Comprehensive detection method and system for air permeability of garment fabric

Abstract

The invention provides a comprehensive detection method and system for the air permeability of a garment fabric. The method comprises the following steps: acquiring a morphological structure layout of a garment; dividing the garment into different morphological structure areas based on different morphological structures; performing air permeability detection on the different morphological structure areas based on a fabric air permeability detection method to obtain air permeability values of the corresponding morphological structure areas; and comprehensively evaluating the garment fabric based on the air permeability value of each morphological structure region, and outputting whether the air permeability reaches the standard or not. According to the invention, comprehensive and accurate detection of the air permeability of the garment fabric can be realized, comprehensive detection of the air permeability of the garment matched with various fabrics can be realized, and the detection precision and the detection efficiency are high.

Description

Technical Field

[0001] This invention relates to the field of fabric breathability testing technology, and in particular to a comprehensive testing method and system for clothing fabric breathability. Background Technology

[0002] Breathability of clothing fabrics is crucial in the textile industry because it's a key criterion for manufacturers and consumers to evaluate product quality and suitability. Breathability is a critical indicator of fabric comfort and performance, impacting wearing comfort and human health. Assessing clothing breathability is essential for ensuring wearer comfort, health, and athletic performance. Well-breathable clothing not only enhances wearer comfort but also reduces the risk of skin conditions and allergies, making breathability testing a vital necessity.

[0003] Most existing methods for testing the breathability of clothing involve sampling and testing the breathability of fabrics from different production batches before garment processing. While this provides a rough indication of whether the fabric's breathability meets requirements, it also leads to the assumption that using breathable fabric guarantees a breathable garment. However, current methods lack comprehensive testing of the overall breathability of the garment fabric after processing, resulting in incomplete testing and low accuracy. Summary of the Invention

[0004] To address at least one of the aforementioned technical problems, this invention proposes a comprehensive testing method and system for the breathability of clothing fabrics. This system enables comprehensive and accurate testing of the breathability of clothing fabrics, and can perform comprehensive testing on clothing with multiple fabric combinations. It boasts high testing accuracy and efficiency.

[0005] The first aspect of this invention provides a comprehensive testing method for the breathability of clothing fabrics, the method comprising: Obtain the shape, structure, and layout of the clothing; Clothing is divided into different morphological and structural regions based on its different morphological and structural features; Based on the fabric breathability testing method, the breathability of different morphological and structural regions is tested to obtain the breathability value of the corresponding morphological and structural regions. Based on the breathability values ​​of various structural regions, the garment fabric is comprehensively evaluated, and the breathability is output to determine whether it meets the standards.

[0006] Furthermore, based on fabric breathability testing methods, breathability is tested on different morphological and structural regions to obtain the corresponding breathability values ​​for those regions. Specifically, this includes: Each morphological structure region is pre-defined to include multiple detection zones; For each morphological structural region, multiple detection zones are clustered and grouped based on the same fabric to obtain multiple groups of detection zones; Based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm; Based on the representative test areas of each group, the air permeability value is tested using an air permeability tester to obtain the air permeability score of each group's test areas; Based on the air permeability scores of each group of detection zones in each morphological structure region, the air permeability value of each morphological structure region is obtained through the first algorithm.

[0007] Furthermore, based on the air permeability scores of each detection zone in each morphological structural region, and through the first algorithm, the air permeability value of each morphological structural region is obtained, specifically including: Based on each morphological structure region, the area of ​​each detection partition is calculated separately; Based on each morphological structure region, the area of ​​each test zone is multiplied by the air permeability score of each test zone to obtain the air permeability of each test zone. Based on each morphological structure region, the air permeability of each group of test zones is added together to calculate the total air permeability of each morphological structure region. Based on each morphological structure region, the areas of each group of detection partitions are added together to obtain the total area of ​​each morphological structure region; The air permeability value of each structural region is obtained by dividing the total air permeability of each structural region by the total area of ​​the corresponding structural region.

[0008] Furthermore, based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm, specifically including: Based on each group of test zones, each test zone is compared with other test zones one by one to determine which one is suitable for the sampling area of ​​the air permeability tester. If the former is compatible, the compatibility of the tester for the former's detection zone will be recorded once; otherwise, it will not be recorded. Based on each group of detection partitions, each detection partition is compared with the detection demand of other detection partitions one by one, and it is determined which detection partition has a higher detection demand. If the former is higher than the latter, the detection demand of the former detection partition is recorded once; otherwise, it is not recorded. After all the test partitions in each group of test partitions have completed the pairwise comparison of tester compatibility and test requirement, the total number of tester compatibility records and the total number of test requirement records for each test partition are counted. The pre-set tester compatibility and testing requirements have different weights in influencing the selection of representative testing zones; Based on each testing zone, the total number of times the tester adaptability records for each testing zone are multiplied by the corresponding influence weight to obtain the first weight value; the total number of times the testing demand records for each testing zone are multiplied by the corresponding influence weight to obtain the second weight value; the first weight value and the second weight value are added together to obtain the evaluation value for each testing zone; For each group of detection partitions, the detection partition with the highest evaluation value is selected as the representative detection partition of that group.

