thickness detection points. Step S102: Sum the actual coating thicknesses at different thickness detection points on the surface of the same test component and take the average value to calculate the average actual coating thickness on the surface of the corresponding test component. At the same time, calculate the standard deviation of the actual thickness at all thickness detection points on the surface of the corresponding test component using the standard deviation formula. Step S103: Divide the actual thickness standard deviation by the average actual coating thickness to obtain the actual thickness uniformity value of the test component surface. Similarly, according to steps S102-S103, the actual thickness uniformity value of different test component surfaces is obtained.

3. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 2, characterized in that, The analysis process in step S1 also includes the following sub-steps: Step S104: Obtain the standard thickness uniformity value of the surface of the test component, and compare the actual thickness uniformity value of different test component surfaces with the standard thickness uniformity value; If the actual uniform thickness of all tested component surfaces is less than or equal to the standard uniform thickness, no operation will be performed. If the actual uniform thickness of any test component surface is greater than the standard uniform thickness, the corresponding test component will be recorded as a defective component. Step S105: Obtain the actual coating thickness at different thickness detection points on the surface of the defective part, and record the thickness detection points whose actual coating thickness is within the standard coating thickness range as normal coating points on the surface of the defective part, and record the thickness detection points whose actual coating thickness is not within the standard coating thickness range as detection points to be compensated on the surface of the defective part, and so on, to analyze and obtain the normal coating points and detection points to be compensated on the surface of different defective parts. Step S106: Select any defective part as the analysis object, and compare the position of the normal coating point on the surface of the current defective part with the position of the detection point to be compensated on the surface of different defective parts; If the position of the normal coating point on the surface of the current defective part is the same as the position of the detection point to be compensated on the surface of any defective part, then the normal coating point on the surface of the current defective part is recorded as the detection point to be compensated on the surface of the test part. If the location of the normal coating point on the surface of the defective part is different from the location of the detection points to be compensated on all defective parts, no operation will be performed.

4. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 1, characterized in that, The analysis process in step S2 includes the following sub-steps: Step S201: Deposit a coating on the surface of the actual component and collect the real-time coating thickness at different thickness detection points on the surface of the actual component at different time points. Step S202: Sum the real-time coating thicknesses at different thickness detection points on the surface of the actual component at any time node, and take the average value to obtain the average real-time coating thickness of the actual component surface at the corresponding time node. Then, calculate the real-time thickness standard deviation at all thickness detection points on the surface of the actual component at the corresponding time node using the standard deviation formula. Step S203: Divide the real-time thickness standard deviation by the average real-time coating thickness to obtain the real-time thickness uniformity of the actual component surface at different time points, and compare the real-time thickness uniformity of the actual component surface at different time points with the standard thickness uniformity. If the real-time uniform thickness of the actual component surface is less than or equal to the standard uniform thickness at all time points, no operation will be performed. If at any time point the real-time uniform thickness of the actual component surface is greater than the standard uniform thickness, then the corresponding time point is recorded as a compensation point. Step S204: Map the positions of the normal coating points and the detection points to be compensated on the surface of the test component to the surface of the actual component, obtain the positions of the normal coating points and the detection points to be compensated on the surface of the actual component, add up the real-time coating thicknesses at different normal coating points and take the average value, and calculate the average real-time coating thickness at the normal coating points on the surface of the actual component at the compensation node.

5. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 4, characterized in that, The analysis process in step S2 also includes the following sub-steps: Step S205: Calculate the real-time thickness standard deviation at the normal coating point on the actual component surface when the compensation node is reached using the standard deviation formula. Subtract the real-time thickness standard deviation from the average real-time coating thickness to obtain the first value. Add the real-time thickness standard deviation to the average real-time coating thickness to obtain the second value. Step S206: Using the first value as the left endpoint and the second value as the right endpoint, construct a reference thickness range at the normal coating point on the actual component surface when the compensation node is obtained. Step S207: Compare the real-time coating thickness at all detection points to be compensated with the reference thickness range during the compensation node. If the real-time coating thickness at all detection points to be compensated is within the reference thickness range at the compensation node, then monitoring will continue. If, during compensation, the real-time coating thickness at any detection point to be compensated does not fall within the reference thickness range, then the real-time coating thickness at the corresponding detection point to be compensated is compared with the endpoint value of the reference thickness range. This comparison yields the first compensation detection point and the second compensation detection point. The specific comparison process is as follows: When the real-time coating thickness at the detection point to be compensated is less than the left endpoint of the reference thickness range, the corresponding detection point to be compensated is recorded as the first compensation detection point. When the real-time coating thickness at the detection point to be compensated is greater than the right endpoint of the reference thickness range, the corresponding detection point to be compensated is recorded as the second compensation detection point.

6. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 1, characterized in that, The analysis process in step S3 includes the following sub-steps: Step S301: If all the detection points to be compensated on the surface of the actual component at the compensation node are the first compensation detection points, then any value within the reference thickness range is selected as the replacement coating thickness at the first compensation detection point. The real-time coating thickness at the normal coating point and the replacement coating thickness at the first compensation detection point are added together and the average value is taken to obtain the average replacement coating thickness. The standard deviation of the replacement thickness on the surface of the actual component is calculated using the standard deviation formula. The standard deviation of the replacement thickness is divided by the average replacement coating thickness to obtain the uniform value of the replacement thickness on the surface of the actual component at the compensation node. Similarly, different values ​​within the reference thickness range are selected as the replacement coating thickness at the first compensation detection point, and the uniform value of the different replacement thicknesses on the actual component surface at the compensation node is calculated. Step S302: Traverse and compare the different uniform replacement thickness values ​​of the actual component surface at the compensation node, obtain the minimum uniform replacement thickness value, and subtract the real-time coating thickness at the first compensation detection point from the replacement coating thickness corresponding to the minimum uniform replacement thickness value to obtain the real-time compensation thickness at different first compensation detection points.

7. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 6, characterized in that, The analysis process in step S3 also includes the following sub-steps: Step S303: If all the detection points to be compensated on the actual component surface at the compensation node are the second compensation detection points, then the real-time coating thickness at different second compensation detection points is compared with the standard coating thickness range. If the real-time coating thickness at any second compensation detection point is not within the standard coating thickness range, no operation will be performed. When the real-time coating thickness at all second compensation detection points is within the standard coating thickness range, proceed to step S304. Step S304: Obtain the real-time coating thickness at the normal coating point when the compensation node is reached, and sum the real-time coating thicknesses at different normal coating points and take the average value to obtain the average coating thickness at the normal coating point when the compensation node is reached. Step S305: Subtract the average coating thickness from the real-time coating thickness at the second compensation detection point to obtain the coating over-thickness at different second compensation detection points at the compensation node. Step S306: If the actual component surface has both a first compensation detection point and a second compensation detection point at the compensation node, the real-time compensation thickness at different first compensation detection points and the coating over-thickness at different second compensation detection points are calculated.

8. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 1, characterized in that, The prediction process in step S4 includes the following sub-steps: Step S401: Divide the real-time compensation thickness by a fixed time interval to calculate the coating spraying compensation rate at different first compensation detection points at the compensation node. Step S402: Divide the coating overthickness by a fixed time interval to calculate the coating spraying reduction rate at different second compensation detection points at the compensation node. Step S403: Add the average coating thickness to the real-time coating thickness at the normal coating point and calculate the first predicted coating thickness at different normal coating points at the next time node. Step S404: Divide the real-time coating thickness at the first compensation detection point by a fixed duration to obtain the first spraying rate at different first compensation detection points. Add the first spraying rate to the coating spraying compensation rate to obtain the first actual spraying rate at the first compensation detection point. Similarly, the real-time coating thickness at the second compensation detection point at the compensation node is divided by a fixed duration to obtain the second spraying rate at different second compensation detection points. The second actual spraying rate at the second compensation detection point is obtained by subtracting the coating spraying reduction rate from the second spraying rate. Step S405: Multiply the first actual spraying rate by a fixed time interval to calculate the second predicted coating thickness at the first compensation detection point at the next time node. The third predicted coating thickness at the second compensation detection point at the next time node is calculated by multiplying the second actual spraying rate by a fixed time interval.

9. The compensating coating method based on the coating thickness of automotive exterior lighting lamps according to claim 1, characterized in that, The judgment process in step S5 includes the following sub-steps: Step S501: Based on the first predicted coating thickness, the second predicted coating thickness and the third predicted coating thickness, calculate the real-time uniform thickness value of the actual component surface at the next time node, and compare the real-time uniform thickness value with the standard uniform thickness value. Step S502: If the real-time uniform thickness of the actual component surface is less than or equal to the standard uniform thickness at the next time node, no operation is performed. If the real-time uniform thickness of the actual component surface is greater than the standard uniform thickness at the next time point, repeat steps S2-S4 until the real-time average thickness is less than or equal to the standard uniform thickness.

10. A coating system for compensating the thickness of automotive exterior lighting coatings, characterized in that, The compensation coating method based on the coating thickness of automotive exterior lighting lamps according to any one of claims 1-9 includes a data acquisition module, a point analysis module, a real-time analysis module, a data calculation module, an intelligent compensation module, and a compensation verification module; The data acquisition module is used to collect the actual coating thickness of different test components at different thickness detection points and the real-time coating thickness of different thickness detection points on the surface of the actual components at different time nodes, and send the actual coating thickness to the point analysis module and the real-time coating thickness to the real-time analysis module. The point analysis module is used to analyze the thickness uniformity of the test component surface based on the actual coating thickness, analyze and obtain the normal coating points and the detection points to be compensated on the surface of the test component, and send the normal coating points and the detection points to be compensated to the real-time analysis module. The real-time analysis module is used to analyze the coating thickness at the compensation detection point and the normal coating point based on the real-time thickness uniformity value of the actual component surface at different time nodes, and to obtain the first compensation detection point and the second compensation detection point on the actual component surface, and send the first compensation detection point and the second compensation detection point to the data calculation module. The data calculation module is used to analyze the coating thickness at different compensation detection points, and to obtain the real-time compensation thickness at different first compensation detection points and the coating overthickness at different second compensation detection points. The real-time compensation thickness and coating overthickness are then sent to the intelligent compensation module. The intelligent compensation module is used to compensate the coating spraying rate based on the real-time compensation thickness and the coating over-thickness, and to predict the coating thickness at different locations after compensation, obtaining a first predicted coating thickness, a second predicted coating thickness, and a third predicted coating thickness, and sending the different predicted coating thicknesses to the compensation verification module; the compensation verification module is used to determine whether the coating thickness uniformity of the actual component surface after compensation meets the requirements based on the first predicted coating thickness, the second predicted coating thickness, and the third predicted coating thickness.

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