Method and device for calculating corrosion test conditions

Abstract

The present specification provides a calculation method and device of corrosion test conditions, the calculation method comprises: obtaining a natural environment spectrum corresponding to a target area; determining the gray correlation degree between the corrosion process of a corrosion test object under a natural environment and the corrosion test of the corrosion test object under a laboratory environment, and determining the purpose acceleration multiple between the corrosion process and the corrosion test according to the gray correlation degree, the purpose acceleration multiple is used to simulate the corrosion process in the actual time length within the test time length of the corrosion test, and the test time length is shorter than the actual time length; determining the corrosion test conditions corresponding to the target area and suitable for the corrosion test object according to the natural environment spectrum and the purpose acceleration multiple, the corrosion test conditions include a corresponding purpose test time length, and the purpose test time length is negatively correlated with the purpose acceleration multiple.

Description

Technical Field

[0001] This specification relates to the field of materials corrosion research technology, and in particular to a method and apparatus for calculating corrosion test conditions. Background Technology

[0002] With the development of modern manufacturing, people are paying more and more attention to the economic losses caused by corrosion damage to related products during production, transportation, storage and use. Therefore, it is urgent to propose corresponding anti-corrosion standards for different products and corrosion tests to quickly verify whether the corresponding products meet the standards.

[0003] In related technologies, manufacturers typically follow existing testing standards to conduct corrosion tests in order to predict the corrosion status of products in a corresponding area within a short period of time, and determine or optimize the corresponding manufacturing methods based on the corrosion status. However, due to the significant differences in natural environments between different regions, the corrosion status obtained through the above-mentioned corrosion tests is often difficult to accurately reflect the actual corrosion conditions in each region. Summary of the Invention

[0004] In view of this, this specification provides a method and equipment for calculating corrosion test conditions to address the shortcomings in related technologies.

[0005] Specifically, this specification is implemented through the following technical solution:

[0006] According to a first aspect of the embodiments of this specification, a method for calculating corrosion test conditions is provided, comprising:

[0007] Obtain the natural environment spectrum of the corresponding target area;

[0008] The grayscale correlation between the corrosion process of the corrosion test object under natural environment and the corrosion test of the corrosion test object under laboratory environment is determined, and the target acceleration ratio between the corrosion process and the corrosion test is determined based on the grayscale correlation. The target acceleration ratio is used to simulate the corrosion process within the actual time of the test within the test duration, wherein the test duration is shorter than the actual time.

[0009] Corrosion test conditions corresponding to the target area and applicable to the corrosion test object are determined based on the natural environment spectrum and the target acceleration ratio. The corrosion test conditions include the corresponding target test duration, and the target test duration is negatively correlated with the target acceleration ratio.

[0010] According to a second aspect of the embodiments of this specification, a device for calculating corrosion test conditions is provided, comprising:

[0011] The environmental spectrum acquisition unit is used to acquire the natural environmental spectrum of the corresponding target area;

[0012] The purpose acceleration factor determination device is used to determine the grayscale correlation between the corrosion process of the corrosion test object under natural environment and the corrosion test of the corrosion test object under laboratory environment, and to determine the purpose acceleration factor between the corrosion process and the corrosion test based on the grayscale correlation factor. The purpose acceleration factor is used to simulate the corrosion process within the actual time of the test within the test duration, wherein the test duration is shorter than the actual time.

[0013] A corrosion test condition determination device is used to determine corrosion test conditions corresponding to the target area and applicable to the corrosion test object based on the natural environment spectrum and the target acceleration ratio. The corrosion test conditions include a corresponding target test duration, and the target test duration is negatively correlated with the target acceleration ratio.

[0014] According to a third aspect of the embodiments of this specification, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0015] According to a fourth aspect of the embodiments of this specification, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method described in the first aspect.

[0016] In the technical solution provided in this specification, by calculating the grayscale correlation between the corrosion process of the corrosion test object under natural environment and the corrosion test of the corrosion test object under laboratory environment, the correlation between the two can be determined. Based on the grayscale correlation, the target acceleration ratio between the corrosion process and the corrosion test can be determined. Then, based on the target acceleration ratio, the corresponding corrosion test conditions can be determined so that the corrosion condition obtained by the corrosion test corresponding to the corrosion test conditions is consistent with the actual corrosion condition of the corrosion test object in the target area.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this specification. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1This is a schematic diagram illustrating the relationship between atmospheric corrosion rate and water film thickness on a metal surface, as shown in an exemplary embodiment of this specification.

[0020] Figure 2 This is a schematic flowchart illustrating an exemplary embodiment of the calculation method for corrosion test conditions in this specification.

[0021] Figure 3 This is a schematic diagram of a cyclic corrosion test process illustrated in an exemplary embodiment of this specification;

[0022] Figure 4 This is a flowchart illustrating an exemplary embodiment of the calculation method for another corrosion test condition.

[0023] Figure 5a This is a schematic diagram of a corrosion thickness loss fitting curve for a neutral salt spray test, as illustrated in an exemplary embodiment of this specification.

[0024] Figure 5b This is a schematic diagram of a corrosion thickness loss fitting curve for a mass circulating salt spray test, as illustrated in an exemplary embodiment of this specification.

[0025] Figure 5c This is a schematic diagram of the corrosion thickness loss fitting curve of the first salt spray test of a Nissan circulating salt spray standard, as illustrated in an exemplary embodiment of this specification.

[0026] Figure 5d This is a schematic diagram of the corrosion thickness loss fitting curve of a second type of salt spray test according to an exemplary embodiment of this specification.

[0027] Figure 5e This is a schematic diagram of the corrosion thickness loss fitting curve of the third type of salt spray test according to an exemplary embodiment of this specification.

[0028] Figure 6 This is a schematic structural diagram of an electronic device shown in an exemplary embodiment of this specification;

[0029] Figure 7 This is a schematic diagram of the structure of a calculation device for corrosion test conditions, as shown in an exemplary embodiment of this specification. Detailed Implementation

[0030] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this specification. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this specification.

