Method, device and computer equipment for evaluating the lubricating grease replacement period

Abstract

The application relates to a grease replacement cycle evaluation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: determining a plurality of test durations for performing wear tests on grease; obtaining a wear scar test curve for the grease after performing wear tests based on the test durations, the wear scar test curve being a fitting relationship curve between the test durations and wear scar test diameters; determining a wear scar diameter duration corresponding to a wear scar diameter limit value of the grease based on the wear scar test curve, the wear scar diameter limit value being determined by a grease product standard of the grease; and determining a replacement cycle prediction value of the grease according to the wear scar diameter duration corresponding to the wear scar diameter limit value and a pre-constructed grease replacement cycle prediction expression. The method can reduce the evaluation cost of the grease replacement cycle.

Description

Technical Field

[0001] This application relates to the field of grease testing technology, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for evaluating grease replacement cycle. Background Technology

[0002] Grease is a common lubricating medium for bearings and affects their service life. When the anti-wear properties of the grease are insufficient to meet the bearing's performance requirements, it needs to be replaced. Typically, grease replacement interval recommendations are provided by verifying the actual performance of the grease in use. Therefore, assessing the grease replacement interval is an important component of evaluating the actual performance of vehicle grease and has significant guiding significance for grease application.

[0003] In traditional technologies, grease replacement cycles are typically predicted through vehicle road tests or bearing bench tests. In vehicle road tests, the grease participates in bearing operation; after the target replacement cycle is reached, the grease is removed for performance testing, and the bearing wear and grease appearance are used to determine if the target replacement cycle has been reached. In bearing bench tests, the grease replacement cycle is typically determined by measuring the grease failure time, which usually requires more than 200 hours. Both vehicle road tests and bearing bench tests are expensive and time-consuming, significantly impacting product development costs. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for evaluating grease replacement cycles that can reduce product development costs, in order to address the aforementioned technical problems.

[0005] Firstly, this application provides a method for evaluating the replacement cycle of a lubricating grease. The method includes:

[0006] Determine multiple test durations for wear testing of lubricating grease;

[0007] After obtaining the wear test based on each of the test durations, a wear mark test curve for the grease is obtained. The wear mark test curve is a fitting relationship curve between each of the test durations and the wear mark test diameter.

[0008] Based on the wear track test curve, the wear track diameter duration corresponding to the wear track diameter limit of the grease is determined, and the wear track diameter limit is determined by the grease product standard of the grease.

[0009] The predicted replacement cycle value of the grease is determined based on the wear mark diameter duration corresponding to the wear mark diameter limit and the pre-constructed grease replacement cycle prediction expression.

[0010] In one embodiment, determining multiple test durations for the wear test of the lubricating grease includes: obtaining the wear mark test diameter of the lubricating grease after a wear test of a preset standard duration; comparing the wear mark test diameter with a wear mark diameter limit corresponding to the lubricating grease to obtain a comparison result; and determining multiple test durations for the wear test of the lubricating grease based on the comparison result.

[0011] In one embodiment, determining multiple test durations for the wear test of the lubricating grease based on the comparison result includes: if the comparison result shows that the difference between the wear mark test diameter and the wear mark diameter limit is greater than a first diameter threshold, then determining multiple test durations for the wear test of the lubricating grease based on a first duration range; if the comparison result shows that the difference between the wear mark test diameter and the wear mark diameter limit is less than a second diameter threshold, then determining multiple test durations for the wear test of the lubricating grease based on a second duration range; if the comparison result shows that the difference between the wear mark test diameter and the wear mark diameter limit is equal to a third diameter threshold, then determining multiple test durations for the wear test of the lubricating grease based on a third duration range, wherein the third duration range includes the first duration range and the second duration range, and the first duration range is less than the second duration range.

[0012] In one embodiment, determining the wear diameter duration corresponding to the wear diameter limit of the lubricating grease based on the wear test curve includes: performing a correlation analysis on each test duration and each wear test diameter of the wear test curve to determine the correlation coefficient between each test duration and each wear test diameter; if the correlation coefficient satisfies a preset correlation condition, then constructing a wear diameter expression with test duration as the independent variable and wear test diameter as the dependent variable based on each test duration and each wear test diameter; and determining the wear diameter duration corresponding to the wear diameter limit based on the wear diameter limit and the wear diameter expression.

[0013] In one embodiment, the method further includes:

[0014] If the correlation coefficient does not meet the preset correlation condition, then after re-determining multiple test durations for the wear test of the grease, return to the step of obtaining the wear test curve of the grease after the wear test based on each of the test durations, until the correlation coefficient meets the preset correlation condition.

[0015] In one embodiment, the method for determining the grease replacement cycle prediction expression includes:

[0016] Determine the test duration for multiple samples of lubricating grease to be subjected to wear tests;

[0017] After conducting wear tests based on the test duration of each sample, obtain the sample wear mark test curve for each sample grease, wherein the sample wear mark test curve is the fitting relationship curve between the test duration of each sample and the wear mark test diameter;

[0018] Correlation analysis was performed on the sample test duration and wear test diameter of each wear test curve to determine the first sample correlation coefficient between the sample test duration and wear test diameter of each wear test curve.

[0019] If the correlation coefficient of each first sample satisfies the preset correlation condition of the first sample, then based on the test duration and wear test diameter of each sample, a characteristic expression of the wear test diameter of each sample grease is constructed, with the test duration as the independent variable and the wear test diameter as the dependent variable.

[0020] Based on the sample wear track diameter limit and the sample wear track diameter characteristic expression of each sample grease, the sample wear track diameter duration corresponding to the sample wear track diameter limit of each sample grease is obtained.

[0021] Based on the sample wear mark diameter duration corresponding to each of the sample wear mark diameter limits, a grease replacement cycle prediction expression is determined.

