A method, system and storage medium for detecting the air permeability of clothing

Abstract

The present invention relates to the technical field of clothing air permeability detection, and specifically provides a clothing air permeability detection method, system and storage medium. The present invention collects N clothing samples produced in the same batch, and for each of the clothing samples, M clothing sub-samples are collected to construct M clothing sub-sample sets; then, the air permeability of the clothing sub-samples in each of the clothing sub-sample sets is detected to obtain the air permeability detection results, and the air permeability detection includes air permeability rate test and water vapor permeability rate test; finally, according to the air permeability detection results of the clothing sub-samples, the air permeability detection qualification rate of each clothing sub-sample set and the air permeability detection qualification rate of the clothing samples are obtained. Through a clothing air permeability detection method, system and storage medium, the present invention can improve the accuracy of clothing air permeability detection.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing breathability detection, and specifically to a clothing breathability detection method, system and storage medium. Background Art

[0002] The breathability of clothing refers to the ability of the clothing material to allow air and water vapor to pass through. This property is crucial for the comfort of the wearer, especially in situations with high activity levels or hot and humid environments. Clothing with good breathability can help keep the body dry, prevent excessive sweating, reduce discomfort, and improve the comfort of the wearer.

[0003] Evaluating the breathability of clothing is an important part of ensuring the comfort, health, and athletic performance of the wearer. Clothing with good breathability can not only improve the comfort of the wearer but also reduce the risk of skin diseases and allergies. Therefore, it is necessary to detect the breathability of clothing.

[0004] The existing technologies for clothing breathability detection still have certain defects. For example, the Chinese patent with the application number CN202211247694.X proposes a clothing breathability detection method, system, storage medium, and intelligent terminal. This method detects whether the clothing contains wrinkled areas, and flattens the wrinkled areas by blowing air through a nozzle for the areas with wrinkles; for the areas without wrinkles, this method obtains the clothing breathability detection result through the reaction of the detection gas blown out by the nozzle on the test paper outside the clothing. However, the indication range of the test paper is usually wide, and the test paper is easily affected by the gases in the external environment, which will reduce the accuracy of clothing breathability detection. Another example is that the Chinese patent with the application number CN202410240448.4 proposes a clothing breathability detection method, system, intelligent terminal, and storage medium. This patent obtains the sleeve image of the clothing to be tested sleeved on a preset dummy; based on the comparison and analysis of the sleeve image and the preset clothing type characteristics, the clothing type is determined; based on the clothing type and the preset breathability parameters matching, the breathability detection parameters and standard breathability parameters corresponding to the clothing type are determined; the preset air intake detection device on the dummy is instructed to perform detection with the reference breathability detection parameters to determine the breathability detection data. In addition, the literature ("Study on Lavender Aromatic Finishing and Its Properties of Pure Cotton Knitted Fabrics", "Liaoning Silk", Shi Wei et al., 2024-03-08) detected five properties of pure cotton knitted fabrics including breathability detection. When performing breathability detection, this literature used a breathability meter to conduct multiple tests and took the average value to obtain the breathability detection result. The above methods obtain the breathability of clothing through the air intake detection device, but the air intake detection device can only detect the ability of the clothing to allow air to pass through, ignoring the ability to allow water vapor to pass through, and the detection is incomplete, which will reduce the accuracy of clothing breathability detection.

[0005] To this end, a method, a system and a storage medium for detecting the air permeability of clothing are proposed. Summary of the Invention

[0006] The object of the present invention is to provide a method, a system and a storage medium for detecting the air permeability of clothing. The present invention collects N clothing samples produced in the same batch, and for each of the clothing samples, M clothing sub-samples are collected to construct M clothing sub-sample sets; then, the air permeability of the clothing sub-samples in each of the clothing sub-sample sets is detected to obtain the air permeability detection results, and the air permeability detection includes an air permeability rate test and a water vapor permeability rate test; finally, according to the air permeability detection results of the clothing sub-samples, the air permeability detection qualification rate of each of the clothing sub-sample sets and the air permeability detection qualification rate of the clothing samples are obtained.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for detecting the air permeability of clothing includes:

[0009] Collect N clothing samples produced in the same batch, and for each of the clothing samples, M clothing sub-samples are collected to construct M clothing sub-sample sets.

[0010] Further, before collecting M clothing sub-samples for each of the clothing samples, it further includes:

[0011] Collecting sub-sample images of the positions of each clothing sub-sample on the clothing sample, and performing appearance qualification detection on each of the sub-sample images; the sub-sample images are images collected when the clothing sample does not have wrinkles; when there is at least one sub-sample image whose appearance qualification detection fails on the clothing sample, the clothing sample is removed until N clothing samples that pass the appearance qualification detection and are produced in the same batch are obtained; the steps of the appearance qualification detection include:

[0012] Inputting the sub-sample image into a clothing appearance detection model;

[0013] The appearance detection model includes an input layer, a sub-sample image feature map acquisition layer, a sub-sample image feature enhancement layer, a sub-sample image feature fusion layer, a sub-sample image appearance classification layer and a classification result output layer;

[0014] The input layer is used to input the sub-sample image into the clothing appearance detection model; the sub-sample image feature map acquisition layer is used to perform a convolution operation on the sub-sample image to obtain a plurality of sub-sample feature maps;

[0015] The sub-sample image feature enhancement layer is used to perform image enhancement on each of the sub-sample feature maps using Gaussian filtering to obtain a plurality of sub-sample feature enhancement maps;

[0016] The sub-sample image feature fusion layer is used to perform feature fusion on multiple sub-sample feature enhancement maps to obtain the appearance features of the sub-sample images; the appearance features include color features, texture features, suture features, and damage features; the damage features include tear features, wear features, and hole features; the sub-sample image appearance classification layer is used to compare the appearance features with the pre-collected standard appearance features to obtain a classification result; the classification result includes passing the appearance qualification test and failing the appearance qualification test; the classification result output layer is used to output the classification result.

