Steel rail quality evaluation method and device based on steel rail base metal

Abstract

The invention provides a steel rail quality evaluation method and device based on steel rail base metal, and belongs to the technical field of railway tracks. The steel rail quality evaluation method based on the steel rail base metal comprises the steps that the steel rail base metal of a to-be-evaluated steel rail is inspected, and the inspection result of the steel rail base metal is obtained; obtaining the field service condition of the to-be-evaluated steel rail; calculating a steel rail base metal quality index of the to-be-evaluated steel rail based on the inspection result and the field service condition; and evaluating the steel rail quality of the to-be-evaluated steel rail based on the steel rail base metal quality index. By comprehensively considering a plurality of key performance indexes such as chemical components, mechanical properties, microscopic structures and appearance quality of the steel rail base metal, comprehensiveness and accuracy of evaluation results are ensured, and potential problems of the steel rail base metal can be found and solved in time. The dynamic monitoring mechanism can reflect the performance change of the steel rail in actual use in real time, the monitoring and analysis of the quality of the steel rail are improved, a scientific basis is provided for the maintenance and replacement of the steel rail, and the service life of the steel rail is effectively prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of railway tracks, and in particular to a method and device for evaluating rail quality based on rail parent materials. Background Art

[0002] Rails are an important part of railway tracks, carrying and guiding vehicles. With the rapid development of railways, passenger and freight transportation have shown a trend of high speed and heavy load, so the serious damage and breakage of rails directly affect the safety of driving.

[0003] Among them, rail parent material is one of the important factors affecting rail quality. However, the existing rail quality assessment method only analyzes and characterizes the inspection results of rail parent material according to railway standards, and does not take into account the on-site service conditions. It ignores the fact that the same parent material will undergo different changes after serving for a period of time under different on-site service conditions, which will affect the accuracy of the final result of rail quality assessment.

[0004] In view of this, the inventor, based on many years of production design experience in this field and related fields, has designed a rail quality assessment method and device based on rail base material after repeated experiments, in order to solve the problems existing in the prior art. Summary of the invention

[0005] The purpose of the present invention is to provide a rail quality assessment method and device based on rail parent material, which fully considers the influence of the on-site service conditions of the rail on the quality of the rail parent material and makes the influence of the rail parent material on the rail quality dynamic.

[0006] In order to achieve the above-mentioned object of the invention, the present invention proposes a rail quality assessment method based on rail parent material, wherein the rail quality assessment method based on rail parent material comprises:

[0007] Inspecting the rail base material of the rail to be evaluated and obtaining the inspection result of the rail base material;

[0008] obtaining the on-site service status of the steel rail to be evaluated;

[0009] Calculating the rail base material quality index of the evaluated rail based on the inspection result and the on-site service condition;

[0010] The rail quality of the rail to be evaluated is evaluated based on the rail base material quality index.

[0011] Compared with the prior art, the present invention has the following characteristics and advantages:

[0012] The rail quality assessment method and device based on rail parent material proposed in the present invention realizes a comprehensive and dynamic assessment of rail quality by comprehensively considering key indicators such as the chemical composition, mechanical properties, microstructure and appearance quality of the rail parent material. This method can monitor the performance changes of the rail in real time, accurately predict its service performance and potential problems, effectively prevent and solve common faults such as fracture and wear, thereby significantly improving the service life and performance of the rail. At the same time, by integrating third-party test data, the objectivity and accuracy of the assessment are enhanced. The present invention can not only guide steel mills to optimize production processes and improve product quality, but also provide a scientific basis for railway maintenance and improve maintenance efficiency. In addition, the implementation of the present invention improves the safety of railway transportation, encourages continuous research and technological innovation on rail parent materials, supports the sustainable development of the railway industry, and adapts to diverse railway lines and environmental conditions. In general, the present invention improves the efficiency and accuracy of the assessment of rail parent material quality, and provides strong support for technological progress and safe operation in the railway industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings described herein are only for explanation purposes and are not intended to limit the scope of the present invention in any way. In addition, the shapes and proportional dimensions of the various components in the figures are only schematic, used to help understand the present invention, and are not specifically limited to the shapes and proportional dimensions of the various components of the present invention. Those skilled in the art can select various possible shapes and proportional dimensions to implement the present invention according to the teachings of the present invention.

