Automobile coating damage resistance detection method and detection system

Abstract

The embodiment of the invention provides an automobile coating damage resistance detection method and system, and the method comprises the steps: obtaining the factory parameter information of an automobile coating, and obtaining the safety index information based on the factory parameter information of the automobile coating; setting detection environment parameters based on the automobile coating factory parameter information, and generating multiple pieces of detection condition information according to the detection environment parameters; detecting the to-be-detected sample based on the multiple pieces of detection condition information to obtain detection data; comparing the detection data with the safety index information to obtain data difference information; analyzing data exception information based on the data difference information, analyzing damage information of the to-be-detected product based on the data exception information, and transmitting the damage information to the terminal in real time; different detection environment parameters are set by analyzing factory parameters of the automobile coating, so that the damage resistance of the automobile coating in different use environments can be detected, and the detection flexibility is improved.

Description

Technical Field

[0001] The present application relates to the technical field of automotive coating analysis. Specifically, it relates to a method and a system for detecting anti-damage of automotive coatings. Background Art

[0002] The usage of automobiles is increasing at a rapid speed every year. It is not only a means of transportation for people but also a symbol of people's identity. As automobiles enter the consumption vision of ordinary people as high-end consumer goods, the annual output of automobiles and their surface coatings both show an increase of more than 10% in front of people. At the same time, the appearance and service life of automobiles are increasingly emphasized. The purpose of automotive painting is to make the automobile body have excellent appearance decoration, weather resistance, comfort (habitability), sealing performance, and corrosion resistance, so as to improve its commercial value and extend its service life. At present, with the development of the automotive industry, the requirements for automotive coating materials are becoming stricter. According to the usage environment conditions of automobiles, the coating not only needs to have good weather resistance and corrosion resistance but also excellent decorative properties. In the existing methods for detecting anti-damage of automotive coatings, it is difficult to set different detection environment parameters according to the factory parameter information of automotive coatings, so it is difficult to conduct a comprehensive detection under various detection conditions, and the detection error is relatively large. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a method and a system for detecting anti-damage of automotive coatings. By analyzing the factory parameter information of automotive coatings, different detection environment parameters can be set, so as to detect the anti-damage of automotive coatings under different usage environments and improve the detection flexibility.

[0004] The embodiments of the present application also provide a method for detecting anti-damage of automotive coatings, including:

[0005] Obtain the factory parameter information of the automotive coating, and obtain the safety index information based on the factory parameter information of the automotive coating;

[0006] Set the detection environment parameters based on the factory parameter information of the automotive coating, and generate multiple detection condition information according to the detection environment parameters;

[0007] Detect the sample to be tested based on multiple detection condition information to obtain detection data;

[0008] Compare the detection data with the safety index information to obtain data difference information, and analyze the data anomaly information based on the data difference information;

[0009] Analyze the damage information of the sample to be tested based on the data anomaly information, and transmit the damage information to the terminal in real time.

[0010] Optionally, in the method for detecting anti-damage of automotive coatings described in the embodiments of the present application, obtaining the factory parameter information of the automotive coatings and obtaining the safety index information based on the factory parameter information of the automotive coatings specifically includes:

[0011] Obtaining the production requirements of the vehicle model and vehicle parts to obtain the factory parameter information of the automotive coatings;

[0012] Analyzing the type, composition, and thickness of the automotive coatings based on the factory parameter information of the automotive coatings;

[0013] Analyzing the molecular structure and molecular composition of the automotive coatings based on the composition of the automotive coatings, and analyzing the composition ratio of different components of the automotive coatings based on the type of the automotive coatings;

[0014] Obtaining the physical and chemical properties of the automotive coatings according to the type, composition ratio, and thickness of the automotive coatings. The physical properties include the friction property, fracture property, and hardness property of the automotive coatings, and the chemical properties include the corrosion resistance property, ultraviolet resistance property, and high temperature resistance property;

[0015] Analyzing the safety index information corresponding to different types of automotive coatings based on the physical and chemical properties of the automotive coatings.