[0017] Further, collecting M clothing sub-samples for each clothing sample and constructing M clothing sub-sample sets includes:

[0018] The positions of the M clothing sub-samples on the corresponding clothing samples are preset;

[0019] Each clothing sub-sample set contains clothing sub-samples at the same position from N clothing samples; the sizes of the clothing sub-samples in each clothing sub-sample set are the same; the clothing sub-samples from the same clothing sample have the same logo; the clothing sub-samples from different clothing samples have different logos.

[0020] Perform breathability detection on the clothing sub-samples in each clothing sub-sample set to obtain breathability detection results.

[0021] Further, the process of the breathability detection includes:

[0022] Use a breathability meter to test the air permeability rate of the clothing sub-sample to obtain the first breathability detection parameter of the clothing sub-sample; obtain the first breathability detection value according to the first breathability detection parameter; when the first breathability detection value is less than the first standard breathability detection value of the clothing sub-sample corresponding clothing sub-sample set, determine that the breathability detection of the clothing sub-sample is unqualified;

[0023] Otherwise, determine that the first breathability detection of the clothing sub-sample is qualified, and perform a water vapor permeability rate test on the clothing sub-sample to obtain a second breathability detection value; when the second breathability detection value is less than the second standard breathability detection value of the clothing sub-sample corresponding clothing sub-sample set, determine that the breathability detection of the clothing sub-sample is unqualified; otherwise, determine that the breathability detection of the clothing sub-sample is qualified.

[0024] Further, the process of obtaining the first breathability detection value includes:

[0025] Set K groups of environmental parameters for the air permeability test; each group of environmental parameters includes environmental temperature and environmental humidity; the parameter values in each group of environmental parameters are different;

[0026] Generate K corresponding air permeability test environments according to the K groups of environmental parameters;

[0027] Detect the air permeability parameters of the clothing sub-samples in each clothing sub-sample set after being placed in each air permeability test environment for time T 1 by an air permeability meter; the air permeability parameters include air permeability rate and air permeability pressure difference;

[0028] Obtain the first air permeability detection value of each clothing sub-sample according to the air permeability parameters, and the calculation formula is:

[0029]

[0030] where, dytq (m,n) represents the first air permeability detection value of the nth clothing sub-sample in the mth clothing sub-sample set; the value range of m is from 1 to M; the value range of n is from 1 to N; hjyx k represents the first environmental influence value of the kth air permeability test environment; represents the air permeability rate measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability test environment for time T 1 ; represents the air permeability pressure difference measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability test environment for time T; β 1 represents the air permeability rate coefficient; β 2 represents the air permeability pressure difference coefficient; exp() represents the exponential function with the natural constant as the base;

[0031] The calculation formula of the first environmental influence value is:

[0032] hjyx k = exp(α 1 *hjwd k +α 2 *hjsd k );

[0033] where, hjwd k represents the environmental temperature of the kth air permeability test environment; hjsd k represents the environmental humidity of the kth air permeability test environment; α 1 represents the first environmental temperature coefficient; α 2 represents the first environmental humidity coefficient.

[0034] Further, the process of obtaining the second air permeability detection value includes:

[0035] Drying the clothing sub-samples that have passed the first air permeability test; obtaining a detection container with only one opening; the detection container contains a humidity detection device and a humidity control device;

[0036] Placing the detection container in a water vapor transmission rate test environment, and detecting the ambient temperature and ambient humidity of the water vapor transmission rate test environment; covering the opening of the detection container with the dried clothing sub-sample so that the detection container can only exchange gases through the clothing sub-sample;

[0037] Starting the humidity control device, and closing the humidity control device when the humidity in the detection container reaches the set container humidity; the container humidity is greater than the ambient humidity of the water vapor transmission rate test environment, and the difference between the container humidity and the ambient humidity of the water vapor transmission rate test environment is the set humidity difference Q; at the T 2 moment after the humidity control is closed, detecting the first humidity in the detection container, and simultaneously detecting the second humidity of the clothing sub-sample; calculating the second air permeability detection value of the clothing sub-sample according to the container humidity, the ambient humidity of the water vapor transmission rate test environment, the first humidity and the second humidity, and the calculation formula is;

[0038]

[0039] where, detq represents the second air permeability detection value of the clothing sub-sample; hjyx szq represents the second environmental influence value of the water vapor transmission rate test environment; rqsd represents the container humidity; dysd represents the first humidity; desd represents the second humidity; hjsd represents the ambient humidity of the water vapor transmission rate test environment; χ 1 represents the container humidity change coefficient; χ 2 represents the clothing humidity coefficient; exp() represents the exponential function with the natural constant as the base;

[0040] The calculation formula of the second environmental influence value is:

[0041] hjyx szq = exp(η 1 *hjwd + η 2 *hjsd);

[0042] where, hjwd represents the ambient temperature of the water vapor transmission rate test environment; η 1 represents the second environmental temperature coefficient; η2 Denoted as the second environmental humidity coefficient.