[0031] It should be noted that in other embodiments, the steps of the corresponding methods are not necessarily performed in the order shown and described in this specification. In some other embodiments, the methods may include more or fewer steps than those described in this specification. Furthermore, a single step described in this specification may be broken down into multiple steps in other embodiments; and multiple steps described in this specification may be combined into a single step in other embodiments. It should be understood that although the terms first, second, third, etc., may be used in this specification to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this specification, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0032] In related technologies, all kinds of items can be corroded and damaged by the atmospheric environment. Taking metal materials and their products as an example, statistics show that approximately 80% of metal components operate in atmospheric environments, and metal damage caused by corrosion accounts for a significant proportion of the national economic output, with atmospheric corrosion accounting for 50% of that. Therefore, before discussing corrosion tests and how to calculate the corresponding corrosion test conditions in this specification, it is necessary to further explain the corrosion characteristics and behavior of the atmospheric environment and the classification and levels of environmental corrosivity, so as to fully reflect the laws governing the effects of atmospheric environmental factors on metals and non-metals.

[0033] First, atmospheric corrosion refers to the deterioration or damage of materials and their products caused by environmental factors in the atmosphere. Currently, the aging of both metallic and non-metallic materials can be included in the scope of atmospheric corrosion. Taking metallic materials as an example, atmospheric corrosion mainly refers to the damage caused by the combined effects of moisture, oxygen, and corrosive media (such as impurities in rainwater, dust, and surface deposits) in the atmosphere. Based on the corrosion reaction, atmospheric corrosion of metallic materials can be divided into chemical corrosion and electrochemical corrosion. While chemical corrosion occurs in dry, moisture-free atmospheric environments, resulting in surface oxidation and sulfidation that causes loss of luster and discoloration, most cases of atmospheric corrosion are electrochemical corrosion. However, unlike electrochemical corrosion that occurs when fully immersed in an electrolyte, atmospheric corrosion can occur under a thin electrolyte film. Furthermore, oxygen in the air acts as a depolarizer in the cathodic process of electrochemical corrosion, which is detrimental to metal corrosion prevention. The thickness of the water film on the surface of the metallic material, the frequency of wet-dry alternation, and the diffusion rate of oxygen directly affect the rate of atmospheric corrosion. To clearly distinguish between atmospheric corrosion of different degrees, atmospheric corrosion can be divided into the following three categories: ① dry atmospheric corrosion, which is atmospheric corrosion on the metal surface without any water film layer; ② wet atmospheric corrosion, which is atmospheric corrosion when a water film is visible to the naked eye; ③ humid atmospheric corrosion, which is atmospheric corrosion that occurs under a thin water film that is not visible to the naked eye when the relative humidity is less than 100%.

[0034] In the first scenario, the corrosion process on the metal surface follows a chemical reaction between gaseous reactants (such as oxygen and hydrogen sulfide in the air) and the oxidized metal surface, forming a thin film of corrosion. This film forms very quickly and stops thickening after a short period, resulting in a very low corrosion rate in a relatively dry atmosphere. Therefore, atmospheric corrosion of metals is not primarily due to the dry atmospheric corrosion process. In the second scenario, the corrosion process occurs under a visible water film (i.e., an electrolyte film). The corrosion process is similar to electrochemical corrosion immersed in an electrolyte, with the addition of localized micro-cell corrosion. The corrosion rate in this scenario is higher than in the first scenario. In the third scenario, the corrosion rate is even faster because oxygen can more easily penetrate the water film to reach the metal-water film interface. In other words, the essence of atmospheric corrosion of metals can be understood as electrochemical corrosion under a water film. Of course, unlike metals, synthetic materials (such as polyvinyl chloride, polypropylene, and composite materials) generally do not undergo the aforementioned electrochemical corrosion. The changes they undergo in the atmospheric environment are mainly photoaging under sunlight and humid heat aging.

[0035] Those skilled in the art will understand that factors such as the thickness and duration of the electrolyte film, as well as the chemical composition of the electrolyte, are crucial to metal corrosion. The former two are mainly caused by atmospheric meteorological conditions, while the latter is primarily related to atmospheric pollutants. Therefore, in calculating the corrosion test conditions described below, it is necessary to consider the correlation between environmental factors affecting atmospheric corrosion and the corrosion situation, and to further classify the atmospheric corrosion environment.

[0036] The following is combined with Figure 1 The relationship between water film thickness on metal surfaces and atmospheric corrosion rate is explained in a categorized manner. Figure 1 This is a schematic diagram illustrating the relationship between atmospheric corrosion rate and water film thickness on a metal surface, as shown in an exemplary embodiment of this specification. As shown, the atmospheric corrosion rate exhibits four stages with increasing water film thickness on the metal surface, and each stage... Figure 1 The corrosion process can be divided into four regions: Region I (water film thickness δ = 1–10 nm): This region corresponds to a stage with extremely low atmospheric humidity, resulting in only a few water molecules thick adsorbed on the metal surface, without the formation of a continuous electrolyte. This region is equivalent to the dry atmospheric corrosion described above, with a very low corrosion rate. Region II (δ = 10 nm–1 μm): This region corresponds to a stage where atmospheric humidity gradually increases. The water film thickness on the metal surface also gradually increases, reaching tens or hundreds of water molecules thick to form a continuous electrolyte layer, thus initiating the electrochemical corrosion process. The corrosion rate in this region increases sharply, equivalent to the humid atmospheric corrosion described above. Region III (δ = 1 μm–1 mm): This region corresponds to a stage where the water film thickness on the metal surface continues to increase to several micrometers thick, equivalent to the start of humid atmospheric corrosion. However, as the water film thickness further increases, oxygen becomes increasingly difficult to diffuse through the water film to the metal surface, thus the corrosion rate in this region decreases accordingly. Region IV (δ>1mm): This region corresponds to a stage where the water film on the metal surface becomes thicker (e.g., greater than 1mm), which is equivalent to corrosion when the metal is fully immersed in the electrolyte. Therefore, the corrosion rate remains basically unchanged.

[0037] Atmospheric corrosion in natural environments mostly occurs in zones II and III mentioned above. However, with dynamic changes in atmospheric conditions and the corresponding metal surface conditions (such as the adhesion of oxides and salts), various corrosion types can transform into one another. Therefore, when discussing the mechanism of atmospheric corrosion, it is necessary to recognize that atmospheric corrosion is a corrosion process where the metal is exposed to a thin layer of electrolyte on its surface.

[0038] As mentioned above, atmospheric corrosion is typically characterized by humidity and moisture. For example, at 90% relative humidity, the water vapor film formed by water vapor is usually less than two water molecules thick (enough to form the electrolyte film necessary for electrochemical corrosion), and at 60% relative humidity, the water vapor film is only about one molecule thick. However, once a small amount of hygroscopic deposits are present on the metal surface, even at 50% relative humidity, a water vapor film of at least five molecular layers can be absorbed. The formation conditions of this water vapor film are influenced by capillary condensation, adsorption condensation, and chemical condensation. Specifically, adsorption condensation increases the number of adsorbed water molecules with increasing relative humidity, while chemical condensation promotes corrosion when salts and other chemical substances are adsorbed onto the surface.