[0022] In one embodiment, determining the grease replacement cycle prediction expression based on the sample wear track diameter duration corresponding to each of the sample wear track diameter limits includes:

[0023] Obtain the theoretical replacement cycle of the lubricating grease for each of the samples;

[0024] A correlation analysis was performed on the theoretical replacement cycle and the sample wear track diameter duration corresponding to the wear track diameter limit of each sample to determine the second sample correlation coefficient between the theoretical replacement cycle and the sample wear track diameter duration corresponding to the wear track diameter limit.

[0025] If the correlation coefficient of the second sample meets the preset correlation condition of the second sample, then based on the theoretical replacement cycle and the sample wear mark diameter duration, a grease replacement cycle prediction expression is constructed with the sample wear mark diameter duration as the independent variable and the theoretical replacement cycle as the dependent variable.

[0026] Secondly, this application also provides an apparatus for evaluating the grease replacement cycle. The apparatus includes:

[0027] The first duration determination module is used to determine multiple test durations for wear testing of lubricating grease;

[0028] The curve acquisition module is used to acquire the wear mark test curve for the lubricating grease after the wear test is performed based on each of the test durations. The wear mark test curve is the fitting relationship curve between each of the test durations and the wear mark test diameter.

[0029] The second duration determination module is used to determine the wear diameter duration corresponding to the wear diameter limit of the grease based on the wear test curve, wherein the wear diameter limit is determined by the grease product standard of the grease.

[0030] The prediction module is used to determine the predicted value of the grease replacement cycle based on the wear mark diameter duration corresponding to the wear mark diameter limit and a pre-constructed grease replacement cycle prediction expression.

[0031] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the above-described method for evaluating the grease replacement cycle.

[0032] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the above-described method for evaluating the grease replacement cycle.

[0033] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the above-described method for evaluating the grease replacement cycle.

[0034] The aforementioned method, apparatus, computer equipment, storage medium, and computer program product for evaluating grease replacement cycles determine multiple test durations for wear testing of the grease; after wear testing based on each test duration, a wear track test curve for the grease is obtained, which is a fitting relationship curve between each test duration and the wear track diameter; based on the wear track test curve, the wear track diameter limit corresponding to the wear track diameter limit of the grease is determined, and the wear track diameter limit is determined by the grease product standard; according to the wear track diameter limit corresponding to the wear track diameter duration and a pre-constructed grease replacement cycle prediction expression, the predicted grease replacement cycle value is determined. Specifically, by determining multiple test durations for wear testing of the grease to obtain the wear track test curve, determining the wear track diameter duration based on the wear track test curve, and determining the predicted grease replacement cycle value according to the wear track diameter duration and the pre-constructed grease replacement cycle expression, the predicted grease replacement cycle can be determined without incurring high testing costs and long testing times, effectively reducing the development cost of long-life greases. Attached Figure Description

[0035] Figure 1 This is a diagram illustrating the application environment of a method for evaluating grease replacement intervals in one embodiment.

[0036] Figure 2 This is a flowchart illustrating a method for evaluating the grease replacement cycle in one embodiment;

[0037] Figure 3 This is a flowchart illustrating the steps for evaluating the grease replacement cycle in one embodiment.

[0038] Figure 4 This is a schematic diagram of the fitting curve for an evaluation method of grease replacement cycle in one embodiment;

[0039] Figure 5 This is a schematic diagram of the fitting curve for the evaluation method of grease replacement cycle in another embodiment;

[0040] Figure 6 This is a structural block diagram of a device for evaluating the grease replacement cycle in one embodiment;

[0041] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0043] The grease replacement cycle method provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located in the cloud or on another network server. Terminal 102 and server 104 can be used individually to execute the grease replacement cycle evaluation method of this application, or they can work together to execute the grease replacement cycle evaluation method of this application. Taking the evaluation method for the grease replacement cycle in this application executed independently by terminal 102 or server 104 as an example, when specifically determining the predicted value of the grease replacement cycle, terminal 102 or server 104 determines multiple test durations for the wear test on the grease; after obtaining the wear test based on each test duration, a wear mark test curve for the grease is obtained, which is a fitting relationship curve between each test duration and the wear mark test diameter; based on the wear mark test curve, the wear mark diameter limit corresponding to the wear mark diameter limit of the grease is determined, and the wear mark diameter limit is determined by the grease product standard; according to the wear mark diameter limit corresponding to the wear mark diameter duration and the pre-constructed grease replacement cycle prediction expression, the predicted value of the grease replacement cycle is determined.

[0044] The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle systems. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0045] In one embodiment, such as Figure 2 As shown, a method for evaluating the grease replacement cycle is provided, which is applied to computer equipment (specifically, the computer equipment may be...) Figure 1 Taking a terminal or server as an example, the following steps are included:

[0046] Step S202: Determine multiple test durations for the wear test of the grease.

[0047] The test duration refers to the duration of the wear test on the lubricating grease. The wear test can refer to the four-ball friction wear test. For the lubricating grease, by determining multiple corresponding test durations, the wear mark test diameter of the lubricating grease under each test duration is obtained. Subsequently, the computer equipment can analyze the relationship between the test duration and the wear mark test diameter. Generally, the number of test durations can be 5 or more to facilitate the subsequent regression analysis by the computer equipment. The specific number of test durations can be adaptively adjusted according to the actual assessment accuracy requirements of the replacement cycle prediction value and the actual situation of the wear test.

[0048] Specifically, during the four-ball friction and wear test, the testing equipment can be adjusted to set parameters such as test temperature, test load, test speed, and test time. Specifically, the test temperature range can be 60℃-90℃, preferably 75℃; the test load range can be 294N-784N, preferably 392N; and the test speed range can be 400r / min-1500r / min, preferably 1200r / min. The test temperature can be the reference bearing operating temperature of the testing equipment, 75℃ can be the average temperature of the bearing during normal operation, and the test load can be the load used in the maximum non-seizure load (PB value) test of the reference bearing. The test speed can refer to the speed range that the reference bearing may cover during operation. When the testing equipment operates with the preferred parameters, the test results are more comparable and can improve the accuracy of subsequent replacement cycle predictions.

