Vehicle corrosion management method, device, equipment, medium and product

Abstract

The invention discloses a vehicle corrosion management method, device and equipment, a medium and a product, and relates to the field of supervision and management. The method comprises the following steps: acquiring information data of a to-be-tested project vehicle; based on a preset mapping relation, determining initial material process data according to the anticorrosion grade; performing parameter mapping matching with a preset applicable parameter range according to the target environment parameter, and determining a risk parameter; determining a virtual corrosion level according to the risk parameters and the initial material process data; judging whether to adjust the material process data or not according to the virtual corrosion level and the anti-corrosion level, and if yes, performing ascending modification according to the position serial number of the initial material process data in a set anti-corrosion process library based on the anti-corrosion level according to the anti-corrosion level; and if not, determining management information based on the risk tracing result information. The management information is used for representing the corrosion resistance of the project vehicle to be tested. Through precise positioning of anticorrosion management, the technology is adjusted, and the anticorrosion performance is improved.

Description

Technical Field

[0001] The present application relates to the field of supervision and management, and particularly to a vehicle corrosion management method, device, equipment, medium and product. Background Art

[0002] Anti-corrosion engineers conduct automotive corrosion management and formulate automotive corrosion resistance strategies for target markets or new vehicle models. Generally, based on the existing vehicle anti-corrosion designs, they adopt a method of combining one or several parameters of the corrosion resistance years and environmental corrosion. The higher the environmental corrosion intensity, the higher the anti-corrosion performance requirements for components and the whole vehicle. However, this anti-corrosion management method has few reference parameters, which may mislead the material selection, surface protection, and structural design of automotive metal components. Especially in unknown markets, during the service process, it is extremely vulnerable to the environmental characteristics and environmental corrosion in the service environment, resulting in the anti-corrosion performance of automotive materials and processes being unable to meet the requirements of automotive corrosion management.

[0003] The currently commonly used verification parameters for materials and processes are environmental corrosion intensity, mainly including static corrosion intensity, dynamic corrosion intensity, etc. Due to the large differences in corrosion parameters in each target market, and under the environment of the same corrosion intensity, the vehicle may malfunction due to other environmental parameters such as humidity heat and dry heat. If the corrosion management in the early design stage is not comprehensive, it may lead to the anti-corrosion level setting of automotive products being unable to effectively cover the market, resulting in safety problems caused by vehicle quality, and triggering feedback and recalls. The richer the environmental characteristic data fields, the clearer the automotive corrosion management and positioning for the target market, which is conducive to improving the corrosion resistance of automotive products in the target market, especially in unknown markets.

[0004] Therefore, how to achieve accurate positioning of anti-corrosion management to adjust the process and improve the anti-corrosion performance is crucial. Summary of the Invention

[0005] The purpose of the present application is to provide a vehicle corrosion management method, device, equipment, medium and product, which can achieve accurate positioning of anti-corrosion management to adjust the process and improve the anti-corrosion performance.

[0006] To achieve the above purpose, the present application provides the following solutions: In the first aspect, the present application provides a vehicle corrosion management method, including: Obtaining information data of a vehicle to be tested; the information data includes: anti-corrosion level and target environmental parameters; the anti-corrosion level is the preset number of years corresponding to vehicle corrosion; Determining initial material process data based on a preset mapping relationship according to the anti-corrosion level; Performing parameter mapping matching on the target environmental parameters with the range of preset applicable parameters to determine risk parameters; the risk parameters are the target environmental parameters within the range of the preset applicable parameters; Determine a virtual corrosion level based on the risk parameters and initial material process data; the virtual corrosion level is the predicted number of years corresponding to vehicle corrosion. Judge whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level, and obtain a judgment result. If the judgment result is yes, based on the anti-corrosion level, modify the initial material process data in ascending order according to the position serial number in the set anti-corrosion process library. If the judgment result is no, determine management information based on the risk traceability result information; the management information is used to characterize the corrosion resistance of the vehicle to be tested; the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

[0007] Optionally, judging whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level, and obtaining a judgment result specifically includes: Compare and verify the virtual corrosion level and the anti-corrosion level to obtain a verification result. Judge whether to adjust the material process data according to the verification result, and obtain a judgment result.