[0039] Furthermore, during the electrode polarization process of electrochemical corrosion, changes in the thickness of the water vapor film can alter the main body controlling the electrode polarization process. For example, in humid atmospheric corrosion, the corrosion rate is primarily controlled by the cathode, while in damp atmospheric corrosion, the corrosion process is primarily controlled by the anode. The relevant principles and chemical formulas regarding the electrode polarization process have been disclosed in related technologies and will not be elaborated upon here. These changes can also directly affect the composition of the substances involved in electrochemical corrosion. Taking the initial rust layer of steel as an example, when the rust layer is wet, it can act as a strong cathodic depolarizer. The anodic reaction occurs at the interface between the metal and Fe3O4 (Fe3O4), while the cathodic reaction occurs at the interface between Fe3O4 (Fe3O4) or FeOOH (Fe3O4+). When the rust layer dries, the local cell between the rust layer and the underlying base metal becomes an open circuit. With sufficiently good electronic conductivity, the reaction not only occurs on the surface of the rust layer but also on the increasingly thicker pore walls of the rust layer, while a secondary oxidation reaction of iron atoms occurs simultaneously. Based on this, it can be concluded that steel with a rust layer can corrode more rapidly under alternating wet and dry conditions.

[0040] The above explains the mechanism of atmospheric corrosion. Based on this, we can further understand the principles of various corrosion tests, as well as the parameters involved in the corrosion test conditions and their impact on the corrosion rate.

[0041] The following is combined with Figure 2 The embodiments shown illustrate the technical solutions of this specification. Figure 2 This is a schematic flowchart illustrating a method for calculating corrosion test conditions according to an exemplary embodiment of this specification. Figure 2 As shown, the method may include the following steps:

[0042] S201, Obtain the natural environment spectrum of the corresponding target area.

[0043] To accurately determine the corrosion status of the corrosion test objects in the aforementioned target area, the natural environmental spectrum of that area can be obtained to gain a comprehensive understanding of the natural environmental conditions of the target area. The aforementioned natural environmental spectrum can refer to the intensity, duration, frequency, and combination of various natural environmental factors (such as temperature, humidity, rainfall, solar radiation, and pollutants) in a specific environment over a certain period. To fully describe the impact of corrosive environmental factors on the corrosion test objects during this period, the aforementioned natural environmental spectrum may include, but is not limited to, temperature spectrum, humidity spectrum, precipitation spectrum, acid rain spectrum, fog spectrum, dew spectrum, solar radiation spectrum, and pollutant spectrum.

[0044] Of course, the above natural environment spectrum does not need to include all environmental factors at the same time. In the case of missing data or no specific environmental factors involved in the corresponding corrosion test, a portion of valid data can be selected and classified. For example, the above natural environment spectrum can include, according to the specific corrosion test, the climate data and chemical data of the target area for each corrosion scenario within a preset period. The climate data can include the cumulative duration of the corrosion scenario under each preset temperature and humidity combination. The chemical data can include the average pH value, total salt content, and the ratio of polluted days to unpolluted days in the target area within the preset period.

[0045] Those skilled in the art will understand that, in order to reproduce the damaging effects (i.e., corrosion effects) of the natural environment on the aforementioned corrosion test objects in the laboratory environment described below, it is necessary to find an equivalent relationship and use this equivalent relationship to measure the corrosive effects of the climatic and chemical environments on metals in the natural environment into the effects of the harsh laboratory test environment, so as to shorten the test time.

[0046] In one embodiment, the original environmental spectrum corresponding to the target area can be obtained, and the raw data in the original environmental spectrum can be subjected to equivalent acceleration processing according to a preset equivalent conversion factor. The processed original environmental spectrum is then used as the natural environmental spectrum. The original environmental spectrum includes raw data collected from the target area, and the equivalent conversion factor can be used as the equivalent relationship to determine the ratio of corrosion time between any corrosion scenario in the natural environment and the same laboratory environment. Simultaneously, the processed original environmental spectrum can be considered as an accelerated corrosion environmental spectrum corresponding to the target area, so that the corrosion test can realistically and accurately reflect the damage of the natural environment to the corrosion test object.

[0047] S202, determine the grayscale correlation between the corrosion process of the corrosion test object under natural environment and the corrosion test of the corrosion test object under laboratory environment, and determine the target acceleration ratio between the corrosion process and the corrosion test based on the grayscale correlation. The target acceleration ratio is used to simulate the corrosion process within the actual time of the test within the test duration, and the test duration is shorter than the actual time.

[0048] The method described in this specification can use gray-scale correlation analysis to determine the gray-scale correlation between the corrosion process of the aforementioned corrosion test object in a natural environment and the corrosion test in a laboratory environment. This allows for the determination of the correlation between the two. A stronger correlation means that the simulated corrosion process within the test duration closely matches the actual corrosion process of the aforementioned corrosion test object within the actual test duration, and vice versa. When the correlation is strong (i.e., the higher the gray-scale correlation), the ratio of the test duration to the actual duration for the same corrosion damage can be calculated, and this ratio can be determined as the aforementioned target acceleration factor. Clearly, this target acceleration factor can be used to simulate the aforementioned corrosion process within the actual test duration, where the test duration is shorter than the actual duration.

[0049] The aforementioned grey relational analysis method measures the degree of correlation between factors based on the similarity or dissimilarity of their development trends, also known as "grey relational degree." Its characteristic is that it can analyze the correlation patterns between two things from a small number of seemingly random data samples. Grey relational analysis is the most mature and widely applied part of grey system theory. Based on the grey relational degree calculation method, different data columns x1, x2, x3..., x... i The grey relational degree γ between the subsequence (i.e., the comparison sequence) and the reference data column x0 (i.e., the parent sequence, the reference sequence) 0i It can describe the degree of correlation between two statistics:

[0050]

[0051]

[0052] In the above formula, Y0 and Y i This can be understood as a standardized sequence after dimensionless processing of the comparison sequence and the reference sequence, Y0(k) and Y... i (k) represents the data of the standardized sequence in the k-th data dimension.