[0049] Step S204: After conducting wear tests based on each test duration, obtain the wear mark test curve for the lubricating grease. The wear mark test curve is the fitting relationship curve between each test duration and the wear mark test diameter.

[0050] Among them, the wear mark test diameter is a parameter representing the fuel properties of the lubricating grease under a certain test duration, and the wear mark test curve is a curve composed of the wear mark test diameter and the test duration. For different test durations, the computer equipment can obtain the wear mark test diameter at each test duration.

[0051] Step S206: Based on the wear track test curve, determine the wear track diameter duration corresponding to the wear track diameter limit of the grease. The wear track diameter limit is determined by the grease product standard.

[0052] The wear mark diameter limit can be determined according to the grease product standard. The computer equipment can directly determine the wear mark diameter limit of the grease based on the grease's property information, such as the type of grease. After determining the wear mark diameter limit, the computer equipment can combine the wear mark test curve to determine the wear mark diameter duration.

[0053] Step S208: Determine the predicted value of the grease replacement cycle based on the wear track diameter duration corresponding to the wear track diameter limit and the pre-constructed grease replacement cycle prediction expression.

[0054] The grease replacement cycle prediction expression can be pre-built. The computer equipment can obtain the replacement cycle prediction value by using the wear mark diameter and duration and the grease replacement cycle prediction expression. This eliminates the need for testing a large number of grease samples or conducting actual vehicle road tests, which not only effectively reduces the evaluation cost of the replacement cycle prediction value but also improves the evaluation efficiency to a certain extent.

[0055] The aforementioned method for evaluating grease replacement cycles involves determining multiple test durations for wear testing of the grease; obtaining wear track curves for the grease after wear testing at each test duration, where each test duration represents a fitted relationship between the test duration and the wear track diameter; determining the wear track diameter limit corresponding to the grease's wear track diameter duration based on the wear track diameter limit, which is determined by the grease's product standard; and determining the predicted grease replacement cycle value based on the wear track diameter duration corresponding to the wear track diameter limit and a pre-constructed grease replacement cycle prediction expression. By determining multiple test durations for wear testing of the grease to obtain the wear track curve, determining the wear track diameter duration based on the wear track curve, and determining the predicted grease replacement cycle value based on the wear track diameter duration and the pre-constructed grease replacement cycle expression, the predicted grease replacement cycle can be determined without incurring high testing costs and long testing times, effectively reducing the development cost of long-life greases.

[0056] In one embodiment, determining multiple test durations for wear testing of the lubricating grease includes: obtaining the wear mark test diameter of the lubricating grease after a wear test of a preset standard duration; comparing the wear mark test diameter with the wear mark diameter limit corresponding to the lubricating grease to obtain a comparison result; and determining multiple test durations for wear testing of the lubricating grease based on the comparison result.

[0057] The preset standard duration can be determined according to ASTM D2266 (standard test). The preset standard duration can be 1 hour or 2 hours. The specific preset standard duration can be determined according to the actual situation of the wear test, as long as the test duration can be easily determined. The computer equipment can obtain the wear mark test diameter after the wear test of the lubricating grease for the preset standard duration, and compare it with the wear mark test diameter limit to determine the test duration.

[0058] In the above embodiments, the computer device determines the preset standard duration through the lubricating grease product standard, and then obtains the wear mark test diameter obtained after the wear test is performed for the preset standard duration. Thus, by comparing the wear mark test diameter with the wear mark test diameter limit, the test duration can be quickly and conveniently determined.

[0059] In one embodiment, determining multiple test durations for wear testing of the lubricating grease based on comparison results includes: if the difference between the wear mark test diameter and the wear mark diameter limit is greater than a first diameter threshold, then determining multiple test durations for wear testing of the lubricating grease based on a first duration range; if the difference between the wear mark test diameter and the wear mark diameter limit is less than a second diameter threshold, then determining multiple test durations for wear testing of the lubricating grease based on a second duration range; if the difference between the wear mark test diameter and the wear mark diameter limit is equal to a third diameter threshold, then determining multiple test durations for wear testing of the lubricating grease based on a third duration range, wherein the third duration range includes the first duration range and the second duration range, and the first duration range is less than the second duration range.

[0060] The first diameter threshold, the second diameter threshold, and the third diameter threshold can be set values ​​used to judge the difference between the wear mark test diameter and the wear mark diameter limit. The first diameter threshold, the second diameter threshold, and the third diameter threshold can be the same or different. The specific diameter threshold setting can be determined based on the evaluation accuracy of the grease replacement cycle prediction value.

[0061] The difference between the wear mark test diameter and the wear mark diameter limit varies, and the corresponding test duration will also be different. The specific test duration can be determined from three test ranges. The third test duration range includes the first test duration range and the second test duration range, and the first test duration range is shorter than the second test duration range. As the test duration increases, the change in the wear mark diameter tends to stabilize. When the wear mark diameter and the wear mark diameter limit are greater than the first diameter threshold, it indicates a large difference between the wear mark diameter and the wear mark diameter limit. To avoid excessive variation and the inability to find a wear mark diameter duration closest to the wear mark diameter, a smaller duration range, i.e., the first duration range, needs to be selected. When the wear mark diameter and the wear mark diameter limit are less than the second diameter threshold, it indicates a small difference between the wear mark diameter and the wear mark diameter limit. When the wear mark diameter and the wear mark diameter limit are equal to the second diameter threshold, it indicates no difference between the wear mark diameter and the wear mark diameter limit. Therefore, to avoid spending a lot of time without finding a wear mark diameter duration closest to the wear mark diameter limit, a larger duration range can be selected: the second duration range when the difference is small, and the third duration range when there is no difference.