[0014] Figure 1 It is a schematic flow chart of the rail quality assessment method based on rail base material of the present invention;

[0015] Figure 2 It is a schematic diagram of the rail index of the present invention. DETAILED DESCRIPTION

[0016] The details of the present invention can be more clearly understood with reference to the accompanying drawings and the description of the specific embodiments of the present invention. However, the specific embodiments of the present invention described herein are only used for the purpose of explaining the present invention and cannot be understood as limiting the present invention in any way. Under the guidance of the present invention, technicians can conceive of any possible variations based on the present invention, which should all be considered to belong to the scope of the present invention.

[0017] The present invention proposes a rail quality assessment method based on rail parent material, wherein the rail quality assessment method based on rail parent material comprises: inspecting the rail parent material of the rail to be evaluated and obtaining the inspection result of the rail parent material; obtaining the on-site service condition of the rail to be evaluated; calculating the rail parent material quality index of the evaluated rail based on the inspection result and the on-site service condition; and evaluating the rail quality of the rail to be evaluated based on the rail parent material quality index.

[0018] The rail quality assessment method based on rail parent material proposed in the present invention ensures the comprehensiveness and accuracy of the assessment results by comprehensively considering multiple key performance indicators of the rail parent material, such as chemical composition, mechanical properties, microstructure and appearance quality, and can timely discover and solve potential problems of the rail parent material. Its dynamic monitoring mechanism can reflect the performance changes of the rail in actual use in real time, significantly improve the monitoring and analysis of the rail quality, and provide a scientific basis for the maintenance and replacement of the rail, thereby effectively extending the service life of the rail.

[0019] In an optional embodiment of the present invention, the batch inspection data is first entered into a statistical table, which includes steel type, profile, rail number, batch inspection batch number, manufacturer and various inspection index results.

[0020] In an optional embodiment of the present invention, the inspection items for the rail parent material include at least chemical composition, mechanical properties, microstructure and appearance quality. In order to ensure the comprehensive evaluation quality of the rail parent material quality, the inspection items include at least four key aspects: chemical composition, mechanical properties, microstructure and appearance quality. Among them, the chemical composition inspection ensures that the element composition of the rail parent material meets the established standards, which is crucial for the overall performance and durability of the rail, and can ensure the uniformity and reliability of the rail parent material; the mechanical property test evaluates the ability of the rail to withstand loads and impacts in actual use, including tensile, hardness and impact tests, which can ensure the stability and durability of the rail in actual operation; the microstructure analysis evaluates the uniformity and integrity of the internal structure of the rail parent material by observing the microstructure of the rail parent material, which is extremely important for predicting the long-term performance and fatigue resistance of the rail, and is more helpful in discovering microscopic defects that may lead to early failure; the appearance quality inspection is directly related to the surface condition of the rail parent material, such as cracks, scratches or other surface defects, which may affect the service life and safety of the rail, and can directly prevent the negative impact of surface defects on the performance of the rail. Through the comprehensive evaluation of these inspection items, the present invention can ensure the high quality standard of the rail parent material and provide a solid foundation for railway safety.

[0021] In an optional embodiment of the present invention, the on-site service condition includes at least the fatigue condition of the rail bottom, the wear resistance of the rail, the damage condition of the rail head, the fatigue condition of the rail, the smoothness of the rail and the welding rail condition.

[0022] Specifically, statistics are collected on the problems that occur during rail service, including rail bottom fatigue, poor wear resistance, rail head damage and fatigue, poor rail smoothness, and difficulty in welding rails, etc. The service problems are matched with the performance indicators of the rail parent material, such as the rail bottom fatigue problem corresponds to the residual stress point, the wear resistance problem corresponds to the hardness point, and the rail head fatigue and damage problem corresponds to the non-metallic inclusions and decarburization layer point.