[0053] Y0(k)={x0(k) / x0(1)}={Y0(1),Y0(2),Y0(3),...,Y0(n)} (Formula 3)

[0054] Yi (k)={x i (k) / x i (1)}={Y i (1),Y i (2),Y i (3),...,Y i (n)} (Formula 4)

[0055] Where i = 1, 2, ..., m, k = 1, 2, ..., n (m is the number of statistics, and n is the data dimension of each statistic); and These represent the maximum and minimum differences of two corresponding statistics on the same data dimension. In Formula 2, ρ is used as the resolution coefficient, ranging from 0 to 1, and typically takes a value of 0.5. γ is obtained through Formula 1. 0i Equivalent to the standardized sequences Y0 and Y i The degree of correlation between the two corresponding statistics (i.e., the grey correlation degree mentioned above), γ 0i A value greater than 0.6 indicates a good correlation between the corresponding comparison sequence and the reference sequence, and γ 0i The larger the value, the better the correlation between the two. Furthermore, this specification does not limit the specific implementation method of the gray-scale correlation analysis method; for example, a gray-scale correlation model can be established and the corresponding gray-scale correlation value can be output based on the input parameters.

[0056] It should be noted that the aforementioned target acceleration factor and the aforementioned equivalent conversion factor do not have the same technical meaning, nor are they directly related. The former can be used to determine the target test duration below, while the latter is only used to achieve equivalent acceleration between specific corrosion scenarios and the harsh test environment of the laboratory.

[0057] The aforementioned grayscale correlation may have a low value. Therefore, this application can increase the grayscale correlation for different situations to improve the probability of determining a higher grayscale correlation.

[0058] In one embodiment, the corrosion process corresponds to at least one reference area in a natural environment, and the corrosion test follows at least one test standard in a laboratory environment, with each test standard corresponding to the same mechanism; the grayscale correlation degree of each comparison combination is determined, and at least one of the reference areas and test standards corresponding to any comparison combination is different; the acceleration ratio of each comparison combination is determined, and the acceleration ratio corresponding to the comparison combination with a grayscale correlation degree higher than a preset correlation degree threshold is selected from the determined acceleration ratios; and the acceleration ratio within the preset ratio range is determined from the selected acceleration ratios as the aforementioned target acceleration ratio. The aforementioned preset correlation threshold can typically be set to 0.6 by default, or it can be changed according to actual needs. Taking a preset correlation threshold of 0.6 as an example, when the grayscale correlation of comparison combination 1 (corresponding to reference area A1 and test standard B1) is 0.5 (i.e., less than 0.6), it indicates that the correlation between reference area A1 and test standard B1 is not high. When the grayscale correlation of comparison combination 2 (corresponding to reference area A2 and test standard B1) is 0.9 (i.e., much greater than 0.6), it indicates that the correlation between reference area A2 and test standard B1 is very high. It is understandable that the purpose of the aforementioned preset magnification range is to filter out excessively high or low acceleration magnifications. The former would lead to an excessively short duration of the target experiment, resulting in distorted experimental results; the latter would lead to an excessively long duration of the target experiment, resulting in low acceleration.

[0059] This manual can utilize mathematical tools to improve the accuracy and efficiency of calculating acceleration ratios for the aforementioned purposes.

[0060] In one embodiment, the test data in each corrosion test can be fitted, where the test data represents the corrosion state of the corrosion test object in each corrosion test within the test duration. The actual data from each corrosion process are then substituted into the fitting result corresponding to each corrosion test to determine the acceleration ratio of each comparison combination. The actual data represents the corrosion state of the corrosion test object in the corresponding reference area within the actual duration. The corrosion state refers to the thickness loss of the corrosion test object at a preset time point; however, this specification does not specify the exact time of the preset time point.

[0061] Corrosion weight loss ÷ density = Corrosion thickness loss

[0062] Furthermore, in a laboratory environment, it is often difficult to accurately determine the minute amount of corrosion loss. Therefore, the above-mentioned corrosion loss can be indirectly determined through the above formula.

[0063] S203, determine corrosion test conditions corresponding to the target area and applicable to the corrosion test object based on the natural environment spectrum and the target acceleration ratio, wherein the corrosion test conditions include the corresponding target test duration, and the target test duration is negatively correlated with the target acceleration ratio.

[0064] After obtaining the aforementioned acceleration ratio, the corrosion test conditions applicable to the target area and the corrosion test object can be determined. For example, if it is necessary to determine the corrosion status of the corrosion test object after 3 years in the target area, then the result of "(3*365) days / acceleration ratio" is taken as the target test duration. Since the acceleration ratio is greater than 1 by default, the target test duration is negatively correlated with the target acceleration ratio. The corrosion test corresponding to the aforementioned corrosion test conditions can be a cyclic salt spray test or a single corrosion test, etc., and this specification does not impose any restrictions on this. The following is in conjunction with... Figure 3 The cyclic salt spray test is explained. Figure 3 This specification illustrates a schematic diagram of a cyclic corrosion test process, as shown in an exemplary embodiment. Figure 3 As shown, the cyclic salt spray test can be divided into three modules: salt spray module, drying module, and temperature and humidity module. The standard temperature and humidity conditions have been defined for the cyclic salt spray test. The remaining unknown solution concentration and pH value can be determined based on the natural environment spectrum. The action time of each module needs to be determined based on the natural environment spectrum and the aforementioned acceleration factor.

[0065] In addition, the above-mentioned cyclic salt spray test can follow any of the following standards: National Standard GB 10125, Volkswagen Standard PV1210, Nissan Engineering Standard M0158 and other similar cyclic salt spray tests, and this manual does not limit this to any of them.

[0066] Figure 4 This is a schematic flowchart illustrating an exemplary embodiment of the calculation method for another corrosion test condition, as shown in this specification. Figure 4 As shown, the method includes the following steps:

[0067] S401, Statistical analysis of the natural environment spectrum of the target area.

[0068] In one embodiment, assuming the corrosion test subject is an electric vehicle composed of steel components, the automaker needs to calculate the corrosion level of this electric vehicle after 5 years of use in target area Q. Therefore, a corresponding corrosion test needs to be set up for target area Q to quickly and accurately determine the corrosion level within the target test duration. At this time, the automaker determines the typical atmospheric environment spectrum of the vehicle driving area in target area Q through a year of field research, that is, formulates the collection plan and collection content according to Table 1 below.