[0008] Optionally, the material process data includes: material type and material thickness; the material types include: phosphating layer, plating layer, coating layer, and sealing.

[0009] Optionally, the target environmental parameters include: damp heat, dry heat, mildew, condensation, sand and dust, haze, frost, snowfall days, precipitation, irradiance, atmospheric corrosion, static corrosion, dynamic corrosion, sea salt corrosion, snow melting salt corrosion, and marine transportation corrosion.

[0010] Optionally, the risk traceability result information includes: feedback rate, failure rate, and problem rate.

[0011] In a second aspect, the present application provides a vehicle corrosion management device, which includes: a management input end, a material process module, an environmental analysis module, a verification and traceability module, and a management terminal; The management input end is respectively connected to the material process module and the environmental analysis module; the verification and traceability module is respectively connected to the material process module and the environmental analysis module; the verification and traceability module is also connected to the management terminal; The management input end is used to obtain information data of the vehicle to be tested; the information data includes: anti-corrosion level and target environmental parameters; the anti-corrosion level is the preset number of years corresponding to vehicle corrosion. The material process module is used to determine initial material process data according to the anti-corrosion level based on a preset mapping relationship. The environmental analysis module is used to perform parameter mapping and matching with the range of preset applicable parameters according to the target environmental parameters to determine risk parameters; the risk parameters are the target environmental parameters within the range of the preset applicable parameters. The verification and traceability module is used for: Determining a virtual corrosion level based on the risk parameters and initial material process data; the virtual corrosion level is the predicted number of years corresponding to vehicle corrosion. Comparing and verifying the virtual corrosion level with the anti-corrosion level to obtain a verification result. Judging whether to adjust the material process data according to the verification result to obtain a judgment result. If the judgment result is yes, based on the anti-corrosion level, ascending modification is performed according to the position serial number of the initial material process data in the set anti-corrosion process library. The management terminal is used to determine management information based on the risk traceability result information when the judgment result is no; the management information is used to characterize the corrosion resistance of the vehicle to be tested; the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

[0012] Optionally, the verification and traceability module includes: a corrosion verification module and a traceability module. The corrosion verification module is respectively connected to the material process module and the environmental analysis module; the traceability module is respectively connected to the corrosion verification module and the management terminal. The corrosion verification module is used for: Determining a virtual corrosion level based on the risk parameters and initial material process data; the virtual corrosion level is the predicted number of years corresponding to vehicle corrosion. Comparing and verifying the virtual corrosion level with the anti-corrosion level to obtain a verification result. The traceability module is used for: Judging whether to adjust the material process data according to the verification result to obtain a judgment result. When the judgment result is yes, based on the anti-corrosion level, ascending modification is performed according to the position serial number of the initial material process data in the set anti-corrosion process library. When the judgment result is no, risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

[0013] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the vehicle corrosion management method described above.

[0014] Fourthly, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the vehicle corrosion management method described above is implemented.

[0015] Fifthly, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, the vehicle corrosion management method described above is implemented.

