A method for analyzing the diversity and pattern transfer design of anti-skid rubber floor surface patterns

Abstract

The present application relates to the technical field of anti-skid rubber floor surface pattern diversity and pattern transfer design, and specifically discloses an anti-skid rubber floor surface pattern diversity and pattern transfer design analysis method, which collects pattern geometric parameters, arrangement directions, corresponding anti-skid coefficients and transfer parameters in historical anti-skid tests, establishes a relationship model of pattern style and anti-skid coefficient, then constructs an adaptation model of geometric parameters and transfer parameters, fits a relationship formula of transfer pressure and temperature through experimental data, introduces a material hardness correction and environment compensation mechanism, finally generates pattern parameter combinations that meet constraint conditions, and selects an optimal scheme through a transfer benefit relationship formula. The method breaks through the limitations of traditional experience design, realizes intelligent matching of pattern design and transfer process, improves anti-skid performance prediction accuracy, and provides technical support for precise and efficient production of anti-skid rubber floors.

Description

Technical Field

[0001] This invention relates to the field of anti-slip rubber flooring surface pattern diversity and pattern transfer design technology, and more specifically, to an analysis method for anti-slip rubber flooring surface pattern diversity and pattern transfer design. Background Technology

[0002] The anti-slip performance of anti-slip rubber flooring is closely related to its surface pattern design and transfer printing process. Traditional anti-slip flooring pattern design relies on trial and error based on experience, making it difficult to accurately match the synergy between pattern geometry parameters and the transfer printing process, resulting in unstable anti-slip performance or low production efficiency. In addition, existing technologies lack multi-objective optimization models, making it impossible to simultaneously meet anti-slip performance requirements and consider production efficiency such as energy consumption and equipment wear.

[0003] For example, Chinese Patent Publication No. CN1833852A discloses a method for manufacturing rubber decorative flooring. The steps are as follows: 1) Printing a pattern onto release paper. 2) Placing the patterned release paper face down onto the rubber compound. 3) Placing the rubber compound with the patterned release paper onto a mold cavity, closing the mold, and molding under high temperature and pressure. 4) After demolding, peeling the release paper off the molded rubber flooring yields a rubber flooring with a patterned surface. Because the pattern printed on the release paper can be fused and solidified into the surface layer of the rubber flooring, forming a patterned surface, the rubber flooring is molded with a natural and beautiful pattern.

[0004] The existing technologies mentioned above still have the following problems: 1. They rely solely on the anti-slip properties (such as elasticity) of the rubber material itself, without analyzing the quantitative impact of the pattern geometry parameters on the anti-slip performance, and thus cannot accurately match different anti-slip requirements.

[0005] 2. The paper only describes the high temperature and high pressure molding transfer process, without establishing a mathematical correlation model between pattern parameters and 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, in order to solve the problems mentioned in the background technology, a method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides a method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring, including the following steps: S1, collecting geometric data, arrangement direction, corresponding anti-slip coefficient and transfer parameters of surface pattern patterns of anti-slip rubber flooring in historical anti-slip tests, wherein the geometric data includes pattern depth, spacing, slope and distribution density.

[0008] S2. Based on the geometric data, arrangement direction and corresponding anti-slip coefficient, construct a relationship model between the pattern and the anti-slip coefficient.

[0009] S3. Based on the geometric data and the corresponding transfer parameters, construct an adaptation model between the geometric data and the transfer parameters, wherein the transfer parameters include transfer pressure and transfer temperature.

[0010] S4. Based on the relationship model and adaptation model, input the target anti-slip coefficient, and generate a pattern design scheme and adaptation transfer parameters that meet the target anti-slip coefficient according to the basic constraints 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) The present invention collects historical anti-slip test data and combines quantitative analysis of pattern depth, spacing, slope, density and arrangement direction to construct a multi-dimensional anti-slip coefficient prediction model. This model can accurately calculate the anti-slip coefficient corresponding to different pattern designs, avoid the blindness of the traditional experience trial and error method, and improve the stability and reliability of the product's anti-slip performance.

[0012] (2) By breaking through the limitations of single parameter optimization, this invention coordinates the geometric parameters of the pattern with the transfer process parameters to achieve intelligent recommendation of transfer pressure and temperature, ensuring the clarity of the pattern and the bonding strength, while avoiding material deformation or energy waste caused by excessive pressure and temperature.

[0013] (3) This invention, by comprehensively evaluating the transfer benefits, automatically selects the optimal parameter combination under the premise of meeting the anti-slip performance, which significantly improves the economic benefits of enterprises. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of the method steps of the present invention.