[0069] Table 1. Statistical Table of Atmospheric Environmental Corrosion Data Per Unit Year

[0070]

[0071] The data collected includes the year of collection, the number of hours of rainfall throughout the year (divided into 20℃, 25℃, 30℃, 35℃, and 40℃), the number of hours of rainfall throughout the year (divided into 20℃, 25℃, 30℃, 35℃, and 40℃), the remaining time of the year (divided into 20℃ and 70% humidity, 20℃ and 80% humidity, 20℃ and 90% humidity, 25℃ and 70% humidity, 25℃ and 80% humidity, 25℃ and 90% humidity, 30℃ and 70% humidity, 30℃ and 80% humidity, 30℃ and 90% humidity, 35℃ and 70% humidity, 35℃ and 80% humidity, 35℃ and 90% humidity, 40℃ and 70% humidity, 40℃ and 80% humidity, and 40℃ and 90% humidity), the annual average atmospheric pH value, the total Cl- content throughout the year, and the annual... Total content. Cl- and Its sedimentation was collected using a standard collector.

[0072] S402, determine the conversion factor.

[0073] In one embodiment, the corresponding conversion factor α can be obtained based on the corrosion current of structural steel under different temperatures and humidity conditions over time. For ease of calculation and use, α = 1 is taken for standard humid air (temperature T = 40℃, humidity RH = 90%). The corresponding conversion factors of structural steel materials under different temperature and humidity combinations and standard conditions are shown in Table 2.

[0074] Table 2 Conversion factors between humid air and standard humid air

[0075]

[0076] The corrosion current of structural steel under different concentrations of NaCl solution and water medium was measured, and the corresponding conversion factor is shown in Table 3.

[0077] Table 3 Conversion factors between NaCl solutions of different concentrations and aqueous media

[0078]

[0079] The conversion factors between structural steel and H2SO4 solutions of different concentrations and water media are shown in Table 4.

[0080] Table 4 Conversion factors for different concentrations of acid and water medium

[0081]

[0082] S403, determine the action time of the damp heat module.

[0083] In one embodiment, the corrosion rates during rain and fog in Table 1 can be considered to be basically consistent with the corrosion rates at a relative humidity of approximately 90%. Based on the characteristics of atmospheric environmental factors, an accelerated test environmental spectrum is formulated using the standard conditions of the cyclic salt spray test. The test time is calculated by referring to the temperature and humidity times collected in Table 1 and the equivalent conversion factor for standard humid air in Table 2, to calculate the humid time relative to the humid operating conditions (temperature T = 40℃, humidity RH = 90%). In other words, the time in Table 1 is multiplied by the conversion factor in Table 2 to obtain an environmental spectrum similar to that in Table 5.

[0084] Table 5. Statistical table of atmospheric environmental corrosion data per unit year after treatment.

[0085]

[0086] At this point, the total action time T of the damp heat module and the salt spray module is obtained by adding up all the time coefficients in Table 5. Since the ratio of polluted days to non-polluted days in Table 1 is 1:1, the action time of the damp heat module is T / 2.

[0087] S404, determine the working time of the drying module.

[0088] In one embodiment, since the atmospheric corrosion throughout the year is divided into the action time of the above three modules, the action time T` of the drying module can be directly obtained by subtracting the total action time T of the damp heat module and the salt spray module throughout the year, i.e., T` = 365 days / year - T.

[0089] S405, determines the composition of the salt solution, with the aim of accelerating the multiplication rate.

[0090] In one embodiment, when determining the Na2SO4 concentration and NaCl concentration, the total Cl- content (mg / 100mg) throughout the year can be referred to Table 1. 2 ) and the whole year Total content (mg / 100mg) 2 Specifically, the conversion factors in Tables 2 and 3 can be taken in reverse order, then added together, and the reciprocal taken again to obtain the salt conversion factor. This salt conversion factor can then be used as the calculation parameters for determining the NaCl and Na2SO4 concentrations when obtaining the corrosion test conditions. Since the specific composition of the salt solution and the calculation methods for each component are basically disclosed in related technologies, the calculation results regarding the solution concentration will not be discussed further in the corrosion test conditions of the subsequent embodiments.

[0091] In one embodiment, to calculate the acceleration factor, the corrosion weight loss of GB 10125, PV 1210, and M0158 steels under outdoor exposure, along with that of DC06 and Q235 steels, can be fitted using a power function. The high correlation coefficient after fitting indicates a good function fit. This also demonstrates that the corrosion kinetics of the corrosion tests under various standard conditions are somewhat similar to the actual atmospheric corrosion kinetics of metallic materials.

[0092] The gray relational degree calculation process is as follows:

[0093] (1) Specify the reference data column and the comparison data column

[0094] Corrosion thickness loss data (μm) of Q235 under different standards and at different times were used as the reference sequence x0(k), k = 1, ..., 5. Corrosion thickness loss data of different cycles under different salt spray accelerated testing methods were used as the comparison sequence x1(k), k = 1, ..., 5. The time series corresponding to the corrosion test data of each standard are PV 1210 cyclic salt spray (168, 336, 504, 672, 840h), M0158 salt spray corrosion (III) (240, 480, 720, 960, 1200h), and the time corresponding to the thickness loss data in the neutral salt spray accelerated test environment spectrum (240, 480, 720, 960, 1200h). The test time of outdoor exposure in the actual environmental spectrum is (1a, 2a, 5a, 8a). The correlation degree between outdoor actual environmental exposure test and indoor accelerated corrosion test in different regions was calculated using the grey relational analysis method. For example, Table 6 below shows the original data of Q235 outdoor corrosion tests for different conversion periods.

[0095] Assuming that no outdoor exposure test of Q235 bare material samples was arranged in this experiment, the corrosion data can be referenced from the test results of Q235 bare steel samples exposed to the outdoors for 8 years (2006-2014) on the official website of China Corrosion and Protection Network. The test period is 1 year, 2 years, 5 years and 8 years. The corrosion-related data are shown in Table 6 below.

[0096] Table 6. Corrosion loss rate (μm / a) of Q235 steel in different regions under different test cycles.

[0097]

[0098] It should be noted that since the official website does not have data on corrosion in the Turpan region, data from Dunhuang, a region with a similar environment, is used for this area.

[0099] The annual thickness loss of Q235 steel in various regions can be calculated by multiplying the thickness loss rate by the year. The calculation results are shown in Table 7 below:

[0100] Table 7 Annual corrosion loss (μm) of Q235 steel in various regions

[0101]

[0102] The corrosion loss data for different standards in Table 8 were obtained through calculation.