[0016] Optionally, in the method for detecting anti-damage of automotive coatings described in the embodiments of the present application, setting the detection environment parameters based on the factory parameter information of the automotive coatings and generating multiple detection condition information according to the detection environment parameters specifically includes:

[0017] Obtaining the factory parameter information of the automotive coatings and analyzing the type, composition ratio, and thickness of the automotive coatings;

[0018] Constructing a detection environment, setting the detection environment parameters based on the factory parameter information of the automotive coatings, configuring the detection environment to obtain configuration information, and calculating the parameter matching degree based on the configuration information;

[0019] Judging whether the parameter matching degree is greater than or equal to the set matching degree threshold;

[0020] If it is greater than or equal to, generating multiple detection condition information according to the configuration information. The detection environment parameter information includes corrosion resistance detection environment parameters, high temperature resistance detection environment parameters, and ultraviolet resistance detection environment parameters, and the detection condition information includes corrosion resistance parameter levels, high temperature resistance parameter levels, and ultraviolet resistance parameter levels;

[0021] If it is less than, adjusting the configuration information of the detection environment parameters.

[0022] Optionally, in the method for detecting anti-damage of automotive coatings described in the embodiments of the present application, detecting the sample to be tested based on multiple detection condition information to obtain detection data, specifically including:

[0023] Obtain the corrosion-resistant detection environment parameters, high-temperature-resistant detection environment parameters, and ultraviolet-resistant detection environment parameters;

[0024] Set multiple levels of corrosion-resistant parameters according to the corrosion-resistant detection environment parameters, adjust the levels of the corrosion-resistant parameters in sequence, detect the corrosion resistance of the automotive coating, and obtain the corrosion data of the automotive coating;

[0025] Set multiple levels of high-temperature-resistant parameters according to the high-temperature-resistant detection environment parameters, adjust the levels of the high-temperature-resistant parameters in sequence, detect the high-temperature resistance of the automotive coating, and obtain the high-temperature influence data of the automotive coating;

[0026] Set multiple levels of ultraviolet-resistant parameters according to the ultraviolet-resistant detection environment parameters, adjust the levels of the ultraviolet resistance in sequence, detect the ultraviolet resistance of the automotive coating, and obtain the ultraviolet influence data of the automotive coating;

[0027] Obtain the detection data corresponding to multiple detection condition information based on the corrosion data of the automotive coating, the high-temperature influence data of the automotive coating, and the ultraviolet influence data of the automotive coating.

[0028] Optionally, in the automotive coating anti-damage detection method described in the embodiments of the present application, analyze the data anomaly information based on the data difference information, specifically including:

[0029] Obtain the data difference information, compare the data difference information with the set difference information, and obtain the data deviation rate;

[0030] Judge the comparison between the data deviation rate and the set data deviation rate threshold. The set data deviation rate threshold includes a first data deviation rate threshold and a second data deviation rate threshold, and the first data deviation rate threshold is less than the second data deviation rate threshold;

[0031] If the data deviation rate is less than or equal to the first data deviation rate threshold, it is determined that the data difference information meets the requirements;

[0032] If the data deviation rate is greater than the first data deviation rate threshold and less than the second data deviation rate threshold, generate the first data anomaly information;

[0033] If the data deviation rate is greater than or equal to the second data deviation rate threshold, generate the second data anomaly information.

[0034] Optionally, in the automotive coating anti-damage detection method described in the embodiments of the present application, analyze the damage information of the product to be inspected based on the data anomaly information, specifically including:

[0035] Obtain historical damage analysis data based on big data, and establish a training set and a test set according to the historical damage analysis data;

[0036] Iteratively train the initial model based on the training set to obtain the training result;

[0037] Determine whether the training result converges;

[0038] If it converges, obtain the damage analysis model, analyze the data anomaly information based on the damage analysis model, and output the damage information of the product to be inspected;

[0039] If it does not converge, dynamically adjust the hyperparameters of the damage analysis model based on the test set.

[0040] In a second aspect, an embodiment of the present application provides an anti-damage detection system for automotive coatings. The system includes: a memory and a processor. The memory includes a program for the anti-damage detection method of automotive coatings. When the program for the anti-damage detection method of automotive coatings is executed by the processor, the following steps are implemented:

[0041] Obtain the factory parameter information of the automotive coating, and obtain the safety index information based on the factory parameter information of the automotive coating;

[0042] Set the detection environment parameters based on the factory parameter information of the automotive coating, and generate multiple detection condition information according to the detection environment parameters;

[0043] Detect the product to be inspected based on the multiple detection condition information to obtain detection data;

[0044] Compare the detection data with the safety index information to obtain data difference information, and analyze the data anomaly information based on the data difference information;

[0045] Analyze the damage information of the product to be inspected based on the data anomaly information, and transmit the damage information to the terminal in real time.

