A method and device for detecting the wear performance of a textile clothing fabric

Abstract

The present invention discloses a method and device for detecting the wear performance of textile clothing fabrics, belonging to the technical field of fabric detection. The method includes the following steps: acquiring and storing an actual measurement data set; performing data comparison based on the actual measurement data set and a reference measurement data set to obtain a wear correction parameter; judging and correcting the reference measurement data set; comparing the measured wear data of the fabric to be tested with the reference measurement data set stored in the database to obtain a wear performance index. Through multi-layer standardized fabric wear tests and scientific calculations, the present invention improves the accuracy of data after wear detection of clothing fabrics, enhances the detection efficiency and result reliability of fabric wear performance, and solves the problem in the prior art that it is impossible to analyze the change of the wear performance of clothing fabrics under different data test conditions, resulting in inaccurate, low-efficiency fabric wear performance detection and lack of scientific evaluation criteria.

Description

Technical Field

[0001] The present invention relates to the technical field of fabric detection, and particularly to a method and device for detecting the wear performance of textile clothing fabrics. Background Art

[0002] In the current textile industry, the wear resistance of clothing fabrics is an important indicator affecting their service life and quality. To accurately evaluate the wear resistance of fabrics, systematic and standardized wear tests are required. However, existing wear test methods and equipment have certain limitations in terms of accuracy and consistency, resulting in possible deviations and inconsistencies in test results. Therefore, it is particularly important to establish a reliable fabric wear benchmark.

[0003] Currently, in order to optimize the wear test method and improve the measurement accuracy of the equipment, devices such as sample clamping mechanisms, lifting mechanisms, and weight mechanisms are used. The main purpose is to detect the impact wear performance of clothing fabrics after the movement gets out of control, evaluate the wear resistance of fabrics in actual applications, evaluate the impact wear performance of clothing fabrics, and improve the protective performance of protective clothing.

[0004] For example, a method for detecting the impact wear performance of clothing fabrics disclosed in a patent application with the publication number CN117405541A, which relates to the technical field of fabric detection. Its main steps are as follows: S1: Randomly select the product to be tested and cut samples from the product to be tested; S2: Install the cut samples on the detection equipment; S3: Start the test; S4: Remove the samples; S5: Collect the damage conditions on the surface of the samples; S6: Analyze the impact wear resistance of the samples. Through the above detection steps and the coordinated use of parts such as sample clamping mechanisms, lifting mechanisms, and weight mechanisms, the present invention simulates the situation after the movement gets out of control, realizes the detection of the impact wear performance of clothing fabrics after the movement gets out of control, can help people more accurately evaluate the wear resistance of fabrics in actual applications, can more accurately evaluate the impact wear performance of clothing fabrics, make the measured results more accurate, and particularly provides a reliable basis for the design and production of protective clothing, thereby helping to improve the protective performance of clothing.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it is found that the above technology has at least the following technical problems:

[0006] The existing methods for detecting the wear performance of clothing fabrics have inaccurate data processing and insufficient timeliness of data, which affect the accurate evaluation of the wear resistance of fabrics. Summary of the Invention

[0007] Embodiments of the present application provide a method and device for detecting the wear performance of textile clothing fabrics, which solve the problems in the prior art that the data processing of the method for detecting the wear performance of clothing fabrics is inaccurate and the timeliness of the data is insufficient, affecting the accurate evaluation of the wear resistance of the fabrics.

[0008] Embodiments of the present application provide a method for detecting the wear performance of textile clothing fabrics, including the following steps: obtaining an actual measurement data set and storing it in a database, where the actual measurement data set includes physical characteristic data after the wear test of the sample fabric and physical characteristic change amount data after the wear test of the sample fabric; comparing the actual measurement data set with the reference measurement data set stored in the database to obtain a wear correction parameter, where the reference measurement data set includes reference physical characteristic data after the wear test and reference physical characteristic change amount data after the wear test; judging the wear correction parameter to obtain a judgment result, and determining whether to correct the reference measurement data set stored in the database based on the judgment result, outputting a reference measurement data set and storing it in the database; obtaining the measured wear data of the fabric to be tested, comparing the measured wear data with the reference measurement data set stored in the database to obtain a wear performance index, and evaluating the wear performance of the clothing fabric based on the wear performance index.

[0009] Further, the specific steps of obtaining the actual measurement data set and storing it in the database: The step of obtaining the actual measurement data set and storing it in the database includes the following steps: obtaining the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test, where the physical characteristic data of the sample fabric before the wear test includes the weight value before the wear test, the thickness value before the wear test, and the surface roughness value before the wear test, and the physical characteristic data of the sample fabric after the wear test includes the weight value after the wear test, the thickness value after the wear test, and the surface roughness value after the wear test; based on the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test, obtaining the physical characteristic change amount data of the sample fabric after the wear test, where the physical characteristic change amount data of the sample fabric after the wear test includes the weight change amount, the thickness change amount, and the surface roughness change amount; taking the physical characteristic data of the sample fabric after the wear test and the physical characteristic change amount data of the sample fabric after the wear test as the actual measurement data set and storing it in the database.