[0009] Furthermore, after obtaining multiple sets of detection partitions, the method further includes: Determine whether each group of test zones has a test zone that is compatible with the sampling area of ​​the air permeability tester; If it does not exist, then the detection partition is identified as a special group detection partition; The testing zones that can cover the sampling area of ​​the air permeability tester to the maximum extent are selected from the testing zones of this special group and are used as special representative testing zones of this special group.

[0010] Furthermore, after selecting the testing zone from the special group of testing zones that can maximize the coverage of the sampling area of ​​the air permeability tester, and using it as a special representative testing zone of the special group of testing zones, the method further includes: The special representative test zone of the special group test zone is covered with the maximum area of ​​the sampling area of ​​the air permeability tester, and the remaining area of ​​the sampling area is covered by other test zones. By combining sampling tests on a special representative test zone and other test zones using an air permeability tester, a combined air permeability value is obtained. Obtain the sampling area of ​​a particularly representative detection zone, the sampling area of ​​other detection zones, and the air permeability score of other detection zones in the current combined sampling. Based on the combined air permeability value of the current combined sampling, the sampling area of ​​the representative test zone in the current combined sampling, the sampling area of ​​other test zones, and the air permeability scores of other test zones, the air permeability score of the representative test zone is predicted by the air permeability prediction model.

[0011] Furthermore, after predicting the air permeability score specifically representing the test zone using the air permeability prediction model, the method further includes: Acquire multiple historical combination test data. Each historical combination test data should include at least the breathability combination value of the historical combination sampling, the sampling zone attribute of the historical combination sampling, and the measured breathability score of different sampling zones in the historical combination sampling. Feature calculation is performed based on the sampling partition attributes of each historical combination test data to obtain the feature values ​​of the historical combination samples. Obtain the sampling partition attributes of the current combined sampling, perform feature calculation, and obtain the feature values ​​of the current combined sampling; The similarity value between the feature value of each historical combination sample and the feature value of the current combination sample is calculated. Historical combination test data with similarity values ​​greater than the second threshold are used as candidate historical combination test data. Based on the test data of each candidate historical combination, the largest sampling partition in the historical combination sampling is used as the simulated special sampling partition; Based on the test data of each candidate historical combination, the air permeability combination value of the historical combination sampling, the sampling area of ​​the simulated special sampling zone in the historical combination sampling, the sampling area of ​​other sampling zones, and the measured air permeability scores of other sampling zones are input into the air permeability prediction model, and the predicted air permeability score of the simulated special sampling zone is output. Based on the test data of each candidate historical combination, the difference between the measured air permeability score and the predicted air permeability score of the simulated special sampling partition is calculated to obtain the air permeability prediction difference. The breathability prediction difference obtained based on the test data of each candidate historical combination is summed to obtain the sum of the breathability prediction difference. The sum of the breathability prediction difference is then divided by the total number of candidate historical combination test data to obtain the breathability prediction correction value. The predicted breathability score for the specific representative test zone is added to the predicted breathability correction value to obtain the corrected breathability score for the specific representative test zone.

[0012] Furthermore, based on the breathability values ​​of various structural regions, a comprehensive evaluation of the clothing fabric is conducted to determine whether the breathability meets the standards. This includes: The optimal breathability value is preset for each structural area; The degree of difference between the air permeability value of each morphological structural region and the corresponding optimal air permeability value is calculated. The influence weight of each structural region on the breathability of clothing is preset to be different, and the influence weight of each structural region on the breathability of clothing is normalized. Multiply the difference of each morphological structure region by the corresponding normalized influence weight to obtain the weight difference of each morphological structure region. The breathability test value of the garment is obtained by summing the weight differences of each structural region. The breathability test value of the garment is determined to be greater than the third threshold. If it is greater, the garment is deemed to be unqualified for breathability. If it is less than or equal to the threshold, the garment is deemed to be qualified for breathability.

[0013] This invention also proposes a comprehensive testing system for the breathability of clothing fabrics, including a memory and a processor. The memory includes a program for a comprehensive testing method for the breathability of clothing fabrics. When the processor executes the program for the comprehensive testing method for the breathability of clothing fabrics, it performs the following steps: Obtain the shape, structure, and layout of the clothing; Clothing is divided into different morphological and structural regions based on its different morphological and structural features; Based on the fabric breathability testing method, the breathability of different morphological and structural regions is tested to obtain the breathability value of the corresponding morphological and structural regions. Based on the breathability values ​​of various structural regions, the garment fabric is comprehensively evaluated, and the breathability is output to determine whether it meets the standards.