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

[0017] Figure 3 This is a schematic diagram showing the arrangement direction of the surface pattern on the anti-slip rubber flooring of the present invention.

[0018] Attached diagram descriptions: 1. Long side of the floor; 2. Arrangement direction is 90°; 3. Arrangement direction is 45°; 4. Arrangement direction is 0°. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see 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 flooring, including: S1, collecting geometric data, arrangement direction, corresponding anti-slip coefficient and transfer parameters of surface pattern patterns of anti-slip rubber flooring in historical anti-slip tests, wherein 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 using a distance measuring instrument to obtain the pattern depth.

[0022] The pattern spacing is obtained by measuring the horizontal distance between the center lines of adjacent main anti-slip grooves using image analysis.

[0023] It should be noted that a high-resolution industrial camera is used to take pictures perpendicular to the surface of the rubber floor. Noise reduction is performed using image processing software, and threshold segmentation technology is used to separate the anti-slip grooves from the background to highlight the pattern features. For the pre-processed image, an edge detection algorithm is used to identify the edges of the anti-slip grooves, and then geometric fitting is used to determine the center line of the main anti-slip groove. The center lines of adjacent main anti-slip grooves are marked in the image, and the software automatically calculates the horizontal distance between the center lines of adjacent main anti-slip grooves.

[0024] The pattern slope is obtained by measuring the angle between the groove wall and the rubber surface using a 3D scanner.

[0025] The pattern distribution density is obtained by calculating the total length of the main anti-slip grooves per unit area.

[0026] It should be noted that the measurement area is determined by physical rulers, and the area of ​​the measurement area is obtained. The total length of the main anti-slip grooves on the surface of the rubber floor is automatically obtained by image processing software. The pattern distribution density is obtained by comparing the total length of the main anti-slip grooves with the area of ​​the measurement area.

[0027] In a specific embodiment of the present invention, the pattern arrangement direction is one of 0°, 45° and 90°, wherein: with the length direction of the floor as the reference axis, the angle between the main anti-slip groove in the anti-slip rubber floor and the long side of the floor is obtained, the pattern in the 0° direction is arranged longitudinally and parallel to the length direction of the floor, the pattern in the 45° direction is arranged diagonally and forms a 45° angle with the length direction of the floor, and the pattern in the 90° direction is arranged laterally and perpendicular to the length direction of the floor.

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

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

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

[0031] In a specific embodiment of the present invention, the method for standardizing the pattern depth, spacing, slope and distribution density of the surface pattern in the historical anti-slip test is as follows: obtain the average, maximum and minimum values ​​of the pattern depth, spacing, slope and distribution density in the historical anti-slip test.

[0032] The deviation of the minimum values ​​of pattern depth, spacing, slope, and distribution density in historical anti-slip tests is obtained by subtracting the average values ​​from their corresponding minimum values.

[0033] The difference between the maximum and minimum values ​​of pattern depth, spacing, slope, and distribution density in historical anti-slip tests is obtained.

[0034] The normalized pattern depth, spacing, slope, and distribution density are obtained by comparing the minimum and extreme values ​​of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests.

[0035] The normalized pattern depth, spacing, slope, and distribution density are fused with the corresponding anti-slip coefficient in a multi-dimensional manner to obtain the first relationship model between pattern style and anti-slip coefficient.

[0036] In a specific embodiment of the present invention, the first relationship model between the pattern pattern and the anti-slip coefficient obtained by performing multi-dimensional fusion processing is specifically implemented by fitting the pattern depth, spacing, slope and distribution density of the surface pattern pattern in historical anti-slip tests to obtain the regression coefficients corresponding to the pattern depth, spacing, slope and distribution density.

[0037] The anti-slip coefficient of the unpatterned surface of the anti-slip rubber flooring was determined by experiment and recorded as the reference friction coefficient.

[0038] By combining the normalized pattern depth, spacing, slope, and distribution density with the baseline friction coefficient and regression coefficient, a first relationship model between pattern pattern and anti-slip coefficient is constructed.

[0039] It should be noted that the first relationship model between the pattern 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′, and ρ represent the normalized pattern depth, spacing, slope, and distribution density, respectively, and a, b, c, and d represent the regression coefficients corresponding to the pattern depth, spacing, slope, and distribution density obtained by fitting experimental data.

[0040] It should also be noted that the specific method for obtaining a, b, c, and d through fitting experimental data is as follows: Step 1, Experimental Design and Data Acquisition: Record the measured values ​​of pattern depth, spacing, slope, and distribution density of the surface pattern in historical anti-slip tests; Step 2, Data Preprocessing: Normalize the pattern depth, spacing, slope, and distribution density to unify the value range 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 for a, b, c, and d, with the goal of minimizing the sum of squared errors between the predicted and 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 These represent the anti-slip coefficient, normalized pattern depth, spacing, slope, and distribution density of the i-th historical anti-slip test, respectively, and n represents the number of historical anti-slip tests. Step 4: Determining the coefficients: The optimal coefficients a, b, c, and d are obtained through mathematical calculation.

