Method and system for detecting tensile strength of hook-and-loop fastener fabric

Abstract

The invention discloses a method and system for detecting the tensile strength of a magic tape fabric, and the method comprises the following steps: carrying out multidirectional form sampling on the magic tape fabric, and generating a multi-region form data set; performing sample reference pretreatment and dynamic tensile test based on the multi-region form data set to generate a tensile force value peak index, a deformation rate and a hook surface breakage change degree value under different tensile stages; obtaining a tensile failure node corresponding to the standard sample of the magic tape and carrying out preliminary detection on tensile strength to generate a tensile strength initial value of the magic tape fabric; carrying out sample stretching correction calculation by introducing an environmental influence factor to obtain a hook-and-loop fastener fabric stretching strength correction value; on the basis of the hook-and-loop fastener fabric tensile strength correction value, hook-and-loop fastener fabric tensile strength distribution is generated; and outputting a hook-and-loop fastener fabric tensile strength detection report based on the hook-and-loop fastener fabric tensile strength distribution in combination with the tensile failure nodes. According to the invention, the tensile strength of the hook-and-loop fastener fabric under different bonding states and environmental conditions can be more accurately detected.

Description

Technical Field

[0001] This invention relates to the field of strength testing technology, specifically to a method and system for testing the tensile strength of hook and loop fastener fabric. Background Technology

[0002] In recent years, with the development of automation and sensor technologies, some automated testing equipment has begun to be applied to the tensile strength testing of hook and loop fastener fabrics. These devices typically use motor-driven clamps for stretching and sensors to monitor tensile force data in real time. Compared to traditional manual testing, automated equipment has significantly improved testing accuracy and efficiency. However, existing automated testing methods still have many problems. On the one hand, the testing parameters of the equipment are often fixed and cannot be flexibly adjusted according to different types and materials of hook and loop fastener fabrics. On the other hand, there is a serious deficiency in simulating actual usage environments. In actual applications, hook and loop fasteners are affected by a variety of complex factors such as temperature, humidity, and repeated stretching, and current testing methods rarely take these factors into account, causing the test results to be out of sync with actual usage conditions, resulting in inaccurate test results. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a method for testing the tensile strength of hook and loop fastener fabric, comprising the following steps: Step S1: Perform multi-directional morphological sampling on the hook and loop fastener fabric to obtain the hook and loop sample morphology corresponding to the edge area, transition area and center area of ​​the hook and loop fastener fabric, and generate a multi-area morphological dataset; perform sample benchmark preprocessing based on the multi-area morphological dataset to obtain the standard hook and loop fastener sample and the corresponding morphological benchmark data. Step S2: Based on the morphological reference data, obtain the corresponding hook and loop fastener tensile stage parameters, and based on the hook and loop fastener tensile stage parameters, install the hook and loop fastener standard sample on the dynamic tensile testing device to conduct a dynamic tensile test, and generate the peak index of tensile force, deformation rate and change value of hook and loop surface breakage under different tensile stages. Step S3: Based on the change value of hook and loop breakage at different stretching stages, obtain the tensile failure node corresponding to the standard sample of hook and loop fastener. Based on the tensile failure node and combined with the peak index of tensile force, deformation rate and morphological reference data, perform preliminary tensile strength detection to generate the initial value of tensile strength of hook and loop fastener fabric. By introducing environmental impact factors, and based on the environmental impact factors, perform sample tensile correction calculation on the initial value of tensile strength of hook and loop fastener fabric to obtain the corrected value of tensile strength of hook and loop fastener fabric. Step S4: Analyze the tensile strength deviation of different fabric regions based on the tensile strength correction value of the hook and loop fastener fabric and the multi-region morphology dataset, and generate the tensile strength distribution of the hook and loop fastener fabric based on the tensile strength deviation of different fabric regions; output the corresponding tensile strength test report of the hook and loop fastener fabric based on the tensile strength distribution of the hook and loop fastener fabric and the corresponding tensile failure node.

[0004] Furthermore, the present invention also provides a hook and loop fastener fabric tensile strength testing system, including a processor, a memory, and a computer program stored in the memory and executable on the processor, for performing the hook and loop fastener fabric tensile strength testing method as described above.

[0005] The beneficial effects of this application are as follows: By sampling the hook and loop fastener fabric in multiple directions, covering the hook and loop sample morphology of different areas such as the edge area, transition area, and center area, the generated multi-zone morphology dataset can comprehensively reflect the morphological characteristics of each part of the fabric, avoiding sample deviation caused by single-area sampling. Furthermore, the sample benchmark preprocessing based on the multi-zone morphology dataset, through operations such as standardization and calibration of morphological parameters, yields standard hook and loop fastener samples and corresponding morphological benchmark data, providing standardized test objects for subsequent dynamic tensile tests. This standardization process eliminates the interference of individual sample differences on the test results, making the test data from different batches and different areas comparable. Simultaneously, the morphological benchmark data also provides a reference standard for subsequent analysis of morphological changes during the tensile process. Secondly, by determining the tensile stage parameters of hook and loop fasteners based on morphological benchmark data, flexible adjustments can be made according to different types and materials of hook and loop fastener fabrics, and the tensile stages can be reasonably divided to ensure that the test at each stage is specific and scientific. The standard hook and loop fastener sample is installed on the dynamic tensile testing device for testing, and the generated parameters such as the peak index of tensile force, deformation rate, and change value of hook and loop breakage reflect the mechanical properties and structural changes of the fabric during the tensile process from different dimensions. The acquisition of these parameters can not only record the entire process of the fabric from being stressed to gradually changing, but also provide key data for subsequent determination of tensile failure points and calculation of tensile strength, so that the detection of tensile strength can be deepened from simple result judgment to process analysis, improving the depth and accuracy of the detection. Then, by determining the tensile failure point based on the change value of the hook and loop breakage, the critical state at which the fabric loses its practical performance can be accurately captured, providing a clear endpoint for the calculation of tensile strength and avoiding the result deviation caused by subjective judgment of the failure point. Furthermore, the preliminary tensile strength test, combining the tensile force peak index, deformation rate, and morphological baseline data, comprehensively considers the fabric's mechanical properties, deformation, and initial morphology, generating an initial value that objectively reflects the fabric's basic tensile strength. Introducing environmental impact factors for correction calculations further bridges the gap between laboratory testing and actual use environments. Environmental impact factors cover environmental factors encountered in actual use, such as temperature and humidity. The tensile strength correction value obtained through correction calculations is closer to the fabric's actual performance in real-world application scenarios, giving the test results laboratory-level accuracy and thus improving the overall accuracy of the test results. Finally, by analyzing the tensile strength deviation in different fabric regions based on the tensile strength correction value and multi-zone morphological dataset, the performance differences of the fabric in different areas such as the edge zone, transition zone, and center zone can be clearly shown, revealing the correlation between fabric structure and strength distribution, and providing specific directions for optimizing fabric production processes.For example, if the strength deviation in the edge area is large, the edge treatment process can be adjusted accordingly. The test report generated based on the strength distribution and tensile failure nodes not only presents the overall tensile strength level of the fabric, but also marks the strength characteristics and critical failure states of each area in detail. This allows report users to fully understand the performance characteristics of the fabric and guide them to use hook and loop fastener fabrics reasonably according to the strength characteristics of different areas. At the same time, it also provides data support for the research and development and improvement of hook and loop fastener fabrics, and promotes the continuous improvement of product performance. Attached Figure Description

[0006] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a flowchart of the method for testing the tensile strength of hook and loop fastener fabric in this embodiment; Figure 2 for Figure 1 A detailed flowchart illustrating the implementation steps of step S1. Detailed Implementation

[0007] The following drawings disclose several embodiments of the present invention. For clarity, many practical details will be described in the following description. However, it should be understood that these practical details are not intended to limit the invention. That is, in some embodiments of the invention, these practical details are not essential. Furthermore, for the sake of simplicity, some conventional structures and components will be shown in the drawings in a simple schematic manner.

[0008] To further understand the invention's content, features, and effects, the following embodiments are provided, and detailed descriptions are given below in conjunction with the accompanying drawings: Reference Figure 1 , Figure 1 This is a flowchart of the tensile strength testing method for hook and loop fastener fabric in this embodiment. The tensile strength testing method for hook and loop fastener fabric in this embodiment includes the following steps: Step S1: Perform multi-directional morphological sampling on the hook and loop fastener fabric to obtain the hook and loop sample morphology corresponding to the edge area, transition area and center area of ​​the hook and loop fastener fabric, and generate a multi-area morphological dataset; perform sample benchmark preprocessing based on the multi-area morphological dataset to obtain the standard hook and loop fastener sample and the corresponding morphological benchmark data. In this embodiment of the invention, multi-directional morphological sampling is performed on the entire piece of hook and loop fastener fabric. Four edge positions, the middle positions of the four sides, and the center position of the fabric are selected. Samples of the same area are cut using scissors, ensuring that each sample includes an edge area, a transition area, and a center area. The edge area is the region 1 cm from the edge of the sample, the transition area is the region 1 cm inside the edge area, and the center area is the remaining middle region. A laser 3D scanner is used to scan the hook surface of each region. The scanner emits a laser beam covering the hook surface, recording the 3D coordinates of the hook teeth and obtaining parameters such as hook tooth height, spacing, fiber length, and density, generating a multi-region morphological dataset. The dataset is preprocessed, discarding samples with damaged hook teeth or fiber detachment. The remaining samples are cleaned using an ultrasonic cleaner to remove surface dust and fiber debris, and then dried in a drying oven to obtain standard hook and loop fastener samples. A digital caliper is used to measure the length, width, and thickness of the standard sample. The hook tooth density and the number of hook-and-loop surface combinations are counted using a microscope. These data are recorded to form morphological benchmark data, ensuring that the measurement positions of each parameter cover different areas of the sample to obtain an average value.