[0010] Further, obtaining the physical characteristic change data of the sample fabric after the wear test based on the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test includes the following steps: calculating the absolute value difference between the weight value before the wear test and the weight value after the wear test to obtain the weight change; calculating the absolute value difference between the thickness value before the wear test and the thickness value after the wear test to obtain the thickness change; calculating the absolute value difference between the surface roughness value before the wear test and the surface roughness value after the wear test to obtain the surface roughness change.

[0011] Further, comparing the actual measurement data set with the reference measurement data set stored in the database to obtain the wear correction parameter includes the following steps: fusing the physical characteristic data of the sample fabric after the wear test with the reference physical characteristic data after the wear test to obtain the wear characteristic coefficient, where the reference physical characteristic data after the wear test includes the reference weight value after the wear test, the reference thickness value after the wear test, and the reference surface roughness value after the wear test; fusing the physical characteristic change data of the sample fabric after the wear test with the reference physical characteristic change data after the wear test to obtain the wear characteristic change coefficient, where the reference physical characteristic change data after the wear test includes the reference weight change, the reference thickness change, and the reference surface roughness change; performing weighted summation on the wear characteristic coefficient and the wear characteristic change coefficient to obtain the wear correction parameter.

[0012] Further, the calculation formula of the wear characteristic coefficient is as follows:

[0013] ;

[0014] In the formula, is the reference weight value after the wear test; is the reference thickness value after the wear test; is the reference surface roughness value after the wear test; is the weight value after the wear test; is the thickness value after the wear test; is the surface roughness value after the wear test; is the wear characteristic coefficient.

[0015] Further, the calculation formula of the wear correction parameter is as follows:

[0016] ;

[0017] In the formula, is the wear correction parameter; is the wear characteristic coefficient; is the wear characteristic change coefficient; is the weight factor of the wear characteristic coefficient stored in the database, It is the weighting factor of the wear characteristic change coefficient stored in the database.

[0018] Furthermore, the specific steps of judging the wear correction parameter to obtain a judgment result and determining whether to correct the reference measurement data set stored in the database based on the judgment result are as follows: Compare the wear correction parameter with the wear correction threshold stored in the database. The wear correction threshold stored in the database is the evaluation basis for judging whether the reference measurement data set needs to be corrected. When the wear correction parameter is greater than the wear correction threshold stored in the database, correct the reference measurement data set stored in the database, replace the reference measurement data set with the actual measurement data set, and output it as the calibrated measurement data set and store it in the database. When the wear correction parameter is less than or equal to the wear correction threshold stored in the database, do not correct the reference measurement data set, and output it as the calibrated measurement data set and store it in the database.

[0019] Furthermore, the measured wear data of the fabric to be tested includes the physical characteristic data of the fabric to be tested after the wear test and the physical characteristic change amount data of the fabric to be tested after the wear test. The physical characteristic data of the fabric to be tested after the wear test includes the weight value of the fabric to be tested after the wear test, the thickness value of the fabric to be tested after the wear test, and the surface roughness value of the fabric to be tested after the wear test. The physical characteristic change amount data of the fabric to be tested after the wear test includes the weight change amount of the fabric to be tested, the thickness change amount of the fabric to be tested, and the surface roughness change amount of the fabric to be tested. The calibrated measurement data set includes the physical characteristic calibrated data after the wear test and the physical characteristic change amount calibrated data after the wear test. The physical characteristic calibrated data after the wear test includes the calibrated weight value of the fabric to be tested after the wear test, the calibrated thickness value of the fabric to be tested after the wear test, and the surface calibrated roughness value of the fabric to be tested after the wear test. The physical characteristic change amount calibrated data after the wear test includes the calibrated weight change amount of the fabric to be tested, the calibrated thickness change amount of the fabric to be tested, and the calibrated surface roughness change amount of the fabric to be tested. The steps of obtaining the measured wear data of the fabric to be tested, comparing the measured wear data with the calibrated measurement data set stored in the database to obtain a wear performance index, and evaluating the wear performance of the clothing fabric based on the wear performance index are as follows: Perform a fusion analysis on the physical characteristic data of the fabric to be tested after the wear test, the physical characteristic change amount data of the fabric to be tested after the wear test, the physical characteristic calibrated data after the wear test, and the physical characteristic change amount calibrated data after the wear test to obtain a wear performance index. The wear performance index is used as the basis for evaluating the wear performance of the clothing fabric. Compare the wear performance index with the quality grade corresponding to the wear performance index stored in the database to obtain the quality grade corresponding to the current wear performance index.

[0020] Furthermore, the calculation formula of the wear performance index is as follows:

[0021] ;

[0022] In the formula, is the wear performance index, j is the change data index variable, j = 1, 2, 3. When j = 1, is the change in weight of the fabric to be tested, is the reference change in weight of the fabric to be tested; when j = 2, is the change in thickness of the fabric to be tested, is the reference change in thickness of the fabric to be tested; when j = 3, is the change in surface roughness of the fabric to be tested, is the reference change in surface roughness of the fabric to be tested; n is the characteristic data index variable, n = 1, 2, 3. When n = 1, is the weight value of the fabric to be tested after wear test, is the reference weight value of the fabric to be tested after wear test; when n = 2, is the thickness value of the fabric to be tested after wear test, is the reference thickness value of the fabric to be tested after wear test; when n = 3, is the surface roughness value of the fabric to be tested after wear test, is the reference surface roughness value of the fabric to be tested after wear test.