[0023] In an optional embodiment of the present invention, the calculation method of the rail base material quality index is:

[0024] I 钢轨指数 =X 基础项 +Y 波动项 +Z 重点关注项

[0025] In the formula, I 钢轨指数 is the rail base material quality index, X 基础项 Y is the basic item score, 波动项 Score the volatility term, Z 重点关注项 The method proposed in this invention constructs a multi-angle and multi-level scoring system by comprehensively considering the three core dimensions of basic items, fluctuation items and key focus items. The total score is 100 points, of which the basic items have a total score of 60 points, the fluctuation items have a total score of 20 points, and the key focus items have a total score of 20 points. 基础项 The rating covers the basic requirements for ensuring the quality of rails, such as chemical composition, dimensional accuracy, etc., to ensure that the rail base material meets the basic safety standards for railway transportation. 波动项 The scoring focuses on the stability of the rail base material performance, and reflects the consistency and reliability of the rail base material during the production process by evaluating the fluctuation range of key indicators such as chemical composition and mechanical properties. 重点关注项 The scoring is based on special assessments of rail quality indicators based on service issues, such as fracture and wear, to ensure that the rail parent material can adapt to various complex operating environments. The rail parent material quality index is calculated through this comprehensive scoring mechanism, which can achieve a comprehensive and dynamic evaluation of the quality of the rail parent material, effectively improving the scientificity and accuracy of rail quality control. Through the comprehensive scoring of basic items, fluctuation items and key focus items, it can not only ensure that the rail parent material meets the basic safety and performance requirements, but also timely discover and improve fluctuation problems in the production process, and improve the stability and reliability of the rail. The total score of the rail quality index reflects the overall quality of the rail. Analysis of each sub-item can provide direction for improving the production process technology and optimizing quality of steel plants.

[0026] In an optional example of this embodiment, the inspection of the rail parent material includes multiple items, and the inspection results of each item are determined to be qualified, and the basic item score is calculated based on the inspection results of each item. The inspection of the rail parent material is a comprehensive and systematic process, covering multiple key items to ensure that the quality of the rail parent material meets the safety and performance standards of railway transportation. The inspection process includes but is not limited to chemical properties such as chemical composition, residual elements, hydrogen content, total oxygen content, nitrogen content, and physical and mechanical properties such as tensile properties, hardness, microstructure, decarburization layer, non-metallic inclusions, dimensional accuracy, straightness and distortion, and surface quality. Each inspection item has a clear qualification standard, and the inspection result will directly determine whether the item is qualified. For the calculation of the basic item score, a comprehensive scoring mechanism is adopted to convert the qualified status of each inspection item into a score, in which the qualified item is assigned a corresponding score according to the established scoring rules, and the unqualified item is deducted according to the degree of its impact on the performance of the rail. This scoring mechanism can significantly improve the accuracy and efficiency of rail base material quality assessment. By inspecting multiple key points, it can comprehensively identify and evaluate various factors in the rail base material that may affect its performance and safety.

[0027] Specifically, the calculation of the basic item score is based on past experience and expert discussions. The rail production inspection items are divided into two categories, A and B. All the items in category A are qualified; for the items in category B, 80% of them are qualified to calculate the qualified and unqualified numbers (the qualified item points are calculated according to the principle of rounding up to 5). The qualified standard of the rail is the basic requirement to ensure the quality of the rail. Therefore, if the result of the basic item of the rail index is qualified, the basic item score is X 基础项 If the result is unqualified, then X 基础项 It is 0 points.

[0028] The inspection items used to determine the scores of the basic items of rail index are shown in Table 1.

[0029] Table 1

[0030]

[0031]

[0032] In an optional example of this embodiment, two batches of rail parent materials are inspected, and the fluctuation index is calculated based on the fluctuation between the two batches of each batch. In order to ensure the accuracy and representativeness of the evaluation results, this method pays special attention to inspecting two batches of rail parent materials for each batch, and at least six independent batches of rail parent materials from the same steel plant or different steel plants are inspected, and each inspection covers at least two batches of rails. The inspection content includes but is not limited to key performance indicators such as chemical composition, tensile strength, and hardness. The fluctuation between the inspection results is evaluated by statistical scoring, in which the fluctuation value of each performance indicator is calculated and used for further scoring. Specifically, the calculation of the fluctuation index involves quantitative analysis of the fluctuation of performance indicators such as chemical composition, tensile strength, and hardness between each batch of two batches of rails. According to the size of the fluctuation value, according to the preset scoring criteria, if the fluctuation value is within a specific range, a corresponding score is given to evaluate the consistency and stability of the performance of the rail parent material. This two-furnace inspection per batch and fluctuation-based scoring mechanism can accurately evaluate the consistency of rail base material performance, help ensure that the application performance of the rails on railway tracks is more stable and reliable, improve the safety and efficiency of railway transportation, and provide railway operators with a more scientific and objective basis for rail selection and replacement, which helps to reduce maintenance costs and extend the service life of rails.