[0016] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application: The present application provides a vehicle corrosion management method, device, equipment, medium and product. By obtaining the information data of the vehicle to be tested, and then based on the preset mapping relationship, determining the initial material process data according to the anti-corrosion level and according to the target environmental parameters, performing parameter mapping matching with the range of preset applicable parameters to determine the risk parameters. Through the preset mapping relationship and parameter mapping matching, the accurate positioning of the material process data and the risk parameters is realized. By the risk parameters and the initial material process data, determining the virtual corrosion level, and judging whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level, and then ascendingly modifying according to the position serial number of the initial material process data in the set anti-corrosion process library to adjust the process and improve the anti-corrosion performance. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0018] Figure 1 It is a flowchart of the vehicle corrosion management method; Figure 2 It is a schematic diagram of the technical concept of vehicle corrosion management in practical applications; Figure 3 It is a schematic diagram of the relationship between material types and anti-corrosion levels; Figure 4 It is a structural diagram of the vehicle corrosion management device; Figure 5 It is a schematic structural diagram of a computer device provided by an embodiment of the present application. Detailed Embodiments

[0019] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying 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. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0020] In view of the problems existing in the prior art, it is necessary to optimize the anti-corrosion effect and verification efficiency of automotive materials and processes. By enriching the basic data and screening fields, the corrosion verification path is adjusted based on the existing automotive anti-corrosion path, that is, selecting the anti-corrosion level according to the environmental corrosion intensity and adjusting the process according to the corrosion test, so as to achieve the precise positioning of anti-corrosion management in the target environment, analyze the environmental and material corrosion risks, and trace the corrosion phenomenon to ensure the consistency of the automotive anti-corrosion level and the actual anti-corrosion life.

[0021] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] In an exemplary embodiment, as Figure 1 shown, a vehicle corrosion management method is provided. The vehicle corrosion management method includes: Step 100: Obtain the information data of the vehicle to be tested. The information data includes: the anti-corrosion level and the target environment parameters; the anti-corrosion level is the preset number of years corresponding to the vehicle corrosion.

[0023] Step 200: Based on the preset mapping relationship, determine the initial material process data according to the anti-corrosion level.

[0024] Among them, the material process data includes: the material type and the material thickness; the material type includes: phosphating layer, plating layer, coating layer, and sealing.

[0025] Step 300: According to the target environment parameters, perform parameter mapping and matching with the range of preset applicable parameters to determine the risk parameters. The risk parameters are the target environment parameters within the range of the preset applicable parameters.

[0026] Among them, the target environment parameters include: damp heat, dry heat, mildew, condensation, sand and dust, haze, ice and frost, snowfall days, precipitation, irradiance, atmospheric corrosion, static corrosion, dynamic corrosion, sea salt corrosion, snow melting salt corrosion, and marine transportation corrosion.

[0027] Step 400: Determine the virtual corrosion level according to the risk parameters and the initial material process data. The virtual corrosion level is the predicted number of years corresponding to the vehicle corrosion.

[0028] Step 500: Determine whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level, and obtain a judgment result.

[0029] Step 600: If the judgment result is yes, based on the anti-corrosion level, modify the initial material process data in ascending order according to the position serial number in the set anti-corrosion process library.

[0030] Step 700: If the judgment result is no, determine the management information based on the risk traceability result information. The management information is used to characterize the corrosion resistance of the vehicle to be tested; the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

[0031] Among them, the risk traceability result information includes: feedback rate, failure rate, and problem rate.

[0032] In one embodiment, determining whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level, and obtaining a judgment result specifically includes: Compare and verify the virtual corrosion level and the anti-corrosion level to obtain a verification result; determine whether to adjust the material process data according to the verification result, and obtain a judgment result.

[0033] In an exemplary embodiment, as Figure 4 shown, a vehicle corrosion management device includes: a management input end, a material process module, an environment analysis module, a verification and traceability module, and a management terminal.

[0034] The management input end is respectively connected to the material process module and the environment analysis module; the verification and traceability module is respectively connected to the material process module and the environment analysis module; the verification and traceability module is also connected to the management terminal.

[0035] The management input end is used to obtain the information data of the vehicle to be tested; the information data includes: anti-corrosion level and target environment parameters; the anti-corrosion level is the preset number of years corresponding to the vehicle corrosion.

[0036] The material process module is used to determine the initial material process data based on the preset mapping relationship according to the anti-corrosion level.