[0023] A device for detecting the wear performance of a clothing fabric, which is used for the method for detecting the wear performance of a textile clothing fabric described above, includes a data acquisition module, a data processing module, a data correction module, and a wear performance evaluation module. Among them: the data acquisition module is used to obtain the actual measurement data set and store it in the database. The actual measurement data set includes the physical characteristic data of the sample fabric after wear test and the physical characteristic change data of the sample fabric after wear test; the data processing module is used to compare the actual measurement data set with the reference measurement data set stored in the database to obtain wear correction parameters. The reference measurement data set includes the reference physical characteristic data after wear test and the reference physical characteristic change data after wear test; the data correction module is used to judge the wear correction parameters to obtain a judgment result, and determine whether to correct the reference measurement data set stored in the database based on the judgment result, and output the reference measurement data set and store it in the database; the wear performance evaluation module is used to obtain the measured wear data of the fabric to be tested, compare the measured wear data with the reference measurement data set stored in the database to obtain a wear performance index, and evaluate the wear performance of the clothing fabric based on the wear performance index.

[0024] The present invention has the following beneficial effects:

[0025] By processing the physical characteristic data of the sample fabric before the wear test and the wear characteristic data of the sample fabric after the wear test in the actual measurement dataset, the change amount data of the physical characteristics after the wear test is obtained and stored in the actual measurement dataset. Then, the actual measurement dataset is compared with the reference measurement dataset stored in the database to obtain the wear characteristic parameters. The change amount data of the physical characteristics after the wear test and the reference data of the change amount of the physical characteristics after the wear test are fused and processed to obtain the wear characteristic change coefficient. Finally, the wear correction parameter is obtained by weighted summation based on the wear characteristic coefficient and the wear characteristic change coefficient. The wear correction parameter is judged to obtain the judgment result, and based on the judgment result, it is determined whether to correct the reference measurement dataset stored in the database. By comparing the measured wear data with the reference measurement dataset stored in the database, the wear performance index is obtained, and the wear performance of the clothing fabric is evaluated based on the wear performance index, effectively solving the problems in the prior art that the data processing of the detection method for the wear performance of clothing fabrics is inaccurate and the timeliness of the data is insufficient, affecting the accurate evaluation of the wear resistance of the fabric.

[0026] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flowchart of the method for detecting the wear performance of textile clothing fabrics according to the present invention.

[0028] Figure 2 It is a line graph showing the change of the wear correction parameter with the wear characteristic change coefficient according to the present invention.

[0029] Figure 3 It is a connection diagram of the device for detecting the wear performance of clothing fabrics according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] Through the method for detecting the wear performance of textile clothing fabrics in the embodiments of the present application, the problems in the prior art that the data processing of the detection method for the wear performance of clothing fabrics is inaccurate and the timeliness of the data is insufficient, affecting the accurate evaluation of the wear resistance of the fabric are effectively solved.

[0031] To solve the problems in the embodiments of the present application, the general idea is as follows:

[0032] By processing the physical characteristic data of the sample fabric before the wear test and the wear characteristic data of the sample fabric after the wear test in the actual measurement dataset, the change amount data of the physical characteristics after the wear test is obtained and stored in the actual measurement dataset. Then, the physical characteristic data after the wear test is fused with the reference physical characteristic data after the wear test to obtain the wear characteristic coefficient; the change amount data of the physical characteristics after the wear test and the reference change amount data of the physical characteristics after the wear test are fused to obtain the wear characteristic change coefficient; finally, the wear correction parameter is obtained by weighted summation based on the wear correction parameter and the wear characteristic change coefficient; the wear correction parameter is judged to obtain a judgment result, and based on the judgment result, it is determined whether to correct the reference measurement dataset stored in the database, and the calibrated measurement dataset is output and stored in the database; by comparing the measured wear data with the calibrated measurement dataset stored in the database, the wear performance index is obtained, and the wear performance of the clothing fabric is evaluated based on the wear performance index. This effectively solves the problems in the prior art that it is impossible to analyze the change of the wear performance of clothing fabrics under different data test conditions, resulting in inaccurate detection, low efficiency, and lack of scientific evaluation criteria for fabric wear performance.

[0033] Please refer to Figure 1 , an embodiment of the present invention provides a technical solution: a method for detecting the wear performance of textile clothing fabrics, including the following steps: obtaining an actual measurement dataset and storing it in a database, the actual measurement dataset includes the physical characteristic data of the sample fabric after the wear test and the change amount data of the physical characteristics of the sample fabric after the wear test; based on the actual measurement dataset and the reference measurement dataset stored in the database, data comparison is performed to obtain a wear correction parameter, the reference measurement dataset includes the reference physical characteristic data after the wear test and the reference change amount data of the physical characteristics after the wear test; the wear correction parameter is judged to obtain a judgment result, and based on the judgment result, it is determined whether to correct the reference measurement dataset stored in the database, and the calibrated measurement dataset is output and stored in the database; obtaining the measured wear data of the fabric to be tested, comparing the measured wear data with the calibrated measurement dataset stored in the database to obtain the wear performance index, and evaluating the wear performance of the clothing fabric based on the wear performance index.