[0046] Optionally, in the anti-damage detection system for automotive coatings described in the embodiment of the present application, obtaining the factory parameter information of the automotive coating and obtaining the safety index information based on the factory parameter information of the automotive coating specifically includes:

[0047] Obtain the factory parameter information of the automotive coating by obtaining the vehicle model and the production requirements of automotive parts;

[0048] Analyze the type, composition, and thickness of the automotive coating based on the factory parameter information of the automotive coating;

[0049] Analyze the molecular structure and molecular composition of the automotive coating based on the composition of the automotive coating, and analyze the composition ratio of different components of the automotive coating based on the type of the automotive coating;

[0050] Obtain the physical and chemical properties of the automotive coating according to the type, composition ratio, and thickness of the automotive coating. The physical properties include the friction property, fracture property, and hardness property of the automotive coating, and the chemical properties include the corrosion resistance property, ultraviolet resistance property, and high-temperature resistance property;

[0051] Analyze the safety index information corresponding to different types of automotive coatings based on the physical and chemical properties of the automotive coating.

[0052] Optionally, in the automotive coating anti-damage detection system described in the embodiments of the present application, set the detection environment parameters based on the factory parameter information of the automotive coating, and generate multiple detection condition information according to the detection environment parameters, specifically including:

[0053] Obtain the factory parameter information of the automotive coating, and analyze the type, composition ratio, and thickness of the automotive coating;

[0054] Construct a detection environment, set the detection environment parameters based on the factory parameter information of the automotive coating, configure the detection environment to obtain configuration information, and calculate the parameter matching degree based on the configuration information;

[0055] Judge whether the parameter matching degree is greater than or equal to the set matching degree threshold;

[0056] If it is greater than or equal to, generate multiple detection condition information according to the configuration information. The detection environment parameter information includes corrosion resistance detection environment parameters, high-temperature resistance detection environment parameters, and ultraviolet resistance detection environment parameters, and the detection condition information includes corrosion resistance parameter levels, high-temperature resistance parameter levels, and ultraviolet resistance parameter levels;

[0057] If it is less than, adjust the configuration information of the detection environment parameters.

[0058] In a third aspect, the embodiments of the present application also provide a computer-readable storage medium, which includes a program for the automotive coating anti-damage detection method. When the program for the automotive coating anti-damage detection method is executed by a processor, the steps of the automotive coating anti-damage detection method described in any one of the above are implemented.

[0059] As can be seen from the above, a method and a detection system for detecting anti-damage of an automotive coating provided by an embodiment of the present application obtain the factory parameter information of the automotive coating, and obtain safety index information based on the factory parameter information of the automotive coating; set detection environment parameters based on the factory parameter information of the automotive coating, and generate multiple detection condition information according to the detection environment parameters; detect a sample to be tested based on the multiple detection condition information to obtain detection data; compare the detection data with the safety index information to obtain data difference information; analyze data anomaly information based on the data difference information, analyze the damage information of the sample to be tested based on the data anomaly information, and transmit the damage information to the terminal in real time; by analyzing the factory parameters of the automotive coating, different detection environment parameters are set, so that the anti-damage detection of the automotive coating in different use environments can be carried out, and the detection flexibility is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0061] Figure 1 It is a flowchart of the method for detecting anti-damage of an automotive coating provided by an embodiment of the present application;

[0062] Figure 2 It is a flowchart of the method for obtaining safety index information of the method for detecting anti-damage of an automotive coating provided by an embodiment of the present application;

[0063] Figure 3 It is a flowchart of the method for analyzing detection condition information of the method for detecting anti-damage of an automotive coating provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0064] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application provided in the following drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0065] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0066] Please refer to Figure 1 , Figure 1 which is a flowchart of a method for detecting anti-damage of an automotive coating in some embodiments of the present application. This method for detecting anti-damage of an automotive coating is used in a terminal device and includes the following steps:

[0067] S101, obtain the factory parameter information of the automotive coating, and obtain the safety index information based on the factory parameter information of the automotive coating;

[0068] S102, set the detection environment parameters based on the factory parameter information of the automotive coating, and generate multiple detection condition information according to the detection environment parameters;

[0069] S103, detect the sample to be tested based on the multiple detection condition information to obtain detection data;

[0070] S104, compare the detection data with the safety index information to obtain data difference information, and analyze the data anomaly information based on the data difference information;

[0071] S105, analyze the damage information of the sample to be tested based on the data anomaly information, and transmit the damage information to the terminal in real time.