[0043] According to the air permeability test results of the clothing sub-samples, obtain the qualified rate of air permeability test for each clothing sub-sample set and the qualified rate of air permeability test for the clothing sample.

[0044] Furthermore, the calculation formula for the qualified rate of air permeability test of each clothing sub-sample set is: where jchg m Denoted as the qualified rate of air permeability test for the m-th clothing sub-sample set; Denoted as the number of clothing sub-samples with qualified air permeability test in the m-th clothing sub-sample set;

[0045] The calculation formula for the qualified rate of air permeability test of the clothing sample is:

[0046]

[0047] where TQHG is denoted as the qualified rate of air permeability test of the clothing sample; HGYB i Denoted as the air permeability test value corresponding to the i-th clothing sample; when all M clothing sub-samples corresponding to the i-th clothing sample are qualified in the air permeability test, HGYB i = 1; otherwise, HGYB i = 0.

[0048] A clothing air permeability detection system, comprising:

[0049] A collection unit: used to collect N clothing samples produced in the same batch, collect M clothing sub-samples for each clothing sample, and construct M clothing sub-sample sets;

[0050] An air permeability detection unit: used to perform air permeability detection on the clothing sub-samples in each clothing sub-sample set and obtain air permeability test results;

[0051] An air permeability test qualified rate acquisition unit: used to obtain the qualified rate of air permeability test for each clothing sub-sample set and the qualified rate of air permeability test for the clothing sample according to the air permeability test results of the clothing sub-samples.

[0052] Furthermore, collecting M clothing sub-samples for each clothing sample and constructing M clothing sub-sample sets includes: the positions of the M clothing sub-samples on the corresponding clothing sample are preset;

[0053] Each of the clothing sub-sample sets contains clothing sub-samples at the same position from N of the clothing samples; the clothing sub-samples in each of the clothing sub-sample sets have the same size; the clothing sub-samples from the same clothing sample have the same mark; the clothing sub-samples from different clothing samples have different marks.

[0054] Further, the air permeability detection unit includes an air permeability detection module and a water vapor permeability detection module:

[0055] The air permeability detection module is used to test the air permeability of the clothing sub-sample through an air permeability meter to obtain the first air permeability detection parameter of the clothing sub-sample; obtain the first air permeability detection value according to the first air permeability detection parameter; when the first air permeability detection value is less than the first standard air permeability detection value of the clothing sub-sample corresponding clothing sub-sample set, it is determined that the air permeability detection of the clothing sub-sample is unqualified; otherwise, it is determined that the first air permeability detection of the clothing sub-sample is qualified;

[0056] The water vapor permeability detection module is used to perform a water vapor permeability test on the clothing sub-sample after determining that the first air permeability detection of the clothing sub-sample is qualified to obtain a second air permeability detection value; when the second air permeability detection value is less than the second standard air permeability detection value of the clothing sub-sample corresponding clothing sub-sample set, it is determined that the air permeability detection of the clothing sub-sample is unqualified; otherwise, it is determined that the air permeability detection of the clothing sub-sample is qualified.

[0057] A computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the method proposed in the present disclosure is implemented.

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] 1. When detecting the air permeability of clothing, the present invention not only tests the air permeability of the clothing, but also tests the water vapor permeability of the clothing. The present invention obtains the air permeability detection result of the clothing sub-sample according to the air permeability test result and the water vapor permeability test result. This method can combine the ability of the clothing to allow air and water vapor to pass through, making the clothing air permeability detection more accurate.

[0060] 2. When detecting the air permeability of clothing, the present invention detects the air permeability of the clothing sub-sample in different temperature and humidity environments. The present invention calculates the first environmental influence value in combination with the environmental temperature and environmental humidity, and calculates the first air permeability detection value of each clothing sub-sample in combination with the air permeability rate and air permeability pressure difference of the clothing sub-sample in different temperature and humidity environments. This method can combine the ability of the clothing sub-sample to allow air to pass through in different environments, thereby making the clothing air permeability detection more accurate.

[0061] 3. When the present invention detects the water vapor transmission rate of clothing, a detection container is set, and the clothing sub-sample is covered at the opening of the detection container, so that the detection container can only perform gas exchange through the clothing sub-sample. The present invention obtains the second air permeability detection value of the clothing sub-sample by detecting the humidity change in the detection container and the humidity change of the clothing sub-sample. This method can comprehensively consider the humidity changes of the clothing sub-sample itself and the detection container, accurately obtain the ability of the clothing sub-sample to allow air to pass through, and thus make the clothing air permeability detection more accurate. Brief Description of the Drawings

[0062] Figure 1 It is a schematic flow chart of a clothing air permeability detection method provided by an embodiment of the present invention;

[0063] Figure 2 It is a schematic structural diagram of a clothing air permeability detection system provided by an embodiment of the present invention;

[0064] Figure 3 It is a schematic diagram of a clothing sample provided by Embodiment 1 of the present invention;

[0065] Figure 4 It is a schematic structural diagram of an air permeability detection unit provided by an embodiment of the present invention;

[0066] Figure 5 It is a schematic diagram of an air permeability detection process provided by an embodiment of the present invention. Detailed Embodiment

[0067] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0068] The present invention provides a clothing air permeability detection method, which is applied to a clothing air permeability detection system. The specific method flow chart and system structure diagram are referred to Figure 1 and Figure 2 :

[0069] Embodiment 1

[0070] Referring to S10 in Figure 1 S10 is applied to the acquisition unit of a clothing air permeability detection system. In this embodiment, 50 clothing samples produced by Factory A are collected. The clothing samples are sports T-shirts, and the clothing samples are referred to Figure 3 .