[0062] Specifically, the first, second, and third diameter thresholds can be set to be the same, such as 0.1 mm. When the difference between the wear mark test diameter and the wear mark diameter limit is greater than 0.1 mm, it indicates a large gap between the wear mark test diameter and the wear mark diameter limit. The computer equipment can determine the test duration based on the first duration range, which can be 0.1 h to 2 h. When determining the test duration based on the first duration range, the time interval between each test duration can be small, but not less than 5 minutes. When the difference between the wear mark test diameter and the wear mark diameter limit is less than 0.1 mm, it indicates a small gap between the wear mark test diameter and the wear mark diameter limit. The computer equipment can determine the test duration based on the second duration range, which can be 1 h to 12 h. When determining the test duration based on the second duration range, the time interval between each test duration can be appropriately increased, but not less than 1 h. When the difference between the wear mark test diameter and the wear mark diameter limit is equal to 0.1 mm, it indicates that there is no difference between the wear mark test diameter and the wear mark diameter limit. The computer equipment can determine the test duration based on the third duration range, which can be 0.1 h to 12 h. When determining the test duration based on the third duration range, if the selected test duration is less than 1 h, the time interval between each test duration should not be less than 5 min. If the selected test duration is greater than 1 h, the time interval between each test duration should not be less than 1 h.

[0063] In the above embodiments, the computer device selects a corresponding time range based on the actual difference between the wear mark test diameter and the wear mark diameter limit to determine the test duration. This allows the wear mark diameter duration corresponding to the wear mark diameter limit to be obtained relatively accurately in a shorter time, thereby improving the evaluation efficiency of the grease replacement cycle.

[0064] In one embodiment, determining the wear diameter duration corresponding to the wear diameter limit of the lubricating grease based on the wear track test curve includes: performing a correlation analysis on each test duration and each wear track test diameter of the wear track test curve to determine the correlation coefficient between each test duration and each wear track test diameter; if the correlation coefficient meets a preset correlation condition, then constructing a wear track diameter expression with the test duration as the independent variable and the wear track test diameter as the dependent variable based on each test duration and each wear track test diameter; and determining the wear diameter duration corresponding to the wear track diameter limit based on the wear track diameter limit and the wear track diameter expression.

[0065] Correlation analysis can refer to the linear or nonlinear regression analysis performed by computer equipment on the test duration and the diameter of each wear mark. The correlation coefficient can be a parameter used to characterize the correlation between the test duration and the diameter of the wear mark. Specifically, the larger the correlation coefficient, the greater the correlation between the test duration and the diameter of the wear mark. The preset correlation condition can be whether the correlation coefficient reaches a preset correlation coefficient threshold.

[0066] Specifically, after the computer equipment performs linear or nonlinear regression analysis on the test duration and wear mark test diameter, it can obtain the correlation coefficient. If the correlation condition is whether the correlation coefficient reaches 0.85, then when the correlation coefficient is greater than or equal to 0.85, it indicates that the correlation between the test duration and the wear mark test diameter is high. The computer equipment can construct an expression for the wear mark diameter with the test duration as the independent variable and the wear mark test diameter as the dependent variable. The wear mark diameter expression can be a logarithmic equation or a linear equation. The specific expression needs to be determined based on the actual correlation coefficient. After determining the wear mark diameter expression, the computer equipment can substitute the wear mark diameter limit into the wear mark diameter expression to determine the wear mark diameter duration corresponding to the wear mark diameter limit.

[0067] In the above embodiments, when the computer device determines that the correlation between the test duration and the wear mark test diameter is high, it indicates that there is a high covariance relationship between the test duration and the wear mark test diameter. Therefore, a wear mark diameter expression with the test duration as the independent variable and the wear mark test diameter as the dependent variable can be constructed. By substituting the wear mark diameter limit into the wear mark diameter expression, the wear mark diameter duration corresponding to the wear mark diameter limit can be accurately determined.

[0068] In one embodiment, the method further includes: if the correlation coefficient does not meet the preset correlation condition, after re-determining multiple test durations for the wear test of the grease, returning to the step of obtaining the wear mark test curve of the grease obtained after the wear test based on each test duration, until the correlation coefficient meets the preset correlation condition.

[0069] In this process, after the computer equipment performs linear or nonlinear regression analysis on the test duration and the wear test diameter, a correlation coefficient can be obtained. If the correlation condition is whether the correlation coefficient reaches 0.85, then when the correlation coefficient is less than 0.85, it indicates that the correlation between the test duration and the wear test diameter is weak. The computer equipment can then redetermine each test duration and then re-obtain the wear test curve of the lubricating grease after the wear test based on the test duration, until the correlation coefficient is greater than or equal to 0.85.

[0070] In the above embodiments, when the computer device determines that the correlation between the test duration and the wear mark test diameter is weak, it will re-determine each test duration and re-acquire the wear mark test curve of the lubricating grease obtained after the wear test based on the test duration, until the correlation coefficient is greater than or equal to 0.85, so that the covariance relationship between the test duration and the wear mark test diameter in constructing the wear mark diameter expression is high, thereby improving the accuracy of determining the wear mark diameter duration.

[0071] In one embodiment, such as Figure 3 As shown, the method for determining the expression for predicting the grease replacement cycle includes the following steps:

[0072] Step S302: Determine the test duration for multiple samples of lubricating grease to be subjected to wear tests.

[0073] When determining the prediction expression for the grease replacement cycle, multiple sample greases with known replacement cycles can be selected. The number of sample greases can be adjusted adaptively according to the actual test conditions. For example, six sample greases can be selected: grease A, grease B, grease C, grease D, grease E, and grease F. The theoretical replacement cycle of the greases can be: grease A < grease B < grease C < grease D < grease F < grease E.

[0074] Step S304: Obtain the sample wear test curve of each sample grease after the wear test based on the test duration of each sample. The sample wear test curve is the fitting relationship curve between the test duration of each sample and the wear test diameter.

[0075] For each sample of lubricating grease, the computer equipment can obtain the sample wear track test curve of the sample lubricating grease. The sample wear track test curve is a curve composed of the wear track test diameter and the sample test duration. For different sample test durations, the computer equipment can obtain the wear track test diameter at each sample test duration.