[0034] The sample fabric is a part of the fabric to be tested. The data in the database is verified through the data of the sample fabric to determine whether the initial reference data stored in the data volume can be directly used for the wear performance detection of all subsequent clothing fabrics. The actual measurement data is compared with the reference data, and the wear correction parameter is calculated to help evaluate the consistency and difference between the wear degree of the new sample and the historical data. According to the comparison result, it is judged whether it is necessary to update the reference measurement data set in the database, the measured wear data of the fabric to be tested is obtained, compared with the reference measurement data set, and the wear performance index is obtained to reflect the wear performance of the fabric and be used to evaluate and classify the durability of the fabric.

[0035] By continuously updating and calibrating the reference data set, the accuracy and reliability of the test results are ensured, and a set of standardized test procedures is established, so that the fabric wear test is not affected by the deviation of individual operators. The evaluation of fabric wear performance is not static. By dynamically adjusting the data in the database, the latest changes in material performance can be reflected and adapted to.

[0036] Specifically, the specific steps for obtaining and storing the actual measurement data set in the database: Obtaining and storing the actual measurement data set in the database includes the following steps: obtaining the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test. The physical characteristic data of the sample fabric before the wear test includes the weight value before the wear test, the thickness value before the wear test, and the surface roughness value before the wear test. The physical characteristic data of the sample fabric after the wear test includes the weight value after the wear test, the thickness value after the wear test, and the surface roughness value after the wear test; based on the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test, obtain the physical characteristic change data of the sample fabric after the wear test. The physical characteristic change data of the sample fabric after the wear test includes the weight change, the thickness change, and the surface roughness change; store the physical characteristic data of the sample fabric after the wear test and the physical characteristic change data of the sample fabric after the wear test in the database as the actual measurement data set.

[0037] Based on the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test, obtaining the physical characteristic change data of the sample fabric after the wear test includes the following steps: calculating the absolute value difference between the weight value before the wear test and the weight value after the wear test to obtain the weight change; calculating the absolute value difference between the thickness value before the wear test and the thickness value after the wear test to obtain the thickness change; calculating the absolute value difference between the surface roughness value before the wear test and the surface roughness value after the wear test to obtain the surface roughness change.

[0038] In this implementation plan, according to the physical characteristic data before and after testing, the change amounts are calculated, such as the weight change amount, the thickness change amount, and the surface roughness change amount. These change amount data provide key indicators for evaluating the wear degree of the fabric. The physical characteristic data after wear and the change amount data are stored in the database as the actual measurement data set for subsequent analysis and comparison.

[0039] The stored data can be used for future comparison and analysis, such as the performance comparison with other fabrics or the trend analysis of historical data. The change amount data provides a scientific basis for the quantitative evaluation of the fabric wear performance, which helps to accurately judge the durability of the fabric.

[0040] Among them, the weight value before wear test and the weight value after wear test are both obtained by an electronic scale, the thickness value before wear test and the thickness value after wear test are both obtained by a thickness gauge, and the surface roughness value before wear test and the surface roughness value after wear test are both obtained by a surface roughness instrument.

[0041] Weight is an intuitive indicator that can reflect the amount of material lost by the fabric due to wear. During the wear process, the fabric may shed tiny fibers or particles, resulting in a decrease in weight. Weight measurement is easy to operate and has high precision, and is applicable to various types of fabrics. Wear may cause a change in the fabric structure density, which is reflected in the change of thickness. The increased or decreased thickness can indicate the degree to which the fabric is compressed or thinned. The thickness of the fabric is directly related to its durability and protective performance, and is an important parameter for evaluating its practical value. Wear will affect the surface structure of the fabric, resulting in an increase in surface roughness. This parameter can quantify the change in surface quality and is an intuitive indicator for judging the wear degree. The surface texture of the fabric directly affects its aesthetics and touch, which is particularly important for clothing fabrics.

[0042] These parameters complement each other and jointly construct a comprehensive fabric wear evaluation framework. For example, a decrease in weight may mean the loss of material, while a decrease in thickness may indicate a reduction in structural density. The changes between parameters can jointly reflect the behavior of the fabric when subjected to friction or pressure. For example, if the thickness decreases while the surface roughness increases significantly, it may indicate that the fabric surface has suffered serious physical damage. By combining the change amounts of these parameters, the wear degree and durability of the fabric can be evaluated more comprehensively. Different types of fabrics (such as fabrics, non-woven fabrics, synthetic materials, etc.) may perform differently in these parameters, and through comprehensive analysis, their applicable ranges and durabilities can be more accurately located.

[0043] Specifically, based on the comparison between the actual measurement dataset and the reference measurement dataset stored in the database, wear correction parameters are obtained, including the following steps: Fuse the physical characteristic data after the wear test of the sample fabric with the reference physical characteristic data after the wear test to obtain a wear characteristic coefficient. The reference physical characteristic data after the wear test includes the reference weight value after the wear test, the reference thickness value after the wear test, and the reference surface roughness value after the wear test; Fuse the physical characteristic change data after the wear test of the sample fabric with the reference physical characteristic change data after the wear test to obtain a wear characteristic change coefficient. The reference physical characteristic change data after the wear test includes the reference weight change, the reference thickness change, and the reference surface roughness change; Perform a weighted sum of the wear characteristic coefficient and the wear characteristic change coefficient to obtain the wear correction parameter.

