Antiskid rubber floor surface pattern diversity and pattern transfer design analysis method

Abstract

The invention relates to the technical field of anti-skid rubber floor surface pattern diversity and pattern transfer design, and particularly discloses an anti-skid rubber floor surface pattern diversity and pattern transfer design analysis method, which comprises the following steps of: collecting pattern geometric parameters, arrangement directions, corresponding anti-skid coefficients and transfer parameters in a historical anti-skid test; the method comprises the following steps: firstly, establishing a relation model of a pattern style and an anti-slip coefficient, secondly, establishing an adaptive model of geometric parameters and transfer printing parameters, fitting a relational expression of transfer printing pressure and temperature through experimental data, introducing a material hardness correction and environment compensation mechanism, and finally, generating a pattern parameter combination meeting constraint conditions. And screening an optimal scheme through the transfer printing benefit relational expression. According to the method, the limitation of traditional experience design is broken through, intelligent matching of pattern design and the transfer printing process is achieved, the anti-skid performance prediction precision is improved, and technical support is provided for precise and efficient production of the anti-skid rubber floor.

Description

Technical Field

[0001] The present invention relates to the technical field of the diversity of surface patterns and pattern transfer design of anti-slip rubber floors. Specifically, it relates to an analysis method for the diversity of surface patterns and pattern transfer design of anti-slip rubber floors. Background Art

[0002] The anti-slip performance of anti-slip rubber floors is closely related to the surface pattern design and transfer process. The pattern design of traditional anti-slip floors relies on empirical trial and error, making it difficult to accurately match the synergistic relationship between the geometric parameters of the pattern and the transfer process, resulting in unstable anti-slip performance or low production efficiency. In addition, the existing technology lacks a multi-objective optimization model and cannot take into account production benefits such as energy consumption and equipment wear while meeting the anti-slip performance.

[0003] For example, the patent with the Chinese patent publication number CN1833852A discloses a method for manufacturing a rubber decorative floor, and its steps are as follows: 1) Print the pattern on the release paper. 2) Place the release paper with the pattern on the rubber compound with its front side. 3) Put the rubber compound with the pattern release paper into the mold cavity together and mold it under high temperature and high pressure. 4) After demolding, tear off the release paper from the formed rubber floor, and a rubber floor with a pattern on the surface can be obtained. Since the pattern printed on the release paper can be melted and fixed in the surface layer of the rubber floor to form a rubber floor with a pattern on the surface, the rubber floor is molded with a natural and beautiful pattern.

[0004] The following problems also exist in the above prior art: 1. Only relying on the anti-slip characteristics (such as elasticity) of the rubber material itself, without analyzing the quantitative impact of the geometric parameters of the pattern on the anti-slip performance, it is impossible to accurately match different anti-slip requirements.

[0005] 2. Only describing the transfer process of high temperature and high pressure molding, without establishing a mathematical correlation model between the pattern parameters and the transfer pressure and temperature, patterns with different geometric parameters may require different temperatures and pressures to ensure ink penetration. The existing technology lacks a dynamic adaptation mechanism, which may lead to insufficient pattern clarity or material deformation. Summary of the Invention

[0006] In view of this, to solve the problems raised in the above background art, an analysis method for the diversity of surface patterns and pattern transfer design of anti-slip rubber floors is proposed.

[0007] The object of the present invention can be achieved by the following technical solutions: The present invention provides an analysis method for the diversity of surface patterns and pattern transfer design of anti-slip rubber floors, including the following steps: S1. Collect the geometric data, arrangement direction, corresponding anti-slip coefficient, and transfer parameters of the surface pattern styles of anti-slip rubber floors in historical anti-slip tests, and the geometric data includes pattern depth, spacing, slope, and distribution density.

[0008] S2. Construct a relationship model between the pattern style and the anti-slip coefficient based on the geometric data, arrangement direction, and corresponding anti-slip coefficients.

[0009] S3. Construct an adaptation model between the geometric data and the transfer parameters based on the geometric data and corresponding transfer parameters, where the transfer parameters include transfer pressure and transfer temperature.

[0010] S4. Based on the relationship model and the adaptation model, input the target anti-slip coefficient, and generate a pattern design solution and adapted transfer parameters that meet the target anti-slip coefficient according to the basic limiting conditions of the transfer parameters.