[0103] Table 8. Corrosion loss data of Q235 steel under different accelerated tests.

[0104]

[0105]

[0106] Table 9 is obtained by combining the neutral salt spray data in Table 8 with the data for each region in Table 7.

[0107] Table 9. Raw data on corrosion loss of Q235 under exposure test in different regions.

[0108]

[0109] (2) Initialize the original corrosion data.

[0110] By applying the above formula and performing initialization on each data column in Table 9, a standardized sequence is obtained. The results are shown in Table 10.

[0111] Table 10 Initial Value Processing Results of Corrosion Loss Data from Exposure Tests of Q235 in Different Regions

[0112]

[0113] (3) Calculate the absolute difference Δ according to Table 10. 0i (k)=|Y0(k)-Y i (k)|(where k is equivalent to the sequence Y0 and Y...) i The corresponding row, Δ 01 (2)=|Y0(2)-Y1(2)|=|2.0606-1.0667|=0.9939. Taking i from 1 to 6 and k from 1 to 4 in turn, we get the absolute difference sequence shown in Table 11.

[0114] Table 11 Absolute difference sequence of corrosion thickness loss data of Q235 in different regions after exposure test

[0115]

[0116] (4) Finally, the grey relational degree between the corrosion test and the indoor neutral salt spray test is calculated according to Formula 1 and Formula 2 above, as shown in Table 12.

[0117] Table 12 Correlation between outdoor sun exposure tests and neutral salt spray tests at six locations

[0118]

[0119] It should be noted that the results in Table 12 are somewhat blurry due to the low precision of the values. However, since the impact of the blurriness is small, some errors are permissible and can be ignored.

[0120] Table 12 shows that the grey correlation coefficients of Q235 in both the outdoor exposure test and the neutral salt spray accelerated corrosion test are greater than 0.6. Among them, the correlation coefficients of Qingdao, Wanning and Turpan are relatively high, indicating that its correlation is better than that of other regions.

[0121] Similarly, the grey relational coefficients of the PV 1210 standard and the three standards M0158 can be calculated using the same method, and the results are shown in Table 13 below:

[0122] Table 13 Correlation between outdoor exposure tests at six locations and PV 1210 salt spray tests

[0123]

[0124] It can be seen that the correlation coefficients between the outdoor exposure test and the salt spray test of the PV 1210 standard at the six locations are all greater than 0.6, indicating that the correlation is good. Among them, the grey correlation coefficients of Qingdao, Wanning and Turpan reach 0.7, which is higher than the correlation coefficients of other regions, indicating that the correlation is even better.

[0125] Table 14 Correlation between outdoor sun exposure tests at six locations and M0158 salt spray test (I)

[0126]

[0127] As shown in Table 14, the correlation coefficient between the outdoor exposure test and the M0158 salt spray test (I) in Lhasa is less than 0.6, indicating a poor correlation. The grey correlation coefficients for other regions are all greater than 0.6, with Qingdao, Wanning, and Turpan reaching 0.8, indicating a better correlation.

[0128] Table 15 Correlation between outdoor sun exposure tests at six locations and M0158 salt spray test (II)

[0129]

[0130] As shown in Table 15, the correlation coefficients between the outdoor exposure test and the M0158 salt spray test (II) at all six locations are greater than 0.6, indicating a good correlation. Among them, the correlation coefficients for Qingdao, Wanning, and Turpan reach 0.7, indicating that their correlations are relatively better than those of other regions.

[0131] Table 16 Correlation between outdoor sun exposure tests at six locations and M0158 salt spray test (III)

[0132]

[0133] Table 16 shows that the correlation coefficients between the outdoor exposure tests at the six locations and the M0158 salt spray test (III) are all greater than 0.6, indicating a good correlation. The grey correlation coefficients between the outdoor exposure tests in Qingdao and Wanning and the M0158 salt spray test (III) both reach 0.9, indicating a good correlation. The correlation coefficients between the outdoor exposure tests in Beijing and Wuhan and the M0158 standard (III) salt spray test reach 0.8, indicating a good correlation. Among them, the grey correlation coefficient between the corrosion thickness loss from the outdoor exposure tests in Wanning and the corrosion thickness loss from the M0158 standard (III) salt spray test is the highest at 0.9692, indicating a very good correlation.

[0134] Using the raw thickness loss data from different accelerated salt spray tests (Table 8) in Table Q235, a power function (W = At) was used to calculate the thickness loss. n The fitting results for the corrosion kinetics fitting curve are as follows: Figure 5a As shown. The fitting parameters are: A = 0.09946; n = 1.04782; R0 2 =0.96804, and its power function formula is: w = At n =0.09946 t1.04782 .

[0135] Similarly, such as Figure 5b As shown. The fitting parameters are: A = 0.23013; n = 0.93857; R0 2 =0.98172, and its power function formula is: w = At n =0.23013t 0.93857 .

[0136] like Figure 5c As shown. The fitting parameters are: A = 1.06584; n = 0.80188; R0 2 =0.94022, and its power function formula is: w = At n =1.06584t 0.80188 .

[0137] like Figure 5d As shown. The fitting parameters are: A = 0.5339; n = 0.87607; R0 2 =0.9367, and its power function formula is: w = At n =0.5339t 0.87607 .

[0138] like Figure 5eAs shown. The fitting parameters are: A = 0.03729; n = 1.29887; R0 2 =0.91896, and its power function formula is: w = At n =0.03729t 1.29887 .

[0139] Substitute the test data of Q235 steel outdoor exposure test at six locations for one year into the formula to calculate the acceleration time, and then use (365x24) / acceleration time = acceleration ratio to calculate the acceleration ratio data, which is shown in Table 15.

[0140] Table 15 Acceleration ratios between six locations and different accelerated test thickness loss amounts within one year

[0141]

[0142] Based on the correlation of Q235 steel, the correlation in Wanning is the highest, reaching 0.9692. According to the acceleration ratio data, the acceleration ratio corresponding to M0158 (III) with the highest correlation in Wanning is 20.6. The correlations in other places such as Beijing, Lhasa, and Wuhan are poor and the acceleration ratios are too high or too low. Therefore, the acceleration ratio of Wanning is selected as the acceleration ratio value for the other five regions and rounded to 21.

[0143] S406, Determine the salt spray module's action time.