[0076] Specifically, such as Figure 4 The figures shown are the wear track test curves for greases A, B, C, D, E, and F, respectively. Figure 4 The horizontal axis Time (h) represents the sample test time per hour, and the vertical axis WSD (mm) represents the wear mark test diameter per mm. Figure 4As can be seen, the size of the wear mark test diameter is significantly correlated with the grease replacement cycle. That is, the wear mark diameter of greases with longer replacement cycles is smaller. As the test duration increases, the wear mark test diameter increases. The rate of increase of the wear mark test diameter of the sample greases is also significantly correlated with the grease replacement cycle. That is, the rate of increase of the wear mark test diameter of greases with longer replacement cycles is smaller. Grease A has the shortest replacement cycle, the largest wear mark test diameter, and the largest rate of increase of the wear mark test diameter. Grease E has the longest replacement cycle, the smallest wear mark test diameter, and the smallest rate of increase of the wear mark test diameter.

[0077] Step S306: Perform correlation analysis on the sample test duration and wear test diameter of each wear test curve to determine the first sample correlation coefficient between the sample test duration and wear test diameter of each wear test curve.

[0078] For each sample of lubricating grease, the computer equipment can perform linear or nonlinear regression analysis on the sample test duration and wear mark test diameter to obtain the corresponding first sample correlation coefficient.

[0079] Step S308: If the correlation coefficient of each first sample satisfies the preset correlation condition of the first sample, then based on the test duration and wear test diameter of each sample, construct a characteristic expression for the wear diameter of each sample grease with the test duration as the independent variable and the wear test diameter as the dependent variable.

[0080] The first sample correlation coefficient can be the same as or different from the first sample correlation coefficient. For example, it can be any value close to 1, such as 0.85, 0.9, or 0.95. The first sample preset correlation condition can be whether the first sample correlation coefficient reaches the first sample correlation coefficient threshold. For each sample of lubricating grease, the computer equipment performs linear or nonlinear regression analysis on the sample test duration and the wear mark test diameter to obtain the corresponding first sample correlation coefficient. If the first sample preset correlation condition is whether the first sample correlation coefficient reaches 0.85, then when the first sample correlation coefficient is greater than or equal to 0.85, it indicates that the sample test duration and the wear mark test diameter are highly correlated. The computer equipment can construct a sample wear mark diameter expression with the sample test duration as the independent variable and the wear mark test diameter as the dependent variable. The sample wear mark diameter expression can be a logarithmic equation or a linear equation. The specific expression needs to be determined based on the actual first sample correlation coefficient.

[0081] Step S310: Based on the sample wear track diameter limit and the sample wear track diameter characteristic expression of each sample grease, obtain the sample wear track diameter duration corresponding to the sample wear track diameter limit of each sample grease.

[0082] Once the sample wear track diameter expression is determined, the computer equipment can substitute the sample wear track diameter limit of each sample grease into the corresponding sample wear track diameter expression to determine the sample wear track diameter duration corresponding to each sample wear track diameter limit.

[0083] Step S312: Based on the sample wear track diameter duration corresponding to the wear track diameter limit of each sample, determine the grease replacement cycle prediction expression.

[0084] The computer equipment can determine the grease replacement cycle prediction expression based on the sample wear mark diameter duration corresponding to the wear mark diameter limit of each sample.

[0085] In the above embodiments, when determining the grease replacement cycle prediction expression, the computer device selected multiple sample greases for wear tests, and constructed the grease replacement cycle prediction expression based on the results of the wear tests, thereby improving the accuracy of the grease replacement cycle prediction expression.

[0086] In one embodiment, a grease replacement cycle prediction expression is determined based on the sample wear track diameter duration corresponding to the wear track diameter limit of each sample, including: obtaining the theoretical replacement cycle of each sample grease; performing a correlation analysis on each theoretical replacement cycle and the sample wear track diameter duration corresponding to each sample wear track diameter limit to determine a second sample correlation coefficient between the theoretical replacement cycle and the sample wear track diameter duration corresponding to the wear track diameter limit; if the second sample correlation coefficient satisfies the second sample preset correlation condition, then based on the theoretical replacement cycle and the sample wear track diameter duration, a grease replacement cycle prediction expression is constructed with the sample wear track diameter duration as the independent variable and the theoretical replacement cycle as the dependent variable.

[0087] The theoretical replacement cycle of the sample grease is determined when the sample grease is selected. The correlation coefficient of the second sample can be the same as or different from that of the first sample. For example, it can be any value close to 1, such as 0.85, 0.9, or 0.95. The preset correlation condition for the second sample can be whether the correlation coefficient of the second sample reaches the threshold of the second sample correlation coefficient. The computer equipment can perform linear or nonlinear regression analysis on the theoretical replacement cycle and the sample wear diameter duration corresponding to the wear diameter limit to obtain the correlation coefficient of the second sample. If the preset correlation condition for the second sample is whether the correlation coefficient of the second sample reaches 0.85, then when the correlation coefficient of the second sample is greater than or equal to 0.85, it indicates that the correlation between the theoretical replacement cycle and the sample wear diameter duration corresponding to the wear diameter limit is high. The computer equipment can construct a grease replacement cycle prediction expression with the sample wear diameter duration as the independent variable and the theoretical replacement cycle as the dependent variable. The grease replacement cycle prediction expression can be a logarithmic equation or a linear equation. The specific expression needs to be determined based on the actual correlation coefficient of the second sample. Furthermore, if the correlation coefficient of the second sample does not meet the preset correlation condition of the second sample, the computer device can redetermine the test duration of multiple samples of lubricating grease for wear testing, and then return to the step of obtaining the sample wear test curve of each sample lubricating grease after the wear test based on the test duration of each sample and continue to execute until the correlation coefficient of each first sample meets the preset correlation condition of the first sample and the correlation coefficient of the second sample meets the preset correlation condition of the second sample and then stops.