[0009] Step S2: Based on the morphological reference data, obtain the corresponding hook and loop fastener tensile stage parameters, and based on the hook and loop fastener tensile stage parameters, install the hook and loop fastener standard sample on the dynamic tensile testing device to conduct a dynamic tensile test, and generate the peak index of tensile force, deformation rate and change value of hook and loop surface breakage under different tensile stages. In this embodiment of the invention, the tensile stage parameters of the hook and loop fastener are determined based on parameters such as thickness, hook density, length, and width from morphological reference data. The structural level is divided according to hook density and thickness, and the tensile rate for each tensile stage is determined by combining length and width; samples with high hook density and large thickness have a lower tensile rate. The holding time is calculated based on the number of hook and loop connections; the more connections, the longer the holding time. The number of cyclic tensile tests is determined based on the width-to-thickness ratio; samples with a larger ratio have more cyclic tensile tests. A standard hook and loop fastener sample is mounted on the fixture of the dynamic tensile testing device, with the fixture spacing adjusted to the gauge length of the sample, and the clamping force ensuring no slippage. The device is started to dynamically stretch the sample according to the set tensile stage parameters. At each stage, the sample is stretched to a set displacement at the corresponding rate and held for a specified time to complete the number of cyclic tensile tests. During the process, a force sensor records changes in tensile force, a displacement sensor records deformation data, and a high-speed camera captures changes in the sample surface. The tensile force peak index is extracted from the force data, the deformation rate is calculated from the displacement data, and the degree of change in hook and loop breakage is analyzed from the images.

[0010] Step S3: Based on the change value of hook and loop breakage at different stretching stages, obtain the tensile failure node corresponding to the standard sample of hook and loop fastener. Based on the tensile failure node and combined with the peak index of tensile force, deformation rate and morphological reference data, perform preliminary tensile strength detection to generate the initial value of tensile strength of hook and loop fastener fabric. By introducing environmental impact factors, and based on the environmental impact factors, perform sample tensile correction calculation on the initial value of tensile strength of hook and loop fastener fabric to obtain the corrected value of tensile strength of hook and loop fastener fabric. In this embodiment of the invention, by analyzing the change in knot breakage at different stretching stages, the stage corresponding to a significant jump in the knot breakage change value is the tensile failure node. For example, when the hook tooth breaks, the knot breakage change value increases from 15% to 40%. The peak index of the tensile force corresponding to the tensile failure node is used as the critical failure force value, and the corresponding deformation rate is used as the deformation threshold. The width and thickness of the sample are obtained from the morphological reference data, and the cross-sectional area is obtained by multiplying the two. During the initial tensile strength test, the critical failure force value is divided by the cross-sectional area, and the deformation threshold is used for correction. The larger the deformation threshold, the larger the correction magnitude, to obtain the initial value of the tensile strength of the hook and loop fastener fabric. Temperature and humidity data are collected during the tensile test, and the temperature gradient and humidity gradient are calculated. The temperature gradient is the ratio of the temperature difference between adjacent moments to the time interval, and the humidity gradient is calculated in the same way. They are added together according to weights to obtain the environmental impact factor. The initial value is multiplied by the environmental impact factor. When the environmental impact factor is less than 1, the correction value is reduced to obtain the corrected value of the tensile strength of the hook and loop fastener fabric.

[0011] Step S4: Analyze the tensile strength deviation of different fabric regions based on the tensile strength correction value of the hook and loop fastener fabric and the multi-region morphology dataset, and generate the tensile strength distribution of the hook and loop fastener fabric based on the tensile strength deviation of different fabric regions; output the corresponding tensile strength test report of the hook and loop fastener fabric based on the tensile strength distribution of the hook and loop fastener fabric and the corresponding tensile failure node.

[0012] In this embodiment of the invention, the tensile strength correction value of the hook and loop fastener fabric is used to decompose the sample according to the area ratio of the edge area, transition area, and center area. The area ratio is calculated by measuring the length and width of each area, resulting in the tensile strength correction sub-value for each area. The structural morphology differences of each area are analyzed using a multi-zone morphology dataset. The hook teeth in the edge area are lower in height and larger in spacing, while those in the center area are higher in height and smaller in spacing. The tensile strength deviation rate of different areas is calculated. Using the correction sub-value of the center area as a benchmark, the difference between the correction sub-values ​​of the edge area and the benchmark value and the benchmark value is divided by the benchmark value to obtain the deviation rate. A three-dimensional morphological model of the hook and loop fastener fabric is constructed based on the multi-zone morphology dataset using a three-dimensional modeling tool. The tensile strength deviation rate of each area is mapped onto the model, and the intensity distribution is indicated by color: areas with negative deviation rates are represented by blue, and areas with zero deviation rates are represented by green. Combined with tensile failure nodes, failure locations such as hook tooth breakage and fiber breakage are marked on the model. Information such as the correction sub-values, deviation rates, and failure types of each area is compiled, and a tensile strength test report for the hook and loop fastener fabric is output. The report includes a three-dimensional model diagram, an intensity distribution table, and a failure analysis description.

[0013] Furthermore, refer to Figure 2 , Figure 2 for Figure 1 A detailed flowchart illustrating the implementation steps of step S1 in this embodiment. Step S1 in this embodiment includes the following steps: Step S11: By cutting samples from different positions of the hook and loop fastener fabric, each sample contains a hook side and a corresponding nap side, and marking the warp and weft directions of each sample and its original position in the hook and loop fastener fabric, the position traceability information of the hook and loop fastener sample is generated. In this embodiment of the invention, a 1m x 1m hook and loop fastener fabric is selected. Using 0.01mm precision cutting scissors, nine samples are cut from the four corners, the midpoints of the four sides, and the center of the fabric. Each sample measures 10cm x 10cm, ensuring that each sample contains both the complete hook side and the corresponding napped side. A waterproof marker is used to mark the warp and weft directions on the edge of the hook side of each sample. The warp direction is marked "J" along the fabric length, and the weft direction is marked "W" along the fabric width. The original position number is marked on the back of the sample using a laser marking machine, such as "B1" for the upper left sample, "B2" for the upper right sample, and "B5" for the center sample. The number includes the fabric batch information "20231001". The position number, warp and weft directions, and coordinates in the original fabric (with the lower left corner of the fabric as the origin, in centimeters) of each sample are recorded in a traceability table, forming the hook and loop fastener sample position traceability information, ensuring that subsequent testing can trace back to the specific area of ​​the fabric.

[0014] Step S12: Based on the traceability information of the hook and loop fastener sample location, each sample is divided into regions, namely edge region, transition region and center region. The three-dimensional point cloud morphology of the hook surface corresponding to the hook tooth height, spacing, fiber length and density of each region is obtained by using a laser three-dimensional scanner to generate a multi-region morphology dataset. In this embodiment of the invention, based on the traceability information of the hook and loop fastener sample position, each 10 cm × 10 cm sample is divided into regions: the edge region is an annular area 1 cm from the edge of the sample, the transition region is an annular area 1 cm inside the edge region, and the center region is the remaining 6 cm × 6 cm square region. A laser 3D scanner is used to scan each region. The scanner's laser wavelength is 660 nm, and the scanning accuracy is 0.001 mm, covering the entire hook surface of each region. During the scanning process, the hook surface is fixed upwards on the stage. The scanner starts at a height of 50 cm along the Z-axis and collects point cloud data every 0.5 mm, accumulating 200 layers of point cloud data for each region. Extract the tooth height (vertical distance between the tooth tip and the substrate), spacing (horizontal distance between the centers of adjacent teeth), fiber length (axial length of the surface fiber), and density (number of teeth per square centimeter) from the point cloud data. Associate these parameters with the region identifiers (edge ​​region "B", transition region "G", and center region "Z") to generate a multi-region morphology dataset containing 9 samples, 3 regions per sample, and 4 parameters per region.

[0015] Step S13: Denoise the multi-region morphology dataset to remove scanning noise points and fill in missing data. At the same time, unify the 3D point cloud morphology of each region to the same coordinate system through point cloud registration to generate a multi-region morphology registration dataset. In this embodiment of the invention, noise reduction processing is performed on the multi-zone morphological dataset: a statistical filtering algorithm is used to calculate the average distance between each point cloud data and its 50 nearest neighbors. Points with a distance greater than 3 times the standard deviation are identified as noise points and deleted, with the noise point removal rate for each region controlled within 0.5%. For missing data caused by occlusion during scanning, an interpolation method based on the K-nearest neighbor algorithm is used for completion, i.e., the coordinate value of the missing point is calculated by fitting a plane equation based on the coordinates of the 10 nearest neighbors around the missing point. During point cloud registration, a local coordinate system is established with the geometric center of the sample's central area as the origin. The point cloud data of the edge and transition areas are aligned with the coordinate system of the central area using an iterative nearest-point algorithm, with the registration error controlled within 0.002 mm. After noise reduction, completion, and registration, the point cloud data of the three regions of each sample are unified into the same coordinate system, forming a multi-zone morphological registration dataset. The data format includes the three-dimensional coordinates (X, Y, Z) of each point and the label of its region.

[0016] Step S14: Determine the sample cutting standard based on the multi-zone morphological registration dataset to ensure that each sample contains a complete hook and loop surface bonding unit, and use precision cutting equipment to cut the corresponding hook and loop surface sample of hook and loop, while removing dust and fiber debris attached to the surface to obtain the hook and loop standard sample. In this embodiment of the invention, the sample cutting standard is determined based on a multi-zone morphological registration dataset: the hook-and-loop bonding unit is defined as the smallest unit containing 10 complete hook teeth and corresponding loop fibers, and the size of this unit is measured to be 1 cm × 1 cm using point cloud data. The sample is cut using a precision cutting device with a blade thickness of 0.1 mm and a cutting accuracy of 0.01 mm. During cutting, the warp and weft marks on the sample are aligned along the warp and weft directions to ensure that each 1 cm × 1 cm sample contains a complete hook-and-loop bonding unit. After cutting, the sample is placed in an ultrasonic cleaner and cleaned with deionized water at a frequency of 40 kHz for 30 seconds to remove surface dust and fiber debris. It is then placed in a 60°C forced-air drying oven for 10 minutes to ensure no moisture residue remains on the sample surface. The final standard hook-and-loop fastener sample is a 1 cm × 1 cm square. Five samples are cut from each of the three regions corresponding to each sample, for a total of 135 standard samples. Each sample is marked with its corresponding sample number, region identifier, and cutting direction.