[0044] By fusing the measured physical characteristic data (such as weight, thickness, surface roughness) with the corresponding reference data, the wear characteristic coefficient is calculated, which reflects the relative difference between the measured data and the standard reference data. Fuse the measured physical characteristic change (i.e., the difference value before and after wear) with the reference change data to calculate the change coefficient, which reveals the relationship between the actual wear and the expected wear (based on the reference data). Combining the wear characteristic coefficient and the wear characteristic change coefficient, the wear correction parameter is obtained through weighted summation. This correction parameter is a comprehensive evaluation of the fabric's wear performance, considering the current state of the fabric and the changes in its wear process.

[0045] By comparing and fusing with the reference dataset, the wear degree of the fabric can be evaluated more accurately, reducing the influence of single measurement deviation. The reference dataset provides a standard baseline for the test, enhancing the comparability of test results among different times, locations, or testers. By continuously updating the reference dataset, the wear test standard can be dynamically adjusted according to new research findings or material improvements, maintaining the forefront and adaptability of the test method.

[0046] The reference physical characteristic data after the wear test is obtained by averaging the data accumulated in past tests of the same or similar fabrics.

[0047] The calculation formula for the wear characteristic coefficient is as follows:

[0048] ;

[0049] In the formula, is the reference weight value after the wear test; is the reference thickness value after the wear test; is the reference surface roughness value after the wear test; is the weight value after the wear test; is the thickness value after the wear test; is the surface roughness value after wear test; is the wear characteristic coefficient.

[0050] The formula calculates the relative error, which means that regardless of the size and weight of the sample, the error is relative to itself, thus ensuring the general applicability and comparability of the results. By averaging the relative errors of three different physical characteristics, this coefficient can comprehensively reflect the impact of wear on the overall physical properties and reduce the influence of the deviation of a single index on the results.

[0051] The calculation formula of the wear characteristic change coefficient is as follows:

[0052] ;

[0053] In the formula, is the reference change in weight, is the reference change in thickness, is the reference change in surface roughness, is the change in weight, is the change in thickness, is the change in surface roughness, is the wear characteristic change coefficient.

[0054] Using the natural logarithm ln can help smooth extreme values, make the distribution of the results more uniform, and reduce the influence of extreme data on the overall evaluation. By accumulating the differences in each dimension, this coefficient can more comprehensively reflect the change in physical properties before and after fabric wear, rather than being limited to a single dimension.

[0055] The calculation formula of the wear correction parameter is as follows:

[0056] ;

[0057] In the formula, is the wear correction parameter; is the wear characteristic coefficient; is the wear characteristic change coefficient; is the weight factor of the wear characteristic coefficient stored in the database, is the weight factor of the wear characteristic change coefficient stored in the database.

[0058] Table 1 Table of wear correction parameters varying with the wear characteristic coefficient

[0059]

[0060] As can be seen from the data in Table 1, when C increases, that is, when the wear characteristics of the fabric deviate more from the reference data, the wear correction parameter P also increases accordingly, showing an increasing trend.

[0061] Table 2 Table of Wear Correction Parameters Changing with the Variation Coefficient of Wear Characteristics

[0062]

[0063] As can be seen from the data in Table 2, when increases, that is, when the difference in the wear change characteristics of the fabric compared with the reference change data increases, the wear correction parameter P also increases accordingly, showing an increasing trend.

[0064] As Figure 2 shown, it shows how the wear correction parameter P changes when the variation coefficient of wear characteristics ranges from 0 to 1. It can be clearly seen from the figure that as increases, the value of P also increases linearly. This indicates that when the wear change characteristics of the fabric increase, its overall wear assessment result also increases accordingly, reflecting a higher wear risk or loss.

[0065] In this implementation plan, the design of the formula aims to synthesize the wear characteristic coefficient and the variation coefficient of wear characteristics, and comprehensively integrate the information of these two coefficients through a weighted method. Through reasonable weight allocation, this formula can give priority to the influence of one aspect according to specific application requirements or test conditions, so as to more accurately evaluate and adjust the wear correction parameter.

[0066] For and stored in the database, which are obtained by using multiple linear regression analysis. First, collect historical test data including the wear characteristic coefficient, the variation coefficient of wear characteristics, and the wear result (such as the degree of wear). Use a multiple linear regression model for modeling. The response variable of the model is the wear result, and the predictor variables are the wear characteristic coefficient and the variation coefficient of wear characteristics. Calculate the coefficients of the wear characteristic coefficient and the variation coefficient of wear characteristics, and use the coefficients as weight factors.