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

[0042] The arrangement direction of surface pattern patterns in historical anti-slip tests was quantitatively analyzed, and the quantitative analysis results were coupled with the first relational model to obtain the relationship model between pattern pattern and anti-slip coefficient.

[0043] Please see 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 of the anti-slip rubber floor in historical anti-slip tests is as follows: the pattern arrangement angle parallel to the length direction of the floor is recorded as 0°, the pattern arrangement angle oblique to the length direction of the floor is recorded as 45°, and the pattern arrangement angle perpendicular to the length direction of the floor is recorded as 90°. The pattern arrangement angle is converted into radians, and the cosine and sine values ​​of the pattern arrangement angle are calculated based on the radians.

[0044] It should be noted that the specific method for calculating the cosine and sine values ​​of the pattern arrangement angle based on radians is as follows: convert the pattern arrangement angle θ into radians. Calculate the cosine value of the angle, x, where x = cos(θ). rad ), calculate the sine value of the angle y, 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 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 by which β1 and β2 are obtained through fitting experimental data is as follows: Let the sample data matrix X be an n×3 matrix, with the first column all 1s, and the second and third columns being x1, y1, y2 ... i ,y i The anti-slip coefficient vector Y = [μ1, μ2, ..., μ n ] T 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 is calculated by performing operations such as matrix transpose, multiplication, and inverse matrix to obtain the estimated values ​​of regression coefficients β1 and β2.

[0047] This invention constructs a multi-dimensional anti-slip coefficient prediction model by collecting historical anti-slip test data and combining quantitative analysis of pattern depth, spacing, slope, density, and arrangement direction. This model can accurately calculate the anti-slip coefficient corresponding to different pattern designs, avoiding the blindness of traditional trial-and-error methods and improving the stability and reliability of the product's anti-slip performance.

[0048] S3. Based on the geometric data and the corresponding transfer parameters, construct an adaptation model between the geometric data and the transfer parameters, wherein 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 normalized pattern depth and distribution density, the product of the pattern spacing and the slope tangent, and perform a fusion analysis based on the material hardness correction coefficient and the basic pressure constant in the material property specification of anti-slip rubber flooring stored in the database to obtain the transfer pressure relationship.

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

[0051] It should also be noted that the logical reasoning behind the above-mentioned design for the transfer pressure relationship is as follows: the product of pattern depth and distribution density is considered a positive factor influencing pressure, while the product of pattern spacing and slope tangent is considered a regulating factor. Dividing these two factors comprehensively reflects the combined effect of these parameters on pressure. Based on this, a material hardness correction factor is multiplied, as different material hardnesses require different pressures; higher hardness typically requires greater pressure to ensure transfer quality. Finally, a basic pressure constant is added, i.e., the basic pressure value without considering geometric parameters. Through the analysis, combination, and correction of various parameters, a fusion analysis yields the transfer pressure relationship, quantifying the relationship between geometric parameters and transfer pressure, and providing a basis for determining appropriate transfer pressure in actual production.

[0052] It's also worth noting that the relationship between pattern depth, spacing, slope, and distribution density is chosen to construct the transfer pressure formula because these parameters directly affect the material's flowability and the required pressure during the transfer process. For example, a greater pattern depth requires more material to be filled, potentially resulting in higher pressure. Smaller spacing may increase resistance to material flow, also requiring higher pressure. Slope angle can affect the material's flow path and resistance, while distribution density relates to the number of patterns per unit area; higher density requires more material to be transferred overall, leading to increased pressure requirements.

[0053] The ratio of pattern depth to spacing after normalization is obtained, and the transfer temperature relationship is obtained by combining the basic vulcanization temperature determined by the vulcanization characteristics of rubber materials stored in the database and the temperature slope coefficient in the material property specification of anti-slip rubber flooring.

[0054] It should be noted that the formula for obtaining the transfer temperature relationship is obtained by multiplying the ratio of pattern depth to spacing by the temperature slope coefficient and adding the result of the multiplication to the basic vulcanization temperature.