[0011] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By collecting historical anti-slip test data and combining the quantitative analysis of pattern depth, spacing, slope, density, and arrangement direction, the present invention constructs a multi-dimensional anti-slip coefficient prediction model. This model can accurately calculate the anti-slip coefficients corresponding to different pattern designs, avoiding the blindness of the traditional empirical trial-and-error method and improving the stability and reliability of the anti-slip performance of the product.

[0012] (2) By breaking through the limitation of single-parameter optimization and co-modeling the pattern geometric parameters and transfer process parameters, the present invention realizes the intelligent recommendation of transfer pressure and temperature, ensuring pattern clarity and bonding strength, while avoiding material deformation or energy consumption waste caused by excessive pressure and temperature.

[0013] (3) By comprehensively evaluating the transfer benefits and automatically selecting the optimal parameter combination on the premise of meeting the anti-slip performance, the present invention significantly improves the economic benefits of the enterprise. Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0015] Figure 1 It is a schematic flow chart of the method steps of the present invention.

[0016] Figure 2 It is a schematic diagram of the surface pattern of the anti-slip rubber floor of the present invention.

[0017] Figure 3 It is a schematic diagram of the arrangement direction of the surface pattern of the anti-slip rubber floor of the present invention.

[0018] Description of the Drawings: 1. Long side of the floor, 2. Arrangement direction is 90°, 3. Arrangement direction is 45°, 4. Arrangement direction is 0°. Detailed implementation manners

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to Figure 1 and Figure 2 As shown, the present invention provides a method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber floors, including: S1. Collect the geometric data, arrangement directions, corresponding anti-slip coefficients, and transfer parameters of the surface pattern styles of anti-slip rubber floors in historical anti-slip tests. The geometric data includes pattern depth, spacing, slope, and distribution density.

[0021] In a specific embodiment of the present invention, the collection of geometric data includes: measuring the vertical distance from the highest point of the main anti-slip groove to the rubber surface with a distance measuring instrument to obtain the pattern depth.

[0022] Measuring the horizontal distance between the centerlines of adjacent main anti-slip grooves by image analysis to obtain the pattern spacing.

[0023] It should be noted that a high-resolution industrial camera is used to shoot perpendicular to the surface of the rubber floor, and denoising processing is performed using image processing software. The anti-slip groove and the background are separated through threshold segmentation technology to highlight the pattern features. For the preprocessed image, an edge detection algorithm is used to identify the edge of the anti-slip groove, and then the centerline of the main anti-slip groove is determined through geometric fitting. The centerlines of adjacent main anti-slip grooves are marked in the image, and the software automatically calculates the horizontal distance between the centerlines of adjacent main anti-slip grooves.

[0024] Measuring the angle between the pattern groove wall and the rubber surface with a 3D scanner to obtain the pattern slope.

[0025] Calculating the total length of the main anti-slip grooves per unit area to obtain the pattern distribution density.

[0026] It should be noted that a measurement area is delimited with a physical scale to obtain the measurement area. The total length of the main anti-slip grooves on the surface of the rubber floor is automatically obtained using image processing software, and the ratio of the total length of the main anti-slip grooves on the surface to the measurement area is obtained as the pattern distribution density.

[0027] In a specific embodiment of the present invention, the pattern arrangement direction is one of 0°, 45°, and 90°. Among them: taking the floor length direction as the reference axis, the included angle between the main anti-slip grooves in the anti-slip rubber floor and the long side of the floor is obtained. The pattern in the 0° direction is longitudinally arranged and parallel to the floor length direction. The pattern in the 45° direction is obliquely arranged and forms a 45° included angle with the floor length direction. The pattern in the 90° direction is transversely arranged and perpendicular to the floor length direction.

[0028] It should be noted that the 0° (parallel direction) can simulate the sliding along the pattern direction (such as the longitudinal friction between the sole and the ground) to test the directional anti-slip ability of the material. The 90° (perpendicular direction) can simulate the transverse sliding across the pattern (such as sudden turning or lateral force action) to reflect the lateral grip of the material. The 45° (diagonal direction) can cover the oblique sliding scenario to comprehensively evaluate the anti-slip performance of the material under complex stresses. Therefore, setting the pattern arrangement directions as 0°, 45°, and 90° is of great significance.

[0029] S2. Construct a relationship model between the pattern style and the anti-slip coefficient based on the geometric data, arrangement direction, and corresponding anti-slip coefficient.