[0072] It should be noted that by analyzing the factory parameter of the automotive coating to set the corresponding detection environment parameters, the detection data of the sample to be tested under multiple detection conditions can be obtained, realizing the accurate analysis and identification of the damage data of the automotive coating and improving the detection accuracy.

[0073] Please refer to Figure 2 , Figure 2 which is a flowchart of a method for obtaining safety index information of a method for detecting anti-damage of an automotive coating in some embodiments of the present application. According to the embodiments of the present invention, obtaining the factory parameter information of the automotive coating and obtaining the safety index information based on the factory parameter information of the automotive coating specifically includes:

[0074] S201, obtain the factory parameter information of the automotive coating by obtaining the vehicle model and the production requirements of automotive parts;

[0075] S202, analyze the type, composition and thickness of the automotive coating based on the factory parameter information of the automotive coating;

[0076] S203. Analyze the molecular structure and molecular composition of the automotive coating based on its composition, and analyze the composition ratios of different components of the automotive coating based on its type.

[0077] S204. Obtain the physical and chemical properties of the automotive coating based on its type, composition ratio, and thickness. The physical properties include the friction property, fracture property, and hardness property of the automotive coating, and the chemical properties include the corrosion resistance property, ultraviolet resistance property, and high-temperature resistance property.

[0078] S205. Analyze the safety index information corresponding to different types of automotive coatings based on their physical and chemical properties.

[0079] It should be noted that by analyzing the physical and chemical properties of the automotive coating based on its composition ratio and type, and separately analyzing the physical and chemical properties of the automotive coating, accurate safety index information for different automotive coatings can be ensured, facilitating subsequent analysis of automotive coating damage.

[0080] Please refer to Figure 3 , Figure 3 is a flowchart of the analysis method for the detection condition information of a method for detecting damage resistance of an automotive coating in some embodiments of the present application. According to an embodiment of the present invention, set the detection environment parameters based on the factory parameter information of the automotive coating, and generate multiple detection condition information according to the detection environment parameters, specifically including:

[0081] S301. Obtain the factory parameter information of the automotive coating, and analyze its type, composition ratio, and thickness.

[0082] S302. Construct a detection environment, set the detection environment parameters based on the factory parameter information of the automotive coating, configure the detection environment to obtain configuration information, and calculate the parameter matching degree based on the configuration information.

[0083] S303. Determine whether the parameter matching degree is greater than or equal to the set matching degree threshold.

[0084] S304. If it is greater than or equal to, generate multiple detection condition information according to the configuration information. The detection environment parameter information includes the corrosion resistance detection environment parameters, high-temperature resistance detection environment parameters, and ultraviolet resistance detection environment parameters, and the detection condition information includes the corrosion resistance parameter level, high-temperature resistance parameter level, and ultraviolet resistance parameter level.

[0085] S305. If it is less than, adjust the configuration information of the detection environment parameters.

[0086] It should be noted that by configuring the detection environment parameters and analyzing the matching degree between the detection environment parameters and the product to be detected, the configuration information is dynamically adjusted to improve the flexibility of configuring the detection environment.

[0087] According to an embodiment of the present invention, a sample to be tested is detected based on multiple detection condition information to obtain detection data, specifically including:

[0088] Obtain corrosion-resistant detection environment parameters, high-temperature-resistant detection environment parameters, and ultraviolet-resistant detection environment parameters;

[0089] Set multiple levels of corrosion-resistant parameters according to the corrosion-resistant detection environment parameters, and sequentially adjust the levels of the corrosion-resistant parameters to detect the corrosion resistance of the automotive coating to obtain corrosion data of the automotive coating;

[0090] Set multiple levels of high-temperature-resistant parameters according to the high-temperature-resistant detection environment parameters, and sequentially adjust the levels of the high-temperature-resistant parameters to detect the high-temperature resistance of the automotive coating to obtain high-temperature influence data of the automotive coating;

[0091] Set multiple levels of ultraviolet-resistant parameters according to the ultraviolet-resistant detection environment parameters, and sequentially adjust the levels of the ultraviolet resistance to detect the ultraviolet resistance performance of the automotive coating to obtain ultraviolet influence data of the automotive coating;

[0092] Based on the corrosion data of the automotive coating, the high-temperature influence data of the automotive coating, and the ultraviolet influence data of the automotive coating, obtain the detection data corresponding to the multiple detection condition information.

[0093] It should be noted that under different detection conditions, different detection levels are set, so that the detection level can be continuously adjusted to analyze the tolerance of the automotive coating and improve the analysis accuracy of automotive coating damage.