[0037] The environment analysis module is used to perform parameter mapping and matching on the target environment parameters with the range of preset applicable parameters to determine the risk parameters; the risk parameters are the target environment parameters within the range of the preset applicable parameters.

[0038] The verification and traceability module is used to determine the virtual corrosion level according to the risk parameters and the initial material process data; the virtual corrosion level is the predicted number of years corresponding to the vehicle corrosion.

[0039] The verification and traceability module is used to compare and verify the virtual corrosion level with the anti-corrosion level to obtain a verification result.

[0040] The verification and traceability module is used to determine whether to adjust the material process data according to the verification result to obtain a judgment result; if the judgment result is yes, based on the anti-corrosion level, the initial material process data is modified in ascending order according to the position number in the set anti-corrosion process library.

[0041] The management terminal is used to determine management information based on the risk traceability result information when the judgment result is no; the management information is used to characterize the corrosion resistance of the vehicle to be tested; the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

[0042] Among them, the verification and traceability module includes: a corrosion verification module and a traceability module.

[0043] The corrosion verification module is respectively connected to the material process module and the environmental analysis module; the traceability module is respectively connected to the corrosion verification module and the management terminal.

[0044] The corrosion verification module is used to determine the virtual corrosion level according to the risk parameters and the initial material process data; the virtual corrosion level is the predicted number of years corresponding to the vehicle corrosion.

[0045] The corrosion verification module is used to compare and verify the virtual corrosion level with the anti-corrosion level to obtain a verification result.

[0046] The traceability module is used to determine whether to adjust the material process data according to the verification result to obtain a judgment result; when the judgment result is yes, based on the anti-corrosion level, the initial material process data is modified in ascending order according to the position number in the set anti-corrosion process library; when the judgment result is no, the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

[0047] In practical applications, the technical concept is shown in Figure 2 . Four anti-corrosion levels such as 3 years / 6 years / 12 years / 20 years can be established based on the management input end, a target market can be established, and target environmental parameters can be determined.

[0048] The material process module maps the starting material process according to the anti-corrosion level input by the management input end to obtain the initial material process data, or adjusts the material process data according to the information of the material process library established by modifying the risk traceability module (i.e., the traceability module).

[0049] The environmental risk module (i.e., the environmental analysis module): inputs the target market from the management input end, reads the environmental project parameters, i.e., the target environmental parameters, performs applicability matching, and outputs risk parameters.

[0050] Corrosion Verification Module: Based on the established material process data combined with the parameters of the risk items, that is, according to the risk parameters and the initial material process data, the verification model is used to output the virtual corrosion level, and then compared with the anti-corrosion level to output the verification result. The verification model is a preset model stored in the verification model library. The verification model is a called model determined according to the predefined mapping relationship, as shown in Table 1.

[0051] Risk Tracing Module (i.e., Tracing Module): Determine the judgment result according to the verification result, and then feedback it to the material process module or the management terminal.

[0052] Among them, both the anti-corrosion level and the virtual corrosion level characterize the fastest years of corrosion occurrence in the material process.

[0053] The anti-corrosion level and the target environment parameters are input at the management input end. The material process data includes material type and material thickness. The material types include phosphating layer, plating layer, coating, sealing, etc. The anti-corrosion process library is sorted in ascending order of the anti-corrosion level. Among them, for the relationship between the material type and the anti-corrosion level, see Figure 3 .

[0054] The target environment parameters include: damp heat, dry heat, mildew, condensation, sand and dust, haze, frost, snowfall days, precipitation, irradiance (global horizontal irradiance), atmospheric corrosion, static corrosion, dynamic corrosion, sea salt corrosion, snow melting salt corrosion (Cl distribution during snowfall period), marine corrosion. The risk items that meet the applicable parameter range are fed back to the corrosion verification module. The environmental analysis module is used to perform parameter mapping and matching between the target environment parameters and the preset applicable parameter range to determine the risk parameters. Specifically, the environmental analysis module follows the following steps: - According to the input target environment, read the parameters corresponding to the target environment from the environmental database, that is, read the target environment parameters. Perform mapping and matching between the target environment parameters and the preset applicable parameters. If it is within the preset applicable parameter range, it is a risk item, and the parameters corresponding to all risk items are determined as risk parameters.

