Vehicle body spraying method and color difference control system

Abstract

The invention discloses a vehicle body spraying method and a color difference control system, and the method comprises the steps: obtaining corresponding vehicle body color data when vehicle body spraying is carried out based on spraying parameters, and carrying out color difference analysis based on the vehicle body color data, and obtaining color difference abnormal index data; obtaining a color difference evaluation parameter corresponding to the color difference abnormal index data in response to the fact that the color difference abnormal index data reaches a color difference abnormal triggering threshold value; and based on preset spraying adjustment strategy data, target spraying adjustment data matched with the chromatic aberration evaluation parameters and used for adjusting the spraying parameters are determined. According to the method, the color difference defect can be efficiently and accurately detected and adjusted in the vehicle body spraying process, and the problems that the correction process is complex, the cost is high and the effect is not ideal due to correction after color difference forming are solved.

Description

Technical Field

[0001] The present invention relates to the field of automobile manufacturing technology, and more particularly to a method for spraying a vehicle body. The present invention also relates to a color difference control system, a vehicle body spraying device, an electronic device, and a computer-readable storage medium. Background Art

[0002] In body painting, color difference is one of the most intuitive visual indicators after the body is painted. It directly determines the overall coordination and aesthetics of the vehicle's appearance and is used as one of the important indicators for evaluating the quality of body painting. For example, even a slight color difference may cause inconsistent color areas on the body surface, such as spots and color blocks, under the influence of light, which seriously affects the visual effect of the vehicle.

[0003] The factors that cause color difference run through all aspects of car body spraying, from the selection, color matching, and stirring of paint, to the temperature, humidity, and light of the construction environment, to the performance of the spraying equipment, the operation of the spray gun, and the condition of the underlying surface. Any problem in any link may lead to color difference. Due to the many factors involved and the mutual influence between the factors, it is relatively difficult to control and correct the color difference. For example, once there is a significant color difference (i.e., color difference formation), to correct it, it is often necessary to re-adjust the paint and adjust the spraying process. The correction process is complicated, costly, and the effect is not ideal. Therefore, how to adjust the spraying strategy in time during the car body spraying process to avoid color difference formation is a problem that needs to be solved. Summary of the invention

[0004] The invention provides a vehicle body spraying method and a color difference control system to solve the problems of complex correction process, high cost and unsatisfactory effect caused by correction after color difference forming in the existing vehicle body spraying.

[0005] In order to solve or partially solve the above technical problems, according to one aspect of the present invention, a vehicle body spraying method is provided, comprising:

[0006] Obtaining the body color data corresponding to the body painting based on the spraying parameters, and performing color difference analysis based on the body color data to obtain color difference abnormality index data;

[0007] In response to the color difference abnormality index data reaching the color difference abnormality trigger threshold, obtaining a color difference evaluation parameter corresponding to the color difference abnormality index data;

[0008] Based on the preset spraying adjustment strategy data, target spraying adjustment data matching the color difference evaluation parameters and used to adjust the spraying parameters are determined.

[0009] In one embodiment, based on preset spraying adjustment strategy data, determining target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter includes:

[0010] Determine the type of color difference evaluation parameters;

[0011] Obtaining a magnitude value by which a color difference evaluation parameter exceeds a corresponding color difference evaluation standard;

[0012] Based on the preset spraying adjustment strategy data, the type of the spraying parameter to be adjusted, the adjustment method and the adjustment amount for the spraying parameter to be adjusted that matches the type and amplitude value of the color difference evaluation parameter in the spraying parameters are obtained.

[0013] In one embodiment, the color difference evaluation parameters include: a plurality of color parameters related to color difference at a plurality of preset visual angles.

[0014] In one embodiment, the plurality of preset visual angles include: normal visual angles and / or extreme visual angles.

[0015] In one embodiment, obtaining the vehicle body color data corresponding to when the vehicle body is sprayed based on the spraying parameters includes: obtaining the vehicle body color data corresponding to when the vehicle body is sprayed with the color paint layer based on the spraying parameters;

[0016] Correspondingly, the target spraying adjustment data includes: a plurality of adjustment sub-data for adjusting the spraying parameters of the plurality of sub-layers of the color paint layer respectively.