[0088] Specifically, such as Figure 5 As shown, this is the fitting curve between the theoretical replacement cycle and the sample wear diameter duration corresponding to the wear diameter limit of each sample. The horizontal axis WSD Time (h) is the sample wear diameter duration corresponding to the sample wear diameter limit, and the vertical axis oil drain interval is the theoretical replacement cycle. There is a parabolic relationship between the theoretical replacement cycle and the sample wear diameter duration corresponding to the wear diameter limit of each sample. The second sample correlation coefficient between the two is 0.99923.

[0089] In the above embodiments, when the computer device determines that the theoretical replacement cycle and the sample wear mark diameter duration corresponding to the wear mark diameter limit are highly correlated, it indicates that the theoretical replacement cycle and the sample wear mark diameter duration corresponding to the wear mark diameter limit have a high covariance relationship. Therefore, a grease replacement cycle prediction expression can be constructed. By substituting the wear mark diameter duration into the grease replacement cycle prediction expression, the grease replacement cycle prediction value can be accurately determined.

[0090] In one embodiment, to illustrate the method for evaluating the grease replacement cycle, the following steps for evaluating the grease replacement cycle are provided in a complete embodiment:

[0091] First, the test equipment for the four-ball friction and wear test can be debugged. The test temperature is set to 75℃, the test load to 392N, the test speed to 1200r / min, and the test time to 1h. Then, six sample greases with known replacement cycles are selected, namely grease A, grease B, grease C, grease D, grease E, and grease F. Theoretically, the replacement cycle of the grease can be: grease A < grease B < grease C < grease D < grease F < grease E.

[0092] For each sample of grease, the computer equipment can obtain the sample wear track test curve of the sample grease. The sample wear track test curve is a curve composed of the wear track test diameter and the sample test duration. For different sample test durations, the computer equipment can obtain the wear track test diameter at each sample test duration.

[0093] When determining the sample test duration, a four-ball friction and wear test with a test time of 1 hour can be conducted according to ASTM D2266 to obtain the 1-hour wear mark diameters of 6 sample greases. The 6 1-hour wear mark diameters are then compared with the sample wear mark diameter limit in the grease product standard to determine the sample test duration. Specifically: when the difference between the 1-hour wear mark diameter and the sample wear mark diameter limit is greater than 0.1 mm, the sample test duration can be 30 min, 15 min, or 10 min; when the difference is less than 0.1 mm, the sample test duration can be 2 h, 3 h, 4 h, 5 h, 6 h, 7 h, or 8 h; when the difference is equal to 0.1 mm, the sample test duration can be 10 min, 15 min, 30 min, 2 h, 3 h, 4 h, 5 h, 6 h, 7 h, or 8 h, etc.

[0094] Furthermore, for each sample of lubricating grease, the computer equipment can obtain a sample wear track test curve. This curve is composed of the wear track diameter and the test duration. For different test durations, the computer equipment can obtain the wear track diameter at each test duration. The computer equipment can perform linear or nonlinear regression analysis on each obtained sample wear track test curve to obtain the characteristic curve equation of the lubricating grease wear track diameter and its correlation coefficient. When the first sample correlation coefficient between the test duration and the wear track diameter is not less than 0.85, the regression analysis is complete, and the characteristic curve equation of the sample wear track diameter is determined.

[0095] Once the characteristic curve equation of the wear track diameter is determined, the computer equipment can substitute the wear track diameter limit of each sample grease into the corresponding characteristic curve equation of the wear track diameter to determine the wear track diameter duration corresponding to each wear track diameter limit.

[0096] Furthermore, the computer equipment can determine the grease replacement cycle prediction equation (i.e., the grease replacement cycle prediction expression) based on the sample wear mark diameter duration and the theoretical replacement cycle of each sample grease. The computer equipment can perform linear or nonlinear regression analysis on the theoretical replacement cycle and the sample wear mark diameter duration corresponding to the wear mark diameter limit to obtain the corresponding second sample correlation coefficient. If the second sample correlation condition is whether the second sample correlation coefficient reaches 0.85, then when the second sample correlation coefficient is greater than or equal to 0.85, it indicates that the correlation between the theoretical replacement cycle and the sample wear mark diameter duration corresponding to the wear mark diameter limit is high. The computer equipment can construct a grease replacement cycle prediction equation with the sample wear mark diameter duration as the independent variable and the theoretical replacement cycle as the dependent variable. The grease replacement cycle prediction equation can be a logarithmic equation or a linear equation. The specific equation needs to be determined based on the actual second sample correlation coefficient.

[0097] When predicting the replacement cycle of grease in practice, computer equipment can directly substitute the wear mark diameter and duration of any grease into the grease replacement cycle prediction equation, which can accurately determine the predicted value of the grease replacement cycle. Predicting the grease replacement cycle through four-ball friction and wear tests can effectively reduce the number of samples in vehicle road tests, bearing bench tests, FE8 tests, FE9 tests, etc., shorten the grease verification cycle, reduce development costs, and solve the problems of low efficiency and high development cost in the development of long-life greases.

[0098] Table 1 compares the predicted replacement cycle of a grease sample obtained in this embodiment with the results of vehicle road tests. As shown in Table 1, by selecting the wear track diameter and duration of any grease G and substituting it into the grease replacement cycle prediction equation, the predicted value differs from the measured value obtained from the vehicle road test by only 14.5%. This indicates that the grease replacement cycle prediction method based on the four-ball friction and wear test can be used as a basis for grease replacement cycle evaluation within an 85% confidence interval. Therefore, it can be used to guide the development and formulation screening of long-life greases, reduce the number of test samples in the grease development process, shorten the grease screening cycle, and reduce the development cost of long-life greases.

[0099] Table 1

[0100]

[0101] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0102] Based on the same inventive concept, this application also provides a grease replacement cycle evaluation device for implementing the above-described method for evaluating grease replacement cycles. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more embodiments of the grease replacement cycle evaluation device provided below can be found in the limitations of the grease replacement cycle evaluation method described above, and will not be repeated here.

