Treatment method, device and equipment for corrosion resistance parameters of coating and storage medium

Abstract

The invention provides a coating corrosion resistance parameter processing method and device, equipment and a storage medium. The coating corrosion resistance parameter processing method comprises the following steps: acquiring a coating corrosion resistance parameter set of a to-be-detected sample; determining the weight of each parameter in the coating corrosion resistance parameter set; parameters in the coating corrosion resistance parameter set and weights corresponding to the parameters are sequentially input into a weighting model, processing results corresponding to the parameters are obtained, in the method, principal component analysis is carried out on the parameters in the coating corrosion resistance parameter set, and the processing results corresponding to the parameters are obtained. According to the method, the weight of each parameter in the coating corrosion resistance parameter set is obtained, the randomness of weight assignment is avoided, the scientificity and accuracy of parameter weight distribution are improved, the parameters highly related to the coating corrosion resistance and the weights corresponding to the parameters are input into the weighting model, processing results corresponding to the parameters are obtained, and the processing efficiency is improved. And the accuracy of the parameter processing result is improved.

Description

Technical Field

[0001] This application belongs to the technical field of coating corrosion resistance, and relates to a method for processing coating corrosion resistance parameters, in particular to a method, device, equipment and storage medium for processing coating corrosion resistance parameters. Background Art

[0002] A coating refers to a thin film or covering on the surface of an object, usually formed on the surface of a substrate by physical or chemical methods. The main functions of a coating include protecting the substrate, increasing surface hardness, wear resistance, corrosion resistance, and for aesthetics and decoration. There are many types of coatings, which can be divided into anti-rust coatings, decorative coatings, functional coatings, etc. according to their functions and uses. The corrosion resistance of a coating refers to the ability of the coating to resist corrosion under specific environmental conditions. In some application scenarios, it is of great significance to process the corrosion resistance parameters of the coating. However, there is a lack of a solution for processing the corrosion resistance parameters of the coating in the prior art. Summary of the Invention

[0003] This application provides a method, device, equipment and storage medium for processing coating corrosion resistance parameters, which are used to process the coating corrosion resistance parameters of a sample to be detected.

[0004] In a first aspect, an embodiment of this application provides a method for processing coating corrosion resistance parameters, and the method includes: obtaining a set of coating corrosion resistance parameters of a sample to be detected; determining the weight of each parameter in the set of coating corrosion resistance parameters; and sequentially inputting the parameters in the set of coating corrosion resistance parameters and the weights corresponding to the parameters into a weighted model to obtain the processing result corresponding to the parameter.

[0005] In an implementation manner of the first aspect, the weighted model includes a weighted scoring model, and the processing result includes a weighted scoring result.

[0006] In an implementation manner of the first aspect, the expression corresponding to the weighted scoring model is:

[0007]

[0008] where S represents the weighted scoring result, p i represents the actual measured value of the i-th parameter, k i represents the coefficient corresponding to the actual measured value of the i-th parameter, and c represents a constant.

[0009] In an implementation manner of the first aspect, the obtaining of the set of coating corrosion resistance parameters of the sample to be detected includes: obtaining the original parameter set of the sample to be detected, where the original parameter set includes a plurality of original parameters; performing data processing on the original parameters to obtain the correlation coefficients between the original parameters in pairs; based on the correlation coefficients, performing a data screening operation on the original parameters to obtain the screened set of coating corrosion resistance parameters.

[0010] In an implementation manner of the first aspect, the determining of the weights of the parameters in the set of coating corrosion resistance parameters includes: performing principal component analysis on the parameters in the set of coating corrosion resistance parameters to obtain the eigenvalues and eigenvectors corresponding to the parameters in the set of coating corrosion resistance parameters; based on the eigenvalues and the eigenvectors, determining the vector comprehensive contribution value of the parameters; performing normalization processing on the vector comprehensive contribution value to obtain the weights of the parameters.

[0011] In an implementation manner of the first aspect, the determining of the vector comprehensive contribution value of the parameter based on the eigenvalues and the eigenvectors includes: determining the eigenvectors corresponding to the eigenvalues that match the preset principal component screening conditions as the principal components; based on the eigenvalues and the eigenvectors, determining the vector comprehensive contribution value of the parameter on different principal components.