[0017] In one embodiment, the spraying parameters include paint flow rate and / or air pressure.

[0018] In one embodiment, it also includes: adjusting the spraying parameters based on the target spraying adjustment data to obtain the target spraying parameters; obtaining spraying effect data corresponding to the target spraying parameters, and optimizing the preset spraying adjustment strategy data based on the spraying effect data.

[0019] In one embodiment, the method further includes: in response to the color difference abnormality indicator data not reaching the color difference abnormality trigger threshold, outputting the color difference abnormality indicator data.

[0020] According to another aspect of the present invention, a color difference control system is provided, comprising: a vehicle body spraying module, a color acquisition module, and a color difference monitoring and adjustment module;

[0021] The body spraying module is used to spray the body according to the spraying parameters;

[0022] The color acquisition module is used to collect the body color data in the body painting process and provide the body color data to the color difference monitoring and adjustment module;

[0023] The color difference monitoring and adjustment module is used to execute the above-mentioned vehicle body spraying method, adjust the spraying parameters based on the obtained target spraying adjustment data, and provide the adjusted spraying parameters to the vehicle body spraying module.

[0024] According to another aspect of the present invention, there is provided a vehicle body spraying device, comprising:

[0025] A color difference analysis unit is used to obtain the body color data corresponding to the body painting based on the spraying parameters, and to perform color difference analysis based on the body color data to obtain color difference abnormality index data;

[0026] An evaluation parameter obtaining unit, configured to obtain a color difference evaluation parameter corresponding to the color difference abnormality index data in response to the color difference abnormality index data reaching a color difference abnormality trigger threshold;

[0027] The adjustment data determination unit is used to determine target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter based on preset spraying adjustment strategy data.

[0028] According to another aspect of the present invention, there is also provided an electronic device, comprising a processor and a memory; wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the above method.

[0029] According to another aspect of the present invention, a computer-readable storage medium is provided, on which one or more computer instructions are stored, and the instructions are executed by a processor to implement the above method.

[0030] Compared with the prior art, the present invention has the following advantages:

[0031] The vehicle body spraying method provided by the present invention includes obtaining vehicle body color data corresponding to vehicle body spraying based on spraying parameters, and performing color difference analysis based on vehicle body color data to obtain color difference abnormal index data; in response to the color difference abnormal index data reaching the color difference abnormal trigger threshold, obtaining color difference evaluation parameters corresponding to the color difference abnormal index data; based on preset spraying adjustment strategy data, determining target spraying adjustment data that matches the color difference evaluation parameters and is used to adjust the spraying parameters. After obtaining the color difference abnormal index data and determining that the color difference abnormal index data reaches the color difference abnormal trigger threshold, the method determines that there is a color difference defect in the current spraying process, and obtains the color difference evaluation parameters corresponding to the color difference abnormal index data on this basis, and based on the preset spraying adjustment strategy data, the target spraying adjustment data that matches the color difference evaluation parameters can be obtained, which can realize efficient and accurate detection and adjustment of color difference defects in the vehicle body spraying process, and avoid the problem that the correction process is complicated, the cost is high, and the effect is not ideal due to the correction after the color difference is formed. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a flow chart of a vehicle body spraying method provided in an embodiment of the present application;

[0033] Figure 2 is a unit block diagram of a vehicle body spraying device provided in an embodiment of the present application;

[0034] Figure 3 It is a schematic diagram of the logical structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0035] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application, so the present application is not limited by the specific implementation disclosed below.

[0036] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items. Depending on the context, the word "if" as used herein can be interpreted as "at the time of..." or "when..." or "in response to...".

[0037] In the vehicle body painting scenario, in order to efficiently and accurately adjust the color difference defects during the vehicle body painting process, the present application provides a vehicle body painting method, a vehicle body painting device, an electronic device and a computer-readable storage medium corresponding to the method. The following embodiments are provided to describe the above method, device, electronic device and computer-readable storage medium in detail.