[0030] In a specific embodiment of the present invention, the specific implementation process of constructing the relationship model between the pattern style and the anti-slip coefficient based on the geometric data, arrangement direction, and corresponding anti-slip coefficient is as follows: perform standard normalization processing on the pattern depth, spacing, slope, and distribution density of the surface pattern style in the historical anti-slip tests.

[0031] In a specific embodiment of the present invention, the specific method for performing standard normalization processing on the pattern depth, spacing, slope, and distribution density of the surface pattern style in the historical anti-slip tests is as follows: respectively obtain the average value, maximum value, and minimum value of the pattern depth, spacing, slope, and distribution density in the historical anti-slip tests.

[0032] Subtract the average value of the pattern depth, spacing, slope, and distribution density in the historical anti-slip tests from their corresponding minimum values to obtain the minimum value deviation of the pattern depth, spacing, slope, and distribution density in the historical anti-slip tests.

[0033] Subtract the minimum value from the maximum value of the pattern depth, spacing, slope, and distribution density in the historical anti-slip tests to obtain the extreme value difference of the pattern depth, spacing, slope, and distribution density in the historical anti-slip tests.

[0034] Divide the minimum value deviation of the pattern depth, spacing, slope, and distribution density in the historical anti-slip tests by the extreme value difference to obtain the normalized pattern depth, spacing, slope, and distribution density.

[0035] The multi - dimensional fusion processing is performed on the normalized pattern depth, spacing, slope, and distribution density and the corresponding anti - slip coefficient to obtain the first relationship model between the pattern style and the anti - slip coefficient.

[0036] In a specific embodiment of the present invention, the specific implementation manner of performing the multi - dimensional fusion processing to obtain the first relationship model between the pattern style and the anti - slip coefficient is as follows: fitting is performed in combination with the pattern depth, spacing, slope, and distribution density of the surface pattern style in the historical anti - slip test to obtain the regression coefficients corresponding to the pattern depth, spacing, slope, and distribution density.

[0037] The anti - slip coefficient of the anti - slip rubber floor surface without patterns is measured separately through experiments, and is denoted as the reference friction coefficient.

[0038] The normalized pattern depth, spacing, slope, and distribution density, as well as the reference friction coefficient and the regression coefficients, are combined to construct the first relationship model between the pattern style and the anti - slip coefficient.

[0039] It should be noted that the first relationship model between the pattern style and the anti - slip coefficient is expressed as: μ′ = μ0 + a×H + b×L + c×θ′ + d×ρ, where μ′ represents the anti - slip coefficient in the first relationship model, μ0 represents the reference friction coefficient, H, L, θ′, ρ respectively represent the normalized pattern depth, spacing, slope, and distribution density, and a, b, c, d respectively represent the regression coefficients corresponding to the pattern depth, spacing, slope, and distribution density obtained by fitting through experimental data.

[0040] It should also be noted that the specific manner in which a, b, c, d are obtained by fitting through experimental data is as follows: Step 1, experimental design and data collection: record the measured values of the pattern depth, spacing, slope, and distribution density of the surface pattern style in the historical anti - slip test; Step 2, data pre - processing: perform normalization processing on the pattern depth, spacing, slope, and distribution density to unify the value ranges of each parameter to [0, 1] and eliminate the influence of dimensions; Step 3, establish a multiple linear regression model: use the least - squares method to solve a, b, c, d, and the goal is to minimize the sum of the squared errors between the predicted values and the measured values: where i represents the historical anti - slip test number, i = 1, 2,..., n, μ i ′, H i 、L i 、θ i ′, ρ i respectively represent the anti - slip coefficient, the normalized pattern depth, spacing, slope, and distribution density of the i - th historical anti - slip test, n represents the number of historical anti - slip tests, and Step 4, coefficient determination: obtain the optimal coefficients a, b, c, d through mathematical calculations.

[0041] It should also be noted that μ0 represents the anti-slip coefficient of the rubber surface without patterns, which needs to be measured separately through experiments. A completely smooth rubber sample is prepared, and its anti-slip coefficient is measured under the same test conditions, which is μ0.

[0042] Quantitatively analyze the arrangement direction of the surface pattern styles in the historical anti-slip tests, and couple the quantitative analysis results with the first relationship model to obtain the relationship model between the pattern styles and the anti-slip coefficient.