[0012] The embodiment of the present application provides a method for processing coating corrosion resistance parameters. The method for processing coating corrosion resistance parameters determines the set of coating corrosion resistance parameters of the sample to be detected, where each parameter in the set of coating corrosion resistance parameters is highly correlated with the coating corrosion resistance. By using a non-empirical value method to determine the weights of the parameters, it avoids the randomness of weight assignment, improves the scientificity and accuracy of parameter weight assignment, inputs the parameters highly correlated with the coating corrosion resistance and the corresponding weights into a weighted model, and obtains the processing results corresponding to the parameters, ensuring the accuracy of the processing results of the parameters.

[0013] In a second aspect, the embodiment of the present application provides a device for processing coating corrosion resistance parameters. The device for processing coating corrosion resistance parameters includes: a parameter acquisition module for acquiring the set of coating corrosion resistance parameters of the sample to be detected; a weight determination module for determining the weights of the parameters in the set of coating corrosion resistance parameters; and a weighted scoring module for sequentially inputting the parameters in the set of coating corrosion resistance parameters and the corresponding weights of the parameters into a weighted model to obtain the processing results corresponding to the parameters.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement the method for processing the coating corrosion resistance parameters as described in any one of the first aspects of the embodiments of the present application when executing the computer program.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. It is characterized in that the computer program implements the method for processing the coating corrosion resistance parameters as described in any one of the first aspects of the embodiments of the present application when executed by a processor. Description of the Drawings

[0016] Figure 1A It shows a schematic diagram of an application scenario of the method for processing the coating corrosion resistance parameters provided by an embodiment of the present application.

[0017] Figure 1B It shows a flowchart of the method for processing the coating corrosion resistance parameters provided by an embodiment of the present application.

[0018] Figure 2 It shows a flowchart of obtaining the set of coating corrosion resistance parameters of a sample to be detected provided by an embodiment of the present application.

[0019] Figure 3 It shows a flowchart of determining the weight of each parameter in the set of coating corrosion resistance parameters provided by an embodiment of the present application.

[0020] Figure 4 It shows a flowchart corresponding to the method for processing the coating corrosion resistance parameters provided by an embodiment of the present application.

[0021] Figure 5 It shows a schematic diagram of the device for processing the coating corrosion resistance parameters in an embodiment of the present application.

[0022] Figure 6 It shows a schematic diagram of the structure of the electronic device in an embodiment of the present application.

[0023] Description of Reference Numerals

[0024] Steps S11 to S13

[0025] Steps S21 to S23

[0026] Steps S31 to S33

[0027] 41 Obtain the original parameter set

[0028] 42 Perform data processing on the original parameters

[0029] 43 Determine the correlation coefficient

[0030] 44 Screen and obtain the set of coating corrosion resistance parameters

[0032] 45 Determine the eigenvalue and eigenvector

[0033] 46 Determine the comprehensive contribution value of the vector

[0034] 47 Perform normalization processing to obtain the weight of the coating corrosion resistance parameter

[0036] 48 Input the weighted model

[0037] 49 Obtain the processing result corresponding to the coating corrosion resistance parameter

[0039] 50 Coating corrosion resistance parameter processing device

[0041] 51 Parameter acquisition module

[0042] 52 Weight determination module

[0043] 53 Weighted scoring module

[0044] 60 Electronic device

[0045] 61 Processor

[0046] 62 Non-volatile storage medium

[0047] 63 System bus

[0048] 64 Internal memory

[0049] 65 Network interface Detailed implementation manners

[0050] The following uses specific specific examples to illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation manners, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0051] It should be noted that the illustrations provided in the following embodiments only schematically illustrate the basic concept of the present application. Therefore, only the components related to the present application are shown in the drawings, rather than being drawn according to the number, shape, and size of the components in actual implementation. The form, quantity, and proportion of each component in actual implementation can be arbitrarily changed, and the component layout pattern may also be more complex.

[0052] In the process of processing the coating corrosion resistance parameters in the prior art, there is a lack of a mature method for processing the coating corrosion resistance parameters.