[0071] Further, before collecting 50 clothing sub-samples for each of the clothing samples, the following steps are also included:

[0072] Collecting sub-sample images at the positions of each clothing sub-sample on the clothing sample, and performing appearance qualification detection on each of the sub-sample images; the sub-sample images are images collected when the clothing sample does not contain wrinkles; when there is at least one sub-sample image that fails the appearance qualification detection on the clothing sample, then the clothing sample is eliminated until N clothing samples that pass the appearance qualification detection of the same batch of production are obtained; the steps of the appearance qualification detection include:

[0073] Inputting the sub-sample image into a clothing appearance detection model;

[0074] The appearance detection model includes an input layer, a sub-sample image feature map acquisition layer, a sub-sample image feature enhancement layer, a sub-sample image feature fusion layer, a sub-sample image appearance classification layer, and a classification result output layer;

[0075] The input layer is used to input the sub-sample image into the clothing appearance detection model; the sub-sample image feature map acquisition layer is used to perform a convolution operation on the sub-sample image to obtain a plurality of sub-sample feature maps;

[0076] The sub-sample image feature enhancement layer is used to perform image enhancement on each of the sub-sample feature maps using Gaussian filtering to obtain a plurality of sub-sample feature enhancement maps;

[0077] The sub-sample image feature fusion layer is used to perform feature fusion on a plurality of the sub-sample feature enhancement maps to obtain the appearance features of the sub-sample image; the appearance features include color features, texture features, stitch features, and damage features; the damage features include tear features, wear features, and hole features; the sub-sample image appearance classification layer is used to compare the appearance features with the pre-collected standard appearance features to obtain a classification result; the classification result includes passing the appearance qualification detection and failing the appearance qualification detection; the classification result output layer is used to output the classification result.

[0078] In this embodiment, this step performs appearance detection on the clothing sample. When there are appearance defects in the sub-sample images at the positions of the clothing sub-samples, then the clothing sample is eliminated. This method can avoid the influence of appearance defects on the clothing air permeability detection, and further improve the accuracy of the clothing air permeability detection.

[0079] Further, in this embodiment, four clothing sub-samples are collected for each clothing sample to construct four clothing sub-sample sets. The positions of the four clothing sub-samples on the corresponding clothing sample are preset; each clothing sub-sample set contains clothing sub-samples at the same position from 50 clothing samples; the sizes of the clothing sub-samples in each clothing sub-sample set are the same; the clothing sub-samples from the same clothing sample have the same mark; the clothing sub-samples from different clothing samples have different marks. The positions and sizes of the four clothing sub-samples collected from each clothing sample refer to Table 1.

[0080] Table 1 Information Table of Clothing Sub-samples

[0081] Serial number of clothing subsample Location of clothing subsample Shape of clothing subsample Radius of clothing subsample 1 Left armpit Round 3 cm 2 Right armpit Round 3 cm 3 Chest Round 4 cm 4 Abdomen Round 4 cm

[0082] In this embodiment, four regions with relatively high requirements for air permeability are selected for detection in this step, and this embodiment ensures that the positions of the clothing sub-samples collected on each clothing sample are fixed positions. This method can avoid the influence of a single region on the accuracy of clothing air permeability detection, and thus more comprehensively evaluate its air permeability performance.

[0083] Refer to Figure 1 S20 in, S20 is applied to the air permeability detection unit of a clothing air permeability detection system. Refer to Figure 4 , the air permeability detection unit includes an air permeability detection module and a water vapor permeability detection module.

[0084] Further, refer to Figure 5 , the process of air permeability detection includes:

[0085] The air permeability of the clothing sub-sample is tested by an air permeability meter to obtain the first air permeability detection parameter of the clothing sub-sample; the first air permeability detection value is obtained according to the first air permeability detection parameter; when the first air permeability detection value is less than the first standard air permeability detection value of the clothing sub-sample corresponding clothing sub-sample set, it is determined that the air permeability detection of the clothing sub-sample is unqualified;

[0086] Otherwise, it is determined that the first air permeability detection of the clothing sub-sample is qualified, and the water vapor permeability of the clothing sub-sample is tested to obtain the second air permeability detection value; when the second air permeability detection value is less than the second standard air permeability detection value of the clothing sub-sample corresponding clothing sub-sample set, it is determined that the air permeability detection of the clothing sub-sample is unqualified; otherwise, it is determined that the air permeability detection of the clothing sub-sample is qualified.

[0087] In this embodiment, when detecting the air permeability of the clothing, not only the air permeability rate of the clothing is tested, but also the water vapor permeability rate of the clothing is tested. According to the air permeability rate test result and the water vapor permeability rate test result, the air permeability detection result of the clothing sub-sample is obtained. This method can combine the ability of the clothing to allow air and water vapor to pass through, making the air permeability detection of the clothing more accurate.