[0043] Please refer to Figure 3 As shown, in a specific embodiment of the present invention, the specific method for quantitatively analyzing the arrangement direction of the surface pattern styles of the anti-slip rubber floor in the historical anti-slip tests is as follows: Denote the pattern arrangement angle parallel to the floor length direction as 0°, the pattern arrangement angle oblique to the floor length direction as 45°, and the pattern arrangement angle perpendicular to the floor length direction as 90°. Convert the pattern arrangement angle to radian measure, and calculate the cosine value and sine value of the pattern arrangement angle based on the radian measure.

[0044] It should be noted that the specific method for calculating the cosine value and sine value of the pattern arrangement angle based on the radian measure is as follows: Convert the pattern arrangement angle θ to radian measure Calculate the cosine value x of the angle, x = cos(θ rad ), calculate the sine value y of the angle, y = sin(θ rad ), where θ is one of 0°, 45°, and 90°.

[0045] It should also be noted that the relationship model between the pattern styles and the anti-slip coefficient is expressed as: μ = μ′ + β1×x + β2×y, where μ represents the anti-slip coefficient in the relationship model, and β1 and β2 represent the direction coefficients, which are obtained by fitting experimental data.

[0046] It should also be noted that the specific method for obtaining β1 and β2 by fitting experimental data is as follows: Let the sample data matrix X be an n×3 matrix, with the first column all being 1, and the second and third columns being x i , y i , and the anti-slip coefficient vector Y = [μ1, μ2,..., μ n T , and the regression coefficient vector Here, β0 corresponds to μ′. According to the matrix solution formula of the least squares method β = (X T X) -1 X T Y, through operations such as calculating the transpose, multiplication, and inverse matrix of the matrix, obtain the estimated values of the regression coefficients β1 and β2.

[0047] ​In the embodiments of the present invention, by collecting historical anti-slip test data and combining the quantitative analysis of pattern depth, spacing, slope, density, and arrangement direction, a multi-dimensional anti-slip coefficient prediction model is constructed. This model can accurately calculate the anti-slip coefficients corresponding to different pattern designs, avoiding the blindness of the traditional empirical trial-and-error method and improving the stability and reliability of the anti-slip performance of the product.

[0048] S3. Construct an adaptation model of geometric data and transfer parameters based on the geometric data and corresponding transfer parameters, where the transfer parameters include transfer pressure and transfer temperature.

[0049] In a specific embodiment of the present invention, the specific process of constructing the adaptation model of geometric data and transfer parameters based on the geometric data and corresponding transfer parameters is as follows: Obtain the product of the pattern depth and the distribution density after normalization processing, and the product of the pattern spacing and the tangent value of the slope, and perform a fusion analysis based on the material hardness correction coefficient and the basic pressure constant in the material property specification of the anti-slip rubber floor material stored in the database to obtain the transfer pressure relationship formula.

[0050] It should be noted that the division result of the product of the pattern depth and the distribution density and the product of the pattern spacing and the tangent value of the slope is multiplied by the material hardness correction coefficient, and the multiplication result is added to the basic pressure constant to obtain the transfer pressure relationship formula.

[0051] It should also be noted that the thinking logic of designing the transfer pressure relationship formula is as follows: The product of the pattern depth and the distribution density is used as a positive factor affecting the pressure, and the product of the pattern spacing and the tangent value of the slope is used as an adjustment factor affecting the pressure. The combined effect of these parameters on the pressure is comprehensively reflected by dividing the two. On this basis, multiply by the material hardness correction coefficient because different material hardnesses require different pressures, and generally higher hardness requires greater pressure to ensure the transfer quality. Finally, add the basic pressure constant, that is, the basic pressure value when geometric parameters are not considered. Thus, through the analysis, combination, and correction of each parameter, the transfer pressure relationship formula is obtained through fusion analysis to quantify the relationship between geometric parameters and transfer pressure, providing a basis for determining the appropriate transfer pressure in actual production.

[0052] It should also be noted that the reason for choosing pattern depth, spacing, slope, and distribution density to construct the transfer pressure relationship formula is that these parameters directly affect the fluidity of the material during the transfer process and the required pressure. For example, the greater the pattern depth, the more material needs to be filled, and the higher the pressure requirement may be. The smaller the spacing, the greater the resistance to material flow, and the higher the pressure is also required. The slope angle may affect the flow path and resistance of the material, while the distribution density involves the number of patterns per unit area. A higher density generally requires more material transfer, resulting in an increased pressure requirement.