[0053] At least for the above problems, the embodiments of the present application provide a method for processing coating corrosion resistance parameters. The method for processing coating corrosion resistance parameters can obtain a set of coating corrosion resistance parameters of a sample to be detected; determine the weight of each parameter in the set of coating corrosion resistance parameters; and sequentially input the parameters in the set of coating corrosion resistance parameters and the weights corresponding to the parameters into a weighted model to obtain the processing results corresponding to the parameters, which can solve the technical problem of the lack of a mature method for processing coating corrosion resistance parameters in the prior art.

[0054] Figure 1A Shown is a schematic diagram of an application scenario of a method for processing coating corrosion resistance parameters provided by an embodiment of the present application. As Figure 1A shown, the application scenario includes a coating corrosion resistance parameter acquisition system and an electronic device. The coating corrosion resistance parameter acquisition system and the electronic device are communicatively connected. The coating corrosion resistance parameter acquisition system is used to acquire various original parameters related to coating corrosion resistance and send the original parameters related to coating corrosion resistance to the electronic device. A weighted model is deployed in the electronic device. The electronic device is used to process the obtained original parameters, obtain a set of coating corrosion resistance parameters corresponding to the set of original parameters, and determine the weight of each parameter in the set of coating corrosion resistance parameters. And input each parameter in the set of coating corrosion resistance parameters and the weight corresponding to the parameter into the weighted model to obtain the processing result corresponding to the parameter.

[0055] Next, the technical solutions in the embodiments of the present application will be described in detail with reference to the accompanying drawings in the embodiments of the present application.

[0056] Figure 1B Shown is a flowchart of a method for processing coating corrosion resistance parameters provided by an embodiment of the present application. As Figure 1B shown, the method for processing coating corrosion resistance parameters provided by the embodiments of the present application includes the following steps S11 to S13.

[0057] S11, obtain a set of coating corrosion resistance parameters of a sample to be detected.

[0058] Specifically, the set of coating corrosion resistance parameters of the sample to be tested can be obtained by referring to relevant literature materials and past work experience.

[0059] It should be noted that the methods listed above for obtaining the set of coating corrosion resistance parameters of the sample to be tested are only for illustrative purposes. In actual applications, any other suitable method can be selected according to specific application requirements to obtain the set of coating corrosion resistance parameters of the sample to be tested, and this application does not make any restrictions.

[0060] Exemplarily, the data types of the data items in the set of coating corrosion resistance parameters include: various electrochemical parameters in the coating corrosion resistance performance test, dropping test time, salt spray test time, etc.

[0061] It should be noted that the data types of the data items in the set of coating corrosion resistance parameters listed above are only for illustrative purposes. In actual applications, other any suitable data types can also be selected according to specific application requirements, and this application does not make any restrictions.

[0062] S12. Determine the weights of the respective parameters in the set of coating corrosion resistance parameters.

[0063] Exemplarily, the weights of the respective parameters in the set of coating corrosion resistance parameters can be determined based on methods such as the subjective weight assignment method, the objective weight assignment method, and the comprehensive weight assignment method.

[0064] Among them, the subjective weight assignment method includes the Delphi method, the analytic hierarchy process, etc. The objective weight assignment method includes: the entropy weight method, the coefficient of variation method, the principal component analysis method (Principal Component Analysis, PCA), etc. The comprehensive weight assignment method includes the combined weighting method.

[0065] It should be noted that the methods listed above for determining the weights of the respective parameters in the set of coating corrosion resistance parameters are only for illustrative purposes. In actual applications, other any suitable weight determination methods can also be selected according to specific application requirements, and this application does not make any restrictions.

[0066] S13. Input the parameters in the set of coating corrosion resistance parameters and the weights corresponding to the parameters into the weighting model in sequence to obtain the processing results corresponding to the parameters.

[0067] Specifically, the weighting model includes a weighted scoring model, and the processing result includes a weighted scoring result.

[0068] Exemplarily, the expression corresponding to the weighted scoring model is:

[0069]

[0070] Among them, S represents the weighted scoring result, and K i represents the weight of the i-th parameter, and P i represents the test data of the i-th parameter after standardization.

[0071] Specifically, for the convenience of calculation, the expression corresponding to the weighted scoring model can also be:

[0072]

[0073] Among them, S represents the weighted scoring result, and p i represents the actual measured value of the i-th parameter, and k i represents the coefficient corresponding to the actual measured value of the i-th parameter, and c represents a constant. Among them, k i is also the weight of the i-th parameter.