[0055] The risk items are respectively recorded as

[0056] , and the verification models with mapped associations are read from the verification model library for the risk items; for example: the verification model corresponding to the th risk item outputs the virtual corrosion level. If the virtual corrosion level is less than the anti-corrosion level, then .

[0057] For all risk items, the risk parameters and the corresponding material process data need to be fed back to the tracing module.

[0058] Output the sum of all risk items , if , transmit the corresponding material process data, risk parameters, and virtual corrosion level to the traceability module.

[0059] The traceability module modifies the material process data of the anti-corrosion process in ascending order according to the corrosion level, that is, the anti-corrosion level; if , determine the risk traceability result information based on the corrosion data in the vehicle corrosion database and feedback it to the management terminal. The determination of the risk traceability result information specifically includes: Read the corrosion data of the vehicle, including feedback data, recall data, in-vehicle corrosion data, and other data that may cause corrosion. The feedback data includes the feedback rate, the recall data includes the failure rate, and the in-vehicle corrosion data and other data that may cause corrosion include the problem rate. Summarize the above data into the risk traceability result.

[0060] The fields at the management terminal include the established target market, established anti-corrosion level, established material process, environmental risk, risk item, virtual anti-corrosion level of the risk item, , feedback rate, failure rate, problem rate.

[0061] Table 1 Mapping Table

[0062] For a certain overseas arid area as the target environment, it provides a solution path to verify whether the exported vehicle models can meet the anti-corrosion quality requirements of the target environment.

[0063] Establish a 6-year anti-corrosion level at the management input end. Six years is the fastest year for the material process to corrode. Establish a certain overseas area as the target market.

[0064] The material process module maps the starting material process to the galvanized anti-corrosion process according to the anti-corrosion level input at the management input end, or modifies the established material process according to the risk traceability module.

[0065] The environmental risk module (environmental analysis module) inputs the target market from the management input end, reads the environmental project parameters, performs applicability matching, and outputs the risk items.

[0066] Corrosion verification module: The established material process data, combined with the risk parameters corresponding to the risk items, outputs the virtual corrosion level according to the verification model, compares it with the anti-corrosion level, and outputs the result.

[0067] Risk traceability module: According to the result, feedback it to the material process module or the management terminal.

[0068] Management terminal: If the virtual corrosion level of all risk items is greater than the anti-corrosion level, output the management result.

[0069] The management input end inputs an anti-corrosion level of 6 years and the target environment is a coastal environment overseas. The anti-corrosion level reads anti-corrosion processes including galvanized anti-corrosion process and zinc-aluminum coating anti-corrosion process. The verified risk item virtual corrosion level needs to be greater than 6 years. The target environment is used to read environmental item data under this target environment.

[0070] Material process data, the material types include galvanized layer and zinc-aluminum coating. The thickness of the galvanized layer is 5μm - 12μm, and the thickness of the zinc-aluminum coating is 15μm - 25μm. Sort in ascending order according to the process type and thickness data. As the thickness of the galvanized layer and the zinc-aluminum coating increases, the anti-corrosion level improves, and the anti-corrosion level of the galvanized layer is lower than that of the zinc-aluminum coating. That is: galvanized layer 5μm < galvanized layer 12μm < zinc-aluminum coating 15μm < zinc-aluminum coating 25μm. Establish the anti-corrosion process information as shown in Table 2.