[0014] Furthermore, based on fabric breathability testing methods, breathability is tested on different morphological and structural regions to obtain the corresponding breathability values ​​for those regions. Specifically, this includes: Each morphological structure region is pre-defined to include multiple detection zones; For each morphological structural region, multiple detection zones are clustered and grouped based on the same fabric to obtain multiple groups of detection zones; Based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm; Based on the representative test areas of each group, the air permeability value is tested using an air permeability tester to obtain the air permeability score of each group's test areas; Based on the air permeability scores of each group of detection zones in each morphological structure region, the air permeability value of each morphological structure region is obtained through the first algorithm.

[0015] The present invention proposes a comprehensive testing method and system for the breathability of clothing fabrics, which can achieve comprehensive and accurate testing of the breathability of clothing fabrics. It can also perform comprehensive testing of the breathability of clothing with multiple fabric combinations, with high testing accuracy and high testing efficiency.

[0016] Additional aspects and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description or may be learned by practice of the invention. Attached Figure Description

[0017] Figure 1 A flowchart of a comprehensive testing method for the breathability of clothing fabrics according to the present invention is shown; Figure 2 A flowchart is shown showing the fabric breathability testing method for various structural regions of the present invention. Figure 3 A block diagram of a comprehensive testing system for the breathability of clothing fabrics according to the present invention is shown. Detailed Implementation

[0018] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0019] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0020] Figure 1 A flowchart of a comprehensive testing method for the breathability of clothing fabrics according to the present invention is shown.

[0021] like Figure 1 As shown, this invention proposes a comprehensive testing method for the breathability of clothing fabrics, the method comprising: S102, Obtain the shape, structure, and layout of the clothing; S104, divides clothing into different morphological and structural regions based on different morphological and structural features; S106, Based on the fabric breathability testing method, the breathability of different morphological and structural areas is tested to obtain the breathability value of the corresponding morphological and structural areas. S108 comprehensively evaluates clothing fabrics based on the breathability values ​​of various structural regions and outputs whether the breathability meets the standards.

[0022] It is understandable that the morphological structure area can be divided based on the part of the body that the clothing corresponds to, such as the back area, front area, side areas, shoulder area, neck and collar area, arm area, etc., but not limited to these.

[0023] This invention first obtains the morphological and structural layout of the garment; then, it divides the garment into different morphological and structural regions based on these different structures; next, it uses a fabric breathability testing method to test the breathability of each morphological and structural region, obtaining the corresponding breathability value; finally, based on the breathability values ​​of each morphological and structural region, it comprehensively evaluates the garment fabric and outputs whether the breathability meets the standards. This invention can achieve comprehensive and accurate testing of the breathability of garment fabrics, and can perform comprehensive breathability testing on garments with multiple fabric combinations, offering high testing accuracy and efficiency.

[0024] According to embodiments of the present invention, such as Figure 2 As shown, the breathability of different morphological and structural regions is tested based on the fabric breathability testing method to obtain the breathability value of the corresponding morphological and structural regions. Specifically, this includes: S202, each morphological structure region is pre-defined to include multiple detection zones; for the multiple detection zones of each morphological structure region, clustering is performed based on the same fabric to obtain multiple groups of detection zones; S204, Based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm; S206, based on the representative test areas of each group, the air permeability value is tested by an air permeability tester to obtain the air permeability score of each group's test areas; S208, based on the air permeability scores of each group of detection zones in each morphological structure region, and obtains the air permeability value of each morphological structure region through the first algorithm.

[0025] It is understandable that each structural area can be composed of multiple detection zones based on different design requirements. For example, the back area can be divided into multiple detection zones based on the design pattern or shape requirements. However, it is not limited to this.

[0026] According to an embodiment of the present invention, the air permeability value of each morphological structural region is obtained based on the air permeability scores of each group of detection zones in each morphological structural region, and through a first algorithm, specifically including: Based on each morphological structure region, the area of ​​each detection partition is calculated separately; Based on each morphological structure region, the area of ​​each test zone is multiplied by the air permeability score of each test zone to obtain the air permeability of each test zone. Based on each morphological structure region, the air permeability of each group of test zones is added together to calculate the total air permeability of each morphological structure region. Based on each morphological structure region, the areas of each group of detection partitions are added together to obtain the total area of ​​each morphological structure region; The air permeability value of each structural region is obtained by dividing the total air permeability of each structural region by the total area of ​​the corresponding structural region.