[0038] An embodiment of the present application provides a vehicle body spraying method, the application subject of the method can be a computing device application for controlling the vehicle body spraying process, and the computing device application can run on the spraying equipment or spraying module, and can also run on a terminal or server that manages, controls or provides data support for the spraying equipment or spraying module. Figure 1 The flowchart of the vehicle body spraying method provided in this embodiment is as follows Figure 1 The vehicle body spraying method provided by this embodiment is described in detail. The embodiments described below are used to explain the principle of the method and are not intended to be limiting for actual use.

[0039] like Figure 1 As shown, the vehicle body spraying method provided in this embodiment includes the following steps:

[0040] S101, obtaining vehicle body color data corresponding to vehicle body spraying based on spraying parameters, and performing color difference analysis based on the vehicle body color data to obtain color difference abnormality index data.

[0041] This step is used to obtain corresponding body color data during the process of spraying the body according to predetermined spraying parameters, and perform color difference analysis based on the body color data to obtain color difference abnormality index data, which is used to determine whether there is a color difference defect in the spraying part being inspected in the current spraying process.

[0042] Specifically, after the body painting module (such as a spraying robot) sprays the body according to preset spraying parameters such as spraying flow rate and / or air pressure, the color acquisition module (such as a detection robot) collects the body color data in the body painting process. The body color data is a predetermined parameter in the color difference detection process. For example, in the color difference detection process of the body painting process, commonly used parameters include brightness parameters (L), chromaticity parameters (A, B), chromaticity parameters (C), etc. L represents the brightness of the color, and its value range is usually 0 (black) to 100 (white). In car body spraying, the difference in L value can directly reflect the change in color depth. For example, if the L value of a certain color is 50, but the actual spraying area is 45, it means that the color of that area is darker, which may affect the overall visual brightness consistency. When the brightness difference is obvious, even if the hue and chroma are similar, there will be a significant color difference; the chromaticity parameter A represents the color change from green to red, and it is greener when the value is negative and redder when it is positive; B represents the color change from blue to yellow, and it is bluer when the value is negative and yellower when it is positive. For example, an A value of +8 indicates that the color is reddish, and a B value of -6 indicates that the color is bluish. The A and B values ​​determine the position of the color on the hue wheel and control These two parameters can ensure that the color of the vehicle body meets the standards in terms of hue; chroma (C), also known as saturation, is used to measure the brightness of the color. The higher the C value, the brighter and more intense the color; the lower the C value, the darker the color. If the chroma of different parts of the same vehicle body is different, the color brightness will be uneven, affecting the overall appearance and visual effect; the hue angle (h) indicates the angular position of the color on the hue wheel, which directly reflects the type of color. For example, 0° or 360° represents red, 90° represents yellow, 180° represents green, and 270° represents blue. When detecting color difference, the hue angle is used to determine the direction of color deviation. If the hue angle of a part of the vehicle body deviates greatly from the standard value, it indicates that the color deviates from the expected hue, affecting the overall color coordination.

[0043] The color difference abnormal index data is a comprehensive index determined based on the above body color data. If the color difference abnormal index data is too large, it indicates that there is a color difference defect in the current spraying process. The color difference abnormal index data D can be obtained by the following formula:

[0044]

[0045] Among them, L, A, and B are detection values, L0, A0, and B0 are standard values ​​of the corresponding color difference evaluation standards, E is the coefficient of the color L value, F is the coefficient of the color A value, and G is the coefficient of the color B value.

[0046] In this embodiment, since the base coat (BC) directly determines the color and appearance of the vehicle body, the above-mentioned obtaining the vehicle body color data corresponding to the vehicle body spraying based on the spraying parameters specifically refers to: obtaining the vehicle body color data corresponding to the vehicle body spraying the base coat (BC) based on the spraying parameters. When there is a color difference defect, the color difference can be adjusted by adjusting the spraying parameters corresponding to multiple sub-layers of the BC layer (such as a primer layer, a topcoat layer, etc.).

[0047] S102 , in response to the color difference abnormality index data reaching a color difference abnormality triggering threshold, obtaining a color difference evaluation parameter corresponding to the color difference abnormality index data.