[0103] In one embodiment, such as Figure 6 As shown, a device 600 for evaluating grease replacement cycles is provided, comprising: a first duration determination module, a curve acquisition module, a second duration determination module, and a prediction module, wherein:

[0104] The first duration determination module 602 is used to determine multiple test durations for wear testing of lubricating grease.

[0105] The curve acquisition module 604 is used to acquire the wear test curve for the lubricating grease after the wear test is carried out based on each test duration. The wear test curve is the fitting relationship curve between each test duration and the wear test diameter.

[0106] The second duration determination module 606 is used to determine the wear diameter duration corresponding to the wear diameter limit of the grease based on the wear test curve. The wear diameter limit is determined by the grease product standard.

[0107] The prediction module 608 is used to determine the predicted value of the grease replacement cycle based on the wear mark diameter duration corresponding to the wear mark diameter limit and the pre-constructed grease replacement cycle prediction expression.

[0108] In one embodiment, the first duration determination module is further configured to obtain the wear mark test diameter of the grease after a wear test of a preset standard duration; compare the wear mark test diameter with the wear mark diameter limit corresponding to the grease to obtain a comparison result; and determine multiple test durations for the wear test of the grease based on the comparison result.

[0109] In one embodiment, the first duration determination module is further configured to: if the comparison result shows that the difference between the wear mark test diameter and the wear mark diameter limit is greater than a first diameter threshold, determine multiple test durations for the wear test of the grease based on a first duration range; if the comparison result shows that the difference between the wear mark test diameter and the wear mark diameter limit is less than a second diameter threshold, determine multiple test durations for the wear test of the grease based on a second duration range; and if the comparison result shows that the difference between the wear mark test diameter and the wear mark diameter limit is equal to a third diameter threshold, determine multiple test durations for the wear test of the grease based on a third duration range, wherein the third duration range includes the first duration range and the second duration range, and the first duration range is less than the second duration range.

[0110] In one embodiment, the second duration determination module is further configured to perform correlation analysis on each test duration and each wear test diameter of the wear track test curve, and determine the correlation coefficient between each test duration and each wear test diameter; if the correlation coefficient meets the preset correlation condition, then based on each test duration and each wear test diameter, a wear track diameter expression is constructed with the test duration as the independent variable and the wear track diameter as the dependent variable; based on the wear track diameter limit and the wear track diameter expression, the wear track diameter duration corresponding to the wear track diameter limit is determined.

[0111] In one embodiment, the second duration determination module is further configured to, if the correlation coefficient does not meet the preset correlation condition, re-determine multiple test durations for the wear test of the grease, and then return to the step of obtaining the wear test curve of the grease obtained after the wear test based on each test duration, until the correlation coefficient meets the preset correlation condition.

[0112] In one embodiment, the grease replacement cycle evaluation device further includes: an expression determination module; the expression determination module is used to determine multiple sample test durations for wear tests on multiple sample greases; obtain a sample wear mark test curve for each sample grease after wear tests based on each sample test duration, wherein the sample wear mark test curve is a fitting relationship curve between each sample test duration and the wear mark test diameter; perform correlation analysis on the sample test duration and wear mark test diameter of each wear mark test curve respectively, and determine a first sample correlation coefficient between the sample test duration and wear mark test diameter of each wear mark test curve; if each first sample correlation coefficient satisfies the first sample preset correlation condition, then based on each sample test duration and wear mark test diameter, construct a sample wear mark diameter characteristic expression for each sample grease with sample test duration as the independent variable and wear mark test diameter as the dependent variable; based on the sample wear mark diameter limit and the sample wear mark diameter characteristic expression for each sample grease, obtain the sample wear mark diameter duration corresponding to the sample wear mark diameter limit for each sample grease; and determine a grease replacement cycle prediction expression based on the sample wear mark diameter duration corresponding to the sample wear mark diameter limit for each sample grease.

[0113] In one embodiment, the above expression determination module is further used to obtain the theoretical replacement cycle of each sample grease; to perform correlation analysis on each theoretical replacement cycle and the sample wear track diameter duration corresponding to each sample wear track diameter limit, and to determine the second sample correlation coefficient between the theoretical replacement cycle and the sample wear track diameter duration corresponding to the wear track diameter limit; if the second sample correlation coefficient meets the second sample preset correlation condition, then based on the theoretical replacement cycle and the sample wear track diameter duration, a grease replacement cycle prediction expression is constructed with the sample wear track diameter duration as the independent variable and the theoretical replacement cycle as the dependent variable.

[0114] Each module in the aforementioned grease replacement cycle assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0115] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 7As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for evaluating grease replacement cycles. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0116] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0117] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the above-described method for evaluating the grease replacement cycle.

[0118] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method for evaluating the grease replacement cycle.

[0119] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the above-described method for evaluating grease replacement cycles.

[0120] 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 used for analysis, data stored, data displayed, 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 the relevant data shall comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0121] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory 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), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0122] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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, they should be considered to be within the scope of this specification.