[0027] According to an embodiment of the present invention, a representative detection partition corresponding to each group of detection partitions is selected from multiple detection partitions using an optimization algorithm, specifically including: Based on each group of test zones, each test zone is compared with other test zones one by one to determine which one is suitable for the sampling area of ​​the air permeability tester. If the former is compatible, the compatibility of the tester for the former's detection zone will be recorded once; otherwise, it will not be recorded. Based on each group of detection partitions, each detection partition is compared with the detection demand of other detection partitions one by one, and it is determined which detection partition has a higher detection demand. If the former is higher than the latter, the detection demand of the former detection partition is recorded once; otherwise, it is not recorded. After all the test partitions in each group of test partitions have completed the pairwise comparison of tester compatibility and test requirement, the total number of tester compatibility records and the total number of test requirement records for each test partition are counted. The pre-set tester compatibility and testing requirements have different weights in influencing the selection of representative testing zones; Based on each testing zone, the total number of times the tester adaptability records for each testing zone are multiplied by the corresponding influence weight to obtain the first weight value; the total number of times the testing demand records for each testing zone are multiplied by the corresponding influence weight to obtain the second weight value; the first weight value and the second weight value are added together to obtain the evaluation value for each testing zone; For each group of detection partitions, the detection partition with the highest evaluation value is selected as the representative detection partition of that group.

[0028] It is understandable that during the process of comparing the compatibility of each test zone with other test zones one by one, since the sampling area of ​​the breathability tester has a certain shape, usually circular, and the shape and size of each test zone are different, such as some being long and narrow, and some being triangular, for example, some test zones cannot completely cover the sampling area of ​​the breathability tester, and the corresponding tester compatibility is low. Even if two test zones can completely cover the sampling area, the selectable area that each test zone can cover in the sampling area can be enumerated. If the selectable area of ​​one test zone is larger than that of another test zone, then the former has a higher tester compatibility.

[0029] It is understandable that when each testing zone is compared with other testing zones one by one, the testing zones are located in different positions on the garment, and the corresponding breathability testing requirements are different depending on the position of the garment. For example, the testing requirements of the upper part of the back are higher than those of the lower part of the back. If a testing zone is located in a position with high breathability testing requirements, its corresponding testing requirements are higher, and vice versa.

[0030] According to a specific embodiment of the present invention, after selecting the detection partition with the highest evaluation value as the representative detection partition of the group of detection partitions, the method further includes: The default representative detection partition for this group of detection partitions is a polygon; Establish a planar coordinate system and obtain the coordinate information of the polygon vertices representing the detection partitions of this group of detection partitions; Add the x-coordinates of all the polygon vertices of the representative detection partition of the group of detection partitions to get the sum of the x-coordinates. Divide the sum of the x-coordinates by the total number of polygon vertices to get the center x-coordinate of the representative detection partition. Add the ordinates of all polygon vertices representing the detection partition of this group of detection partitions to get the sum of the ordinates. Divide the sum of the ordinates by the total number of polygon vertices to get the center ordinate of the representative detection partition. The center position of the representative detection partition is determined based on the center x-coordinate and center y-coordinate of the representative detection partition in this group of detection partitions; Align the center of the sampling area of ​​the air permeability tester with the center of the representative test zone of the group of test zones, and then perform the air permeability test.

[0031] According to an embodiment of the present invention, after obtaining multiple sets of detection partitions, the method further includes: Determine whether each group of test zones has a test zone that is compatible with the sampling area of ​​the air permeability tester; If it does not exist, then the detection partition is identified as a special group detection partition; The testing zones that can cover the sampling area of ​​the air permeability tester to the maximum extent are selected from the testing zones of this special group and are used as special representative testing zones of this special group.

[0032] According to an embodiment of the present invention, after selecting a testing zone from the special group of testing zones that can maximally cover the sampling area of ​​the air permeability tester, and using this zone as a particularly representative testing zone of the special group of testing zones, the method further includes: The special representative test zone of the special group test zone is covered with the maximum area of ​​the sampling area of ​​the air permeability tester, and the remaining area of ​​the sampling area is covered by other test zones. By combining sampling tests on a special representative test zone and other test zones using an air permeability tester, a combined air permeability value is obtained. Obtain the sampling area of ​​a particularly representative detection zone, the sampling area of ​​other detection zones, and the air permeability score of other detection zones in the current combined sampling. Based on the combined air permeability value of the current combined sampling, the sampling area of ​​the representative test zone in the current combined sampling, the sampling area of ​​other test zones, and the air permeability scores of other test zones, the air permeability score of the representative test zone is predicted by the air permeability prediction model.