[0067] Specifically, judge the wear correction parameter to obtain a judgment result, and based on the judgment result, determine the specific steps for whether to correct the reference measurement data set stored in the database: Compare the wear correction parameter with the wear correction threshold stored in the database. The wear correction threshold stored in the database is the evaluation basis for judging whether the reference measurement data set needs to be corrected; when the wear correction parameter is greater than the wear correction threshold stored in the database, correct the reference measurement data set stored in the database, replace the reference measurement data set with the actual measurement data set, and output it as the calibrated measurement data set and store it in the database; when the wear correction parameter is less than or equal to the wear correction threshold stored in the database, do not correct the reference measurement data set, and output it as the calibrated measurement data set and store it in the database.

[0068] In this implementation, by comparing the actual wear correction parameter P with the set wear correction threshold, it can be determined whether it is necessary to update the stored data, ensuring the timeliness and accuracy of the reference data, thereby improving the overall quality and reliability of the fabric wear test.

[0069] For the wear correction threshold stored in the database, it is first necessary to collect and clean the historical test data to ensure the integrity and accuracy of the data. Then, descriptive statistical analysis is performed on these data to calculate the mean, median, standard deviation, and percentiles of the wear correction parameter P. By analyzing the distribution of P, especially the high percentiles (such as the 90th or 95th percentile), a threshold can be determined such that results exceeding this threshold are marked as abnormal and the reference data set in the database needs to be updated.

[0070] Specifically, the measured wear data of the fabric to be tested includes the physical characteristic data after the wear test of the fabric to be tested and the physical characteristic change amount data after the wear test of the fabric to be tested. The physical characteristic data after the wear test of the fabric to be tested includes the weight value after the wear test of the fabric to be tested, the thickness value after the wear test of the fabric to be tested, the surface roughness value after the wear test of the fabric to be tested. The physical characteristic change amount data after the wear test of the fabric to be tested includes the weight change amount of the fabric to be tested, the thickness change amount of the fabric to be tested, and the surface roughness change amount of the fabric to be tested. The reference measurement data set includes the physical characteristic reference data after the wear test and the physical characteristic change amount reference data after the wear test. The physical characteristic reference data after the wear test includes the reference weight value after the wear test of the fabric to be tested, the reference thickness value after the wear test of the fabric to be tested, and the surface reference roughness value after the wear test of the fabric to be tested. The physical characteristic change amount reference data after the wear test includes the reference weight change amount of the fabric to be tested, the reference thickness change amount of the fabric to be tested, and the reference surface roughness change amount of the fabric to be tested. Obtain the measured wear data of the fabric to be tested, compare the measured wear data with the reference measurement data set stored in the database, obtain the wear performance index, and evaluate the wear performance of the clothing fabric based on the wear performance index, including the following steps: fuse and analyze the physical characteristic data after the wear test of the fabric to be tested, the physical characteristic change amount data after the wear test of the fabric to be tested, the physical characteristic reference data after the wear test, and the physical characteristic change amount reference data after the wear test to obtain the wear performance index, and use the wear performance index as the basis for evaluating the wear performance of the clothing fabric; compare the wear performance index with the quality grade corresponding to the wear performance index stored in the database to obtain the quality grade corresponding to the current wear performance index.

[0071] Collect the physical characteristic data and the data of the change in physical characteristics after the wear test of the fabric to be tested. These data reflect the actual wear performance of the fabric under experimental conditions. Compare the measured data with the reference measurement data set in the database. This comparative analysis involves not only the absolute physical properties of the fabric, such as weight, thickness, and surface roughness, but also the changes in these properties, thus providing a comprehensive wear assessment. The wear performance index obtained through the fusion analysis is a comprehensive indicator that synthesizes the comparison results of the measured data of the fabric to be tested and the reference data, reflecting the overall wear condition of the fabric. Compare the obtained wear performance index with the standard quality grade in the database to determine the quality grade of the current fabric.

[0072] The calculation formula of the wear performance index is as follows:

[0073] ;

[0074] In the formula, is the wear performance index, j is the index variable of the change data, j = 1, 2, 3. When j = 1, is the change in the weight of the fabric to be tested, is the reference change in the weight of the fabric to be tested; when j = 2, is the change in the thickness of the fabric to be tested, is the reference change in the thickness of the fabric to be tested; when j = 3, is the change in the surface roughness of the fabric to be tested, is the reference change in the surface roughness of the fabric to be tested; n is the index variable of the characteristic data, n = 1, 2, 3. When n = 1, is the weight value of the fabric to be tested after the wear test, is the reference weight value of the fabric to be tested after the wear test; when n = 2, is the thickness value of the fabric to be tested after the wear test, is the reference thickness value of the fabric to be tested after the wear test; when n = 3, is the surface roughness value of the fabric to be tested after the wear test, is the reference surface roughness value of the fabric to be tested after the wear test.

[0075] In this implementation, for the change amount of each physical characteristic (such as weight change, thickness change, surface roughness change), the square of the relative deviation between the measured change amount and the reference change amount is calculated, which reflects the difference between the actual wear and the expected wear. For each absolute physical characteristic (such as weight, thickness, surface roughness), the square of the relative deviation between the measured value and the reference value is calculated, which represents the deviation between the actual state and the expected state of the fabric. The sum of the squares of these two sets of deviations is added and then the square root is taken to obtain the final Wear Performance Index (MPI). This calculation method enables the MPI to quantitatively reflect the overall degree and characteristics of fabric wear.