[0088] Further, the process of obtaining the first air permeability detection value includes:

[0089] In this embodiment, four sets of environmental parameters for the air permeability rate test are set; the environmental parameter sets include environmental temperature and environmental humidity; the parameter values in each environmental parameter set are different, and the specific data refer to Table 2;

[0090] Table 2 Data Sheet of Environmental Parameter Sets

[0091] Serial number of environmental parameter group Ambient temperature Ambient humidity 1 40℃ 80％ 2 40℃ 30％ 3 18℃ 80％ 4 18℃ 30％

[0092] Four corresponding air permeability rate test environments are generated according to the four environmental parameter sets;

[0093] The air permeability rate parameters of the clothing sub-samples in each clothing sub-sample set are detected by an air permeability meter after being placed in each air permeability rate test environment for time T; the air permeability rate parameters include air permeability rate and air permeability pressure difference; 1 where dytq

[0094] represents the first air permeability detection value of the nth clothing sub-sample in the mth clothing sub-sample set; the value range of m is from 1 to M; the value range of n is from 1 to N; hjyx

[0095]

[0096] where, dytq (m,n) represents the first air permeability detection value of the nth clothing sub-sample in the mth clothing sub-sample set; the value range of m is from 1 to M; the value range of n is from 1 to N; hjyx k represents the first environmental influence value of the kth air permeability rate test environment; represents the air permeability rate measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability rate test environment for time T; 1 represents the air permeability rate measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability rate test environment for time T; represents the air permeability pressure difference measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability rate test environment for time T; β 1 represents the air permeability rate coefficient; β 2 represents the air permeability pressure difference coefficient; exp() represents the exponential function with the natural constant as the base; the air permeability rate coefficient and the air permeability pressure difference coefficient are obtained by training according to historical data;

[0097] The calculation formula for the first environmental impact value is as follows:

[0098] hjyx k = exp(α 1 *hjwd k + α 2 *hjsd k );

[0099] Among them, hjwd k represents the environmental temperature of the k-th air permeability test environment; hjsd k represents the environmental humidity of the k-th air permeability test environment; α 1 represents the first environmental temperature coefficient; α 2 represents the first environmental humidity coefficient; the first environmental temperature coefficient and the first environmental humidity coefficient are obtained by training based on a large amount of historical data.

[0100] In this embodiment, in the step of detecting the air permeability of the clothing, the air permeability of the clothing sub-samples in different temperature and humidity environments is detected. This embodiment calculates the first environmental impact value by combining the environmental temperature and environmental humidity, and calculates the first air permeability detection value of each clothing sub-sample by combining the air permeability rate and air permeability pressure difference of the clothing sub-samples in different temperature and humidity environments. This method can combine the ability of the clothing sub-samples to allow air to pass through in different environments, thereby making the clothing air permeability detection more accurate.

[0101] Further, the process of obtaining the second air permeability detection value includes:

[0102] Drying the clothing sub-samples that pass the first air permeability test; obtaining a detection container with only one opening; the detection container contains a humidity detection device and a humidity control device;

[0103] Placing the detection container in the water vapor permeability test environment, and detecting the environmental temperature and environmental humidity of the water vapor permeability test environment; covering the dried clothing sub-samples on the opening of the detection container so that the detection container can only exchange gases through the clothing sub-samples;

[0104] Starting the humidity control device, and closing the humidity control device when the humidity in the detection container reaches the set container humidity; the container humidity is greater than the environmental humidity of the water vapor permeability test environment, and the difference between the container humidity and the environmental humidity of the water vapor permeability test environment is the set humidity difference Q; at T when the humidity control is closed 2After a certain moment, detect the first humidity in the detection container, and at the same time detect the second humidity of the clothing sub-sample; calculate the second air permeability detection value of the clothing sub-sample according to the container humidity, the environmental humidity of the water vapor transmission rate test environment, the first humidity and the second humidity. The calculation formula is;

[0105]

[0106] where, detq represents the second air permeability detection value of the clothing sub-sample; hjyx szq represents the second environmental impact value of the water vapor transmission rate test environment; rqsd represents the container humidity; dysd represents the first humidity; desd represents the second humidity; hjsd represents the environmental humidity of the water vapor transmission rate test environment; χ 1 represents the container humidity change coefficient; χ 2 represents the clothing humidity coefficient; exp() represents the exponential function with the natural constant as the base;

[0107] The calculation formula of the second environmental impact value is:

[0108] hjyx szq = exp(η 1 *hjwd + η 2 *hjsd);

[0109] where, hjwd represents the environmental temperature of the water vapor transmission rate test environment; η 1 represents the second environmental temperature coefficient; η 2 represents the second environmental humidity coefficient; the second environmental temperature coefficient and the second environmental humidity coefficient are obtained by training with a large amount of historical data.

[0110] In this embodiment, when detecting the water vapor transmission rate of clothing, a detection container is set, and the clothing sub-sample is covered at the opening of the detection container, so that the detection container can only exchange gases through the clothing sub-sample. In this embodiment, by detecting the humidity change in the detection container and the humidity change of the clothing sub-sample, the second air permeability detection value of the clothing sub-sample is obtained. This method can comprehensively consider the humidity changes of the clothing sub-sample itself and the detection container, and can accurately obtain the ability of the clothing sub-sample to allow air to pass through, thereby making the clothing air permeability detection more accurate.