[0048] After the color difference abnormality index data is obtained in the above step, this step is used to compare the color difference abnormality index data with the preset color difference abnormality trigger threshold. When the color difference abnormality index data reaches the color difference abnormality trigger threshold, it is determined that there is a color difference abnormality in the current vehicle body spraying process, and the color difference evaluation parameter corresponding to the color difference abnormality index data is obtained. The color difference evaluation parameter is a refined index of color difference analysis, which characterizes the color parameter with a higher correlation with color difference among the multiple color parameters related to the color difference abnormality index data. In this embodiment, the color difference evaluation parameter is a variety of color parameters related to color difference at multiple preset visual angles (for example, 15°, 25°, 45°, 75°, etc.), and the multiple preset visual angles include conventional visual angles (for example, 15°) and / or extreme visual angles (for example, 75°). For example, if the color difference abnormality index data is the above-mentioned D value, the corresponding color difference evaluation parameter is the detection value of L, A, B and other detection values ​​corresponding to the multiple preset visual angles that has obvious abnormality (for example, exceeds the standard value by a large margin).

[0049] It should be noted that when the color difference abnormality index data is obtained based on other relevant color parameters (such as chroma or hue angle, etc.) of color difference detection, the color difference evaluation parameter is correspondingly the abnormal parameter obtained by screening from other relevant color parameters.

[0050] S103, based on preset spraying adjustment strategy data, determining target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter.

[0051] After the color difference evaluation parameters corresponding to the color difference abnormal index data are obtained in the above step, this step is used to determine the target spray adjustment data that matches the color difference evaluation parameters and is used to adjust the above spray parameters based on the preset spray adjustment strategy data. The spray adjustment strategy data characterizes the corresponding relationship between the color difference evaluation parameters and the spray adjustment data. Specifically, after determining the type of the color difference evaluation parameters and obtaining the amplitude value of the color difference evaluation parameters exceeding the corresponding color difference evaluation standard, the type of spray parameters to be adjusted that match the type and amplitude value of the above color difference evaluation parameters, the adjustment method and adjustment amount for the spray parameters to be adjusted are obtained based on the preset spray adjustment strategy data. In this embodiment, obtaining the body color data corresponding to the body spraying based on the spray parameters specifically refers to: obtaining the body color data corresponding to the body spraying of the color paint layer based on the spray parameters; correspondingly, the target spray adjustment data includes: a plurality of adjustment sub-data for adjusting the spray parameters of a plurality of sub-layers of the color paint layer.

[0052] For example, the color difference evaluation parameters are L and B detected at normal visual angles (for example, 15°) and extreme visual angles (for example, 75°). The color difference evaluation parameters exceed their corresponding color difference evaluation standards by 2 unit values. The types of spray parameters to be adjusted that match them are: spray flow rate and air pressure for the topcoat layer (sub-layer) and primer layer (sub-layer) of the color paint layer. The adjustment method and adjustment amount for the spray parameters to be adjusted are: increase the spray flow rate by 20% and increase the air pressure by 20% for the topcoat layer of the color paint layer, and increase the spray flow rate by 10% and reduce the air pressure by 10% for the primer layer of the color paint layer.

[0053] It should be noted that after obtaining the target spray adjustment data as mentioned above, it is also necessary to adjust the spray parameters based on the target spray adjustment data to obtain the target spray parameters; and obtain the spray effect data corresponding to the target spray parameters, and optimize the preset spray adjustment strategy data based on the spray effect data. For example, the spray robot is controlled to spray the car body based on the target spray parameters, and the color difference analysis is performed on the car body color data after spraying. If color difference defects still occur, it indicates that the above-mentioned spray adjustment strategy data needs to be further optimized. Specifically, the correspondence between the color difference evaluation parameters in the spray adjustment strategy data and the spray adjustment data can be improved, and the improved spray adjustment strategy data can be used in the subsequent color difference analysis to determine the corresponding target spray adjustment data, and the above operation is repeated; if no color difference defects occur, it indicates that the spray adjustment strategy data does not need to be optimized.