[0076] A device for detecting the wear performance of a clothing fabric, which is used for the method for detecting the wear performance of a textile clothing fabric described above, includes a data acquisition module, a data processing module, a data correction module, and a wear performance evaluation module, where: The data acquisition module is used to obtain the actual measurement data set and store it in the database. The actual measurement data set includes the physical characteristic data of the sample fabric after the wear test and the physical characteristic change amount data of the sample fabric after the wear test; The data processing module is used to compare the actual measurement data set with the reference measurement data set stored in the database to obtain the wear correction parameter. The reference measurement data set includes the physical characteristic reference data after the wear test and the physical characteristic change amount reference data after the wear test; The data correction module is used to judge the wear correction parameter, obtain the judgment result, determine whether to correct the reference measurement data set stored in the database based on the judgment result, and output the reference measurement data set and store it in the database; The wear performance evaluation module is used to obtain the measured wear data of the fabric to be tested, compare the measured wear data with the reference measurement data set stored in the database to obtain the wear performance index, and evaluate the wear performance of the clothing fabric based on the wear performance index.

[0077] An electronic device includes: a processor and a memory. Computer program instructions are stored in the memory, and when the computer program instructions are run by the processor, the processor executes the method for detecting the wear performance of a textile clothing fabric as described above.

[0078] A computer-readable storage medium is used to store a program, and when the program is executed by a processor, the method for detecting the wear performance of a textile clothing fabric as described above is implemented.

[0079] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0080] The present invention is described with reference to the flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0081] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0082] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0083] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0084] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

Claims

1. A method for detecting the wear performance of textile clothing fabrics, characterized in that: The following steps are involved: Acquire an actual measurement data set and store it in a database, wherein the actual measurement data set includes physical characteristic data of the sample fabric after the wear test and physical characteristic change data of the sample fabric after the wear test; Comparing the actual measurement data set with the reference measurement data set stored in the database to obtain the wear correction parameter, wherein the reference measurement data set includes reference data of physical characteristics after the wear test and reference data of the amount of change of the physical characteristics after the wear test; Determine the wear correction parameter to obtain a determination result, determine whether to correct the reference measurement data set stored in the database based on the determination result, output the reference measurement data set and store it in the database; Obtaining measured wear data of the fabric to be tested, comparing the measured wear data with the parameter measurement data set stored in the database, obtaining a wear performance index, and evaluating the wear performance of the clothing fabric based on the wear performance index; The measured wear data of the fabric to be tested includes physical characteristic data of the fabric to be tested after the wear test and physical characteristic variation data of the fabric to be tested after the wear test. The physical characteristic data of the fabric to be tested after the wear test includes the weight value of the fabric to be tested after the wear test, the thickness value of the fabric to be tested after the wear test, and the surface roughness value of the fabric to be tested after the wear test. The physical characteristic variation data of the fabric to be tested after the wear test includes the weight variation of the fabric to be tested, the thickness variation of the fabric to be tested, and the surface roughness variation of the fabric to be tested; The parameterized measurement data set includes parameterized data of physical characteristics after wear test and parameterized data of physical characteristic variation after wear test, wherein the parameterized data of physical characteristics after wear test includes the parameterized weight value of the fabric to be tested after wear test, the parameterized thickness value of the fabric to be tested after wear test, and the parameterized roughness value of the surface of the fabric to be tested after wear test, and the parameterized data of physical characteristic variation after wear test includes the parameterized variation of the weight of the fabric to be tested, the parameterized variation of the thickness of the fabric to be tested, and the parameterized variation of the surface roughness of the fabric to be tested; The method of obtaining measured wear data of the fabric to be tested, comparing the measured wear data with a reference measurement data set stored in a database, obtaining a wear performance index, and evaluating the wear performance of the garment fabric based on the wear performance index comprises the following steps: The physical characteristic data of the tested fabric after the wear test, the physical characteristic variation data of the tested fabric after the wear test, the physical characteristic parameter data after the wear test, and the physical characteristic variation parameter data after the wear test are integrated and analyzed to obtain a wear performance index, which is used as a basis for evaluating the wear performance of the clothing fabric; Compare the wear performance index with the quality level corresponding to the wear performance index stored in the database to obtain the quality level corresponding to the current wear performance index; The calculation formula of the wear performance index is as follows: ； In the formula, is the wear performance index, j is the variable index of the change data, j=1, 2, 3, when j=1, is the weight change of the fabric to be tested, is the weight parameter change of the fabric to be tested; when j=2, is the thickness variation of the fabric to be tested, is the parameter variation of the thickness of the fabric to be tested; when j=3, is the surface roughness variation of the fabric to be tested, is the parameter variation of the surface roughness of the fabric to be tested; n is the characteristic data index variable, n=1, 2, 3, when n=1, is the weight value of the fabric to be tested after wear test, is the weight value of the fabric to be tested after wear test; when n=2, is the thickness value of the fabric to be tested after wear test, is the thickness value of the fabric to be tested after wear test; when n=3, is the surface roughness value of the fabric to be tested after wear test, Determine the roughness value of the surface of the fabric to be tested after wear test.