[0144] In one embodiment, as described in S403, since the ratio of polluted days to non-polluted days in Table 1 is 1:1, the duration of the salt spray module is T / 2.

[0145] S407 determines the ratio and duration of the three stages—dry, wet, and salt spray—to determine the corrosion test conditions.

[0146] In one embodiment, based on the above data, it was confirmed that the corrosion correlation was best when the desired acceleration factor was 21. Therefore, the acceleration factor for atmospheric corrosion and cyclic corrosion conditions over one year was calculated to be 21, and the cyclic corrosion time was 365 / 21 = 17 days.

[0147] Therefore, the ratios and exposure times of the three stages—dry, wet, and salt spray—can be obtained as follows, which can then be used as the corrosion test conditions:

[0148] a) Salt spray cycle: Salt spray time per unit day = Salt spray cycle module time / 17D = (T / 2) / 17D;

[0149] b) Humidity and heat cycle: Humidity and heat time per unit day = Humidity module time / 17D = (T / 2) / 17D;

[0150] c) Drying cycle: Drying time per unit day = 24h / D - Salt spray time per unit day - Humid heat time per unit day = 24h / D - (T / 17D).

[0151] As can be seen from the above embodiments, the technical solution provided in this specification can determine the correlation between the corrosion process of the corrosion test object under natural environment and the corrosion test of the corrosion test object under laboratory environment by calculating the grayscale correlation between the two. Based on the grayscale correlation, the target acceleration ratio between the corrosion process and the corrosion test can be determined. Then, based on the target acceleration ratio, the corresponding corrosion test conditions can be determined so that the corrosion condition obtained by the corrosion test corresponding to the corrosion test conditions is consistent with the actual corrosion condition of the corrosion test object in the target area.

[0152] Figure 6 This is a schematic structural diagram of an electronic device according to an exemplary embodiment. Please refer to... Figure 6 At the hardware level, the electronic device includes a processor, internal bus, network interface, memory, and non-volatile memory, and may also include other necessary hardware. The processor reads the corresponding computer program from the non-volatile memory into memory and then runs it, forming a computational device for corrosion test conditions at the logical level. Of course, this specification does not exclude other implementation methods besides software implementation, such as logic devices or a combination of hardware and software, etc. That is to say, the execution subject of the following processing flow is not limited to individual logic units, but can also be hardware or logic devices.

[0153] Corresponding to the aforementioned embodiment of a method for calculating corrosion test conditions, this specification also provides an embodiment of a device for calculating corrosion test conditions.

[0154] Please refer to Figure 7 , Figure 7 This is a schematic diagram of the structure of a calculation device for corrosion test conditions, as illustrated in an exemplary embodiment.

[0155] like Figure 7 As shown, in a software implementation, the device may include:

[0156] The environmental spectrum acquisition unit 701 is used to acquire the natural environmental spectrum of the corresponding target area;

[0157] The target acceleration ratio determination unit 702 is used to determine the grayscale correlation between the corrosion process of the corrosion test object under natural environment and the corrosion test of the corrosion test object under laboratory environment, and to determine the target acceleration ratio between the corrosion process and the corrosion test based on the grayscale correlation. The target acceleration ratio is used to simulate the corrosion process within the actual time of the corrosion test within the test duration, wherein the test duration is shorter than the actual time.

[0158] The corrosion test condition determination unit 703 is used to determine corrosion test conditions corresponding to the target area and applicable to the corrosion test object based on the natural environment spectrum and the target acceleration ratio. The corrosion test conditions include the corresponding target test duration, and the target test duration is negatively correlated with the target acceleration ratio.

[0159] Optionally, the corrosion process corresponds to at least one reference area under natural conditions, and the corrosion test follows at least one test standard under laboratory conditions, each test standard corresponding to the same mechanism; the apparatus further includes:

[0160] The gray relational degree determination unit 704 is used to determine the gray relational degree of each comparison combination. At least one of the reference areas and test standards corresponding to any comparison combination is different.

[0161] Acceleration ratio screening unit 705 is used to determine the acceleration ratio of each comparison combination separately;

[0162] From the determined acceleration ratios, select the acceleration ratios corresponding to the comparison combinations whose grayscale correlation is higher than the preset correlation threshold, and determine the acceleration ratios within the preset range from the selected acceleration ratios as the target acceleration ratios.

[0163] Optionally, the acceleration ratio screening unit 705 is specifically used for:

[0164] The test data in each corrosion test are fitted, and the test data is the corrosion state of the corrosion test object in each corrosion test within the test duration;

[0165] The actual data of each corrosion process are substituted into the fitting results corresponding to each corrosion test to determine the acceleration ratio of each comparison combination. The actual data refers to the corrosion state of the corrosion test object in the corresponding reference area within the actual time period.

[0166] Optionally, the corrosion state is the thickness loss of the corrosion test object at a preset time point.

[0167] Optionally, the device further includes:

[0168] An environmental spectrum processing unit 706 is used to acquire the original environmental spectrum corresponding to the target area, wherein the original environmental spectrum contains the original data collected from the target area;

[0169] The original data in the original environmental spectrum are subjected to equivalent acceleration processing according to the preset equivalent conversion factor, and the processed original environmental spectrum is used as the natural environmental spectrum.

[0170] Optionally, the natural environment spectrum includes climate and chemical data of the target area for each corrosion scenario within a preset period;

[0171] The climate data includes: the cumulative duration of the corrosion scenario corresponding to each preset temperature and humidity combination;

[0172] The chemical data includes: the average pH value, total salt content, and ratio of polluted days to unpolluted days in the target area within a preset period.

[0173] Optionally, the corrosion test corresponding to the corrosion test conditions is a cyclic salt spray test, which follows any of the following standards: National Standard GB 10125, Volkswagen Standard PV 1210, and Nissan Engineering Standard M0158.

[0174] The specific implementation process of the functions and roles of each unit in the above device can be found in the implementation process of the corresponding steps in the above method, and will not be repeated here.

[0175] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this specification according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0176] The embodiments of the subject matter and functional operation described in this specification can be implemented in the following ways: digital electronic circuits, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or combinations thereof. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by a data processing apparatus or for controlling the operation of a data processing apparatus. Alternatively or additionally, the program instructions may be encoded on artificially generated propagation signals, such as machine-generated electrical, optical, or electromagnetic signals, which are generated to encode information and transmit it to a suitable receiving device for execution by the data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or combinations thereof.