[0094] According to an embodiment of the present invention, data anomaly information is analyzed based on data difference information, specifically including:

[0095] Obtain data difference information, compare the data difference information with the set difference information to obtain a data deviation rate;

[0096] Judge by comparing the data deviation rate with the set data deviation rate thresholds. The set data deviation rate thresholds include a first data deviation rate threshold and a second data deviation rate threshold, and the first data deviation rate threshold is less than the second data deviation rate threshold;

[0097] If the data deviation rate is less than or equal to the first data deviation rate threshold, it is determined that the data difference information meets the requirements;

[0098] If the data deviation rate is greater than the first data deviation rate threshold and less than the second data deviation rate threshold, generate first data anomaly information;

[0099] If the data deviation rate is greater than or equal to the second data deviation rate threshold, generate second data anomaly information.

[0100] It should be noted that by analyzing the data difference information, different data deviation rates result in different data anomaly information, thereby classifying the levels of data anomalies, achieving segmented analysis of automotive coating damage analysis, and enabling accurate analysis of the damage situation and degree of damage.

[0101] According to an embodiment of the present invention, analyzing the damage information of a product to be inspected based on data anomaly information specifically includes:

[0102] Obtaining historical damage analysis data based on big data, and establishing a training set and a test set according to the historical damage analysis data;

[0103] Performing iterative training on an initial model based on the training set to obtain a training result;

[0104] Judging whether the training result converges;

[0105] If it converges, a damage analysis model is obtained, and the data anomaly information is analyzed based on the damage analysis model to output the damage information of the product to be inspected;

[0106] If it does not converge, the hyperparameters of the damage analysis model are dynamically adjusted based on the test set.

[0107] It should be noted that by continuously training the model with historical data, the output result of the damage analysis model is ensured to be closer to the actual result, the output accuracy of the damage analysis model is improved, and the damage analysis error is reduced.

[0108] In a second aspect, an embodiment of the present application provides an automotive coating anti-damage detection system, which includes: a memory and a processor. The memory includes a program for the automotive coating anti-damage detection method. When the program for the automotive coating anti-damage detection method is executed by the processor, the following steps are implemented:

[0109] Obtaining the factory parameter information of the automotive coating, and obtaining safety index information based on the factory parameter information of the automotive coating;

[0110] Setting detection environment parameters based on the factory parameter information of the automotive coating, and generating multiple detection condition information according to the detection environment parameters;

[0111] Detecting a product to be inspected based on multiple detection condition information to obtain detection data;

[0112] Comparing the detection data with the safety index information to obtain data difference information, and analyzing data anomaly information based on the data difference information;

[0113] Analyzing the damage information of the product to be inspected based on the data anomaly information, and transmitting the damage information to the terminal in real time.

[0114] It should be noted that by analyzing the detection environment parameters corresponding to the factory settings of automotive coatings, the detection data of the product to be inspected under multiple detection conditions can be obtained, realizing the accurate analysis and identification of automotive coating damage data and improving the detection accuracy.

[0115] According to an embodiment of the present invention, obtaining the factory parameter information of automotive coatings and obtaining the safety index information based on the factory parameter information of automotive coatings specifically includes:

[0116] Obtaining the production requirements of the vehicle model and automotive parts to obtain the factory parameter information of automotive coatings;

[0117] Analyzing the type, composition, and thickness of the automotive coating based on the factory parameter information of the automotive coating;

[0118] Analyzing the molecular structure and molecular composition of the automotive coating based on the composition of the automotive coating, and analyzing the composition ratio of different components of the automotive coating based on the type of the automotive coating;

[0119] Obtaining the physical and chemical properties of the automotive coating according to the type, composition ratio, and thickness of the automotive coating. The physical properties include the friction property, fracture property, and hardness property of the automotive coating, and the chemical properties include the corrosion resistance, ultraviolet resistance, and high-temperature resistance;

[0120] Analyzing the safety index information corresponding to different types of automotive coatings based on the physical and chemical properties of the automotive coating.

[0121] It should be noted that the physical and chemical properties of the automotive coating are analyzed according to the composition ratio and type of the automotive coating, so as to separately analyze the physical and chemical properties of the automotive coating, ensure accurate safety index information for different automotive coatings, and facilitate subsequent analysis of automotive coating damage.