[0074] Inputting the parameter and the weight corresponding to the parameter into the expression of the weighted scoring model, the processing result corresponding to the parameter can be directly obtained. In the expression corresponding to the weighted scoring model, the standardization process is added to the weighted calculation, which simplifies the calculation process and improves the calculation efficiency.

[0075] The method for processing the coating corrosion resistance parameters provided by the embodiments of the present application includes: obtaining a set of coating corrosion resistance parameters of a sample to be detected; determining the weights of the parameters in the set of coating corrosion resistance parameters, avoiding the previous empirical weight assignment to the parameters, reducing the randomness of the weight assignment to the parameters, and improving the scientificity and accuracy of the weight distribution of the parameters; sequentially inputting the parameters in the set of coating corrosion resistance parameters of the sample to be detected and the weights corresponding to the parameters into the weighted model to obtain the processing result corresponding to the parameters, and determining the processing result corresponding to the parameters based on the set of coating corrosion resistance parameters of the sample to be detected and the weights of the parameters in the set of coating corrosion resistance parameters, improving the accuracy of the processing result of the parameters.

[0076] Figure 2 Shown is a flowchart of obtaining a set of coating corrosion resistance parameters of a sample to be detected provided by an embodiment of the present application. As Figure 2 shown, the method for obtaining a set of coating corrosion resistance parameters of a sample to be detected provided by the embodiments of the present application includes the following steps S21 to S23.

[0077] S21, obtaining a set of original parameters of the sample to be detected.

[0078] Among them, the set of original parameters includes multiple original parameters.

[0079] S22, performing data processing on the original parameters to obtain the correlation coefficients between the original parameters in pairs.

[0080] Exemplarily, data processing can be performed on the original parameters by methods such as min-max normalization, Pearson correlation coefficient, Spearman rank correlation coefficient, Kendall rank correlation coefficient, etc., to obtain the correlation coefficients between pairs of the original parameters.

[0081] It should be noted that the methods listed above for performing data processing on the original parameters to obtain the correlation coefficients between pairs of the original parameters are only for illustrative purposes. In actual applications, other suitable methods can be selected according to specific application scenarios to obtain the correlation coefficients between pairs of the original parameters, and the present application does not limit this.

[0082] S23. Based on the correlation coefficients, perform a data screening operation on the original parameters to obtain the set of the screened coating corrosion resistance parameters.

[0083] Specifically, performing a data screening operation on the original parameters based on the correlation coefficients includes: screening out the original parameters with correlation coefficients greater than a preset first threshold. For example, if the preset first threshold is 0.9, then screen out the parameters with pairwise correlation coefficients all greater than 0.9. Among them, when screening out parameters, it is necessary to ensure that the number of screened parameters is as small as possible, and the maximum correlation coefficient between the screened parameters and other unscreened parameters should be relatively large. Screen out the original parameters with correlation coefficients less than a preset second threshold. For example, the preset second threshold can be 0, then when performing a data screening operation on the original parameters, screen out the parameters with correlation coefficients less than 0.

[0084] In addition, performing a data screening operation on the original parameters also includes: calculating the average value of the correlation coefficients between each remaining parameter and other parameters. Screen out the original parameters with the average value of the correlation coefficients with other parameters less than a preset third threshold. For example, if the preset third threshold is 0.3, then screen out the parameters with the average value of the correlation coefficients with other parameters less than 0.3.

[0085] After performing the above data screening operation on the original parameters, the set of the screened coating corrosion resistance parameters is obtained.

[0086] It should be noted that in actual applications, at least one of the above data screening operations can be selected according to specific application scenarios, and the present application does not limit this.

[0087] It should be noted that the specific values of the preset first threshold, preset second threshold, and preset third threshold listed above are only for illustrative purposes. In actual applications, any other suitable values can be selected based on actual application requirements, and the present application does not limit this.