[0033] It is understandable that the remaining area of ​​the sampling area is covered by other testing zones, which are actually testing zones of other groups. The air permeability of the fabrics of other groups can be measured by an air permeability tester on the representative testing zone.

[0034] According to a specific embodiment of the present invention, the method further includes: Construct a breathability prediction model; The air permeability prediction model was optimized and trained using sample data to obtain the optimized air permeability prediction model.

[0035] It is understood that the air permeability prediction model is a prediction model based on a backpropagation neural network, which includes an input layer, an intermediate layer, and an output layer, and optimizes the model parameters based on sample data through deep learning. However, it is not limited to this.

[0036] According to an embodiment of the present invention, after predicting the air permeability score specifically representing the test zone using an air permeability prediction model, the method further includes: Acquire multiple historical combination test data. Each historical combination test data should include at least the breathability combination value of the historical combination sampling, the sampling zone attribute of the historical combination sampling, and the measured breathability score of different sampling zones in the historical combination sampling. Feature calculation is performed based on the sampling partition attributes of each historical combination test data to obtain the feature values ​​of the historical combination samples. Obtain the sampling partition attributes of the current combined sampling, perform feature calculation, and obtain the feature values ​​of the current combined sampling; The similarity value between the feature value of each historical combination sample and the feature value of the current combination sample is calculated. Historical combination test data with similarity values ​​greater than the second threshold are used as candidate historical combination test data. Based on the test data of each candidate historical combination, the largest sampling partition in the historical combination sampling is used as the simulated special sampling partition; Based on the test data of each candidate historical combination, the air permeability combination value of the historical combination sampling, the sampling area of ​​the simulated special sampling zone in the historical combination sampling, the sampling area of ​​other sampling zones, and the measured air permeability scores of other sampling zones are input into the air permeability prediction model, and the predicted air permeability score of the simulated special sampling zone is output. Based on the test data of each candidate historical combination, the difference between the measured air permeability score and the predicted air permeability score of the simulated special sampling partition is calculated to obtain the air permeability prediction difference. The breathability prediction difference obtained based on the test data of each candidate historical combination is summed to obtain the sum of the breathability prediction difference. The sum of the breathability prediction difference is then divided by the total number of candidate historical combination test data to obtain the breathability prediction correction value. The predicted breathability score for the specific representative test zone is added to the predicted breathability correction value to obtain the corrected breathability score for the specific representative test zone.

[0037] It should be noted that, due to the limited sample data and the influence of its own parameters, the air permeability prediction model may have certain errors. This invention uses historical combination test data as a reference and selects candidate historical combination test data with similar sampling characteristics to the current combination. Based on the candidate historical combination test data, the corresponding prediction correction value is calculated. Then, based on the prediction correction value, the air permeability score of the particularly representative detection zone predicted by the air permeability prediction model is corrected, thereby obtaining a more realistic corrected air permeability score.

[0038] According to a specific embodiment of the present invention, feature calculation is performed based on the sampling partition attributes of each historical combination test data to obtain the feature values ​​of the historical combination samples, specifically including: The sampling partition attributes for each historical combination test data are preset to include the fabric type of the sampling partition of the historical combination sampling, and the area of ​​different sampling partitions. Based on the test data of each historical combination, if the sampling partition of the historical combination sampling is set to include multiple fabric types, then the composition difference of multiple fabrics will be compared pairwise, and the composition difference between each pair of fabrics will be calculated. Based on the test data of each historical combination, the mean value of the compositional difference between each pair of fabrics is calculated to obtain the regional fabric difference characteristic value of the historical combination sampling. Based on the test data of each historical combination, the sampling partitions of the historical combination are preset to be multiple. The area difference of the multiple sampling partitions is compared pairwise, and the area difference between each pair of sampling partitions is calculated. Based on the test data of each historical combination, the mean of the area difference between each pair of sampling partitions is calculated to obtain the feature value of the area difference between the partitions of the historical combination sampling.

[0039] It is understandable that the characteristic values ​​of the fabric differences and the area differences in the historical combination sampling zones together form the characteristic values ​​of the historical combination sampling.

[0040] According to a specific embodiment of the present invention, the sampling partition attributes of the current combined sampling are obtained, and feature calculation is performed to obtain the feature values ​​of the current combined sampling; specifically including: The preset sampling partition attributes for the current combination sampling include the fabric type of the sampling partition for the current combination sampling, and the area of ​​each sampling partition. If the sampling partition of the current combination sampling is assumed to have multiple fabric types, then the composition difference of multiple fabrics will be compared pairwise, and the composition difference between each pair of fabrics will be calculated. The mean of the compositional differences between each pair of fabrics in the current combination sampling is calculated to obtain the regional fabric difference characteristic value of the current combination sampling. The current combined sampling is assumed to have multiple sampling partitions. The area difference between each pair of sampling partitions is compared, and the area difference between each pair of sampling partitions is calculated. The mean of the area difference between every two sampling partitions in the current combination sampling is calculated to obtain the partition area difference characteristic value of the current combination sampling.