[0053] Obtain the ratio of the normalized pattern depth to the spacing, and perform fusion analysis by combining the base vulcanization temperature determined by the vulcanization characteristics of the rubber material stored in the database and the temperature slope coefficient in the specification of the anti-slip rubber floor material to obtain the transfer temperature relationship formula.

[0054] It should be noted that the ratio of the pattern depth to the spacing is multiplied by the temperature slope coefficient, and the multiplication result is added to the base vulcanization temperature to obtain the transfer temperature relationship formula.

[0055] It should also be noted that the writing idea of the above formula is as follows: The larger the ratio of the pattern depth to the spacing, the higher the material filling difficulty. It is necessary to compensate for the flow resistance by increasing the temperature. At the same time, the ratio of the pattern depth to the spacing is selected as the main factor affecting the temperature because the pattern depth and spacing may have a direct impact on the heat distribution and material fluidity during vulcanization. For example, a pattern with a larger depth may require a higher temperature to ensure that the rubber flows fully and fills the mold, while a smaller spacing may increase the flow resistance of the material and also require a higher temperature to promote flow. Therefore, the ratio of the pattern depth to the spacing can comprehensively reflect the material filling difficulty and thus affect the required temperature.

[0056] In the embodiment of the present invention, by breaking through the optimization limitation of a single parameter, the pattern geometric parameters and transfer process parameters are co-modeled to realize the intelligent recommendation of transfer pressure and temperature, ensure the pattern clarity and bonding strength, and at the same time avoid material deformation or energy consumption waste caused by excessive pressure and temperature.

[0057] S4. Based on the relationship model and the adaptation model, input the target anti-slip coefficient, and generate a pattern design scheme and adapted transfer parameters that meet the target anti-slip coefficient according to the basic limiting conditions of the transfer parameters.

[0058] In a specific embodiment of the present invention, the specific implementation manner of generating a pattern design scheme and adapted transfer parameters that meet the target anti-slip coefficient is as follows: Substitute the target anti-slip coefficient into the relationship model between the pattern style and the anti-slip coefficient to obtain each group of pattern parameters that meet the target anti-slip coefficient.

[0059] Substitute each group of pattern parameters into the transfer pressure relationship formula and the transfer temperature relationship formula respectively to obtain the transfer pressure and transfer temperature corresponding to each group of pattern parameters.

[0060] According to the basic limiting conditions of the transfer parameters, screen out each group of normal pattern parameters.

[0061] In a specific embodiment of the present invention, the specific method for screening out the pattern parameters of each normal group is as follows: extract the maximum permitted values corresponding to the transfer pressure and transfer temperature from the basic limiting conditions of the transfer parameters, compare the transfer pressure and transfer temperature corresponding to each group of pattern parameters with the maximum permitted values corresponding to the transfer pressure and transfer temperature respectively. If any one of the transfer pressure and transfer temperature corresponding to a certain group of pattern parameters is greater than the corresponding maximum permitted value, then record this group of pattern parameters as abnormal group pattern parameters; otherwise, record this group of pattern parameters as normal group pattern parameters, thereby obtaining the pattern parameters of each normal group.

[0062] Substitute the transfer pressure and transfer temperature corresponding to each normal group of pattern parameters into the transfer efficiency relational expression to obtain the transfer efficiency corresponding to each normal group of pattern parameters.

[0063] In a specific embodiment of the present invention, the transfer efficiency relational expression is expressed as follows: set multiple groups of standard experiments to measure the transfer pressure corresponding to each transfer, and take the average value as the reference transfer pressure. Extract the reference transfer temperature determined by the vulcanization characteristics of the rubber material from the database. Calculate the ratios of the reference transfer pressure and reference transfer temperature to the transfer pressure and transfer temperature respectively, and multiply and accumulate the ratio results with the corresponding weights of the transfer pressure and transfer temperature to obtain the transfer efficiency relational expression.

[0064] It should be noted that the standard experiment refers to: select rubber materials without special patterns or with pattern parameters in an ideal reference state (such as the pattern depth, spacing, slope, and distribution density are all zero or the industry default reference values), and use a pressure sensor to measure the transfer pressure multiple times.