[0088] In the method for obtaining the coating corrosion resistance parameter set of a sample to be detected provided by an embodiment of the present application, by obtaining the original parameter set of the sample to be detected, determining the correlation coefficients between pairs of the original parameters in the original parameter set, and based on the correlation coefficients, performing a data screening operation on the original parameters to obtain the screened coating corrosion resistance parameter set, screening out the original parameters with a correlation coefficient greater than a preset first threshold between the original parameters, and screening out the original parameters with a correlation coefficient less than a preset second threshold, and by calculating the average value of the correlation coefficients between each remaining parameter and other parameters, screening out the original parameters with an average value of the correlation coefficients with other parameters less than a preset third threshold, the effective and rapid screening of the original parameters in the coating corrosion resistance parameter set is realized, the efficiency of the original parameter screening is improved, so that the screened coating corrosion resistance parameter set can accurately reflect the coating corrosion resistance of the sample to be detected, providing an accurate data basis for subsequently determining the processing results corresponding to the parameters based on the various parameters in the coating corrosion resistance parameter set.

[0089] Figure 3 Shown is a flowchart for determining the weights of the various parameters in the coating corrosion resistance parameter set provided by an embodiment of the present application. As Figure 3 shown, the method for determining the weights of the various parameters in the coating corrosion resistance parameter set provided by an embodiment of the present application includes the following steps S31 to S33.

[0090] S31, perform a principal component analysis on the various parameters in the coating corrosion resistance parameter set to obtain the eigenvalues and eigenvectors corresponding to the various parameters in the coating corrosion resistance parameter set.

[0091] S32, based on the eigenvalues and the eigenvectors, determine the vector comprehensive contribution value of the parameter.

[0092] In some embodiments, the determining the vector comprehensive contribution value of the parameter based on the eigenvalues and the eigenvectors includes: determining the eigenvectors corresponding to the eigenvalues that match a preset principal component screening condition as the principal components; based on the eigenvalues and the eigenvectors, determining the vector comprehensive contribution value of the parameter on different principal components.

[0093] Specifically, the preset principal component screening condition is: according to the magnitudes of the eigenvalues, select the eigenvectors corresponding to the largest several eigenvalues as the principal components.

[0094] Among them, the expression for determining the vector comprehensive contribution value of the parameter is:

[0095]

[0096] Among them, i represents the i-th parameter, j is the j-th principal component, k iIt represents the comprehensive contribution value of the vector of the i-th parameter, and also represents the coefficient corresponding to the measured value of the i-th parameter.

[0097] S33, standardize the comprehensive contribution value of the vector to obtain the weight of the parameter.

[0098] Specifically, the expression for obtaining the weight of the parameter by standardizing the comprehensive contribution value of the vector is:

[0099]

[0100] where K i represents the weight of the i-th parameter.

[0101] In the process of determining the weights of the parameters in the set of coating corrosion resistance parameters provided in the embodiments of the present application, by performing principal component analysis on each parameter in the set of coating corrosion resistance parameters, the eigenvalues and eigenvectors corresponding to each parameter in the set of coating corrosion resistance parameters are obtained, which can simplify the data structure, facilitate data analysis, reduce the workload of subsequent data analysis, improve the efficiency of data processing, and based on the eigenvalues and eigenvectors, obtain the comprehensive contribution value of the vector of the parameter, and standardize the comprehensive contribution value of the vector to obtain the weight of the parameter, avoiding the randomness of assigning weights to the parameters, and improving the scientificity and accuracy of assigning weights to the parameters.

[0102] As Figure 4 shown, an embodiment of the present application also provides a flowchart corresponding to a method for processing coating corrosion resistance parameters. As Figure 4 shown, the flowchart corresponding to the method for processing coating corrosion resistance parameters includes: obtaining the original parameter set 41, performing data processing on the original parameters 42, determining the correlation coefficient 43, screening to obtain the set of coating corrosion resistance parameters 44, determining the eigenvalues and eigenvectors 45, determining the comprehensive contribution value of the vector 46, standardizing to obtain the weight of the coating corrosion resistance parameter 47, inputting into the weighted model 48, and obtaining the processing result corresponding to the coating corrosion resistance parameter 49. Among them, the specific processes and steps in Figure 4 have been described in detail in the above Figures 1B to 3 , and the present application will not repeat them here.