[0055] It should also be noted that the above formula is based on the following reasoning: a larger ratio of pattern depth to spacing indicates a higher difficulty in material filling, requiring compensation for flow resistance through increased temperature. The ratio of pattern depth to spacing is chosen as a primary factor influencing temperature because both pattern depth and spacing can directly affect heat distribution and material flowability during vulcanization. For example, a deeper pattern may require a higher temperature to ensure sufficient rubber flow and mold filling, while a smaller spacing may increase resistance to material flow, similarly requiring a higher temperature to promote flow. Therefore, the ratio of pattern depth to spacing comprehensively reflects the difficulty of material filling, thus affecting the required temperature.

[0056] This invention overcomes the limitations of optimizing a single parameter by collaboratively modeling pattern geometry parameters and transfer process parameters, enabling intelligent recommendations for transfer pressure and temperature. This ensures pattern clarity and bonding strength while avoiding material deformation or energy waste caused by excessive pressure and temperature.

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

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

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

[0060] Based on the basic constraints of the transfer parameters, the pattern parameters for each normal group were selected.

[0061] In a specific embodiment of the present invention, the method for selecting the pattern parameters of each normal group is as follows: extract the permissible 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 permissible 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 permissible maximum value, then the group of pattern parameters is recorded as an abnormal group of pattern parameters, otherwise, the group of pattern parameters is recorded as a normal group of pattern parameters, thereby obtaining the pattern parameters of each normal group.

[0062] Substituting the transfer pressure and transfer temperature corresponding to the pattern parameters of each normal group into the formula for transfer efficiency, we can obtain the transfer efficiency corresponding to the pattern parameters of each normal group.

[0063] In a specific embodiment of the present invention, the transfer benefit relationship is expressed as follows: by setting up multiple sets of standard experiments to measure the transfer pressure corresponding to each set of transfers, and taking the average value as the reference transfer pressure, extracting the reference transfer temperature determined by the vulcanization characteristics of the rubber material from the database, comparing the reference transfer pressure and reference transfer temperature with the transfer pressure and transfer temperature respectively, and multiplying the ratio results with the corresponding weights of the transfer pressure and transfer temperature and accumulating them to obtain the transfer benefit relationship.

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

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

[0066] The normal group pattern parameters corresponding to the maximum transfer efficiency are used as the pattern design scheme, and the transfer pressure and transfer temperature at the maximum transfer efficiency are used as the adaptation transfer parameters.

[0067] This invention, through comprehensive evaluation of transfer efficiency, automatically selects the optimal parameter combination while meeting anti-slip performance requirements, significantly improving enterprise economic benefits.

[0068] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods 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, and all such modifications and additions should 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 anti-slip rubber flooring, characterized in that, Includes the following steps: S1. Collect geometric data, arrangement direction, corresponding anti-slip coefficient and transfer parameters of the surface pattern of the anti-slip rubber flooring in historical anti-slip tests. The geometric data includes pattern depth, spacing, slope and distribution density. S2. Construct a relationship model between the pattern pattern and the anti-slip coefficient based on the geometric data, the arrangement direction, and the corresponding anti-slip coefficient; S3. Based on the geometric data and the corresponding transfer parameters, construct an adaptation model between the geometric data and the transfer parameters, wherein the transfer parameters include transfer pressure and transfer temperature; S4. Based on the relationship model and adaptation model, input the target anti-slip coefficient, and generate a pattern design scheme and adaptation transfer parameters that meet the target anti-slip coefficient according to the basic constraints of the transfer parameters. The specific implementation process of constructing the relationship model between the pattern pattern and the anti-slip coefficient based on the geometric data, the arrangement direction, and the corresponding anti-slip coefficient is as follows: The pattern depth, spacing, slope, and distribution density of the surface pattern in historical anti-slip tests were standardized and normalized. The normalized pattern depth, spacing, slope, and distribution density are fused with the corresponding anti-slip coefficient in a multi-dimensional manner to obtain the first relationship model between pattern style and anti-slip coefficient; The arrangement direction of surface pattern patterns in historical anti-slip tests was quantitatively analyzed, and the quantitative analysis results were coupled with the first relationship model to obtain the relationship model between pattern pattern and anti-slip coefficient. The specific implementation method for obtaining the first relationship model between pattern style and anti-slip coefficient through multi-dimensional fusion processing is as follows: By fitting the pattern depth, spacing, slope, and distribution density of the surface pattern in historical anti-slip tests, regression coefficients corresponding to pattern depth, spacing, slope, and distribution density were obtained. The anti-slip coefficient of the unpatterned surface of the anti-slip rubber flooring was determined by experiment and recorded as the reference friction coefficient. By combining the normalized pattern depth, spacing, slope, and distribution density with the baseline friction coefficient and regression coefficient, a first relationship model between pattern pattern and anti-slip coefficient is constructed. 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: The product of the normalized pattern depth and distribution density, the product of the pattern spacing and the slope tangent, and the transfer pressure relationship are obtained by fusion analysis based on the material hardness correction coefficient and the basic pressure constant in the material property specification of anti-slip rubber flooring stored in the database. The ratio of pattern depth to spacing after normalization is obtained, and the transfer temperature relationship is obtained by combining the basic vulcanization temperature determined by the vulcanization characteristics of rubber materials stored in the database and the temperature slope coefficient in the material property specification of anti-slip rubber flooring.