[0111] Refer to Figure 1 in which S30 is applied to the air permeability detection qualification rate acquisition unit of a clothing air permeability detection system.

[0112] Furthermore, the calculation formula of the air permeability detection qualification rate of each clothing sub-sample set is:

[0113]

[0114] Among them, jchg m represents the qualified rate of air permeability detection for the m-th clothing subsample set; represents the number of clothing subsamples with qualified air permeability detection in the m-th clothing subsample set;

[0115] The calculation formula for the qualified rate of air permeability detection of the clothing sample is:

[0116]

[0117] Among them, TQHG represents the qualified rate of air permeability detection of the clothing sample; HGYB i represents the air permeability detection value corresponding to the i-th clothing sample; when all M clothing subsamples corresponding to the i-th clothing sample are qualified for air permeability detection, HGYB i = 1; otherwise, HGYB i = 0.

[0118] Furthermore, according to the air permeability detection results, the qualified rates of air permeability detection for the clothing samples produced in the same batch and different regions of the clothing samples are obtained, and the specific results are shown in Table 3.

[0119] Table 3 Qualified Rate Table of Air Permeability Detection

[0120] Target of air permeability detection Left armpit Right armpit Chest Abdomen Clothing sample Qualified rate of air permeability detection 98％ 100％ 96％ 100％ 94％

[0121] In this embodiment, this step obtains the qualified rate of air permeability detection for each clothing subsample set and the qualified rate of air permeability detection for the clothing sample according to the air permeability detection results of the clothing subsamples. This embodiment can not only evaluate the overall air permeability performance of the clothing sample, but also obtain the air permeability performance of different regions of the clothing sample.

[0122] Embodiment 2

[0123] Refer to Figure 1 in S10, and S10 is applied to the acquisition unit of a clothing air permeability detection system. In this embodiment, 50 clothing samples produced by Factory B are collected, and the clothing samples are sports shorts.

[0124] Furthermore, before collecting 50 clothing subsamples for each clothing sample, it also includes:

[0125] Collect sub-sample images of the positions of each clothing sub-sample on the clothing sample, and perform appearance qualification detection on each of the sub-sample images; the sub-sample images are images collected when the clothing sample does not contain wrinkles; when there is at least one sub-sample image that fails the appearance qualification detection on the clothing sample, then the clothing sample is excluded until N clothing samples that pass the appearance qualification detection of the same batch of production are obtained; the steps of the appearance qualification detection include:

[0126] Input the sub-sample image into the clothing appearance detection model;

[0127] The appearance detection model includes an input layer, a sub-sample image feature map acquisition layer, a sub-sample image feature enhancement layer, a sub-sample image feature fusion layer, a sub-sample image appearance classification layer, and a classification result output layer;

[0128] The input layer is used to input the sub-sample image into the clothing appearance detection model; the sub-sample image feature map acquisition layer is used to perform a convolution operation on the sub-sample image to obtain a plurality of sub-sample feature maps;

[0129] The sub-sample image feature enhancement layer is used to perform image enhancement on each of the sub-sample feature maps using Gaussian filtering to obtain a plurality of sub-sample feature enhancement maps;

[0130] The sub-sample image feature fusion layer is used to perform feature fusion on the plurality of sub-sample feature enhancement maps to obtain the appearance features of the sub-sample image;

[0131] The appearance features include color features, texture features, stitch features, and damage features; the damage features include tear features, wear features, and hole features;

[0132] The sub-sample image appearance classification layer is used to compare the appearance features with the pre-collected standard appearance features to obtain a classification result;

[0133] The classification result includes passing the appearance qualification detection and failing the appearance qualification detection; the classification result output layer is used to output the classification result.

[0134] Further, in this embodiment, four clothing sub-samples are collected for each clothing sample to construct four clothing sub-sample sets. The positions of the four clothing sub-samples on the corresponding clothing sample are preset;

[0135] Each of the clothing sub-sample sets contains clothing sub-samples at the same position from 50 of the clothing samples; the sizes of the clothing sub-samples in each of the clothing sub-sample sets are the same;

[0136] The clothing sub-samples from the same clothing sample contain the same logo;

[0137] The clothing subsamples from different clothing samples contain different logos. The positions and sizes of the four clothing subsamples collected from each clothing sample are referred to Table 4.

[0138] Table 4 Information Table of Clothing Subsamples

[0139] Serial number of clothing subsample Location of clothing subsample Shape of clothing subsample Radius of clothing subsample 1 Left hip Round 3 cm 2 Right hip Round 3 cm 3 Left thigh Round 4 cm 4 Right thigh Round 4 cm

[0140] Refer to Figure 1 S20 in , S20 is applied to the air permeability detection unit of a clothing air permeability detection system. Refer to Figure 4 , the air permeability detection unit includes an air permeability detection module and a water vapor permeability detection module.