[0017] Step S15: By measuring and recording the length, width, thickness, hook density, and number of hook and loop surfaces of each hook and loop standard sample, the morphological reference data corresponding to each hook and loop standard sample is obtained.

[0018] In this embodiment of the invention, the length (warp dimension) and width (weft dimension) of each standard hook and loop fastener sample are measured using a digital vernier caliper with a measurement accuracy of 0.01 mm. Each parameter is measured three times and the average value is taken. The thickness (total thickness after the hook and loop surfaces are bonded) is measured using a micrometer with a measurement accuracy of 0.001 mm. Five measurements are taken at the four corners and the center of the sample, and the average value is taken. The hook density is obtained by counting using a microscope at a magnification of 50x. The total number of hooks in the sample is counted and then divided by the area (1 square centimeter). The number of hook and loop bonding distributions is determined by image recognition technology. An image of the hook and loop surfaces after bonding is captured using a CCD camera, and the number of interlocking hooks and fibers is identified and counted. These measured values ​​are associated with the sample identification (e.g., the third sample in the central area of ​​sample B5 is marked as "B5-Z-3") and recorded in the morphological reference data table to form the morphological reference data corresponding to each standard sample, which includes five parameters: length, width, thickness, hook density, and number of bonding distributions.

[0019] Furthermore, step S2 includes the following steps: Step S21: Determine the structural strength benchmark value of each hook and loop fastener standard sample based on the thickness and hook tooth density of each sample, and perform structural grading based on the structural strength benchmark value of each sample to generate hook and loop fastener sample structural grading data. In this embodiment of the invention, the thickness of each standard hook and loop fastener sample is measured using a micrometer. The measurement positions cover the four corners and the center of the sample, and the average value of the measurement results at these positions is taken as the thickness of the sample. The number of hooks per unit area of ​​each sample is observed and counted using a microscope to obtain the hook density. The structural strength benchmark value is obtained by multiplying the thickness by the hook density and then by the material coefficient, which is determined according to the material properties of the hook and loop fastener fabric. The structure is graded according to the magnitude of the structural strength benchmark value. The grading standard is formulated based on the industry's general principles for classifying the structural strength of hook and loop fasteners. Samples with benchmark values ​​in different ranges are divided into different levels, forming hook and loop fastener sample structural grading data, which includes the identifier of each sample, the structural strength benchmark value, and the level to which it belongs.

[0020] Step S22: Based on the structural classification data of the hook and loop fastener sample and combined with its length and width, perform tensile rate gradient evaluation on the corresponding hook and loop fastener standard sample to evaluate and determine the tensile rate gradient interval of each hook and loop fastener standard sample in each tensile stage, and generate candidate values ​​of tensile rate gradient for each tensile stage. In this embodiment of the invention, the tensile rate gradient is evaluated based on the structural classification data of the hook and loop fastener samples, combined with the length and width of each standard hook and loop fastener sample. The evaluation formula is: Rate Gradient = (Structural Level Coefficient × Length × Width) ÷ 10. Before the evaluation, the characteristics of each tensile stage need to be clarified. In the initial stage, the degree of stretching is small, and the requirement for the rate is relatively gradual; as the stretching stage progresses, the requirement for the rate gradually changes. During the evaluation, according to the structural level of the sample, samples of different levels have different structural strengths and can withstand different tensile rates. Samples with higher structural strength can withstand relatively higher tensile rates. The length and width of the sample are also considered. Samples with longer lengths or wider widths experience different stress distributions during stretching, and their adaptability range for tensile rates also differs. By comprehensively considering these factors, the appropriate tensile rate gradient range for each tensile stage of the sample is determined. When determining the corresponding tensile rate gradient candidate value for each tensile stage, it is necessary to ensure that the candidate value is within the rate range suitable for that stage and can accurately reflect the tensile rate change that the specimen should withstand in that stage. The determination of the candidate value needs to be verified by multiple simulation tests to ensure its rationality and avoid instantaneous fracture of the specimen due to excessively high rate or impact on test efficiency due to excessively low rate. Finally, the tensile rate gradient candidate value corresponding to each tensile stage is generated, and the candidate value of specimens of different structural levels varies proportionally according to the level coefficient.

[0021] Step S23: Calculate the corresponding holding time coefficient based on the number of hook and loop surfaces of each hook and loop standard sample, and determine the holding time for each tensile stage based on the structural grading data of the hook and loop sample. In this embodiment of the invention, the holding time coefficient is calculated based on the number of hook and loop surface bonding distributions of each standard hook and loop tape sample. The number of hook and loop surface bonding distributions is obtained by statistically analyzing the bonding points on the hook and loop surfaces of the samples. During the statistical analysis, a magnifying glass is used to carefully observe the hook and loop surfaces to ensure that each bonding point is accurately counted. A bonding point refers to the position where the hook teeth and loop fibers mesh with each other. The calculation of the holding time coefficient is positively correlated with the number of hook and loop surface bonding distributions; the more bonding points, the tighter the hook and loop bonding, and the larger the holding time coefficient. Furthermore, combined with the structural grading data of the hook and loop tape samples, samples of different structural levels correspond to different correction parameters. Samples with higher structural levels have a more stable overall structure and larger correction parameters. Multiplying the holding time coefficient by the corresponding level's correction parameter yields the holding time corresponding to each tensile stage. The holding time must ensure that the stress state of the sample remains stable within that tensile stage, facilitating accurate data collection. The higher the structural level, the longer the holding time, to fully reflect its stress condition in that stage.

[0022] Step S24: Based on the ratio between the width and thickness of each standard hook and loop fastener sample, determine the reference value of the number of cycles for each stretching stage, and perform correction calculations in conjunction with the structural grading data of the hook and loop fastener sample to generate the parameter of the number of cycles for each stretching stage; use the candidate value of the stretching rate gradient, the holding time, and the reference value of the number of cycles for each stretching stage as the corresponding hook and loop fastener stretching stage parameters. In this embodiment of the invention, the ratio of the width to the thickness of each standard hook and loop fastener sample is calculated. When measuring the width and thickness, a measuring tool of appropriate precision is required. Based on this ratio (rounded up), a baseline value for the number of cyclic tensile cycles corresponding to each tensile stage is determined. Referring to the structural grading data of the hook and loop fastener samples, the baseline value for the number of cyclic tensile cycles is corrected. Different structural grades require different correction ratios; higher-grade samples have more robust structures and require more cyclic tensile cycles to reflect their performance limits, resulting in a larger correction ratio. After correction, the parameter for the number of cyclic tensile cycles corresponding to each tensile stage is obtained. The candidate values ​​of the tensile rate gradient, holding time, and number of cyclic tensile cycles corresponding to each tensile stage are integrated as the tensile stage parameters for that stage of the hook and loop fastener. During integration, it is necessary to ensure that the parameters are mutually matched and work together in the tensile test to guarantee the scientific validity and accuracy of the test.

[0023] Step S25: Based on the tensile stage parameters of the hook and loop fastener, install the standard sample of the hook and loop fastener on the dynamic tensile testing device to conduct a dynamic tensile test, and generate the peak index of tensile force, deformation rate and change value of hook and loop surface breakage under different tensile stages.

[0024] In this embodiment of the invention, standard hook and loop fastener samples are mounted on a dynamic tensile testing device according to the tensile stage parameters of the hook and loop fastener. This ensures that the samples are securely mounted and correctly positioned, and that the clamps apply appropriate force to prevent slippage or damage during the tensile process. The dynamic tensile testing device is then activated, and a dynamic tensile test is conducted according to the set tensile stage parameters. During the test, tensile force data is collected in real time using a force sensor, and displacement deformation data is collected using a displacement sensor. Simultaneously, a high-speed camera captures the dynamic changes on the sample surface, resulting in an image set. Based on the collected data, the peak tensile force index, deformation rate, and hook and loop breakage variation value are calculated and generated for different tensile stages. These indicators comprehensively reflect the mechanical properties and structural changes of the sample at different tensile stages.

[0025] Furthermore, step S23 includes the following steps: Step S231: Based on the number of hook and loop surface bonding distributions corresponding to each hook and loop standard sample, count the number of effective bonding points between the hook teeth and fibers per unit area for each hook and loop standard sample. In this embodiment of the invention, images of the hook and loop fastener surfaces after bonding are captured using a high-definition microscope (100x magnification) on each 1 cm × 1 cm standard sample. The image resolution is 2048 × 2048 pixels, ensuring that the bonding state of each hook tooth and fiber is clearly visible. Image analysis software is used to binarize the images, setting the hook tooth pixel threshold to 180-255 (white) and the fiber pixel threshold to 50-120 (gray). Effective bonding points are automatically identified – defined as points where the tip of the hook tooth is fully embedded in the fiber bundle and the contact area exceeds 50% of the hook tooth surface area. Each sample image is counted three times independently, and the average value is taken as the total number of effective bonding points for that sample. This average is then divided by the sample area (1 square centimeter) to obtain the number of effective bonding points per unit area. For example, the three counts for sample B5-Z-3 are 86, 88, and 87, with an average of 87. The number of effective bonding points per unit area is 87 / square centimeter. The statistical results for all samples are correlated with the hook tooth density parameter in their morphological reference data.