2. The method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring according to claim 1, characterized in that: The geometric data collected on the surface pattern of the anti-slip rubber flooring in historical anti-slip tests include: The pattern depth is obtained by measuring the vertical distance from the highest point of the main anti-slip groove to the rubber surface using a distance measuring instrument; The pattern spacing is obtained by measuring the horizontal distance between the center lines of adjacent main anti-slip grooves using image analysis. The pattern slope is obtained by measuring the angle between the groove wall and the rubber surface using a 3D scanner. The pattern distribution density is obtained by calculating the total length of the main anti-slip grooves per unit area.

3. The method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring according to claim 1, characterized in that: The specific method for standardizing the pattern depth, spacing, slope, and distribution density of surface patterns from historical anti-slip tests is as follows: The average, maximum, and minimum values ​​of pattern depth, spacing, slope, and distribution density in historical anti-slip tests were obtained respectively. The difference between the average values ​​of pattern depth, spacing, slope, and distribution density in historical anti-slip tests and their corresponding minimum values ​​is used to obtain the deviation of the minimum values ​​of pattern depth, spacing, slope, and distribution density in historical anti-slip tests. The difference between the maximum and minimum values ​​of pattern depth, spacing, slope, and distribution density in historical anti-slip tests is obtained. The normalized pattern depth, spacing, slope, and distribution density are obtained by comparing the minimum and extreme values ​​of the pattern depth, spacing, slope, and distribution density in historical anti-slip tests.

4. The method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring according to claim 1, characterized in that: The specific method for quantitatively analyzing the arrangement direction of surface patterns in historical anti-slip tests is as follows: the angle of the pattern arrangement parallel to the length direction of the floor is denoted as... The angle of the pattern arrangement diagonally along the length of the floor is denoted as... The angle of the pattern arrangement perpendicular to the length of the floor is denoted as... The pattern arrangement angle is converted into radians, and the cosine and sine values ​​of the pattern arrangement angle are calculated based on the radians.

5. The method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring according to claim 1, characterized in that: The specific implementation method for generating the pattern design scheme that meets the target anti-slip coefficient and the adapted transfer parameters is as follows: By substituting the target anti-slip coefficient into the relationship model between pattern pattern and anti-slip coefficient, we can obtain the pattern parameters of each group that meet the target anti-slip coefficient. Substitute each set of pattern parameters into the transfer pressure and transfer temperature formulas respectively to obtain the transfer pressure and transfer temperature corresponding to each set of pattern parameters. Based on the basic constraints of the transfer parameters, the pattern parameters for each normal group were selected. Substituting the transfer pressure and transfer temperature corresponding to the pattern parameters of each normal group into the transfer efficiency formula, we can obtain the transfer efficiency corresponding to the pattern parameters of each normal group. The normal group pattern parameters corresponding to the maximum transfer efficiency are used as the pattern design scheme, and the transfer pressure and transfer temperature at the maximum transfer efficiency are used as the adaptation transfer parameters.

6. The method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring according to claim 5, characterized in that: The specific method for selecting the pattern parameters of each normal group is as follows: extract the permissible maximum values ​​corresponding to the transfer pressure and transfer temperature from the basic constraints of the transfer parameters, compare the transfer pressure and transfer temperature corresponding to each group of pattern parameters with the permissible 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 permissible maximum value, then the group of pattern parameters is recorded as an abnormal group of pattern parameters, otherwise, the group of pattern parameters is recorded as a normal group of pattern parameters, thus obtaining the pattern parameters of each normal group.

7. The method for analyzing the diversity of surface patterns and pattern transfer design of anti-slip rubber flooring according to claim 5, characterized in that: The formula for the transfer benefit is expressed as follows: by setting up multiple sets of standard experiments to measure the transfer pressure corresponding to each set of transfers, and taking the average value as the reference transfer pressure, extracting the reference transfer temperature determined by the vulcanization characteristics of the rubber material from the database, and comparing the reference transfer pressure and reference transfer temperature with the transfer pressure and transfer temperature respectively, and multiplying the ratio results with the corresponding weights of the transfer pressure and transfer temperature and accumulating them to obtain the formula for the transfer benefit.

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