[0177] The processing and logic flow described in this specification can be executed by one or more programmable computers that execute one or more computer programs to perform corresponding functions by operating on input data and generating output. The processing and logic flow can also be executed by dedicated logic circuitry—such as FPGAs (Field-Programmable Gate Arrays) or ASICs (Application-Specific Integrated Circuits), and the device can also be implemented as dedicated logic circuitry.

[0178] Suitable computers for executing computer programs include, for example, general-purpose and / or special-purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit receives instructions and data from read-only memory and / or random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include one or more mass storage devices for storing data, such as disks, magneto-optical disks, or optical disks, or the computer will be operatively coupled to such mass storage devices to receive data from or transfer data to them, or both. However, a computer is not required to have such devices. Furthermore, a computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.

[0179] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, such as semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. Processors and memory may be supplemented by or incorporated into dedicated logic circuitry.

[0180] While this specification contains numerous specific implementation details, these should not be construed as limiting the scope of any invention or the scope of the claims, but rather are primarily intended to describe features of specific embodiments of a particular invention. Certain features described in the various embodiments herein may also be implemented in combination in a single embodiment. Conversely, various features described in a single embodiment may also be implemented separately in various embodiments or in any suitable sub-combination. Furthermore, while features may function in certain combinations as described above and even initially claimed in this way, one or more features from a claimed combination may be removed from that combination in some cases, and a claimed combination may refer to a sub-combination or a variation thereof.

[0181] Similarly, although the operations are depicted in a specific order in the accompanying drawings, this should not be construed as requiring these operations to be performed in the specific order shown or sequentially, or requiring all illustrated operations to be performed to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. Furthermore, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0182] Therefore, specific embodiments of the subject matter have been described. Furthermore, the processes depicted in the figures are not necessarily shown in a specific order or sequence to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.

[0183] The above description is merely a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification should be included within the scope of protection of this specification.

Claims

1. A method for calculating corrosion test conditions, comprising: obtaining a natural environment spectrum corresponding to a target area; determining a grey correlation degree between a corrosion process of a corrosion test object in a natural environment and a corrosion test of the corrosion test object in a laboratory environment, and determining a target acceleration ratio between the corrosion process and the corrosion test according to the grey correlation degree, the target acceleration ratio being used to simulate the corrosion process in an actual time period within a test time period, the test time period being shorter than the actual time period; the corrosion process corresponding to at least one reference area in a natural environment, and the corrosion test complying with at least one test standard in a laboratory environment, each test standard corresponding to a same mechanism; determining a corrosion test condition corresponding to the target area and applicable to the corrosion test object according to the natural environment spectrum and the target acceleration ratio, the corrosion test condition including a corresponding target test time period, the target test time period being negatively correlated with the target acceleration ratio; and the determining of the grey correlation degree between the corrosion process of the corrosion test object in the natural environment and the corrosion test of the corrosion test object in the laboratory environment, comprising: determining the grey correlation degree of each comparison combination respectively, there being at least one difference between the reference area and the test standard corresponding to any comparison combination; the determining of the target acceleration ratio between the corrosion process and the corrosion test according to the grey correlation degree, comprising: determining an acceleration ratio of each comparison combination respectively; selecting an acceleration ratio corresponding to a comparison combination with a higher grey correlation degree than a preset correlation degree threshold from the determined acceleration ratios, and determining an acceleration ratio within a preset ratio range from the selected acceleration ratios as the target acceleration ratio. 2.The method of claim 1, the determining of the acceleration ratio of each comparison combination respectively, comprising: fitting test data in each corrosion test, the test data being a corrosion state of the corrosion test object in each corrosion test within the test time period; and substituting actual data in each corrosion process into a fitting result corresponding to each corrosion test respectively to determine the acceleration ratio of each comparison combination, the actual data being a corrosion state of the corrosion test object in the corresponding reference area within the actual time period. 3.The method of claim 2, the corrosion state being a thickness loss amount of the corrosion test object at a preset time point. 4.The method of claim 1, the obtaining of the natural environment spectrum corresponding to the target area, comprising: obtaining an original environment spectrum corresponding to the target area, the original environment spectrum including original data collected from the target area; and performing equivalent acceleration processing on the original data in the original environment spectrum according to a preset equivalent conversion coefficient, and taking the processed original environment spectrum as the natural environment spectrum. 5.The method of claim 1, the natural environment spectrum including climate data and chemical data corresponding to each corrosion scene of the target area within a preset period. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ The climate data comprises: accumulated duration of each preset temperature and humidity combination corresponding to the corrosion scene; The chemical data comprises: average pH value, total salt content, pollution days and pollution-free days ratio of the target area in a preset period.

6. The method of claim 1, wherein the corrosion test corresponding to the corrosion test condition is a cyclic salt spray test, and the cyclic salt spray test complies with any one of the following standards: national standard GB 10125, Volkswagen standard PV 1210, Nissan engineering standard M0158.

7. A device for calculating corrosion test conditions, comprising: an environment spectrum acquisition unit configured to acquire a natural environment spectrum corresponding to a target area; a purpose acceleration ratio determination unit configured to determine a grey correlation degree between a corrosion process of a corrosion test object in a natural environment and a corrosion test of the corrosion test object in a laboratory environment, and determine a purpose acceleration ratio between the corrosion process and the corrosion test according to the grey correlation degree, the purpose acceleration ratio being used to simulate the corrosion process in an actual duration in a test duration of the corrosion test, the test duration being shorter than the actual duration; the corrosion process corresponding to at least one reference area in a natural environment, and the corrosion test complying with at least one test standard in a laboratory environment, each test standard corresponding to the same mechanism; a corrosion test condition determination unit configured to determine a corrosion test condition corresponding to the target area and applicable to the corrosion test object according to the natural environment spectrum and the purpose acceleration ratio, the corrosion test condition comprising a corresponding purpose test duration, the purpose test duration being negatively correlated with the purpose acceleration ratio; The device further comprises: a grey correlation degree determination unit configured to determine a grey correlation degree of each comparison combination respectively, the reference area and the test standard corresponding to any comparison combination being different in at least one aspect; an acceleration ratio screening unit configured to determine an acceleration ratio of each comparison combination respectively; screening the acceleration ratio corresponding to the comparison combination with a grey correlation degree higher than a preset correlation degree threshold from the determined acceleration ratios, and determining an acceleration ratio within a preset ratio range from the screened acceleration ratios as the purpose acceleration ratio.

8. A computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of the method of any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1-6 when executing the program.

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