[0033] Specifically, the score of the fluctuation item is calculated. The fluctuation item is evaluated based on the fluctuation of the chemical composition, tensile strength, and tread hardness of each batch of rails in batch inspection. Y is defined as the total score of the rail base material index fluctuation item. Its performance indicators are divided into 7 items. Y1, Y2, Y3...Y7 are the scores of the corresponding performance indicators. The algorithms are different depending on the characteristics of the performance indicators. For each performance indicator, an independent weight coefficient a1, a2, a3...a7 is defined to reflect the importance of each performance indicator of the rail on the service performance. The value range of each weight coefficient is between 0 and 1, and the sum of all weight coefficients is 1, that is:

[0034] a1,a2,a3…a7∈(0,1) and a1+a2+a3+…+a7=1

[0035] The fluctuation term algorithm is:

[0036] Fluctuation term = Y1·a1+Y2·a2+Y3·a3+......+Y7·a7

[0037] The specific scheme for scoring fluctuation items is shown in Table 2.

[0038] Table 2

[0039]

[0040] According to the relevant methods in TB / T 2344.1-2020 standard, two heats of each batch of rails produced by each steel plant are inspected, and D is the difference between the test results of the two heats of rails for a single inspection item.

[0041] In an optional example of this embodiment, the key focus items in the inspection items for inspecting the rail parent material are determined according to the on-site service conditions, and the key focus item scores are calculated according to the performance indicators of each key focus item and its corresponding weight coefficient. The inspection of the rail parent material by the method of the present invention is not only based on traditional performance indicators, but also pays special attention to performance indicators closely related to the on-site service conditions, namely key focus items. These key focus items are carefully selected and defined based on common problems of rails in on-site service, such as difficult welding, fatigue of rail bottom, large wear, and damage to rail head. First, these key focus items are determined, and then corresponding performance indicators and weight coefficients are set for each key focus item. The determination of the weight coefficient is based on expert experience, historical data analysis and on-site feedback to ensure that each indicator can accurately reflect its impact on the service performance of the rail. For example, for the problem of difficult welding, the surface quality and chemical composition of the rail may be taken as key focus items, and appropriate weights are assigned to these indicators. Then, the score of each key focus item is calculated based on the actual measured values ​​of these indicators and the preset scoring criteria. By directly linking the field service situation with the performance indicators of the rail parent material, the performance and potential problems of the rail in actual use can be more accurately predicted. By focusing on the performance indicators closely related to field service, the present invention helps to timely discover and solve the problems that the rail may encounter in actual use, thereby significantly improving the safety and reliability of railway transportation.

[0042] Specifically, the scores of key focus items are calculated. The key focus items link the problems existing in the field service with the inspection, and the frequent problems in the use of rails such as welding difficulty, rail bottom fatigue, rail wear, rail head damage and fatigue, and line unevenness are matched with the rail performance indicators. The test results of mechanical properties, microstructure, and appearance quality of batch inspections are taken into consideration. Z is defined as the total score of the key focus items of the rail parent material index, and there are 13 performance indicators, Z1, Z2, Z3...Z 13 The scores of the corresponding performance indicators are different according to the characteristics of the performance indicators (the performance indicators correspond to the rail inspection items); independent weight coefficients b1, b2, b3...b are defined for each performance indicator. 13 The weight coefficient reflects the importance of each performance index of the rail on the service performance. The value range of each weight coefficient is between 0 and 1, and the sum of all weight coefficients is 1, that is:

[0043] b1,b2,b3…b 13∈(0,1) and b1+b2+b3+…+b 13 =1

[0044] The key focus algorithms are:

[0045] Z 重点关注项 =Z1·b1+Z2·b2+Z3·b3+......+Z 13 b 13

[0046] In an optional example, each weight coefficient is determined according to the steel grade of the rail parent material. The steel grade is one of the key factors affecting the performance of the rail. Different steel grades have different effects on the service performance of the rail due to their differences in chemical composition and microstructure. In this method, the weight coefficient of each performance index is determined according to the steel grade of the rail parent material. First, the steel grade of the rail parent material is identified, and then the weight coefficient of each performance index is determined according to the characteristics of the steel grade and historical service data. For example, for high-speed rails, higher fatigue resistance may be required, so fatigue-related performance indicators, such as hardness and uniformity of microstructure, will be given a higher weight. For heavy-duty rails, more attention may be paid to their wear resistance and load-bearing capacity, so indicators related to these properties, such as carbon content in chemical composition and hardness distribution, will be given a higher weight. Through this weight coefficient allocation method based on steel grade characteristics, the service performance of the rail parent material can be more accurately evaluated, and the accuracy and pertinence of the quality evaluation of the rail parent material can be significantly improved. This method fully considers the characteristics and application scenarios of different steel grades, so that the evaluation results are more in line with the actual service needs.

[0047] Different steel grades are suitable for different service conditions, and the parent material performance indicators that affect the different service performance of rails are also different. Therefore, the performance index weight coefficients of each steel grade that the rail index focuses on are also different. This method divides each steel grade into four categories, namely hot-rolled high-speed, hot-rolled normal speed, heat-treated high-speed, and heat-treated normal speed. Among them, high speed means that the operating speed is greater than or equal to 200km / h, and the rail grade is marked with G; normal speed means that the operating speed is less than 200km / h, and the rail grade is not marked; heat-treated rails have an H mark on the rail grade.

[0048] The specific scoring scheme for key focus items is shown in Table 3.

[0049] Table 3

[0050]

[0051]

[0052] In the above-mentioned specific scoring scheme for key focus items, performance indicators Z1~Z8, Z11~Z13 (except Z9 and Z10) are all type inspection items in the TB / T 2344.1-2020 standard, and their values ​​are the results obtained by testing according to the relevant methods in the standard.

[0053] The detection method of performance indicator Z9 is to use the roller of the rail head profiler to roll along the surface of the rail, and make the rail head profiler completely cover the entire rail head section. After processing by the application program, the deviation value of the rail head profile and the standard profile is obtained.

[0054] The detection method for performance indicator Z10 is to use the roller of the full-section profiler to roll along the surface of the rail, and make the full-section profiler completely cover the entire rail section. After processing by the application program, the center line of the rail head is taken as the center line of the rail, and the deviation value of the rail waist and rail bottom profile from the standard profile is obtained.

[0055] In Table 3, b is the weight coefficient, and correspondingly, b1 is the weight coefficient of the performance indicator Z1, b2 is the weight coefficient of the performance indicator Z2, and so on, b13 is the weight coefficient of the performance indicator Z13.

[0056] In an optional embodiment of the present invention, evaluating the rail quality of the rail to be evaluated based on the rail base material quality index includes:

[0057] The rails are evaluated and guided based on the basic item scores, fluctuation item scores and key focus item scores included in the rail base material index.

[0058] In the judgment based on the scoring of basic items, if the rail inspection result is unqualified, the steel mill should make internal rectifications based on the specific unqualified items.

[0059] In the assessment based on the fluctuation item score, the fluctuation item score represents the level of control in the rail production process. If the fluctuation item score is low, the steel plant can take measures such as tightening internal control standards and optimizing production equipment to improve the level of control in the production process.

[0060] In the assessment based on the key focus item scores, the key focus item scores include three parts: mechanical properties, metallographic structure, and appearance quality. A low mechanical property score requires the steel mill to adjust by adjusting the chemical composition, optimizing steelmaking production equipment parameters, etc. A low metallographic structure score requires the steel mill to adjust by tightening internal control standards, optimizing steelmaking production process parameters, etc. A low appearance quality score requires the steel mill to adjust by adjusting the status of rolling production equipment, strengthening factory inspection, etc.