[0054] It should be noted that, when it is determined that the color difference abnormality indicator data does not reach the color difference abnormality trigger threshold, the color difference abnormality indicator data can also be output, for example, the color difference abnormality indicator data can be displayed on a display device to prompt the current color difference situation or color difference trend.

[0055] The vehicle body spraying method provided in this embodiment obtains the vehicle body color data corresponding to the vehicle body spraying based on the spraying parameters, and performs color difference analysis based on the vehicle body color data, and obtains the color difference abnormal index data. In response to the color difference abnormal index data reaching the color difference abnormal trigger threshold, the color difference evaluation parameter corresponding to the color difference abnormal index data is obtained, and based on the preset spraying adjustment strategy data, the target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameters is determined. After obtaining the color difference abnormal index data and determining that the color difference abnormal index data reaches the color difference abnormal trigger threshold, the method determines that there is a color difference defect in the current spraying process, and obtains the color difference evaluation parameter corresponding to the color difference abnormal index data on this basis, and based on the preset spraying adjustment strategy data, the target spraying adjustment data that matches the color difference evaluation parameter can be obtained, which can realize efficient and accurate detection and adjustment of color difference defects in the vehicle body spraying process, and avoid the problem that the correction process is complicated, the cost is high, and the effect is not ideal due to the correction after the color difference is formed.

[0056] The above-mentioned embodiment provides a vehicle body spraying method. Correspondingly, another embodiment of the present application also provides a vehicle body spraying device. Since the device embodiment is basically similar to the method embodiment, the description is relatively simple. For details of the relevant technical features, please refer to the corresponding description of the method embodiment provided above. The following description of the device embodiment is merely illustrative.

[0057] Please refer to Figure 2 To understand this embodiment, Figure 2 The unit block diagram of the vehicle body spraying device provided in this embodiment is as follows: Figure 2 As shown, the vehicle body spraying device provided in this embodiment includes:

[0058] The color difference analysis unit 201 is used to obtain the body color data corresponding to the body painting based on the painting parameters, and perform color difference analysis based on the body color data to obtain color difference abnormality index data;

[0059] An evaluation parameter obtaining unit 202 is configured to obtain a color difference evaluation parameter corresponding to the color difference abnormality index data in response to the color difference abnormality index data reaching a color difference abnormality trigger threshold;

[0060] The adjustment data determination unit 203 is used to determine target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter based on the preset spraying adjustment strategy data.

[0061] In one embodiment, based on preset spraying adjustment strategy data, determining target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter includes:

[0062] Determine the type of color difference evaluation parameter;

[0063] Obtaining a magnitude value by which a color difference evaluation parameter exceeds a corresponding color difference evaluation standard;

[0064] Based on the preset spraying adjustment strategy data, the type of the spraying parameter to be adjusted, the adjustment method and the adjustment amount for the spraying parameter to be adjusted that matches the type and amplitude value of the color difference evaluation parameter in the spraying parameters are obtained.

[0065] In one embodiment, the color difference evaluation parameters include: a plurality of color parameters related to color difference at a plurality of preset visual angles.

[0066] In one embodiment, the plurality of preset visual angles include: normal visual angles and / or extreme visual angles.

[0067] In one embodiment, obtaining the vehicle body color data corresponding to when the vehicle body is sprayed based on the spraying parameters includes: obtaining the vehicle body color data corresponding to when the vehicle body is sprayed with the color paint layer based on the spraying parameters;

[0068] Correspondingly, the target spraying adjustment data includes: a plurality of adjustment sub-data for adjusting the spraying parameters of the plurality of sub-layers of the color paint layer respectively.

[0069] In one embodiment, the spraying parameters include paint flow rate and / or air pressure.

[0070] In one embodiment, it also includes: adjusting the spraying parameters based on the target spraying adjustment data to obtain the target spraying parameters; obtaining spraying effect data corresponding to the target spraying parameters, and optimizing the preset spraying adjustment strategy data based on the spraying effect data.

[0071] In one embodiment, the method further includes: in response to the color difference abnormality indicator data not reaching the color difference abnormality trigger threshold, outputting the color difference abnormality indicator data.