[0026] Step S232: Based on the number of effective bonding points between the hook teeth and fibers per unit area of ​​each hook and fastener standard sample, obtain the bonding point density of the hook and fastener standard sample under each tensile stage. In this embodiment of the invention, a standard hook and loop fastener sample is mounted on the clamps of a tensile testing machine. The clamp spacing is initially set to 1 cm, and the tensile speed is controlled at 1 mm / min. The tensile displacement and tensile force are recorded throughout the process. The tensile process is divided into five stages: initial stage (displacement 0-0.2 cm), micro-deformation stage (0.2-0.5 cm), medium deformation stage (0.5-1.0 cm), large deformation stage (1.0-1.5 cm), and pre-fracture stage (1.5 cm to fracture). At the end of each stage, the sample is held in a tensile state for 30 seconds. Simultaneously, a high-speed camera (100 frames / second) is used to capture images of the hook and loop bonding area. The number of effective bonding points is counted in real time using image recognition technology. This count is then divided by the current area of ​​the sample (area after tension = initial area × (1 + displacement / initial length)) to obtain the bonding point density for each tensile stage. For example, when specimen B5-Z-3 reaches the end of the micro-deformation stage (displacement of 0.5 cm), the number of effective bonding points is 65, the current area is 1.5 square centimeters, and the bonding point density is 43.3 bonding points / square centimeter. The density value of each stage is recorded simultaneously with the corresponding tensile force data.

[0027] Step S233: Calculate the corresponding holding time coefficient based on the joint density of the hook and loop fastener standard specimen at each tensile stage, and determine the holding time correction range corresponding to different structural strength grades by combining the structural grading data of the hook and loop fastener specimen. In this embodiment of the invention, the holding time coefficient is calculated using the following formula: Holding Time Coefficient = Bond Density × Initial Bond Strength × Stage Displacement Coefficient, where the initial bond strength is the average tensile force (in N / cm²) of each specimen in the initial stage, and the stage displacement coefficient is set according to the tensile stage as follows: initial stage 1.0, micro-deformation stage 0.8, medium deformation stage 0.6, large deformation stage 0.4, and pre-fracture stage 0.2. For example, the initial bond strength of specimen B5-Z-3 is 2.5 N / cm², the bond density in the medium deformation stage is 43.3 / cm², and the stage displacement coefficient is 0.6. The calculated holding time coefficient is 43.3 × 2.5 × 0.6 = 64.95. The structural grading data of hook and loop fastener samples are divided into three levels according to the hook density: high density (≥80 hooks / cm²), medium density (50-79 hooks / cm²), and low density (≤49 hooks / cm²). The corresponding hold-up time correction ranges are +5%, 0%, and -5%, respectively. By referring to the hook density of sample B5-Z-3 (82 hooks / cm²), its correction range is determined to be +5%.

[0028] Step S234: Based on the holding time correction range, perform dynamic correction calculation of the holding time coefficient of the hook and loop fastener standard sample under each tensile stage to obtain the holding time corresponding to each tensile stage.

[0029] In this embodiment of the invention, the dynamic correction calculation of the holding time adopts the following formula: Corrected holding time = Holding time coefficient × (1 + Holding time correction range) × Stage holding time reference time, where the stage holding time reference time is fixed according to the tensile stage as follows: initial stage 60 seconds, micro-deformation stage 45 seconds, medium deformation stage 30 seconds, large deformation stage 15 seconds, and pre-fracture stage 5 seconds. For example, the holding time coefficient of specimen B5-Z-3 in the medium deformation stage is 64.95, the correction range is +5%, and the stage holding time reference time is 30 seconds. The calculated corrected holding time is 64.95 × 1.05 × 30 = 2070.975 seconds, which is rounded to the nearest integer 2071 seconds. After the holding time of each tensile stage is calculated, it is associated with the bonding point density and tensile force value of that stage to form complete stage performance data. The holding time of the pre-fracture stage needs to be additionally marked with the corresponding number of remaining bonding points to ensure the completeness of the time dimension data of tensile strength evaluation.

[0030] Furthermore, step S25 includes the following steps: Step S251: Based on the tensile stage parameters of the hook and loop fastener, install the standard hook and loop fastener sample on the dynamic tensile testing device to conduct a dynamic tensile test, and simultaneously collect the real-time tensile force data, displacement deformation data and dynamic change image set of the sample surface under different tensile stages. In this embodiment of the invention, the parameters for the tensile stage of the hook and loop fastener include: In the initial stage, the tensile rate is set to a low level, the holding time is set to a short duration, and a single cyclic tensile test is performed; in the micro-deformation stage, the rate is increased to a moderately low level, the holding time is extended to a moderately short duration, and a single cyclic tensile test is performed; in the medium deformation stage, the rate is increased to a moderate level, the holding time is extended to a moderate duration, and a double cyclic tensile test is performed; in the large deformation stage, the rate is increased to a moderately high level, the holding time is extended to a moderately long duration, and a double cyclic tensile test is performed; and in the pre-fracture stage, the rate is increased to a high level, the holding time is extended to a relatively long duration, and a three-stage cyclic tensile test is performed. The two ends of the standard hook and loop fastener sample are aligned with the scale lines of the clamps on the dynamic tensile testing device. The clamp spacing is set according to the length of the gauge length on the hook and loop surface, and the clamping force is controlled to prevent sample slippage. The force sensor range of the testing device covers the required testing range, the accuracy meets the detection requirements, and the sampling frequency is set to capture instantaneous changes, recording the force changes during the tensile process in real time. The displacement sensor resolution meets the detection requirements, synchronously acquiring changes in the length of the gauge length. A high-definition, high-speed camera is set up at a certain distance directly above the specimen. The lens focal length and aperture are adjusted to a suitable state to continuously capture the specimen surface at a frame rate that can clearly capture dynamic changes. The lens covers the entire area of ​​the gauge length to ensure that the joint state of the hook and burr surfaces is clearly distinguishable. The force value data, displacement data and image set of each tensile stage are synchronized with the image set through timestamps to form a three-dimensional associated dataset.

[0031] Step S252: Perform instantaneous processing on the real-time tensile force data corresponding to different tensile stages to extract the maximum force value within the corresponding tensile stage, and calculate the instantaneous upward or downward amplitude of the tensile force value within the range corresponding to the maximum force value. At the same time, calculate the corresponding tensile force peak index based on the instantaneous upward or downward amplitude of the tensile force value combined with the maximum force value to generate the tensile force peak index under different tensile stages. In this embodiment of the invention, the real-time tensile force data for each tensile stage is processed using a segmented sliding method: the force data of the initial stage is divided into data segments according to fixed time units, and the maximum force value within that stage is extracted using an extreme value search algorithm to determine its corresponding time point. Based on the time of the maximum force value occurrence, a force value range of fixed durations before and after is defined. The minimum force value within the preceding duration is found, and the instantaneous upward amplitude of the tensile force value is calculated as the difference between the maximum force value and the minimum force value. Similarly, the minimum force value within the following duration is found, and the instantaneous downward amplitude of the tensile force value is calculated as the difference between the maximum force value and the minimum force value. The formula for calculating the peak index of the tensile force value is: Peak Index = (Upward Amplitude - Downward Amplitude) ÷ Maximum Force Value × 100%. The peak index of the initial stage is calculated using this formula. The same method is used for the micro-deformation stage and the medium-deformation stage: first, the maximum force value, upward amplitude, and downward amplitude are determined, and then the peak index is calculated using the formula. The peak index of each stage is retained to two decimal places, forming a force value characteristic sequence according to the stage order.

[0032] Step S253: Obtain the initial length of the hook and loop surface and the gauge length of the hook and loop surface corresponding to the standard sample of hook and loop tape. Based on the displacement deformation data corresponding to different tensile stages, obtain the average displacement deformation segment length corresponding to the gauge length of the hook and loop surface. At the same time, calculate the deformation rate based on the ratio between the average displacement deformation segment length corresponding to the gauge length of the hook and loop surface and the initial length of the hook and loop surface, and generate the deformation rate under different tensile stages. In this embodiment of the invention, the initial length of the hook and loop surface of the standard sample of hook and loop fastener is measured using a digital vernier caliper. The gauge length segment of the hook and loop surface is the free tension area between the clamps, and its length is consistent with the initial length. For the displacement deformation data of each tension stage, a multi-point measurement method is used to obtain the gauge length segment length: at the end of the initial stage, the length is measured at three points on the left, middle, and right of the gauge length segment, the average value of the three points is calculated, and then the initial length is subtracted to obtain the average displacement deformation segment length. The deformation rate is calculated using the formula: Deformation rate = (Average displacement deformation segment length ÷ Initial length of hook and loop surface) × 100%. The deformation rate of the initial stage is calculated using this formula. The same method is used for the micro-deformation stage and the medium deformation stage. First, the average gauge length of the gauge length is obtained through multi-point measurement, the average deformation segment length is calculated, and then the deformation rate is calculated by substituting it into the formula. The deformation rate calculation for each stage is retained to two decimal places and strictly corresponds to the displacement data of the corresponding stage.

[0033] Step S254: Perform a fracture evaluation calculation on the dynamic change image set of the sample surface under different tensile stages to generate the fracture change value of the hook surface under different tensile stages.

[0034] In this embodiment of the invention, the breakage of the hook-like surface is evaluated by analyzing a set of images showing dynamic changes in the sample surface at different tensile stages: First, the images are preprocessed, using Gaussian filtering to remove noise, and threshold segmentation to extract the contours of the hooks and fibers. In the initial stage image, all joints remain fully engaged, the number of broken knots is zero, and the breakage ratio is zero. Combining the deformation rate and correction coefficient for this stage, the breakage variation value for the initial stage is calculated using the formula: breakage variation value = breakage ratio × deformation rate × correction coefficient. In the micro-deformation stage image, some joints are detected to be broken (the hooks detach from the fiber bundle). The breakage ratio is calculated as the number of broken knots divided by the total number of joints multiplied by 100%. Combining the deformation rate and correction coefficient for this stage, the breakage variation value for the micro-deformation stage is calculated using the formula. In the images of the intermediate deformation stage, more joint fractures and some joint separations were detected (contact area < 30% of the initial area). The total number of fractures is the sum of the number of fractures and the number of separations. The fracture ratio is calculated by dividing the total number of fractures by the total number of joints and then multiplying by 100%. Combined with the deformation rate and correction coefficient of this stage, the fracture variation value of the intermediate deformation stage is calculated by substituting into the formula. The fracture variation value of each stage is retained to two decimal places and forms a correlation evaluation index with the tensile force peak index and deformation rate.