[0141] Furthermore, the process of the air permeability detection includes:

[0142] Testing the air permeability of the clothing subsample with an air permeability meter to obtain the first air permeability detection parameter of the clothing subsample; obtaining the first air permeability detection value according to the first air permeability detection parameter; when the first air permeability detection value is less than the first standard air permeability detection value of the clothing subsample corresponding clothing subsample set, it is determined that the air permeability detection of the clothing subsample is unqualified;

[0143] Otherwise, it is determined that the first air permeability detection of the clothing subsample is qualified, and the water vapor permeability of the clothing subsample is tested to obtain a second air permeability detection value; when the second air permeability detection value is less than the second standard air permeability detection value of the clothing subsample corresponding clothing subsample set, it is determined that the air permeability detection of the clothing subsample is unqualified; otherwise, it is determined that the air permeability detection of the clothing subsample is qualified.

[0144] Furthermore, the process of obtaining the first air permeability detection value includes:

[0145] In this embodiment, four sets of environmental parameters for air permeability testing are set; the environmental parameter sets include environmental temperature and environmental humidity; the parameter values in each environmental parameter set are different, and the specific data are referred to Table 5;

[0146] Table 5 Data Sheet of Environmental Parameter Sets

[0147] Serial number of environmental parameter group Ambient temperature Ambient humidity 1 40℃ 80％ 2 40℃ 30％ 3 18℃ 80％ 4 18℃ 30％

[0148] Generating four corresponding air permeability test environments according to the four environmental parameter sets;

[0149] Detecting the clothing subsamples in each clothing subsample set with an air permeability meter in each air permeability test environment and placing them for T 1Air permeability parameters after a certain moment; the air permeability parameters include air permeability rate and air permeability pressure difference;

[0150] Obtain the first air permeability detection value of each clothing sub-sample according to the air permeability parameters, and the calculation formula is:

[0151]

[0152] where, dytq (m,n) represents the first air permeability detection value of the nth clothing sub-sample in the mth clothing sub-sample set; the value range of m is from 1 to M; the value range of n is from 1 to N; hjyx k represents the first environmental impact value of the kth air permeability test environment; represents the air permeability rate measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability test environment for T 1 moments; represents the air permeability pressure difference measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability test environment for T moments; β 1 represents the air permeability rate coefficient; β 2 represents the air permeability pressure difference coefficient; exp() represents the exponential function with the natural constant as the base;

[0153] The calculation formula of the first environmental impact value is:

[0154] hjyx k = exp(α 1 *hjwd k + α 2 *hjsd k );

[0155] where, hjwd k represents the environmental temperature of the kth air permeability test environment; hjsd k represents the environmental humidity of the kth air permeability test environment; α 1 represents the first environmental temperature coefficient; α 2 represents the first environmental humidity coefficient.

[0156] Furthermore, the process of obtaining the second air permeability detection value includes:

[0157] Dry the clothing sub-samples that pass the first air permeability detection; obtain a detection container, and the detection container has only one opening; the detection container contains a humidity detection device and a humidity control device;

[0158] Place the detection container in a water vapor transmission rate test environment, and detect the ambient temperature and ambient humidity of the water vapor transmission rate test environment; cover the dried clothing sub-sample on the opening of the detection container so that the detection container can only exchange gases through the clothing sub-sample;

[0159] Start the humidity control device, and when the humidity in the detection container reaches the set container humidity, turn off the humidity control device; the container humidity is greater than the ambient humidity of the water vapor transmission rate test environment, and the difference between the container humidity and the ambient humidity of the water vapor transmission rate test environment is the set humidity difference Q; at the T 2 moment after the humidity control is turned off, detect the first humidity in the detection container, and at the same time detect the second humidity of the clothing sub-sample; calculate the second air permeability detection value of the clothing sub-sample according to the container humidity, the ambient humidity of the water vapor transmission rate test environment, the first humidity and the second humidity, and the calculation formula is;

[0160]

[0161] where, detq represents the second air permeability detection value of the clothing sub-sample; hjyx szq represents the second environmental impact value of the water vapor transmission rate test environment; rqsd represents the container humidity; dysd represents the first humidity; desd represents the second humidity; hjsd represents the ambient humidity of the water vapor transmission rate test environment; χ 1 represents the container humidity change coefficient; χ 2 represents the clothing humidity coefficient; exp() represents the exponential function with the natural constant as the base;

[0162] The calculation formula for the second environmental impact value is:

[0163] hjyx szq = exp(η 1 *hjwd + η 2 *hjsd);

[0164] where, hjwd represents the ambient temperature of the water vapor transmission rate test environment; η 1 represents the second environmental temperature coefficient; η 2 represents the second environmental humidity coefficient.

[0165] Refer to Figure 1 S30 in, and S30 is applied to the air permeability detection qualification rate acquisition unit of a clothing air permeability detection system.

[0166] Furthermore, the calculation formula for the air permeability detection qualification rate of each clothing sub-sample set is: Among them, jchg m represents the qualified rate of air permeability detection for the m-th clothing sub-sample set; represents the number of clothing sub-samples that are qualified in air permeability detection in the m-th clothing sub-sample set;

[0167] The calculation formula for the qualified rate of air permeability detection of the clothing sample is:

[0168]

[0169] Among them, TQHG represents the qualified rate of air permeability detection of the clothing sample; HGYB i represents the air permeability detection value corresponding to the i-th clothing sample; when all M clothing sub-samples corresponding to the i-th clothing sample are qualified in air permeability detection, HGYB i = 1; otherwise, HGYB i = 0.

[0170] Furthermore, according to the air permeability detection results, the qualified rates of air permeability detection for the clothing samples produced in the same batch and different regions of the clothing samples are obtained. The specific results are shown in Table 6.