[0122] According to an embodiment of the present invention, setting the detection environment parameters based on the factory parameter information of the automotive coating and generating multiple detection condition information according to the detection environment parameters specifically includes:

[0123] Obtaining the factory parameter information of the automotive coating and analyzing the type, composition ratio, and thickness of the automotive coating;

[0124] Constructing a detection environment, setting the detection environment parameters based on the factory parameter information of the automotive coating, configuring the detection environment to obtain configuration information, and calculating the parameter matching degree based on the configuration information;

[0125] Judging whether the parameter matching degree is greater than or equal to the set matching degree threshold;

[0126] If it is greater than or equal to, multiple detection condition information is generated according to the configuration information. The detection environment parameter information includes corrosion-resistant detection environment parameters, high-temperature-resistant detection environment parameters, and ultraviolet-resistant detection environment parameters. The detection condition information includes corrosion-resistant parameter levels, high-temperature-resistant parameter levels, and ultraviolet-resistant parameter levels;

[0127] If it is less than, the configuration information of the detection environment parameters is adjusted.

[0128] It should be noted that by configuring the detection environment parameters and analyzing the matching degree between the detection environment parameters and the product to be inspected, the configuration information is dynamically adjusted to improve the flexibility of the detection environment configuration.

[0129] According to the embodiments of the present invention, the product to be inspected is detected based on multiple detection condition information to obtain detection data, specifically including:

[0130] Obtain corrosion-resistant detection environment parameters, high-temperature-resistant detection environment parameters, and ultraviolet-resistant detection environment parameters;

[0131] Set multiple levels of corrosion-resistant parameters according to the corrosion-resistant detection environment parameters, and sequentially adjust the levels of the corrosion-resistant parameters to detect the corrosion resistance of the automotive coating to obtain the corrosion data of the automotive coating;

[0132] Set multiple levels of high-temperature-resistant parameters according to the high-temperature-resistant detection environment parameters, and sequentially adjust the levels of the high-temperature-resistant parameters to detect the high-temperature resistance of the automotive coating to obtain the high-temperature influence data of the automotive coating;

[0133] Set multiple levels of ultraviolet-resistant parameters according to the ultraviolet-resistant detection environment parameters, and sequentially adjust the levels of the ultraviolet resistance to detect the ultraviolet resistance performance of the automotive coating to obtain the ultraviolet influence data of the automotive coating;

[0134] Based on the corrosion data of the automotive coating, the high-temperature influence data of the automotive coating, and the ultraviolet influence data of the automotive coating, the detection data corresponding to multiple detection condition information is obtained.

[0135] It should be noted that under different detection conditions, different detection levels are set, so that the detection levels can be continuously adjusted to analyze the tolerance degree of the automotive coating and improve the analysis accuracy of automotive coating damage.

[0136] According to the embodiments of the present invention, data anomaly information is analyzed based on data difference information, specifically including:

[0137] Obtain data difference information, compare the data difference information with the set difference information to obtain a data deviation rate;

[0138] Compare the data deviation rate with the set data deviation rate thresholds. The set data deviation rate thresholds include a first data deviation rate threshold and a second data deviation rate threshold, and the first data deviation rate threshold is less than the second data deviation rate threshold;

[0139] If the data deviation rate is less than or equal to the first data deviation rate threshold, it is determined that the data difference information meets the requirements;

[0140] If the data deviation rate is greater than the first data deviation rate threshold and less than the second data deviation rate threshold, first data anomaly information is generated;

[0141] If the data deviation rate is greater than or equal to the second data deviation rate threshold, second data anomaly information is generated.

[0142] It should be noted that by analyzing the data difference information, different data deviation rates result in different data anomaly information, thereby classifying the levels of data anomalies, realizing the segmented analysis of automotive coating damage analysis, and enabling accurate analysis of the damage situation and degree of damage.

[0143] According to an embodiment of the present invention, based on the data anomaly information, analyze the damage information of the product to be inspected, specifically including:

[0144] Obtain historical damage analysis data based on big data, and establish a training set and a test set according to the historical damage analysis data;

[0145] Iteratively train the initial model based on the training set to obtain a training result; determine whether the training result converges;

[0146] If it converges, a damage analysis model is obtained, and based on the damage analysis model, analyze the data anomaly information and output the damage information of the product to be inspected;

[0147] If it does not converge, dynamically adjust the hyperparameters of the damage analysis model based on the test set.

[0148] It should be noted that by continuously training the model with historical data, ensure that the output result of the damage analysis model is closer to the actual result, improve the output accuracy of the damage analysis model, and reduce the damage analysis error.

[0149] The third aspect of the present invention provides a computer-readable storage medium, which includes a program for the automotive coating anti-damage detection method. When the program for the automotive coating anti-damage detection method is executed by a processor, the steps of the automotive coating anti-damage detection method as described in any one of the above are implemented.