[0035] Furthermore, step S254 includes the following steps: The images of dynamic changes in the specimen surface under different tensile stages are arranged in chronological order to form a continuous image sequence of the specimen surface, and the corresponding tensile force value and displacement deformation are labeled in each image. In this embodiment of the invention, starting from the beginning of the dynamic tensile test, a set of images of the dynamic changes in the specimen surface at different tensile stages, captured by a high-speed camera, are arranged in chronological order to form a continuous sequence of specimen surface images. The arrangement must strictly adhere to the timestamp information inherent in the images, ensuring that the initial stage images come first, followed by the pre-fracture stage images, and that the images of each stage are sequentially connected without omission. The tensile force value and displacement deformation at the corresponding moment are marked at a fixed corner of each image. The tensile force value data is taken from real-time data collected by a force sensor, and the displacement deformation data is taken from synchronous records of a displacement sensor. The markings must be clearly identifiable and not obscure the hooked areas of the specimen surface, ensuring that the morphology of the hooks and fibers in the image is fully presented. This allows each image to not only display the specimen surface state but also intuitively reflect the mechanical and deformation information at that moment.

[0036] Preferably, the continuous image sequence of the sample surface is preprocessed, including image enhancement, noise reduction and edge detection, to highlight the contours corresponding to the hooks and fibers, and generate a clear image sequence of the sample surface. In this embodiment of the invention, a continuous image sequence of the sample surface is preprocessed. Image enhancement employs histogram equalization, which adjusts the grayscale distribution of the image to improve the brightness contrast of the hook and fiber regions, making the originally blurred hook edges and fiber outlines clearer. Noise reduction uses median filtering, selecting an appropriate filter window size to filter noise points in the image while preserving the detailed features of the hooks and fibers, avoiding over-filtering that could lead to contour distortion. Edge detection utilizes the Canny operator, which, by setting a reasonable threshold, accurately extracts the edge lines of the hooks and fibers, distinguishing between hooks, fibers, and background areas. The preprocessed image must ensure that the hooks present a continuous and clear outline, the fiber morphology can be accurately identified, and the background area has no obvious interference information. The resulting clear image sequence of the sample surface lays the foundation for subsequent bonding point identification.

[0037] Preferably, the total number of corresponding hook and fiber bonding points is obtained by obtaining the clear image sequence of the sample surface and the corresponding hook-fiber connection position in the initial bonding state is marked to establish a corresponding sample initial bonding point coordinate library. In this embodiment of the invention, the initial frame (image before the tensile test) of the cleared image sequence of the sample surface is analyzed. The initial frame image is magnified using an image recognition tool to carefully observe the hook-fiber interface area. The total number of hook-fiber interface points where all hooks and fibers mesh is manually counted. During counting, the contact position between the hook and fiber is confirmed one by one to ensure no duplication or omission. An image coordinate system is used to mark the hook-fiber connection position of each interface point in the initial interface state. With the upper left corner of the image as the origin, the horizontal axis as the horizontal axis, and the vertical axis as the vertical axis, the coordinate position of each interface point is recorded, forming a coordinate library of the initial interface points of the sample. For example, 87 interface points are counted in the initial frame of sample B5-Z-3, consistent with the statistical result of step S231. The hook-fiber connection position of each bonding point is marked using an image coordinate system (with the top left corner of the image as the origin, the X-axis horizontally to the right, and the Y-axis vertically downward, in pixels), and recorded as (X1,Y1), (X2,Y2)...(X87,Y87), where each coordinate is accurate to 1 pixel (corresponding to an actual size of 0.001 mm). These coordinates are associated with the bonding point numbers (1-87) and stored to establish an initial bonding point coordinate library for the sample. The coordinate library contains both the hook number of each bonding point and the position information of the corresponding fiber bundle, providing a spatial reference for subsequent tracking of bonding point changes.

[0038] Preferably, based on the tensile force value and displacement deformation corresponding to each image under different tensile stages, and combined with the initial joint point coordinate library of the specimen, the number of hooks, the number of detached fibers and the number of separated joint points corresponding to the joint fracture are statistically analyzed to generate statistical data on the number of tensile fracture joints of the specimen. In this embodiment of the invention, for each image under different tensile stages, the tensile force value and displacement deformation marked in the image are extracted, and the initial joint point coordinate library of the specimen is called. An image comparison tool is used to perform pixel-level comparison between the current image and the initial frame image. Based on the initial position recorded in the coordinate library, the state of each joint point is checked one by one. The criteria for determining the number of broken hooks are: the hook profile shows obvious breakage and is completely separated from the corresponding fiber; the criteria for determining the number of detached fibers are: the fiber bundle detaches from the substrate and loses contact with all hooks; the criteria for determining the number of separated joint points are: the contact area between the hook and the fiber is less than 30% of the initial contact area. The number of samples meeting the above criteria in each image is counted, and the results are correlated with the corresponding tensile force value and displacement deformation to generate statistical data on the number of tensile fractures in the specimen. The data needs to be categorized and organized according to the tensile stage, and the details of fractures in each stage must be clearly defined.

[0039] Preferably, the ratio between the number of tensile fractures of the specimen and the total number of hook and burr joints is calculated based on the statistical data of tensile fractures of the specimen, and the distribution density of tensile fracture locations of the specimen is obtained. At the same time, the fracture ratio is quantified based on the ratio between the distribution density of tensile fracture locations of the specimen and the total number of hook and burr joints, so as to generate the fracture ratio of the hook and burr surface of the specimen under different tensile stages. In this embodiment of the invention, the percentage of broken knots is obtained by dividing the total number of broken knots in each tensile stage by the total number of knots at the joints on the hooked surface, based on the statistical data of the number of broken knots in the tensile test specimen. The distribution density of broken knot locations in the tensile test specimen is obtained by using a grid division method. The specimen surface image is uniformly divided into multiple grids of equal area, and the number of broken knots in each grid is counted. Then, the number of broken knots is divided by the grid area to obtain the density of broken knots per unit area. The quantification of the broken knot ratio is achieved through weighted calculation. The percentage of broken knots and the distribution density of broken knot locations are used as parameters and weighted according to a fixed ratio. The weighted sum of the two results in the quantified broken knot ratio. This process is followed for different tensile stages to generate the corresponding broken knot ratio of the hooked surface of the specimen. The ratio should reflect the severity of broken knots in each stage and show a reasonable trend of change as the tensile degree progresses.

[0040] Preferably, the degree of change in the degree of change in the degree of change of ...

[0041] In the example described in this invention, the breakage ratio of the hook and loop surface of the specimen and the deformation rate of that stage are obtained at each tensile stage. The deformation rate is calculated using displacement deformation data. The calculation of the breakage change measure adopts a multiplication formula, multiplying the breakage ratio by the deformation rate and then multiplying by the correction coefficient corresponding to that tensile stage. The correction coefficient is set according to the characteristics of the tensile stage, with the smallest correction coefficient in the initial stage and the largest correction coefficient in the pre-fracture stage. The breakage change value = breakage ratio × deformation rate × stage correction coefficient. During the calculation, it is necessary to ensure that the numerical range of the breakage ratio and deformation rate is consistent, and the product result can accurately reflect the change of the degree of breakage with deformation. The generated hook and loop breakage change values ​​at different tensile stages need to be correlated with the peak index of the tensile force value of that stage, together constituting the core index for evaluating the tensile performance of hook and loop fasteners, and fully presenting the evolution of structural damage of the specimen during the tensile process.

[0042] Furthermore, step S3 includes the following steps: Step S31: Plot the tensile force peak-deformation curve of the sample hook surface based on the peak index of tensile force and deformation rate at different tensile stages. In this embodiment of the invention, the peak tensile force index and deformation rate at different tensile stages are collected, and a coordinate system is drawn using a plotting tool with deformation rate on the horizontal axis and peak tensile force index on the vertical axis. The deformation rate and peak tensile force index corresponding to each tensile stage are marked as points in the coordinate system. For example, in the initial stage, when the deformation rate is small, the peak tensile force index is relatively low. As tensile stress progresses, the deformation rate increases in the intermediate deformation stage, and the peak tensile force index also increases accordingly. In the later stage of the large deformation stage, the growth of the peak tensile force index slows down. All marked points are connected by a smooth curve to form a peak tensile force-deformation curve for the rough surface of the specimen. The curve must completely present the trend from the initial stage to the pre-fracture stage, ensuring that the characteristic points of each stage accurately fall on the curve, and can intuitively reflect the change law of the peak tensile force index with the deformation rate.

[0043] Step S32: Calculate the corresponding slope change rate through the tensile force peak-deformation curve of the hooked surface, and identify the inflection point of the tensile force peak-deformation curve of the hooked surface based on the slope change rate, so as to generate the inflection point of the force-deformation curve of the hooked surface. In this embodiment of the invention, the tensile force peak-deformation curve of the hooked surface is segmented. Three adjacent points on the curve are selected, and the slopes of the lines connecting the first two points and the last two points are calculated. The ratio of the difference between these two slopes to the corresponding deformation rate interval is the slope change rate of that interval. The slope change rate of each interval is calculated sequentially along the curve from the initial stage to the pre-fracture stage. When the slope change rate changes from a positive value to a negative value or the absolute value exceeds a set threshold, the position is determined to be an inflection point of the curve. For example, at the transition from the medium deformation stage to the large deformation stage, the slope changes from steep to gentle, and the slope change rate decreases significantly. This position is the inflection point of the hooked surface force-deformation curve. All identified inflection points are arranged in order of appearance to generate a list of inflection points of the hooked surface force-deformation curve. Each inflection point needs to be labeled with its corresponding deformation rate and tensile force peak index.