[0071] Table 2 Establishment of anti-corrosion process and anti-corrosion level table

[0072] The environmental risk module, the environmental items in a coastal environment overseas include: damp heat, dry heat, mildew, condensation, sand and dust, haze, frost, snowfall days, precipitation, irradiance (global horizontal irradiance), atmospheric corrosion, static corrosion, dynamic corrosion, sea salt corrosion, and marine transportation corrosion. The risk items that meet the applicable parameter range are fed back to the corrosion verification module. The corrosion verification module includes reading the model database and model output verification. As shown in Table 3.

[0073] Table 3 Parameter mapping and model determination relationship table for target environment parameters

[0074] Regarding the corrosion verification results of the 12μm galvanized layer, see Table 4.

[0075] Table 4 Corrosion verification table for 12μm galvanized layer

[0076] The risk traceability results are shown in Table 5 below.

[0077] Table 5 Risk traceability result table for 12μm galvanized layer

[0078] Output the sum of all risk items The risk traceability results are fed back to the material process module, and the anti-corrosion process is modified in ascending order of corrosion level. According to the anti-corrosion level order, the one with a higher anti-corrosion level than the 12μm galvanized layer is the 15μm zinc-aluminum coating. The modification of the material process is shown in Table 6.

[0079] Table 6 Material process module modifies material process table

[0080] The material process module reads the anti-corrosion process library, sorts it in ascending order of anti-corrosion level, and establishes a new anti-corrosion process, that is, modifies the initial material process data, namely, the zinc-aluminum coating is 15μm, but the anti-corrosion level remains unchanged for 6 years. That is, modify it in ascending order according to the position serial number of the initial material process data in the set anti-corrosion process library.

[0081] The target environmental parameters in the environmental analysis module remain unchanged.

[0082] Based on the verification model, the corrosion verification module determines the virtual anti-corrosion level according to the initial material process data combined with the risk parameters, as shown in Table 7.

[0083] Table 7 Corrosion Verification Table for Zinc-Aluminum Coating (15μm)

[0084] The risk traceability result table for zinc-aluminum coating of 15μm is shown in Table 8.

[0085] Table 8 Risk Traceability Result Table for Zinc-Aluminum Coating of 15μm

[0086] The fields corresponding to the management information determined by the management terminal are shown in Table 9.

[0087] Table 9 Management Terminal Field Table

[0088] For the anti-corrosion process verification result of the zinc-aluminum coating of 15μm, the virtual anti-corrosion level is greater than the established anti-corrosion level, and the established anti-corrosion process and anti-corrosion level meet the anti-corrosion quality requirements of automobiles in the target market.

[0089] This application innovatively designs a vehicle corrosion management or supervision path. For example, when an automotive product enters a new market, the anti-corrosion strategy formulation path of the automobile is optimized through data such as anti-corrosion level, environmental risk, and material process parameters. The combination of automotive and component design data and external market performance data reduces the probability of corrosion of the automobile in the target market.

[0090] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 5As shown in the figure. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store vehicle corrosion management data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements the vehicle corrosion management method.

[0091] Those skilled in the art can understand that Figure 5 the structure shown in the figure is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this 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.

[0092] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0093] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0094] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0095] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0096] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memories can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0097] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0098] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0099] In this article, specific examples are used to illustrate the principle and implementation of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation and application scope. To sum up, the content of this specification should not be construed as a limitation to this application.

Claims

1. A vehicle corrosion management method, characterized in that, The vehicle corrosion management method includes: Obtaining information data of the vehicle to be tested; the information data includes: anti-corrosion level and target environmental parameters; the anti-corrosion level is the preset number of years corresponding to vehicle corrosion. Based on a preset mapping relationship, determining initial material process data according to the anti-corrosion level. According to the target environmental parameters, performing parameter mapping and matching with the range of preset applicable parameters to determine risk parameters; the risk parameters are the target environmental parameters within the range of the preset applicable parameters. According to the risk parameters and the initial material process data, determining a virtual corrosion level; the virtual corrosion level is the predicted number of years corresponding to vehicle corrosion. Judging whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level to obtain a judgment result. If the judgment result is yes, based on the anti-corrosion level, ascendingly modify according to the position serial number of the initial material process data in the set anti-corrosion process library. If the judgment result is no, determining management information based on the risk traceability result information; the management information is used to characterize the corrosion resistance of the vehicle to be tested; the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