[0041] It is understandable that the characteristic values ​​of the fabric difference and the area difference of the current combination sampling form the characteristic value of the current combination sampling.

[0042] According to a specific embodiment of the present invention, the similarity value between the feature value of each historical combination sample and the feature value of the current combination sample is calculated to obtain the similarity value between the two; specifically including: The similarity value is calculated between the partition fabric difference feature value of each historical combination sample and the partition fabric difference feature value of the current combination sample to obtain the first similarity value. The second similarity value is obtained by comparing the partition area difference feature value of each historical combination sample with the partition area difference feature value of the current combination sample. The weights of the fabric and area on breathability are different, and the weights of the two are normalized. Multiply the first similarity value by the normalized corresponding influence weight to obtain the first value, and multiply the second similarity value by the normalized corresponding influence weight to obtain the second value; The first and second values ​​are summed to obtain their similarity value.

[0043] It is understandable that different sampling zones are zones for different fabric types.

[0044] According to embodiments of the present invention, a comprehensive evaluation of clothing fabrics is performed based on the air permeability values ​​of various morphological structural regions, and the air permeability is output as to whether it meets the standard. Specifically, this includes: The optimal breathability value is preset for each structural area; The degree of difference between the air permeability value of each morphological structural region and the corresponding optimal air permeability value is calculated. The influence weight of each structural region on the breathability of clothing is preset to be different, and the influence weight of each structural region on the breathability of clothing is normalized. Multiply the difference of each morphological structure region by the corresponding normalized influence weight to obtain the weight difference of each morphological structure region. The breathability test value of the garment is obtained by summing the weight differences of each structural region. The breathability test value of the garment is determined to be greater than the third threshold. If it is greater, the garment is deemed to be unqualified for breathability. If it is less than or equal to the threshold, the garment is deemed to be qualified for breathability.

[0045] It is understandable that different areas of clothing have different requirements for breathability, and each structural area has an optimal breathability value that meets the design requirements of the garment. This invention calculates the breathability value of each structural area, compares it with its respective optimal breathability value, and normalizes the difference based on its respective influence weight, thereby obtaining the breathability test value of the garment. The garment's quality can then be determined based on this breathability test value.

[0046] Figure 3 A block diagram of a comprehensive testing system for the breathability of clothing fabrics according to the present invention is shown.

[0047] like Figure 3 As shown, a second aspect of the present invention provides a comprehensive testing system 3 for the breathability of clothing fabrics, comprising a memory 31 and a processor 32. The memory includes a program for a comprehensive testing method for the breathability of clothing fabrics. When the processor executes the program for the comprehensive testing method for the breathability of clothing fabrics, it performs the following steps: Obtain the shape, structure, and layout of the clothing; Clothing is divided into different morphological and structural regions based on its different morphological and structural features; Based on the fabric breathability testing method, the breathability of different morphological and structural regions is tested to obtain the breathability value of the corresponding morphological and structural regions. Based on the breathability values ​​of various structural regions, the garment fabric is comprehensively evaluated, and the breathability is output to determine whether it meets the standards.

[0048] It is understandable that the morphological structure area can be divided based on the part of the body that the clothing corresponds to, such as the back area, front area, side areas, shoulder area, neck and collar area, arm area, etc., but not limited to these.

[0049] The comprehensive breathability testing system for clothing fabrics of this invention first acquires the morphological and structural layout of the garment; then, the garment is divided into different morphological and structural regions based on different morphological and structural features; next, breathability testing is performed on different morphological and structural regions using fabric breathability testing methods to obtain the breathability values ​​for the corresponding morphological and structural regions; finally, based on the breathability values ​​of each morphological and structural region, a comprehensive evaluation of the clothing fabric is performed, and the breathability is output as whether it meets the standards. This invention can achieve comprehensive and accurate testing of the breathability of clothing fabrics, and can perform comprehensive breathability testing on garments with multiple fabric combinations, offering high testing accuracy and efficiency.

[0050] According to an embodiment of the present invention, the breathability of different morphological structural regions is tested based on a fabric breathability testing method to obtain the breathability value of the corresponding morphological structural region, specifically including: Each morphological structure region is pre-defined to include multiple detection zones; For each morphological structural region, multiple detection zones are clustered and grouped based on the same fabric to obtain multiple groups of detection zones; Based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm; Based on the representative test areas of each group, the air permeability value is tested using an air permeability tester to obtain the air permeability score of each group's test areas; Based on the air permeability scores of each group of detection zones in each morphological structure region, the air permeability value of each morphological structure region is obtained through the first algorithm.