[0044] Step S33: Based on the change value of the breakage of the hook and loop surface under different tensile stages, the inflection point of the force-deformation curve of the hook and loop surface is identified and determined for tensile failure. The failure type of the hook and loop surface corresponding to each inflection point of the force-deformation curve is determined by combining the change value of the breakage of the hook and loop surface, including hook tooth breakage, fiber breakage and hook separation, so as to generate the tensile failure node corresponding to the standard sample of hook and loop fastener. In this embodiment of the invention, the change value of the breakage knots on the hook and fiber surface under different tensile stages is extracted and correlated with the inflection point of the force-deformation curve of the hook and fiber surface. When the change value of the breakage knots on the hook and fiber surface at the inflection point is mainly caused by the breakage of the hook teeth, obvious fracture marks are observed on the hook teeth through the image, and the proportion of broken hook teeth exceeds half of the total number of broken knots, and the hook teeth corresponding to the inflection point are determined to have failed due to fracture. If the change value of the breakage knots is mainly caused by the fiber being pulled apart, and the proportion of fiber breakage exceeds half of the total number of broken knots, it is determined to be a fiber breakage failure. If the proportion of hook teeth and fibers that are not broken but separated exceeds half of the total number of broken knots, it is determined to be a hook and fiber separation failure. For example, if the proportion of hook tooth breakage in the total number of broken knots at a certain inflection point reaches 60%, the hook tooth fracture failure corresponding to that inflection point is determined. The failure type is determined for each inflection point in this way, generating a tensile failure node.

[0045] Step S34: Based on the tensile failure node and combined with the tensile force peak index, deformation rate and morphological reference data, perform preliminary tensile strength detection, take the tensile force peak index corresponding to the tensile failure node as the failure critical force value, take the corresponding deformation rate as the deformation threshold, calculate the cross-sectional area of ​​the sample by combining the width and thickness corresponding to the morphological reference data, and calculate the tensile strength value per unit area based on the failure critical force value and deformation threshold and combined with the cross-sectional area of ​​the sample to generate the initial value of the tensile strength of the hook and loop fastener fabric. In this embodiment of the invention, the tensile failure node is used as the basis. This node is determined by combining the inflection point of the force-deformation curve of the hooked surface and the failure type, representing the key location where the specimen fails under tension. The peak index of the tensile force value corresponding to this node is taken as the critical failure force value, which reflects the maximum force value that the specimen can withstand when this type of failure occurs. The corresponding deformation rate is taken as the deformation threshold, which reflects the degree of deformation of the specimen when failure occurs. The width and thickness of the specimen are obtained from the morphological reference data. These data are obtained through precise measurements during the specimen preparation stage and have high accuracy. Multiplying the width and thickness gives the cross-sectional area of ​​the specimen, which is the basis for calculating the tensile strength per unit area. During the preliminary tensile strength test, the critical failure force value is first divided by the cross-sectional area of ​​the specimen to obtain the tensile strength per unit area, which reflects the force borne by the specimen per unit area when failure occurs. At the same time, this value is corrected by the deformation threshold, because different degrees of deformation will affect the actual stress state of the material. The larger the deformation threshold, the greater the deformation that occurred before failure, the more serious the damage to the internal structure of the material, and the greater the correction range. During the correction process, the specific correction ratio needs to be determined based on the relationship between the deformation threshold and the material properties. After correction, the initial value of the tensile strength of the hook and loop fastener fabric is generated.

[0046] Step S35: By introducing an environmental impact factor, and based on the environmental impact factor, perform sample tensile correction calculations on the initial value of the hook and loop fastener fabric tensile strength to obtain the corrected value of the hook and loop fastener fabric tensile strength.

[0047] In this embodiment of the invention, an environmental impact factor is introduced, which is calculated based on real-time temperature and humidity data collected during the dynamic tensile test. The temperature gradient is obtained by calculating the ratio of the temperature difference between adjacent moments to the time interval using continuously measured temperature values. The humidity gradient is calculated in the same way as the temperature gradient. Taking into account the combined effects of temperature and humidity gradients on the performance of the hook and loop fastener, the environmental impact factor is calculated with a certain weight. The initial value of the tensile strength of the hook and loop fastener fabric is multiplied by the environmental impact factor to obtain a corrected value for the tensile strength of the hook and loop fastener fabric. When the environmental impact factor is greater than 1, the corrected value is greater than the initial value, and vice versa. For example, in a high-temperature and high-humidity environment, the environmental impact factor is less than 1. After multiplying the initial value by the factor, the corrected value is lower than the initial value, thus more accurately reflecting the influence of the environmental conditions on the tensile strength of the hook and loop fastener.

[0048] Furthermore, step S35 includes the following steps: Step S351: Obtain environmental pre-inspection samples from the same batch of standard hook and loop fastener samples, simultaneously collect the temperature and humidity corresponding to the dynamic tensile test, and calculate the corresponding temperature gradient and humidity gradient based on the temperature and humidity to generate environmental impact factors. In this embodiment of the invention, an environmental pre-inspection sample with the same dimensions as the standard sample is cut from the same batch of fabric as the standard hook and loop fastener sample to ensure that the two are completely identical in material, structure, and manufacturing process. Before the dynamic tensile test begins, temperature and humidity sensors are fixed around the testing device, with the horizontal distance between the sensors and the sample maintained within a fixed range to accurately collect real-time temperature and humidity during the test. Temperature and humidity data are continuously collected during the test, with values ​​recorded at fixed intervals. For example, if the initial temperature is a certain value, and the temperature rises to another value after a fixed interval, the temperature gradient is the ratio of the difference between the two values ​​to the fixed interval; if the initial humidity is a certain value, and the humidity drops to another value after the same interval, the humidity gradient is calculated in the same way. The temperature gradient and humidity gradient are added together with weights set according to the degree of environmental influence on the performance of the hook and loop fastener, with temperature having a higher weight than humidity. The sum of the two is the environmental impact factor. For example, if the temperature gradient and humidity gradient are both a certain value, they are added together with a higher weight for temperature. The resulting environmental impact factor comprehensively reflects the degree of influence of temperature and humidity changes on the test.

[0049] Step S352: Based on the environmental impact factors, conduct dynamic tensile tests on the environmental pre-inspection samples in step S2 to collect the original tensile strength assessment values ​​corresponding to different environmental conditions. In this embodiment of the invention, different environmental conditions are selected by using environmental impact factors as a reference, including high temperature and high humidity, high temperature and low humidity, low temperature and high humidity, low temperature and low humidity, and normal temperature and humidity. Each environmental condition is precisely controlled by a constant temperature and humidity chamber. For example, high temperature and high humidity is set to a state with high temperature and high humidity, while high temperature and low humidity is set to a state with high temperature but low humidity. The dynamic tensile test of step S2 is performed on the environmental pre-inspection sample under each environmental condition. The tensile stage parameters of the test are consistent with the parameters of the standard sample, including the tensile rate gradient, holding time, and number of tensile cycles. During the test, the peak index of tensile force, deformation rate, and the degree of change of the fracture surface under different environmental conditions are recorded simultaneously. For example, under high temperature and high humidity conditions, the peak index of tensile force is significantly lower than that under normal temperature and humidity conditions, while the degree of change of the fracture surface is higher. These data are integrated into the original tensile strength evaluation value. The test under each environmental condition is repeated multiple times, and the average value is taken as the final original evaluation value under that condition to ensure the reliability and repeatability of the data.

[0050] Step S353: Obtain the corresponding tensile strength decay rate by using the original tensile strength assessment value under different environmental conditions, and establish the environmental influence change curve between temperature, humidity and tensile strength decay rate based on temperature and humidity combined with the tensile strength decay rate under different environmental conditions. In this embodiment of the invention, the tensile strength attenuation rate is obtained by using the original tensile strength assessment value under normal temperature and humidity conditions as a benchmark, calculating the difference between the original tensile strength assessment value and the benchmark value under other environmental conditions, and then dividing by the benchmark value. A positive attenuation rate indicates a decrease in strength, while a negative attenuation rate indicates an increase in strength. For example, if the original assessment value under normal temperature and humidity conditions is a benchmark, and the original assessment value under high temperature and humidity conditions is lower than the benchmark, the calculated attenuation rate is positive and relatively large; under low temperature and low humidity conditions, the original assessment value is slightly higher than the benchmark, and the attenuation rate is negative. The temperature and humidity values ​​corresponding to each environmental condition are recorded, and temperature is used as the horizontal axis, humidity as the vertical axis, and tensile strength attenuation rate as the vertical axis, marking each data point in a three-dimensional coordinate system. A curve fitting tool is used to fit these data points, connecting them to form a smooth environmental influence change curve. The curve clearly shows that the tensile strength attenuation rate increases with rising temperature and humidity. For example, the curve rises steeply in the high temperature and high humidity region, while the curve is flat or even slightly decreasing in the low temperature and low humidity region. The correlation between temperature, humidity, and tensile strength attenuation rate can be intuitively observed through the curve.

[0051] Step S354: Calculate the environmental correction coefficients corresponding to different environmental conditions based on the environmental influence variation curves between temperature, humidity and tensile strength decay rate, and perform sample tensile correction calculations on the initial tensile strength values ​​of the corresponding hook and loop fastener fabric based on the environmental correction coefficients corresponding to different environmental conditions, to obtain the tensile strength correction values ​​of the hook and loop fastener fabric.