2. The vehicle corrosion management method according to claim 1, characterized in that, Judging whether to adjust the material process data according to the virtual corrosion level and the anti-corrosion level to obtain a judgment result, specifically including: Comparing and verifying the virtual corrosion level with the anti-corrosion level to obtain a verification result. Judging whether to adjust the material process data according to the verification result to obtain a judgment result.

3. The vehicle corrosion management method according to claim 1, characterized in that, The material process data includes: material type and material thickness; the material types include: phosphating layer, plating layer, coating layer, and sealing.

4. The vehicle corrosion management method according to claim 1, characterized in that, The target environmental parameters include: damp heat, dry heat, mildew, condensation, sand and dust, haze, frost, snowfall days, precipitation, irradiance, atmospheric corrosion, static corrosion, dynamic corrosion, sea salt corrosion, snow melting salt corrosion, and maritime transportation corrosion.

5. The vehicle corrosion management method according to claim 1, characterized in that, The risk traceability result information includes: feedback rate, failure rate, and problem rate.

6. A vehicle corrosion management device, characterized in that, The vehicle corrosion management device includes: a management input end, a material process module, an environmental analysis module, a verification and traceability module, and a management terminal. The management input end is respectively connected to the material process module and the environmental analysis module; the verification and traceability module is respectively connected to the material process module and the environmental analysis module; the verification and traceability module is also connected to the management terminal. The management input end is used to obtain information data of the vehicle to be tested; the information data includes: anti-corrosion level and target environmental parameters; the anti-corrosion level is the preset number of years corresponding to vehicle corrosion. The material process module is used to determine initial material process data according to the anti-corrosion level based on a preset mapping relationship. The environmental analysis module is used to perform parameter mapping and matching with the range of preset applicable parameters according to the target environmental parameters to determine risk parameters; the risk parameters are the target environmental parameters within the range of the preset applicable parameters. The verification and traceability module is used for: Determine a virtual corrosion level based on the risk parameters and initial material process data; the virtual corrosion level is the predicted number of years corresponding to vehicle corrosion. Compare and verify the virtual corrosion level with the anti-corrosion level to obtain a verification result. Judge whether to adjust the material process data according to the verification result to obtain a judgment result. If the judgment result is yes, based on the anti-corrosion level, modify the ascending order according to the position serial number of the initial material process data in the set anti-corrosion process library. The management terminal is used to determine management information based on the risk traceability result information when the judgment result is no; the management information is used to characterize the corrosion resistance of the vehicle to be tested; the risk traceability result information is determined based on the corrosion data in the vehicle corrosion database.

7. The vehicle corrosion management device according to claim 6, characterized in that, The verification and traceability module includes: a corrosion verification module and a traceability module. The corrosion verification module is respectively connected to the material process module and the environmental analysis module; the traceability module is respectively connected to the corrosion verification module and the management terminal. The corrosion verification module is used for: Determine a virtual corrosion level based on the risk parameters and initial material process data; the virtual corrosion level is the predicted number of years corresponding to vehicle corrosion. Compare and verify the virtual corrosion level with the anti-corrosion level to obtain a verification result. The traceability module is used for: Judge whether to adjust the material process data according to the verification result to obtain a judgment result. When the judgment result is yes, based on the anti-corrosion level, modify the ascending order according to the position serial number of the initial material process data in the set anti-corrosion process library. When the judgment result is no, determine the risk traceability result information based on the corrosion data in the vehicle corrosion database.

8. A computer device, comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the vehicle corrosion management method according to any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the vehicle corrosion management method according to any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the vehicle corrosion management method according to any one of claims 1-5.

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