[0150] A method and a detection system for detecting anti-damage of an automotive coating disclosed by the present invention obtain the factory parameter information of the automotive coating, and obtain the safety index information based on the factory parameter information of the automotive coating; set the detection environment parameters based on the factory parameter information of the automotive coating, and generate a plurality of detection condition information according to the detection environment parameters; detect the sample to be detected based on the plurality of detection condition information to obtain detection data; compare the detection data with the safety index information to obtain data difference information; analyze the data anomaly information based on the data difference information, analyze the damage information of the sample to be detected based on the data anomaly information, and transmit the damage information to the terminal in real time; by analyzing the factory parameters of the automotive coating, different detection environment parameters are set, so that the anti-damage detection of the automotive coating under different usage environments can be carried out, and the detection flexibility is improved.

[0151] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the couplings, direct couplings, or communication connections between the components shown or discussed may be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0152] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units; they may be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0153] In addition, in each embodiment of the present invention, each functional unit can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in a unit; the above integrated unit can be implemented in the form of hardware, or in the form of a hardware plus a software functional unit.

[0154] Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media that can store program codes such as a removable storage device, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc.

[0155] Alternatively, if the above integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media that can store program codes, such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

Claims

1. A method for detecting damage resistance of automobile coatings, characterized in that: include: Obtaining factory parameter information of automobile coatings, and obtaining safety index information based on the factory parameter information of automobile coatings; Setting the detection environment parameters based on the factory parameter information of the automobile coating, and generating multiple detection condition information according to the detection environment parameters; Testing the sample to be tested based on multiple testing condition information to obtain testing data; Compare the detection data with the safety index information to obtain data difference information, and analyze the data anomaly information based on the data difference information; Analyze the damage information of the inspected product based on data anomaly information and transmit the damage information to the terminal in real time.

2. The method for detecting the damage resistance of automobile coating according to claim 1, characterized in that: Obtain the factory parameter information of the automobile coating, and obtain the safety index information based on the factory parameter information of the automobile coating, including: Obtain the production requirements of automobile models and automobile parts, and obtain the factory parameter information of automobile coatings; Analyze the type, composition and thickness of automotive coatings based on the factory parameter information of automotive coatings; Analyzing the molecular structure and molecular composition of the automobile coating based on the components of the automobile coating, and analyzing the composition ratio of different components of the automobile coating based on the types of the automobile coating; Obtaining physical and chemical properties of the automotive coating according to the type, composition ratio and thickness of the automotive coating, wherein the physical properties include friction properties, fracture properties and hardness properties of the automotive coating, and the chemical properties include corrosion resistance, UV resistance and high temperature resistance; The safety index information corresponding to different types of automotive coatings is analyzed based on the physical and chemical properties of automotive coatings.

3. The method for detecting the damage resistance of automobile coating according to claim 2, characterized in that: The detection environment parameters are set based on the factory parameter information of the automobile coating, and multiple detection condition information is generated according to the detection environment parameters, including: Obtain factory parameter information of automotive coatings and analyze the types, composition ratios and thickness of automotive coatings; Construct the testing environment, set the testing environment parameters based on the factory parameter information of the automotive coating, configure the testing environment, obtain the configuration information, and calculate the parameter matching degree based on the configuration information; Determine whether the parameter matching degree is greater than or equal to a set matching degree threshold; If it is greater than or equal to, a plurality of test condition information is generated according to the configuration information, wherein the test environment parameter information includes corrosion resistance test environment parameters, high temperature resistance test environment parameters and ultraviolet resistance test environment parameters, and the test condition information includes corrosion resistance parameter level, high temperature resistance parameter level and ultraviolet resistance parameter level; If it is less than, adjust the configuration information of the detection environment parameters.

4. The method for detecting the damage resistance of automobile coating according to claim 3, characterized in that: The samples to be tested are tested based on multiple test condition information to obtain test data, including: Obtain corrosion resistance test environment parameters, high temperature resistance test environment parameters and ultraviolet resistance test environment parameters; According to the corrosion resistance test environment parameters, multiple levels of corrosion resistance parameters are set, and the levels of the corrosion resistance parameters are adjusted in sequence to test the corrosion resistance of the automobile coating and obtain the corrosion data of the automobile coating; According to the high temperature resistance test environment parameters, multiple levels of high temperature resistance parameters are set, and the levels of high temperature resistance parameters are adjusted in sequence to test the high temperature resistance of the automobile coating and obtain the high temperature impact data of the automobile coating; According to the UV resistance test environment parameters, multiple levels of UV resistance parameters are set, and the UV resistance levels are adjusted in sequence to test the UV resistance performance of the automotive coating and obtain the UV impact data of the automotive coating; Based on the corrosion data of the automobile coating, the high temperature impact data of the automobile coating and the ultraviolet impact data of the automobile coating, detection data corresponding to multiple detection condition information are obtained.