[0052] In this embodiment of the invention, based on the environmental influence curves of temperature, humidity, and tensile strength decay rate, the tensile strength decay rate corresponding to different environmental conditions is found on the curves. The decay rate is converted into an environmental correction coefficient. The formula for calculating the correction coefficient is 1 minus the decay rate; the larger the decay rate, the smaller the correction coefficient. For example, under high temperature and high humidity conditions, if the decay rate is a certain value, the corresponding correction coefficient is 1 minus that value, which is relatively small; under low temperature and low humidity conditions, if the decay rate is a negative value, the correction coefficient is 1 minus that negative value, which is slightly greater than 1. An initial value of the tensile strength of the hook and loop fastener fabric is obtained, which is the tensile strength test result under standard environmental conditions. The initial value of the tensile strength is multiplied by the correction coefficient corresponding to the environmental condition to obtain the corrected value of the hook and loop fastener fabric tensile strength. For example, if the initial value is a certain value, multiplying it with a smaller correction coefficient under high temperature and high humidity conditions results in a significantly lower corrected value than the initial value; multiplying it with a correction coefficient slightly greater than 1 under low temperature and low humidity conditions results in a slightly higher corrected value than the initial value. These corrected values ​​accurately reflect the actual tensile strength of the hook and loop fastener under different environmental conditions.

[0053] Furthermore, step S4 includes the following steps: Step S41: Based on the tensile strength correction value of the hook and loop fastener fabric, the fabric area corresponding to the standard hook and loop fastener sample is divided and decomposed to obtain the tensile strength correction sub-values ​​corresponding to the edge area, transition area and center area. In this embodiment of the invention, for example, the tensile strength correction value of the hook and loop fastener fabric is 57.75 N / cm². The sample is disassembled according to the area division of the standard hook and loop fastener specimen (the edge area is a ring-shaped area 1 cm from the edge of the specimen, the transition area is a ring-shaped area 1 cm inside the edge area, and the central area is the remaining square area). By calculating the area proportion of each area in the specimen, the edge area accounts for 28%, the transition area accounts for 36%, and the central area accounts for 36%. The tensile strength correction value is allocated according to the area proportion: the tensile strength correction sub-value for the edge area is 57.75 × 28% = 16.17 N / cm², for the transition area it is 57.75 × 36% = 20.79 N / cm², and for the central area it is 57.75 × 36% = 20.79 N / cm². During the disassembly process, it must be ensured that the sum of the correction sub-values ​​for each area equals the overall correction value, and that the correction sub-value for each area is consistent with the actual tensile performance trend of that area. Due to its poor structural stability, the correction sub-value for the edge area is lower than that for the transition area and the central area.

[0054] Step S42: Determine the structural morphological differences corresponding to the edge area, transition area and center area through the multi-zone morphological dataset, and calculate the tensile strength deviation rate corresponding to different fabric areas based on the tensile strength correction sub-values ​​corresponding to the edge area, transition area and center area and the corresponding structural morphological differences. In this embodiment of the invention, the multi-zone morphology dataset shows that the average hook height in the edge zone is 0.2 cm and the spacing is 0.15 cm, the average hook height in the transition zone is 0.25 cm and the spacing is 0.12 cm, and the average hook height in the center zone is 0.3 cm and the spacing is 0.1 cm. The structural morphology difference is mainly reflected in the increasing hook height and decreasing spacing. Based on the tensile strength correction sub-values ​​of each region (16.17 N / cm² for the edge zone, 20.79 N / cm² for the transition zone, and 20.79 N / cm² for the center zone), the tensile strength deviation rate is calculated. Taking the center zone as the benchmark, the deviation rate of the edge zone is (16.17-20.79) / 20.79×100%≈-22.2%, and the deviation rate of the transition zone is (20.79-20.79) / 20.79×100%=0%. The deviation rate calculation needs to be combined with the analysis of the structural morphology differences. The edge area has a negative deviation rate and a large absolute value due to the low height and large spacing of the hook teeth. The transition area has a similar structural morphology to the central area, and the deviation rate is zero.

[0055] Step S43: Construct a three-dimensional morphological model of the hook and loop fastener fabric based on the multi-region morphological dataset, and generate the tensile strength distribution of the hook and loop fastener fabric based on the tensile strength deviation rate of different fabric regions and the three-dimensional morphological model of the hook and loop fastener fabric. In this embodiment of the invention, a three-dimensional morphological model of the hook and loop fastener fabric is constructed using three-dimensional point cloud data based on a multi-zone morphological dataset and a three-dimensional modeling tool. The model accurately reproduces the structural features such as the height and spacing of the hook teeth in the edge, transition, and central areas. The hook teeth in the edge area are low and sparse, while those in the central area are high and dense. The tensile strength deviation rates of different fabric regions (edge ​​area -22.2%, transition area 0%, central area 0%) are mapped onto the three-dimensional morphological model, and a color gradient is used to indicate the intensity distribution. The edge area is represented by blue (low intensity), and the transition and central areas are represented by green (medium intensity). The color depth is proportional to the absolute value of the deviation rate. The generated tensile strength distribution of the hook and loop fastener fabric clearly shows that the edge area has lower strength than other areas, corresponding to the structural morphological differences and intuitively presenting the strength performance of different areas of the fabric.

[0056] Step S44: Based on the tensile strength distribution of the hook and loop fastener fabric and the corresponding tensile failure nodes, output the corresponding tensile strength test report of the hook and loop fastener fabric.

[0057] In this embodiment of the invention, the tensile strength distribution of the hook and loop fastener fabric shows that the edge area has the lowest tensile strength, while the transition and center areas have consistent strength. Combined with the tensile failure points (hoop breakage at 65% deformation rate, fiber breakage at 110% deformation rate), a tensile strength test report is output. The report includes a screenshot of the three-dimensional morphological model and a color-coded illustration of the strength distribution, annotating the tensile strength correction values ​​for each area (16.17 N / cm² for the edge area, 20.79 N / cm² for the transition area, and 20.79 N / cm² for the center area) and the deviation rate. It describes in detail the regional characteristics corresponding to the failure points; hook breakage mainly occurs in the edge area, while fiber breakage is concentrated in the transition and center areas. The report also needs to explain the impact of environmental factors on the results (high temperature and low humidity leading to strength reduction) and provide usage suggestions, such as avoiding the edge area bearing the main tensile force, to ensure that the test report comprehensively reflects the strength performance and distribution patterns of the hook and loop fastener fabric.

[0058] Furthermore, the present invention also provides a hook and loop fastener fabric tensile strength testing system, including a processor, a memory, and a computer program stored in the memory and executable on the processor, for performing the hook and loop fastener fabric tensile strength testing method as described above.

[0059] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for testing the tensile strength of hook and loop fastener fabric, characterized in that, Includes the following steps: Step S1: Perform multi-directional morphological sampling on the hook and loop fastener fabric to obtain the hook and loop sample morphology corresponding to the edge area, transition area and center area of ​​the hook and loop fastener fabric, and generate a multi-area morphological dataset; perform sample benchmark preprocessing based on the multi-area morphological dataset to obtain the standard hook and loop fastener sample and the corresponding morphological benchmark data. Step S2: Based on the morphological reference data, obtain the corresponding hook and loop fastener tensile stage parameters, and based on the hook and loop fastener tensile stage parameters, install the hook and loop fastener standard sample on the dynamic tensile testing device to conduct a dynamic tensile test, and generate the peak index of tensile force, deformation rate and change value of hook and loop surface breakage under different tensile stages. Step S3: Based on the change value of hook and loop breakage at different stretching stages, obtain the tensile failure node corresponding to the standard sample of hook and loop fastener. Based on the tensile failure node and combined with the peak index of tensile force, deformation rate and morphological reference data, conduct preliminary tensile strength detection to generate the initial value of tensile strength of hook and loop fastener fabric. By introducing environmental impact factors and performing sample tensile correction calculations based on the initial value of the tensile strength of the hook and loop fastener fabric according to the environmental impact factors, the corrected value of the tensile strength of the hook and loop fastener fabric is obtained. Step S4: Analyze the tensile strength deviation of different fabric regions based on the tensile strength correction value of the hook and loop fastener fabric and the multi-region morphology dataset, and generate the tensile strength distribution of the hook and loop fastener fabric based on the tensile strength deviation of different fabric regions; output the corresponding tensile strength test report of the hook and loop fastener fabric based on the tensile strength distribution of the hook and loop fastener fabric and the corresponding tensile failure node.

2. The method for testing the tensile strength of hook and loop fastener fabric according to claim 1, characterized in that, Step S1 includes the following steps: Step S11: By cutting samples from different positions of the hook and loop fastener fabric, each sample contains a hook side and a corresponding nap side, and marking the warp and weft directions of each sample and its original position in the hook and loop fastener fabric, the position traceability information of the hook and loop fastener sample is generated. Step S12: Based on the traceability information of the hook and loop fastener sample location, each sample is divided into regions, namely edge region, transition region and center region. The three-dimensional point cloud morphology of the hook surface corresponding to the hook tooth height, spacing, fiber length and density of each region is obtained by using a laser three-dimensional scanner to generate a multi-region morphology dataset. Step S13: Denoise the multi-region morphology dataset to remove scanning noise points and fill in missing data. At the same time, unify the 3D point cloud morphology of each region to the same coordinate system through point cloud registration to generate a multi-region morphology registration dataset. Step S14: Determine the sample cutting standard based on the multi-zone morphological registration dataset to ensure that each sample contains a complete hook and loop surface bonding unit, and use precision cutting equipment to cut the corresponding hook and loop surface sample of hook and loop, while removing dust and fiber debris attached to the surface to obtain the hook and loop standard sample. Step S15: By measuring and recording the length, width, thickness, hook density, and number of hook and loop surfaces of each hook and loop standard sample, the morphological reference data corresponding to each hook and loop standard sample is obtained.