[0065] It should also be noted that the design idea of the transfer efficiency relational expression is as follows: by quantifying the deviation between the actual transfer parameters and the ideal values, and combining the production focus requirements (weights), comprehensively evaluate the efficiency of the transfer process. The ratio operation highlights the parameter optimization direction (the lower the pressure / temperature, the higher the efficiency), and the weight accumulation reflects the contribution differences of different factors to the efficiency. Since the transfer pressure and transfer temperature are equally important for the evaluation of transfer efficiency, the corresponding weights of the transfer pressure and transfer temperature are taken as 0.5 and 0.5 respectively.

[0066] Take the pattern parameters of the normal group corresponding to the maximum transfer efficiency as the pattern design scheme, and take the transfer pressure and transfer temperature at the maximum transfer efficiency as the adapted transfer parameters.

[0067] By comprehensively evaluating the transfer efficiency, the embodiment of the present invention automatically selects the optimal parameter combination on the premise of meeting the anti-slip performance, significantly improving the economic benefits of the enterprise.

[0068] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar ways to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall fall within the protection scope of the present invention.

Claims

1. A method for analyzing the diversity of surface patterns and pattern transfer design of a non-slip rubber floor, characterized in that, It includes the following steps: S1. Collect the geometric data, arrangement direction, corresponding anti-slip coefficient, and transfer parameters of the surface pattern style of the anti-slip rubber floor in historical anti-slip tests. The geometric data includes pattern depth, spacing, slope, and distribution density; S2. Based on the geometric data, arrangement direction, and corresponding anti-slip coefficient, construct a relationship model between the pattern style and the anti-slip coefficient; S3. Based on the geometric data and corresponding transfer parameters, construct an adaptation model between the geometric data and the transfer parameters. The transfer parameters include transfer pressure and transfer temperature; S4. Based on the relationship model and the adaptation model, input the target anti-slip coefficient, and generate a pattern design plan and adapted transfer parameters that meet the target anti-slip coefficient according to the basic limiting conditions of the transfer parameters.

2. The analysis method for the diversity of surface patterns and pattern transfer design of an anti-slip rubber floor according to claim 1, characterized in that: The collection of geometric data includes: Measure the pattern depth by measuring the vertical distance from the highest point of the main anti-slip groove to the rubber surface with a distance measuring instrument; Measure the pattern spacing by measuring the horizontal distance between the centerlines of adjacent main anti-slip grooves through image analysis; Measure the pattern slope by measuring the angle between the pattern groove wall and the rubber surface with a 3D scanner; Obtain the pattern distribution density by calculating the total length of the main anti-slip grooves per unit area.

3. The method for analyzing the diversity of patterns and pattern transfer design on the surface of a non-slip rubber floor according to claim 1, characterized in that: The specific implementation process of constructing the relationship model between the pattern style and the anti-slip coefficient based on the geometric data, arrangement direction, and corresponding anti-slip coefficient is as follows: Perform standard normalization processing on the pattern depth, spacing, slope, and distribution density of the surface pattern style in historical anti-slip tests; Perform multi-dimensional fusion processing on the normalized pattern depth, spacing, slope, and distribution density and the corresponding anti-slip coefficient to obtain the first relationship model between the pattern style and the anti-slip coefficient; Perform quantitative analysis on the arrangement direction of the surface pattern style in historical anti-slip tests, and couple the quantitative analysis results with the first relationship model to obtain the relationship model between the pattern style and the anti-slip coefficient.

4. A method for analyzing the diversity of surface patterns and pattern transfer design of a non-slip rubber floor according to claim 3, characterized in that: The specific method for performing standard normalization processing on the pattern depth, spacing, slope, and distribution density of the surface pattern style in historical anti-slip tests is as follows: Respectively obtain the average value, maximum value, and minimum value of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests; Subtract the average value of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests from its corresponding minimum value to obtain the minimum value deviation of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests; Subtract the minimum value from the maximum value of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests to obtain the extreme value difference of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests; Obtain the normalized pattern depth, spacing, slope, and distribution density by taking the ratio of the minimum value deviation of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests to the extreme value difference.