[0103] This application also provides an embodiment corresponding to a method for processing the corrosion resistance parameters of a coating. Among them, the original parameter set includes 9 data types, namely: 1) Initial open circuit potential / V; 2) Difference in open circuit potential at 400 s / V: The difference between the open circuit potential at 400 seconds and the initial moment; 3) Corrosion potential / V; 4) Capacitance arc radius / Ω; 5) Logarithm of impedance modulus (measured at 0.01 Hz); 6) Negative logarithm of self-corrosion current density (A / cm²); 7) Negative logarithm of passive current density (A / cm²); 8) Passivation interval width / V; 9) Blue point test time / s (tested in accordance with GB / T - 25150 - 2010). And the original data corresponding to the above 9 parameter types are shown in Table 1 below.

[0104] Table 1 Original data table

[0105]

[0106]

[0107] Perform data processing on the data in the above original data table, and determine the correlation coefficients between every two original data in the original data. The correlation coefficient matrix corresponding to the correlation coefficients between every two original data in the original data is shown in Table 2.

[0108] Table 2 Correlation coefficient matrix

[0109]

[0110] Perform data screening on the original data in turn according to the steps of performing data screening operations based on the original parameters. Among them, the internal correlation coefficients of the original parameter groups 6 - 7 - 9 and 3 - 9 are both greater than 0.9. Any two of 6, 7, and 9 are strongly correlated, and two of them need to be removed. Remove 9, and then remove one of 6 and 7, which can minimize the number of removed parameters. Here, retain the more important and easier-to-measure parameter 6, and remove parameters 7 and 9. In this way, there are no longer parameter pairs with a correlation coefficient greater than 0.9.

[0111] After the above two steps, the average value of the correlation coefficients between parameter 2 and other parameters is 0.2895, which is less than 0.3. Remove parameter 2. The average value of the correlation coefficients between parameter 8 and the other eight parameters is negative, so remove it, and retain parameters 1, 3, 4, 5, 6.

[0112] Perform principal component analysis on these 5 parameters and their measured values after standardization, and calculate the eigenvalues (Table 3) and eigenvectors (Table 4). Calculate the comprehensive contribution value of the vectors on the first 2 principal components, and standardize it as the weight.

[0113] Table 3 Eigenvalues

[0114]

[0115] Table 4 Feature Vector

[0116]

[0117]

[0118] The corrosion resistance performance is evaluated based on the filtered parameter set. Here, the corrosion resistance ability of the sample is represented by the weighted calculation score. The comparison table of the empirical assignment weights before screening, the weights converted proportionally after screening, and the weight values finally calculated by principal component analysis (PCA) is shown in Table 5.

[0119] Comparison Table of Weight Values

[0120]

[0121] As can be seen from Table 5, when the parameters are deleted, the weight ratio among the remaining parameters (parameters 1, 3, 4, 5, 6) remains unchanged. After calculation by PCA, there are obvious differences between the calculated weight values and the empirical assignments. The comparison with the evaluation score results of the complete parameter set is listed in the following table. The scores in the table range from 0 to 1, representing the worst and the best respectively.

[0122] As listed in Table 6, there are certain changes in the scoring values of each sample, but the scoring rankings are exactly the same. This verifies the improvement and rationality of the weight calculation.

[0123] Comparison of Weighted Scores Based on Two Kinds of Weights

[0124]

[0125] Input the parameters in the coating corrosion resistance parameter set and the corresponding weights into the weighted scoring model. As shown in Table 7, the coefficient values of the expression corresponding to the weighted scoring model are obtained.

[0126] Coefficient Values in the Expression Corresponding to the Weighted Scoring Model

[0127]

[0128] Based on the coefficient values in the expression corresponding to the weighted scoring model in Table 7, the processing results corresponding to the parameters in the coating corrosion resistance parameter set can be obtained.

[0129] It should be noted that the embodiments of the processing method of the coating corrosion resistance parameters based on 9 parameter types listed in the above embodiments are only used for exemplary illustration. In actual applications, any other number of parameters can be selected according to specific application requirements for the processing of the coating corrosion resistance parameters, and this application does not limit this.

[0130] The protection scope of the method for processing the coating corrosion resistance parameters in the embodiments of the present application is not limited to the execution order of the steps listed in this embodiment. Any solution achieved by adding or reducing steps of the prior art and replacing steps according to the principle of the present application is included in the protection scope of the present application.