[0051] The present invention proposes a comprehensive testing system for the breathability of clothing fabrics, which can comprehensively and accurately test the breathability of clothing fabrics. It can perform comprehensive testing on the breathability of clothing with multiple fabric combinations, with high testing accuracy and high testing efficiency.

[0052] In this invention, the terms "first," "second," "third," "fourth," and "fifth" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0053] In the description of this specification, the references to terms such as "an embodiment," "specific embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0054] Although embodiments of the present invention have been shown and described above, the scope of protection of the present invention is not limited thereto. It is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, and substitutions to the above embodiments within the scope of the present invention, and such changes, modifications, and substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A comprehensive testing method for the air permeability of clothing fabrics, characterized in that, The method includes: Obtain the shape, structure, and layout of the clothing; Clothing is divided into different morphological and structural regions based on its different morphological and structural features; Based on the fabric breathability testing method, the breathability of different morphological and structural regions is tested to obtain the breathability value of the corresponding morphological and structural regions. Based on the breathability values ​​of various structural regions, the garment fabric is comprehensively evaluated, and the breathability is output to determine whether it meets the standards.

2. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 1, characterized in that, Based on fabric breathability testing methods, breathability is tested for different morphological and structural regions to obtain the corresponding breathability values ​​for each region. Specifically, this includes: Each morphological structure region is pre-defined to include multiple detection zones; For each morphological structural region, multiple detection zones are clustered and grouped based on the same fabric to obtain multiple groups of detection zones; Based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm; Based on the representative test areas of each group, the air permeability value is tested using an air permeability tester to obtain the air permeability score of each group's test areas; Based on the air permeability scores of each group of detection zones in each morphological structure region, the air permeability value of each morphological structure region is obtained through the first algorithm.

3. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 2, characterized in that, Based on the air permeability scores of each detection zone in each morphological structural region, and using the first algorithm to obtain the air permeability value of each morphological structural region, specifically including: Based on each morphological structure region, the area of ​​each detection partition is calculated separately; Based on each morphological structure region, the area of ​​each test zone is multiplied by the air permeability score of each test zone to obtain the air permeability of each test zone. Based on each morphological structure region, the air permeability of each group of test zones is added together to calculate the total air permeability of each morphological structure region. Based on each morphological structure region, the areas of each group of detection partitions are added together to obtain the total area of ​​each morphological structure region; The air permeability value of each structural region is obtained by dividing the total air permeability of each structural region by the total area of ​​the corresponding structural region.

4. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 2, characterized in that, Based on each group of detection partitions, a representative detection partition is selected from multiple detection partitions using an optimization algorithm, specifically including: Based on each group of test zones, each test zone is compared with other test zones one by one to determine which one is suitable for the sampling area of ​​the air permeability tester. If the former is compatible, the compatibility of the tester for the former's detection zone will be recorded once; otherwise, it will not be recorded. Based on each group of detection partitions, each detection partition is compared with the detection demand of other detection partitions one by one, and it is determined which detection partition has a higher detection demand. If the former is higher than the latter, the detection demand of the former detection partition is recorded once; otherwise, it is not recorded. After all the test partitions in each group of test partitions have completed the pairwise comparison of tester compatibility and test requirement, the total number of tester compatibility records and the total number of test requirement records for each test partition are counted. The pre-set tester compatibility and testing requirements have different weights in influencing the selection of representative testing zones; Based on each testing zone, the total number of times the tester adaptability records for each testing zone are multiplied by the corresponding influence weight to obtain the first weight value; the total number of times the testing demand records for each testing zone are multiplied by the corresponding influence weight to obtain the second weight value; the first weight value and the second weight value are added together to obtain the evaluation value for each testing zone; For each group of detection partitions, the detection partition with the highest evaluation value is selected as the representative detection partition of that group.

5. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 4, characterized in that, After obtaining multiple sets of detection partitions, the method further includes: Determine whether each group of test zones has a test zone that is compatible with the sampling area of ​​the air permeability tester; If it does not exist, then the detection partition is identified as a special group detection partition; The testing zones that can cover the sampling area of ​​the air permeability tester to the maximum extent are selected from the testing zones of this special group and are used as special representative testing zones of this special group.

6. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 5, characterized in that, After selecting the testing zones from the special group of testing zones that can cover the sampling area of ​​the air permeability tester to the maximum extent, and using these zones as special representative testing zones of the special group of testing zones, the method further includes: The special representative test zone of the special group test zone is covered with the maximum area of ​​the sampling area of ​​the air permeability tester, and the remaining area of ​​the sampling area is covered by other test zones. By combining sampling tests on a special representative test zone and other test zones using an air permeability tester, a combined air permeability value is obtained. Obtain the sampling area of ​​a particularly representative detection zone, the sampling area of ​​other detection zones, and the air permeability score of other detection zones in the current combined sampling. Based on the combined air permeability value of the current combined sampling, the sampling area of ​​the representative test zone in the current combined sampling, the sampling area of ​​other test zones, and the air permeability scores of other test zones, the air permeability score of the representative test zone is predicted by the air permeability prediction model.

7. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 6, characterized in that, After predicting the air permeability score of a specific test zone using the air permeability prediction model, the method further includes: Acquire multiple historical combination test data. Each historical combination test data should include at least the breathability combination value of the historical combination sampling, the sampling zone attribute of the historical combination sampling, and the measured breathability score of different sampling zones in the historical combination sampling. Feature calculation is performed based on the sampling partition attributes of each historical combination test data to obtain the feature values ​​of the historical combination samples. Obtain the sampling partition attributes of the current combined sampling, perform feature calculation, and obtain the feature values ​​of the current combined sampling; The similarity value between the feature value of each historical combination sample and the feature value of the current combination sample is calculated. Historical combination test data with similarity values ​​greater than the second threshold are used as candidate historical combination test data. Based on the test data of each candidate historical combination, the largest sampling partition in the historical combination sampling is used as the simulated special sampling partition; Based on the test data of each candidate historical combination, the air permeability combination value of the historical combination sampling, the sampling area of ​​the simulated special sampling zone in the historical combination sampling, the sampling area of ​​other sampling zones, and the measured air permeability scores of other sampling zones are input into the air permeability prediction model, and the predicted air permeability score of the simulated special sampling zone is output. Based on the test data of each candidate historical combination, the difference between the measured air permeability score and the predicted air permeability score of the simulated special sampling partition is calculated to obtain the air permeability prediction difference. The breathability prediction difference obtained based on the test data of each candidate historical combination is summed to obtain the sum of the breathability prediction difference. The sum of the breathability prediction difference is then divided by the total number of candidate historical combination test data to obtain the breathability prediction correction value. The predicted breathability score for the specific representative test zone is added to the predicted breathability correction value to obtain the corrected breathability score for the specific representative test zone.

8. The method for comprehensive testing of the air permeability of clothing fabrics according to claim 1, characterized in that, Based on the breathability values ​​of various structural regions, the garment fabric is comprehensively evaluated to determine whether its breathability meets the standards. This evaluation specifically includes: The optimal breathability value is preset for each structural area; The degree of difference between the air permeability value of each morphological structural region and the corresponding optimal air permeability value is calculated. The influence weight of each structural region on the breathability of clothing is preset to be different, and the influence weight of each structural region on the breathability of clothing is normalized. Multiply the difference of each morphological structure region by the corresponding normalized influence weight to obtain the weight difference of each morphological structure region. The breathability test value of the garment is obtained by summing the weight differences of each structural region. The breathability test value of the garment is determined to be greater than the third threshold. If it is greater, the garment is deemed to be unqualified for breathability. If it is less than or equal to the threshold, the garment is deemed to be qualified for breathability.

9. A comprehensive testing system for the breathability of clothing fabrics, characterized in that, The system includes a memory and a processor. The memory contains a program for a comprehensive testing method of the breathability of clothing fabrics. When the processor executes the program, the method performs the following steps: Obtain the shape, structure, and layout of the clothing; Clothing is divided into different morphological and structural regions based on its different morphological and structural features; Based on the fabric breathability testing method, the breathability of different morphological and structural regions is tested to obtain the breathability value of the corresponding morphological and structural regions. Based on the breathability values ​​of various structural regions, the garment fabric is comprehensively evaluated, and the breathability is output to determine whether it meets the standards.

10. The comprehensive testing system for the breathability of clothing fabrics according to claim 9, characterized in that, Based on fabric breathability testing methods, breathability is tested for different morphological and structural regions to obtain the corresponding breathability values ​​for each region. Specifically, this includes: Each morphological structure region is pre-defined to include multiple detection zones; For each morphological structural region, multiple detection zones are clustered and grouped based on the same fabric to obtain multiple groups of detection zones; Based on each group of detection partitions, a representative detection partition corresponding to that group is selected from multiple detection partitions using an optimization algorithm; Based on the representative test areas of each group, the air permeability value is tested using an air permeability tester to obtain the air permeability score of each group's test areas; Based on the air permeability scores of each group of detection zones in each morphological structure region, the air permeability value of each morphological structure region is obtained through the first algorithm.

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