[0061] The present invention also proposes a computer-readable storage medium, on which a computer program is stored, wherein the computer program implements the steps of any of the above methods when executed by a processor. The computer-readable storage medium proposed by the present invention is intended to realize the automation and intelligence of rail parent material quality assessment through a computer program. The computer program stored on the storage medium, when executed by the processor, can automatically complete the various steps of rail parent material inspection, including data collection, calculation of performance indicators, determination of weight coefficients, and final quality index evaluation. The program can process and analyze data from two furnaces inspected in each batch through integrated algorithms and databases, automatically determine the weight coefficients of each performance indicator, and calculate the rail parent material quality index based on these data and weight coefficients. The storage medium can be a CD, a USB drive, a solid-state hard disk, or any other computer-readable storage device. In addition, the program also has a user interaction interface, which enables operators to easily input inspection data, view evaluation results and historical records, greatly improving the efficiency and accuracy of the evaluation process, and significantly improving the automation level of rail parent material quality evaluation and the accuracy of evaluation results. And by automatically processing the data of two furnaces for each batch inspection, human errors and the time cost of data processing are reduced, ensuring the consistency and repeatability of the evaluation process. In addition, the program's intelligent algorithm can dynamically adjust the weight coefficient according to the actual service conditions and the characteristics of the rail parent material, so that the evaluation results are more in line with actual application needs. The user-friendly interactive interface further enhances the user experience, allowing non-professionals to easily conduct quality assessment of rail parent materials. The present invention not only improves the efficiency of rail parent material quality assessment, but also provides strong technical support for the digital and intelligent transformation of the railway industry, which helps to promote technological progress and sustainable development of the entire industry.

[0062] The present invention also proposes a computer device, including a memory and a processor, wherein a computer program capable of running on the processor is stored in the memory, and the device is characterized in that the processor implements the steps of any of the above methods when executing the computer program. The computer device involved in the present invention includes a memory and a processor, wherein a computer program capable of running on the processor is stored in the memory. By using the computer device of the present invention, the efficiency and accuracy of the quality assessment of the rail base material are significantly improved. The device reduces human errors and improves the speed of data processing by automatically processing and analyzing a large amount of data, thereby ensuring the consistency and reliability of the assessment results.

[0063] The detailed explanation of the above-mentioned embodiments is only intended to explain the present invention so as to facilitate a better understanding of the present invention. However, these descriptions cannot be interpreted as limitations on the present invention for any reason. In particular, the various features described in different embodiments may also be arbitrarily combined with each other to form other embodiments. Unless there is a clear description to the contrary, these features should be understood to be applicable to any embodiment and are not limited to the described embodiments.

Claims

1. A rail quality assessment method based on rail base material, characterized in that: The rail quality assessment method based on rail parent material comprises: Inspecting the rail base material of the rail to be evaluated and obtaining the inspection result of the rail base material; obtaining the on-site service status of the steel rail to be evaluated; Calculating the rail base material quality index of the evaluated rail based on the inspection result and the on-site service condition; The rail quality of the rail to be evaluated is evaluated based on the rail base material quality index.

2. The rail quality assessment method based on rail base material according to claim 1, characterized in that: The inspection items for the rail base material at least include chemical composition, mechanical properties, microstructure and appearance quality.

3. The rail quality assessment method based on rail base material according to claim 1, characterized in that: The on-site service conditions at least include the fatigue condition of the rail bottom, the wear resistance of the rail, the damage condition of the rail head, the fatigue condition of the rail, the smoothness of the rail and the welding rail condition.

4. The rail quality assessment method based on rail base material according to claim 1, characterized in that: The calculation method of the rail base material quality index is: I 钢轨指数 =X 基础项 +Y 波动项 +Z 重点关注项 In the formula, I 钢轨指数 is the rail base material quality index, X 基础项 Y is the basic item score, 波动项 Score the volatility term, Z 重点关注项 Rate the focus item.

5. The rail quality assessment method based on rail base material according to claim 4, characterized in that: The inspection of the rail base material includes a plurality of items, and whether the inspection result of each item is qualified is determined, and the basic item score is calculated according to the inspection result of each item.

6. The rail quality assessment method based on rail base material according to claim 4, characterized in that: Two batches of the rail base material are inspected, and the fluctuation index is calculated according to the fluctuation between the inspection results of the two batches of the rail base material.

7. The rail quality assessment method based on rail base material according to claim 4, characterized in that: The key focus items in the inspection items for inspecting the rail base material are determined according to the on-site service conditions, and the scores of the key focus items are calculated according to the performance indicators of each of the key focus items and their corresponding weight coefficients.

8. The rail quality assessment method based on rail base material according to claim 7, characterized in that: The weight coefficients are determined according to the steel type of the rail base material.

9. A computer-readable storage medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer device comprising a memory and a processor, wherein a computer program capable of being run on the processor is stored in the memory, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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