2. The method for detecting the wear performance of textile clothing fabrics according to claim 1, characterized in that: The step of obtaining the actual measurement data set and storing it in the database comprises the following steps: Obtaining physical characteristic data of the sample fabric before the wear test and the sample fabric after the wear test, wherein the physical characteristic data of the sample fabric before the wear test includes a weight value before the wear test, a thickness value before the wear test, and a surface roughness value before the wear test, and the physical characteristic data of the sample fabric after the wear test includes a weight value after the wear test, a thickness value after the wear test, and a surface roughness value after the wear test; Based on the physical characteristic data of the sample fabric before the wear test and the physical characteristic data of the sample fabric after the wear test, obtaining the physical characteristic change data of the sample fabric after the wear test, wherein the physical characteristic change data of the sample fabric after the wear test includes the weight change, the thickness change, and the surface roughness change; The physical characteristic data of the sample fabric after the wear test and the physical characteristic change data of the sample fabric after the wear test are stored in the database as actual measurement data sets.

3. The method for detecting the wear performance of textile clothing fabrics according to claim 2, characterized in that: The method of obtaining the data of the change in the physical characteristics of the sample fabric after the wear test based on the physical characteristics data of the sample fabric before the wear test and the physical characteristics data of the sample fabric after the wear test comprises the following steps: The absolute value difference between the weight value before the wear test and the weight value after the wear test is calculated to obtain the weight change; The absolute value difference between the thickness value before the wear test and the thickness value after the wear test is calculated to obtain the thickness change; The absolute value difference between the surface roughness value before the wear test and the surface roughness value after the wear test is calculated to obtain the change in the surface roughness value.

4. The method for detecting the wear performance of textile clothing fabrics according to claim 3, characterized in that: The step of comparing the actual measurement data set with the reference measurement data set stored in the database to obtain the wear correction parameter comprises the following steps: The physical characteristic data of the sample fabric after the wear test is merged with the physical characteristic reference data after the wear test to obtain the wear characteristic coefficient, wherein the physical characteristic reference data after the wear test includes a reference weight value after the wear test, a reference thickness value after the wear test, and a reference surface roughness value after the wear test; The physical characteristic change data of the sample fabric after the wear test is merged with the reference data of the physical characteristic change after the wear test to obtain the wear characteristic change coefficient, wherein the reference data of the physical characteristic change after the wear test includes the reference change of weight, the reference change of thickness, and the reference change of surface roughness; The wear correction parameter is obtained by weighted summing the wear characteristic coefficient and the wear characteristic variation coefficient.

5. The method for detecting the wear performance of textile clothing fabrics according to claim 4, characterized in that: The calculation formula of the wear characteristic coefficient is as follows: ； In the formula, It is the reference weight value after wear test; It is the reference thickness value after wear test; It is the reference surface roughness value after wear test; is the weight value after wear test; is the thickness value after wear test; is the surface roughness value after wear test; is the wear characteristic coefficient.

6. The method for detecting the wear performance of textile clothing fabrics according to claim 5, characterized in that: The calculation formula of the wear correction parameter is as follows: ； In the formula, is the wear correction parameter; is the wear characteristic coefficient; is the coefficient of variation of wear characteristics; is the weight factor of the wear characteristic coefficient stored in the database, is the weight factor of the wear characteristic variation coefficient stored in the database.

7. The method for detecting the wear performance of textile clothing fabrics according to claim 1, characterized in that: The specific steps of judging the wear correction parameter, obtaining the judgment result, and determining whether to correct the reference measurement data set stored in the database based on the judgment result are: Comparing the wear correction parameter with a wear correction threshold stored in a database, wherein the wear correction threshold stored in the database is an evaluation basis for determining whether the reference measurement data set needs to be corrected; When the wear correction parameter is greater than the wear correction threshold stored in the database, the reference measurement data set stored in the database is corrected, the reference measurement data set is replaced with the actual measurement data set, and the reference measurement data set is output as the reference measurement data set and stored in the database; When the wear correction parameter is less than or equal to the wear correction threshold stored in the database, the reference measurement data set is not corrected, and is output as a reference measurement data set and stored in the database.

8. A device for detecting wear performance of clothing fabrics, used in the method for detecting wear performance of textile clothing fabrics according to any one of claims 1 to 7, characterized in that: It includes data acquisition module, data processing module, data correction module and wear performance evaluation module, among which: The data acquisition module is used to obtain an actual measurement data set and store it in a database, wherein the actual measurement data set includes physical characteristic data of the sample fabric after the wear test and data on the change in physical characteristics of the sample fabric after the wear test; The data processing module is used to compare the actual measurement data set with the reference measurement data set stored in the database to obtain the wear correction parameter, wherein the reference measurement data set includes the reference data of the physical characteristics after the wear test and the reference data of the change amount of the physical characteristics after the wear test; The data correction module is used to judge the wear correction parameter, obtain the judgment result, determine whether to correct the reference measurement data set stored in the database based on the judgment result, output the reference measurement data set and store it in the database; The wear performance evaluation module is used to obtain the measured wear data of the fabric to be tested, compare the measured wear data with the parameter measurement data set stored in the database, obtain the wear performance index, and evaluate the wear performance of the clothing fabric based on the wear performance index.

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