5. The method for detecting the damage resistance of automobile coating according to claim 4, characterized in that: Analyze data anomaly information based on data difference information, including: Obtain data difference information, compare the data difference information with set difference information, and obtain a data deviation rate; Determine and compare the data deviation rate with a set data deviation rate threshold, wherein the set data deviation rate threshold includes a first data deviation rate threshold and a second data deviation rate threshold, and the first data deviation rate threshold is less than the second data deviation rate threshold; If the data deviation rate is less than or equal to the first data deviation rate threshold, it is determined that the data difference information meets the requirements; If the data deviation rate is greater than a first data deviation rate threshold and less than a second data deviation rate threshold, generating first data anomaly information; If the data deviation rate is greater than or equal to a second data deviation rate threshold, second data anomaly information is generated.

6. The method for detecting the damage resistance of automobile coating according to claim 5, characterized in that: Analyze the damage information of the product to be inspected based on data anomaly information, including: Obtain historical damage analysis data based on big data, and establish training sets and test sets based on the historical damage analysis data; Iteratively train the initial model based on the training set to obtain the training results; Determining whether the training result converges; If convergence occurs, a damage analysis model is obtained, and the data abnormality information is analyzed based on the damage analysis model to output the damage information of the product to be inspected; If it does not converge, the hyperparameters of the damage analysis model are dynamically adjusted based on the test set.

7. An automobile coating damage resistance detection system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a method for detecting damage resistance of automobile coatings, and when the program of the method for detecting damage resistance of automobile coatings is executed by the processor, the following steps are implemented: Obtaining factory parameter information of automobile coatings, and obtaining safety index information based on the factory parameter information of automobile coatings; Setting the detection environment parameters based on the factory parameter information of the automobile coating, and generating multiple detection condition information according to the detection environment parameters; Testing the sample to be tested based on multiple testing condition information to obtain testing data; Compare the detection data with the safety index information to obtain data difference information, and analyze the data anomaly information based on the data difference information; Analyze the damage information of the inspected product based on data anomaly information and transmit the damage information to the terminal in real time.

8. The automobile coating damage resistance detection system according to claim 7, characterized in that: Obtain the factory parameter information of the automobile coating, and obtain the safety index information based on the factory parameter information of the automobile coating, including: Obtain the production requirements of automobile models and automobile parts, and obtain the factory parameter information of automobile coatings; Analyze the type, composition and thickness of automotive coatings based on the factory parameter information of automotive coatings; Analyzing the molecular structure and molecular composition of the automobile coating based on the components of the automobile coating, and analyzing the composition ratio of different components of the automobile coating based on the types of the automobile coating; Obtaining physical and chemical properties of the automotive coating according to the type, composition ratio and thickness of the automotive coating, wherein the physical properties include friction properties, fracture properties and hardness properties of the automotive coating, and the chemical properties include corrosion resistance, UV resistance and high temperature resistance; The safety index information corresponding to different types of automotive coatings is analyzed based on the physical and chemical properties of automotive coatings.

9. The automobile coating damage resistance detection system according to claim 8, characterized in that: The detection environment parameters are set based on the factory parameter information of the automobile coating, and multiple detection condition information is generated according to the detection environment parameters, including: Obtain factory parameter information of automotive coatings and analyze the types, composition ratios and thickness of automotive coatings; Construct the testing environment, set the testing environment parameters based on the factory parameter information of the automotive coating, configure the testing environment, obtain the configuration information, and calculate the parameter matching degree based on the configuration information; Determine whether the parameter matching degree is greater than or equal to a set matching degree threshold; If it is greater than or equal to, a plurality of test condition information is generated according to the configuration information, wherein the test environment parameter information includes corrosion resistance test environment parameters, high temperature resistance test environment parameters and ultraviolet resistance test environment parameters, and the test condition information includes corrosion resistance parameter level, high temperature resistance parameter level and ultraviolet resistance parameter level; If it is less than, adjust the configuration information of the detection environment parameters.

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