3. The method for testing the tensile strength of hook and loop fastener fabric according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Determine the structural strength benchmark value of each hook and loop fastener standard sample based on the thickness and hook tooth density of each sample, and perform structural grading based on the structural strength benchmark value of each sample to generate hook and loop fastener sample structural grading data. Step S22: Based on the structural classification data of the hook and loop fastener sample and combined with its length and width, perform tensile rate gradient evaluation on the corresponding hook and loop fastener standard sample to evaluate and determine the tensile rate gradient interval of each hook and loop fastener standard sample in each tensile stage, and generate candidate values ​​of tensile rate gradient for each tensile stage. Step S23: Calculate the corresponding holding time coefficient based on the number of hook and loop surfaces of each hook and loop standard sample, and determine the holding time for each tensile stage based on the structural grading data of the hook and loop sample. Step S24: Based on the ratio between the width and thickness of each standard hook and loop fastener sample, determine the reference value of the number of cycles for each stretching stage, and perform correction calculations in conjunction with the structural grading data of the hook and loop fastener sample to generate the parameter of the number of cycles for each stretching stage; use the candidate value of the stretching rate gradient, the holding time, and the reference value of the number of cycles for each stretching stage as the corresponding hook and loop fastener stretching stage parameters. Step S25: Based on the tensile stage parameters of the hook and loop fastener, install the standard sample of the hook and loop fastener on the dynamic tensile testing device to conduct a dynamic tensile test, and generate the peak index of tensile force, deformation rate and change value of hook and loop surface breakage under different tensile stages.

4. The method for testing the tensile strength of hook and loop fastener fabric according to claim 3, characterized in that, Step S23 includes the following steps: Step S231: Based on the number of hook and loop surface bonding distributions corresponding to each hook and loop standard sample, count the number of effective bonding points between the hook teeth and fibers per unit area for each hook and loop standard sample. Step S232: Based on the number of effective bonding points between the hook teeth and fibers per unit area of ​​each hook and fastener standard sample, obtain the bonding point density of the hook and fastener standard sample under each tensile stage. Step S233: Calculate the corresponding holding time coefficient based on the joint density of the hook and loop fastener standard specimen at each tensile stage, and determine the holding time correction range corresponding to different structural strength grades by combining the structural grading data of the hook and loop fastener specimen. Step S234: Based on the holding time correction range, perform dynamic correction calculation of the holding time coefficient of the hook and loop fastener standard sample under each tensile stage to obtain the holding time corresponding to each tensile stage.

5. The method for testing the tensile strength of hook and loop fastener fabric according to claim 3, characterized in that, Step S25 includes the following steps: Step S251: Based on the tensile stage parameters of the hook and loop fastener, install the standard hook and loop fastener sample on the dynamic tensile testing device to conduct a dynamic tensile test, and simultaneously collect the real-time tensile force data, displacement deformation data and dynamic change image set of the sample surface under different tensile stages. Step S252: Perform instantaneous processing on the real-time tensile force data corresponding to different tensile stages to extract the maximum force value within the corresponding tensile stage, and calculate the instantaneous upward or downward amplitude of the tensile force value within the range corresponding to the maximum force value. At the same time, calculate the corresponding tensile force peak index based on the instantaneous upward or downward amplitude of the tensile force value combined with the maximum force value to generate the tensile force peak index under different tensile stages. Step S253: Obtain the initial length of the hook and loop surface and the gauge length of the hook and loop surface corresponding to the standard sample of hook and loop tape. Based on the displacement deformation data corresponding to different tensile stages, obtain the average displacement deformation segment length corresponding to the gauge length of the hook and loop surface. At the same time, calculate the deformation rate based on the ratio between the average displacement deformation segment length corresponding to the gauge length of the hook and loop surface and the initial length of the hook and loop surface, and generate the deformation rate under different tensile stages. Step S254: Perform a fracture evaluation calculation on the dynamic change image set of the sample surface under different tensile stages to generate the fracture change value of the hook surface under different tensile stages.

6. The method for testing the tensile strength of hook and loop fastener fabric according to claim 5, characterized in that, Step S254 includes the following steps: The images of dynamic changes in the specimen surface under different tensile stages are arranged in chronological order to form a continuous image sequence of the specimen surface, and the corresponding tensile force value and displacement deformation are labeled in each image. Preprocessing of the continuous image sequence of the sample surface, including image enhancement, noise reduction and edge detection, is performed to highlight the contours of the hook teeth and fibers, and generate a clear image sequence of the sample surface. The total number of hook and fiber bonding points on the sample surface is obtained by clearing the image sequence of the sample surface and the corresponding hook-fiber connection position in the initial bonding state is marked to establish the corresponding sample initial bonding point coordinate library. Based on the tensile force value and displacement deformation in each image under different tensile stages, and combined with the initial joint point coordinate library of the specimen, the number of hooks, the number of detached fibers and the number of separated joint points corresponding to the joint fracture are statistically analyzed to generate statistical data on the number of tensile fracture joints of the specimen. The ratio of the number of fractured joints in the tensile test specimen to the total number of joints on the hook and burr surface is calculated based on the statistical data of the number of fractured joints in the tensile test specimen, and the distribution density of fractured joint locations in the tensile test specimen is obtained. At the same time, the fracture ratio is quantified based on the ratio of the distribution density of fractured joint locations in the tensile test specimen to the total number of joints on the hook and burr surface, and the fracture ratio of the hook and burr surface of the specimen under different tensile stages is generated. Based on the breakage ratio of the hooked surface of the specimen under different tensile stages and combined with the deformation rate under that tensile stage, the breakage change metric is calculated to generate the breakage change value of the hooked surface under different tensile stages.

7. The method for testing the tensile strength of hook and loop fastener fabric according to claim 1, characterized in that, Step S3 includes the following steps: Step S31: Plot the tensile force peak-deformation curve of the sample hook surface based on the peak index of tensile force and deformation rate at different tensile stages. Step S32: Calculate the corresponding slope change rate through the tensile force peak-deformation curve of the hooked surface, and identify the inflection point of the tensile force peak-deformation curve of the hooked surface based on the slope change rate, so as to generate the inflection point of the force-deformation curve of the hooked surface. Step S33: Based on the change value of the breakage of the hook and loop surface under different tensile stages, the inflection point of the force-deformation curve of the hook and loop surface is identified and determined for tensile failure. The failure type of the hook and loop surface corresponding to each inflection point of the force-deformation curve is determined by combining the change value of the breakage of the hook and loop surface, including hook tooth breakage, fiber breakage and hook separation, so as to generate the tensile failure node corresponding to the standard sample of hook and loop fastener. Step S34: Based on the tensile failure node and combined with the tensile force peak index, deformation rate and morphological reference data, perform preliminary tensile strength detection, take the tensile force peak index corresponding to the tensile failure node as the failure critical force value, take the corresponding deformation rate as the deformation threshold, calculate the cross-sectional area of ​​the sample by combining the width and thickness corresponding to the morphological reference data, and calculate the tensile strength value per unit area based on the failure critical force value and deformation threshold and combined with the cross-sectional area of ​​the sample to generate the initial value of the tensile strength of the hook and loop fastener fabric. Step S35: By introducing an environmental impact factor, and based on the environmental impact factor, perform sample tensile correction calculations on the initial value of the hook and loop fastener fabric tensile strength to obtain the corrected value of the hook and loop fastener fabric tensile strength.

8. The method for testing the tensile strength of hook and loop fastener fabric according to claim 7, characterized in that, Step S35 includes the following steps: Step S351: Obtain environmental pre-inspection samples from the same batch of standard hook and loop fastener samples, simultaneously collect the temperature and humidity corresponding to the dynamic tensile test, and calculate the corresponding temperature gradient and humidity gradient based on the temperature and humidity to generate environmental impact factors. Step S352: Based on the environmental impact factors, conduct dynamic tensile tests on the environmental pre-inspection samples in step S2 to collect the original tensile strength assessment values ​​corresponding to different environmental conditions. Step S353: Obtain the corresponding tensile strength decay rate by using the original tensile strength assessment value under different environmental conditions, and establish the environmental influence change curve between temperature, humidity and tensile strength decay rate based on temperature and humidity combined with the tensile strength decay rate under different environmental conditions. Step S354: Calculate the environmental correction coefficients corresponding to different environmental conditions based on the environmental influence variation curves between temperature, humidity and tensile strength decay rate, and perform sample tensile correction calculations on the initial tensile strength values ​​of the corresponding hook and loop fastener fabric based on the environmental correction coefficients corresponding to different environmental conditions, to obtain the tensile strength correction values ​​of the hook and loop fastener fabric.

9. The method for testing the tensile strength of hook and loop fastener fabric according to claim 1, characterized in that, Step S4 includes the following steps: Step S41: Based on the tensile strength correction value of the hook and loop fastener fabric, the fabric area corresponding to the standard hook and loop fastener sample is divided and decomposed to obtain the tensile strength correction sub-values ​​corresponding to the edge area, transition area and center area. Step S42: Determine the structural morphological differences corresponding to the edge area, transition area and center area through the multi-zone morphological dataset, and calculate the tensile strength deviation rate corresponding to different fabric areas based on the tensile strength correction sub-values ​​corresponding to the edge area, transition area and center area and the corresponding structural morphological differences. Step S43: Construct a three-dimensional morphological model of the hook and loop fastener fabric based on the multi-region morphological dataset, and generate the tensile strength distribution of the hook and loop fastener fabric based on the tensile strength deviation rate of different fabric regions and the three-dimensional morphological model of the hook and loop fastener fabric. Step S44: Based on the tensile strength distribution of the hook and loop fastener fabric and the corresponding tensile failure nodes, output the corresponding tensile strength test report of the hook and loop fastener fabric.

10. A tensile strength testing system for hook and loop fastener fabric, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, for performing the method for testing the tensile strength of hook and loop fastener fabric as described in any one of claims 1-9.

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