5. The method for analyzing the diversity of patterns and pattern transfer design on the surface of a non-slip rubber floor according to claim 3, characterized in that: The specific implementation method for performing multi-dimensional fusion processing to obtain the first relationship model between the pattern style and the anti-slip coefficient is as follows: Combine the pattern depth, spacing, slope, and distribution density of the surface pattern style in historical anti-slip tests for fitting to obtain the regression coefficients corresponding to the pattern depth, spacing, slope, and distribution density; Individually measure the anti-slip coefficient when there is no pattern on the surface of the anti-slip rubber floor through experiments, denoted as the reference friction coefficient; Combining the normalized pattern depth, spacing, slope, and distribution density, as well as the reference friction coefficient and regression coefficient, a first relationship model between the pattern style and the anti-slip coefficient is constructed.

6. The method for analyzing the diversity of patterns and pattern transfer design on the surface of a non-slip rubber floor according to claim 3, characterized in that: The specific method for quantitatively analyzing the arrangement direction of the surface pattern style of the anti-slip rubber floor in the historical anti-slip test is as follows: Denote the pattern arrangement angle parallel to the floor length direction as , denote the pattern arrangement angle obliquely to the floor length direction as , denote the pattern arrangement angle perpendicular to the floor length direction as , convert the pattern arrangement angle to radian system, and calculate the cosine value and sine value of the pattern arrangement angle based on the radian system.

7. A method for analyzing the diversity of surface patterns and pattern transfer design of an anti-slip rubber floor according to claim 1, characterized in that: The specific process of constructing the adaptation model between the geometric data and the transfer parameters based on the geometric data and the corresponding transfer parameters is as follows: Obtain the product of the normalized pattern depth and the distribution density, the product of the pattern spacing and the tangent value of the slope, and perform a fusion analysis based on the material hardness correction coefficient and the base pressure constant in the material property specification of the anti-slip rubber floor material stored in the database to obtain the transfer pressure relationship formula; Obtain the ratio of the normalized pattern depth to the spacing, and perform a fusion analysis in combination with the base vulcanization temperature determined by the vulcanization characteristics of the rubber material stored in the database and the temperature slope coefficient in the material property specification of the anti-slip rubber floor material to obtain the transfer temperature relationship formula.

8. A method for analyzing the diversity of surface patterns and pattern transfer design of a non-slip rubber floor according to claim 7, characterized in that: The specific implementation method of generating the pattern design scheme and the adapted transfer parameters that meet the target anti-slip coefficient is as follows: Substitute the target anti-slip coefficient into the relationship model between the pattern style and the anti-slip coefficient to obtain each group of pattern parameters that meet the target anti-slip coefficient; Substitute each group of pattern parameters into the transfer pressure relationship formula and the transfer temperature relationship formula respectively to obtain the transfer pressure and transfer temperature corresponding to each group of pattern parameters; According to the basic limiting conditions of the transfer parameters, screen out each group of normal pattern parameters; Substitute the transfer pressure and transfer temperature corresponding to each group of normal pattern parameters into the transfer benefit relationship formula to obtain the transfer benefit corresponding to each group of normal pattern parameters; Take the group of normal pattern parameters corresponding to the maximum transfer benefit as the pattern design scheme, and take the transfer pressure and transfer temperature at the maximum transfer benefit as the adapted transfer parameters.

9. A method for analyzing the diversity of surface patterns and pattern transfer design of a non-slip rubber floor according to claim 8, characterized in that: The specific method of screening out each group of normal pattern parameters is as follows: Extract the permitted maximum values corresponding to the transfer pressure and transfer temperature from the basic limiting conditions of the transfer parameters, compare the transfer pressure and transfer temperature corresponding to each group of pattern parameters with the permitted maximum values corresponding to the transfer pressure and transfer temperature respectively. If any one of the transfer pressure and transfer temperature corresponding to a certain group of pattern parameters is greater than the corresponding permitted maximum value, then mark this group of pattern parameters as abnormal group pattern parameters. Otherwise, mark this group of pattern parameters as normal group pattern parameters, and thus obtain each group of normal pattern parameters.

10. A method for analyzing the diversity of surface patterns and pattern transfer design of a non-slip rubber floor according to claim 8, characterized in that: The transfer benefit relationship formula is expressed as: Set multiple groups of standard experiments to measure the transfer pressure corresponding to each transfer, and take the average value as the reference transfer pressure. Extract the reference transfer temperature determined by the vulcanization characteristics of the rubber material from the database. Take the ratio of the reference transfer pressure and the reference transfer temperature to the transfer pressure and the transfer temperature respectively, and multiply the ratio results by the corresponding weights of the transfer pressure and the transfer temperature and accumulate them to obtain the transfer benefit relationship formula.

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