[0072] Another embodiment of the present application further provides an electronic device, which can be provided with the above-mentioned vehicle body spraying device in the form of a program to execute the vehicle body spraying method provided by the embodiment of the present invention. Optionally, an optional hardware structure of the electronic device can be as follows Figure 3 As shown, it includes: at least one processor 301, at least one communication interface 302, at least one memory 303 and at least one communication bus 304;

[0073] Optionally, the communication interface 302 may be an interface of a communication module, such as an interface of a GSM module;

[0074] The processor 301 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0075] The memory 303 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0076] The memory 303 stores a program, and the processor 301 calls the program stored in the memory 303 to execute the vehicle body spraying method provided in the above embodiment.

[0077] In the above-mentioned embodiments, a vehicle body spraying method, a vehicle body spraying device and an electronic device are provided. In addition, another embodiment of the present application further provides a computer-readable storage medium for implementing the above-mentioned vehicle body spraying method. The computer-readable storage medium embodiment provided in the present application is described relatively simply. For the relevant parts, please refer to the corresponding description of the above-mentioned method embodiment. The embodiments described below are merely illustrative.

[0078] The computer readable storage medium provided in this embodiment stores computer instructions, and when the instructions are executed by a processor, the following steps are implemented:

[0079] Obtaining the body color data corresponding to the body painting based on the spraying parameters, and performing color difference analysis based on the body color data to obtain color difference abnormality index data;

[0080] In response to the color difference abnormality index data reaching the color difference abnormality trigger threshold, obtaining a color difference evaluation parameter corresponding to the color difference abnormality index data;

[0081] Based on the preset spraying adjustment strategy data, target spraying adjustment data matching the color difference evaluation parameters and used to adjust the spraying parameters are determined.

[0082] In one embodiment, based on preset spraying adjustment strategy data, determining target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter includes:

[0083] Determine the type of color difference evaluation parameters;

[0084] Obtaining a magnitude value by which a color difference evaluation parameter exceeds a corresponding color difference evaluation standard;

[0085] Based on the preset spraying adjustment strategy data, the type of the spraying parameter to be adjusted, the adjustment method and the adjustment amount for the spraying parameter to be adjusted that matches the type and amplitude value of the color difference evaluation parameter in the spraying parameters are obtained.

[0086] In one embodiment, the color difference evaluation parameters include: a plurality of color parameters related to color difference at a plurality of preset visual angles.

[0087] In one embodiment, the plurality of preset visual angles include: normal visual angles and / or extreme visual angles.

[0088] In one embodiment, obtaining the vehicle body color data corresponding to when the vehicle body is sprayed based on the spraying parameters includes: obtaining the vehicle body color data corresponding to when the vehicle body is sprayed with the color paint layer based on the spraying parameters;

[0089] Correspondingly, the target spraying adjustment data includes: a plurality of adjustment sub-data for adjusting the spraying parameters of the plurality of sub-layers of the color paint layer respectively.

[0090] In one embodiment, the spraying parameters include paint flow rate and / or air pressure.

[0091] In one embodiment, it also includes: adjusting the spraying parameters based on the target spraying adjustment data to obtain the target spraying parameters; obtaining spraying effect data corresponding to the target spraying parameters, and optimizing the preset spraying adjustment strategy data based on the spraying effect data.

[0092] In one embodiment, the method further includes: in response to the color difference abnormality indicator data not reaching the color difference abnormality trigger threshold, outputting the color difference abnormality indicator data.

[0093] In another embodiment of the present application, a color difference control system is also provided, which includes: a body spraying module, a color acquisition module, and a color difference monitoring and adjustment module; the body spraying module is used to spray the body according to the spraying parameters; the color acquisition module is used to collect the body color data in the body spraying process, and provide the body color data to the color difference monitoring and adjustment module; the color difference monitoring and adjustment module is used to execute the body spraying method described in the above-mentioned body spraying method embodiment to obtain target spraying adjustment data, and adjust the spraying parameters based on the obtained target spraying adjustment data, and provide the adjusted spraying parameters to the body spraying module, and the body spraying module uses the adjusted spraying parameters to spray the body.