[0131] The embodiments of the present application further provide a device for processing coating corrosion resistance parameters. The device for processing coating corrosion resistance parameters can implement the method for processing coating corrosion resistance parameters of the present application. However, the implementation devices of the method for processing coating corrosion resistance parameters of the present application include but are not limited to the structure of the device for processing coating corrosion resistance parameters listed in this embodiment. Any structural deformation and replacement of the prior art according to the principle of the present application are included in the protection scope of the present application.

[0132] As Figure 5 shown, in one embodiment, the device 50 for processing coating corrosion resistance parameters of the present application includes a parameter acquisition module 51, a weight determination module 52, and a weighted scoring module 53.

[0133] The parameter acquisition module 51 is used to acquire a set of coating corrosion resistance parameters of a sample to be detected.

[0134] The weight determination module 52 is used to determine the weight of each parameter in the set of coating corrosion resistance parameters.

[0135] The weighted scoring module 53 is used to sequentially input the parameters in the set of coating corrosion resistance parameters and the weights corresponding to the parameters into a weighted model to obtain a processing result corresponding to the parameter. The weighted model includes a weighted scoring model, and the processing result includes a weighted scoring result.

[0136] Among them, the structures and principles of the parameter acquisition module 51, the weight determination module 52, and the weighted scoring module 53 correspond one by one to the steps in the above method for processing coating corrosion resistance parameters, so they will not be elaborated here.

[0137] In several embodiments provided by the present application, it should be understood that the disclosed device or method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules / units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of devices or modules or units can be in an electrical, mechanical or other form.

[0138] The modules / units described as separate components may or may not be physically separated. The components shown as modules / units may or may not be physical modules, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules / units can be selected according to actual needs to achieve the objectives of the embodiments of the present application. For example, in various embodiments of the present application, each functional module / unit can be integrated into a processing module, or each module / unit can exist physically alone, or two or more modules / units can be integrated into one module / unit.

[0139] Those of ordinary skill in the art should also be able to further realize that the units and steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0140] The embodiments of the present application also provide a computer-readable storage medium. Those of ordinary skill in the art can understand that all or part of the steps in the methods of the above embodiments can be completed by instructing a processor through a program. The program can be stored in a computer-readable storage medium. The storage medium is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disc, and any combination thereof. The above storage medium can be any available medium accessible by a computer or a data storage device such as a server or a data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a digital video disc (DVD)), or a semiconductor medium (such as a solid-state disk (SSD)).

[0141] The embodiments of the present application also provide an electronic device. Figure 6 Shown is a schematic structural diagram of an electronic device 60 in an embodiment of the present application. The method for processing the coating corrosion resistance parameters provided by the embodiments of the present application can be applied to Figure 6 the electronic device 60 shown, but not limited thereto. As Figure 6As shown, the electronic device 60 includes a processor 61, a memory, a system bus 63, and a network interface 66. Among them, the memory may include a non-volatile storage medium 62 and an internal memory 66.

[0142] The non-volatile storage medium 62 can store an operating system and computer programs. The computer programs include program instructions that, when executed, can cause the processor to execute any one of the coating corrosion resistance parameter processing methods provided in the embodiments of the present application.

[0143] The processor is used to provide computing and control capabilities to support the operation of the entire computer device.

[0144] The internal memory 66 provides an environment for the operation of the computer programs in the non-volatile storage medium. When the computer programs are executed by the processor, the processor can be caused to execute any one of the coating corrosion resistance parameter processing methods provided in the embodiments of the present application.

[0145] The network interface 66 is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand that Figure 1A the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0146] It should be understood that the processor 61 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0147] The electronic device 60 in the embodiments of the present application may be included in terminal devices such as tablet computers, laptop computers, mobile phones, supercomputers, smart wearable devices, etc., and may also be applied to databases, servers, and service response systems based on terminal artificial intelligence. The embodiments of the present application do not impose any restrictions on the specific type of the electronic device.

[0148] For example, the electronic device can be a station (STAION, ST) in a WLAN, and can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a handheld device with wireless communication functions, a computing device, or other processing devices connected to a wireless modem, a computer, a laptop computer, a handheld communication device, a handheld computing device, and / or other devices for communicating on a wireless system, as well as next-generation communication systems, such as mobile terminals in a 6G network, mobile terminals in a future evolved Public Land Mobile Network (PLMN), or mobile terminals in a future evolved Non-terrestrial Network (NTN), etc.