[0123] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method of evaluating a grease replacement period, characterized by, The method comprises: determining a plurality of test durations for wear testing of the lubricating grease; obtaining a wear scar test curve of the lubricating grease after wear testing based on each of the test durations, the wear scar test curve being a fitting relationship curve between each of the test durations and a wear scar test diameter; determining a wear scar diameter duration corresponding to a wear scar diameter limit value of the lubricating grease based on the wear scar test curve, the wear scar diameter limit value being determined by a lubricating grease product standard of the lubricating grease; determining a replacement cycle prediction value of the lubricating grease according to the wear scar diameter duration corresponding to the wear scar diameter limit value and a lubricating grease replacement cycle prediction expression constructed in advance; the determination manner of the lubricating grease replacement cycle prediction expression comprises: determining a plurality of sample test durations for wear testing of a plurality of sample lubricating greases; obtaining a sample wear scar test curve of each of the sample lubricating greases after wear testing based on each of the sample test durations, the sample wear scar test curve being a fitting relationship curve between each of the sample test durations and a wear scar test diameter; respectively performing correlation analysis on the sample test durations and the wear scar test diameters of each of the wear scar test curves to determine a first sample correlation coefficient between the sample test duration and the wear scar test diameter of each of the wear scar test curves; if each of the first sample correlation coefficients satisfies a first sample preset correlation condition, constructing a sample wear scar diameter characteristic expression of each of the sample lubricating greases with the sample test duration as the independent variable and the wear scar test diameter as the dependent variable based on the sample test durations and the wear scar test diameters; obtaining a sample wear scar diameter duration corresponding to a sample wear scar diameter limit value of each of the sample lubricating greases based on the sample wear scar diameter limit value and the sample wear scar diameter characteristic expression of each of the sample lubricating greases; determining the lubricating grease replacement cycle prediction expression based on the sample wear scar diameter duration corresponding to the sample wear scar diameter limit value; the determination of the lubricating grease replacement cycle prediction expression based on the sample wear scar diameter duration corresponding to the sample wear scar diameter limit value comprises: obtaining a theoretical replacement cycle of each of the sample lubricating greases; performing correlation analysis on the theoretical replacement cycle and the sample wear scar diameter duration corresponding to the sample wear scar diameter limit value to determine a second sample correlation coefficient between the theoretical replacement cycle and the sample wear scar diameter duration corresponding to the sample wear scar diameter limit value; if the second sample correlation coefficient satisfies a second sample preset correlation condition, constructing the lubricating grease replacement cycle prediction expression with the sample wear scar diameter duration as the independent variable and the theoretical replacement cycle as the dependent variable based on the theoretical replacement cycle and the sample wear scar diameter duration.

2. The method of claim 1, wherein, the determination of the plurality of test durations for wear testing of the lubricating grease comprises: obtaining a wear scar test diameter of the lubricating grease after wear testing for a preset standard duration; comparing the wear scar test diameter with a wear scar diameter limit value corresponding to the lubricating grease to obtain a comparison result; determining the plurality of test durations for wear testing of the lubricating grease according to the comparison result.

3. The method of claim 2, wherein, the determination of the plurality of test durations for wear testing of the lubricating grease according to the comparison result comprises: if the comparison result is that the difference between the wear scar test diameter and the wear scar diameter limit value is greater than a first diameter threshold value, then based on a first time length range, a plurality of test time lengths for performing wear tests on the lubricating grease are determined; if the comparison result is that the difference between the wear scar test diameter and the wear scar diameter limit value is less than a second diameter threshold value, then based on a second time length range, a plurality of test time lengths for performing wear tests on the lubricating grease are determined; if the comparison result is that the difference between the wear scar test diameter and the wear scar diameter limit value is equal to a third diameter threshold value, then based on a third time length range, a plurality of test time lengths for performing wear tests on the lubricating grease are determined, the third time length range includes the first time length range and the second time length range, and the first time length range is less than the second time length range.

4. The method of claim 1, wherein, The method further comprises: if the correlation coefficient does not satisfy the preset correlation condition, then after re-determining a plurality of test time lengths for performing wear tests on the lubricating grease, the step of obtaining the wear scar test curve of the lubricating grease after performing wear tests based on each test time length is returned to until the correlation coefficient satisfies the preset correlation condition. The device comprises: a first time length determination module configured to determine a plurality of test time lengths for performing wear tests on the lubricating grease; 5. The method of claim 4, wherein, a curve obtaining module configured to obtain a wear scar test curve of the lubricating grease after performing wear tests based on each test time length, the wear scar test curve being a fitting relationship curve between each test time length and a wear scar test diameter; a second time length determination module configured to determine, based on the wear scar test curve, a wear scar diameter time length corresponding to the wear scar diameter limit value of the lubricating grease, the wear scar diameter limit value being determined by a lubricating grease product standard of the lubricating grease; 6. A device for evaluating the replacement cycle of lubricating grease, characterized in that, a prediction module configured to determine a replacement cycle prediction value of the lubricating grease according to the wear scar diameter time length corresponding to the wear scar diameter limit value and a lubricating grease replacement cycle prediction expression constructed in advance. ​ ​ ​ ​ The expression determination module is configured to determine a plurality of sample test durations for performing wear tests on a plurality of sample greases; obtain a sample wear scar test curve of each of the sample greases after performing the wear tests based on the sample test durations, the sample wear scar test curve being a fitting relationship curve between the sample test durations and wear scar test diameters; perform correlation analysis on the sample test durations and the wear scar test diameters of each of the wear scar test curves respectively, to determine a first sample correlation coefficient between the sample test duration and the wear scar test diameter of each of the wear scar test curves; if each of the first sample correlation coefficients satisfies a first sample preset correlation condition, construct, based on the sample test durations and the wear scar test diameters, a sample wear scar diameter characteristic expression of each of the sample greases, with the sample test duration as an independent variable and the wear scar test diameter as a dependent variable; obtain, based on the sample wear scar diameter limit values and the sample wear scar diameter characteristic expressions of the sample greases, a sample wear scar diameter duration corresponding to each of the sample wear scar diameter limit values of the sample greases; and determine, based on the sample wear scar diameter durations corresponding to the sample wear scar diameter limit values, a grease replacement cycle prediction expression. The expression determination module is further configured to obtain theoretical replacement cycles of the sample greases; perform correlation analysis on the theoretical replacement cycles and the sample wear scar diameter durations corresponding to the sample wear scar diameter limit values, to determine a second sample correlation coefficient between the theoretical replacement cycle and the sample wear scar diameter duration corresponding to the wear scar diameter limit value; if the second sample correlation coefficient satisfies a second sample preset correlation condition, construct, based on the theoretical replacement cycles and the sample wear scar diameter durations, a grease replacement cycle prediction expression with the sample wear scar diameter duration as an independent variable and the theoretical replacement cycle as a dependent variable. 7.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-6 when the computer program is executed by the processor. The processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 5.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, implements the steps of the method of any one of claims 1 to 5.

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