[0094] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0095] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0096] 1. Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include non-transitory media such as modulated data signals and carrier waves.

[0097] 2. Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] Although the present application is disclosed as above in the form of a preferred embodiment, it is not intended to limit the present application. Any technical personnel in this field may make possible changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined by the claims of the present application.

Claims

1. A method for spraying a vehicle body, characterized in that: The method comprises: Obtaining the body color data corresponding to the body painting based on the spraying parameters, and performing color difference analysis based on the body color data to obtain color difference abnormality index data; In response to the color difference abnormality index data reaching the color difference abnormality trigger threshold, obtaining a color difference evaluation parameter corresponding to the color difference abnormality index data; Based on the preset spraying adjustment strategy data, target spraying adjustment data matching the color difference evaluation parameters and used to adjust the spraying parameters are determined.

2. The method according to claim 1, characterized in that: Based on the preset spraying adjustment strategy data, determining target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter includes: Determine the type of color difference evaluation parameters; Obtaining a magnitude value by which a color difference evaluation parameter exceeds a corresponding color difference evaluation standard; Based on the preset spraying adjustment strategy data, the type of the spraying parameter to be adjusted, the adjustment method and the adjustment amount for the spraying parameter to be adjusted that matches the type and amplitude value of the color difference evaluation parameter in the spraying parameters are obtained.

3. The method according to claim 1 or 2, characterized in that: The color difference evaluation parameters include: a plurality of color parameters related to color difference at a plurality of preset visual angles.

4. The method according to claim 3, characterized in that The plurality of preset visual angles include: a normal visual angle and / or an extreme visual angle.

5. The method according to claim 1, characterized in that Obtaining the vehicle body color data corresponding to when the vehicle body is sprayed based on the spraying parameters, including: obtaining the vehicle body color data corresponding to when the vehicle body is sprayed with the color paint layer based on the spraying parameters; Correspondingly, the target spraying adjustment data includes: a plurality of adjustment sub-data for adjusting the spraying parameters of the plurality of sub-layers of the color paint layer respectively.

6. The method according to claim 1 or 5, characterized in that: The spraying parameters include paint flow rate and / or air pressure.

7. The method according to claim 1, characterized in that Also includes: Adjusting the spraying parameters based on the target spraying adjustment data to obtain target spraying parameters; The spraying effect data corresponding to the target spraying parameters are obtained, and the preset spraying adjustment strategy data are optimized based on the spraying effect data.

8. The method according to claim 1, characterized in that: Also includes: In response to the color difference abnormality index data not reaching the color difference abnormality trigger threshold, the color difference abnormality index data is output.

9. A color difference control system, characterized in that: include: Car body painting module, color acquisition module, color difference monitoring and adjustment module; The body spraying module is used to spray the body according to the spraying parameters; The color acquisition module is used to collect the body color data in the body painting process and provide the body color data to the color difference monitoring and adjustment module; The color difference monitoring and adjustment module is used to execute the vehicle body spraying method according to any one of claims 1 to 8, adjust the spraying parameters based on the obtained target spraying adjustment data, and provide the adjusted spraying parameters to the vehicle body spraying module.

10. A vehicle body spraying device, characterized in that: include: A color difference analysis unit is used to obtain the body color data corresponding to the body painting based on the spraying parameters, and to perform color difference analysis based on the body color data to obtain color difference abnormality index data; An evaluation parameter obtaining unit, configured to obtain a color difference evaluation parameter corresponding to the color difference abnormality index data in response to the color difference abnormality index data reaching a color difference abnormality trigger threshold; The adjustment data determination unit is used to determine target spraying adjustment data that matches the color difference evaluation parameter and is used to adjust the spraying parameter based on preset spraying adjustment strategy data.

11. An electronic device, characterized in that: comprising a processor and a memory; wherein, The memory is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method according to any one of claims 1 to 8.

12. A computer-readable storage medium having one or more computer instructions stored thereon, characterized in that: The instructions are executed by a processor to implement the method according to any one of claims 1 to 8.

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