[0149] By way of example and not limitation, when the electronic device is a wearable device, the wearable device can also be a general term for devices that apply wearable technology to the intelligent design of daily wear and develop wearable devices, such as gloves, watches, etc. equipped with a near-field communication module. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. By attaching to the user's body and using a pre-bound electronic card, it can perform operations such as payment and authentication. A wearable device is not just a hardware device, but also realizes powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable intelligent devices include those with complete functions and large sizes that can realize complete or partial functions without relying on a smartphone, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to cooperate with other devices such as smartphones, such as various smart watches and smart bracelets with a display screen.

[0150] The descriptions of the processes or structures corresponding to the above respective figures each have their own focuses. For parts not detailed in a certain process or structure, reference can be made to the relevant descriptions of other processes or structures.

[0151] The above embodiments are only illustrative of the principles and effects of the present application and are not intended to limit the present application. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed in the present application should still be covered by the claims of the present application.

Claims

1. A method for processing coating corrosion resistance parameters, characterized in that: The method comprises: Obtaining a set of coating corrosion resistance parameters of a sample to be tested; Determining the weight of each parameter in the coating corrosion resistance parameter set; The parameters in the coating corrosion resistance parameter set and the weights corresponding to the parameters are sequentially input into the weighted model to obtain processing results corresponding to the parameters.

2. The method for processing coating corrosion resistance parameters according to claim 1, characterized in that: The weighted model includes a weighted scoring model, and the processing result includes a weighted scoring result.

3. The method for processing coating corrosion resistance parameters according to claim 2, characterized in that: The expression corresponding to the weighted scoring model is: Among them, S represents the weighted scoring result, p i represents the actual measured value of the i-th parameter, k i represents the coefficient corresponding to the actual measured value of the i-th parameter, and c represents a constant.

4. The method for processing coating corrosion resistance parameters according to claim 1, characterized in that: The step of obtaining a set of coating corrosion resistance parameters of the sample to be tested includes: Acquire an original parameter set of a sample to be detected, wherein the original parameter set includes a plurality of original parameters; Performing data processing on the original parameters to obtain correlation coefficients between any two of the original parameters; Based on the correlation coefficient, a data screening operation is performed on the original parameters to obtain a screened set of coating corrosion resistance parameters.

5. The method for processing coating corrosion resistance parameters according to claim 1, characterized in that: Determining the weight of each parameter in the coating corrosion resistance parameter set includes: Performing principal component analysis on each parameter in the coating corrosion resistance parameter set to obtain eigenvalues ​​and eigenvectors corresponding to each parameter in the coating corrosion resistance parameter set; Determining a vector comprehensive contribution value of the parameter based on the eigenvalue and the eigenvector; The vector comprehensive contribution value is normalized to obtain the weight of the parameter.

6. The method for processing coating corrosion resistance parameters according to claim 5, characterized in that: The determining the comprehensive contribution value of the parameter vector based on the eigenvalue and the eigenvector includes: Determine the eigenvector corresponding to the eigenvalue matching the preset principal component screening condition as the principal component; Based on the eigenvalues ​​and the eigenvectors, vector comprehensive contribution values ​​of the parameters on different principal components are determined.

7. A device for processing coating corrosion resistance parameters, characterized in that: include: A parameter acquisition module, used to obtain a set of coating corrosion resistance parameters of the sample to be tested; A weight determination module, used to determine the weight of each parameter in the coating corrosion resistance parameter set; The weighted scoring module is used to input the parameters in the coating corrosion resistance parameter set and the weights corresponding to the parameters into the weighted model in sequence to obtain the processing results corresponding to the parameters.

8. The device for processing coating corrosion resistance parameters according to claim 7, characterized in that: The weighted model includes a weighted scoring model, and the processing result includes a weighted scoring result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for processing the corrosion resistance parameters of the coating according to any one of claims 1 to 6 is implemented.

10. An electronic device, characterized in that: The electronic device comprises: A memory storing a computer program; A processor is communicatively connected to the memory, and executes the method for processing the corrosion resistance parameters of the coating according to any one of claims 1 to 6 when calling the computer program.

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