[0171] Table 6 Qualified Rate Table of Air Permeability Detection

[0172] Target of air permeability detection Left hip Right hip Left thigh Right thigh Clothing sample Qualified rate of air permeability detection 98％ 100％ 100％ 100％ 98％

[0173] In this embodiment, when detecting the air permeability of clothing, not only the air permeability test of the clothing is carried out, but also the water vapor permeability test of the clothing is carried out. According to the air permeability test results and the water vapor permeability test results, this embodiment obtains the air permeability test results of the clothing sub-samples. This method can combine the abilities of the clothing to allow air and water vapor to pass through, making the clothing air permeability detection more accurate. When detecting the air permeability of the clothing in this embodiment, the air permeability of the clothing sub-samples in different temperature and humidity environments is detected. This embodiment calculates the first environmental impact value by combining the environmental temperature and environmental humidity, and calculates the first air permeability test value of each clothing sub-sample by combining the air permeability rate and the air permeability pressure difference of the clothing sub-samples in different temperature and humidity environments. This method can combine the abilities of the clothing sub-samples to allow air to pass through in different environments, thereby making the clothing air permeability detection more accurate. When detecting the water vapor permeability of the clothing in this embodiment, a detection container is set, and the clothing sub-sample is covered at the opening of the detection container, so that the detection container can only perform gas exchange through the clothing sub-sample. This embodiment obtains the second air permeability test value of the clothing sub-sample by detecting the humidity change in the detection container and the humidity change of the clothing sub-sample. This method can comprehensively consider the humidity changes of the clothing sub-sample itself and the detection container, and can accurately obtain the ability of the clothing sub-sample to allow air to pass through, thereby making the clothing air permeability detection more accurate.

[0174] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting air permeability of clothing, characterized in that: include: Collect N clothing samples produced in the same batch, collect M clothing sub-samples for each clothing sample, and construct M clothing sub-sample sets; Performing air permeability testing on each clothing sub-sample in the clothing sub-sample set to obtain an air permeability testing result; The process of the air permeability test includes: Performing an air permeability test on the clothing sub-sample by using an air permeability meter to obtain a first air permeability test parameter of the clothing sub-sample; obtaining a first air permeability test value according to the first air permeability test parameter; and determining that the clothing sub-sample fails the air permeability test when the first air permeability test value is less than a first standard air permeability test value of a clothing sub-sample set corresponding to the clothing sub-sample; Otherwise, the first air permeability test of the clothing sub-sample is determined to be qualified, and a water vapor transmission rate test is performed on the clothing sub-sample to obtain a second air permeability test value; when the second air permeability test value is less than the second standard air permeability test value of the clothing sub-sample set corresponding to the clothing sub-sample, the clothing sub-sample is determined to be unqualified in the air permeability test; otherwise, the clothing sub-sample is determined to be qualified in the air permeability test; The process of obtaining the first air permeability test value includes: setting K environmental parameter groups for air permeability tests; the environmental parameter groups include environmental temperature and environmental humidity; and the parameter values ​​in each of the environmental parameter groups are different; Generating K corresponding air permeability test environments according to the K environmental parameter groups; Detecting the air permeability parameters of each clothing sub-sample in the clothing sub-sample set after being placed in each air permeability test environment at time T1 by an air permeability meter; the air permeability parameters include air permeability rate and air permeability pressure difference; The first air permeability test value of each clothing sub-sample is obtained according to the air permeability parameter, and the calculation formula is: Among them, dytq (m,n) It is represented by the first air permeability test value of the nth clothing subsample in the mth clothing subsample set; the value range of m is 1 to M; the value range of n is 1 to N; hjyx k It is expressed as the first environmental impact value of the kth air permeability test environment; It is represented by the air permeability rate measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability test environment at time T1; It is represented by the air permeability pressure difference measured after the nth clothing subsample in the mth clothing subsample set is placed in the kth air permeability test environment at time T; β1 is represented by the air permeability rate coefficient; β2 is represented by the air permeability pressure difference coefficient; exp() is represented by an exponential function with a natural constant as the base; The calculation formula of the first environmental impact value is: hjyx k =exp(α1*hjwd k +α2*hjsd k ); Among them, hjwd k It is represented by the ambient temperature of the kth air permeability test environment; hjsd k It is represented by the ambient humidity of the kth air permeability test environment; α1 is represented by the first ambient temperature coefficient; α2 is represented by the first ambient humidity coefficient; According to the air permeability test results of the clothing sub-samples, the air permeability test pass rate of each of the clothing sub-sample sets and the air permeability test pass rate of the clothing samples are obtained.

2. A method for detecting air permeability of clothing according to claim 1, characterized in that: The collecting of M clothing sub-samples for each clothing sample and constructing the M clothing sub-sample sets comprises: The positions of the M clothing sub-samples on the corresponding clothing sample are preset; Each of the clothing sub-sample sets contains clothing sub-samples from the same position of the N clothing samples; the clothing sub-samples in each of the clothing sub-sample sets have the same size; the clothing sub-samples from the same clothing sample contain the same logo; and the clothing sub-samples from different clothing samples contain different logos.

3. A method for detecting air permeability of clothing according to claim 1, characterized in that: Before collecting M clothing sub-samples for each clothing sample, the method further includes: Collect subsample images of each clothing subsample on the clothing sample, and perform appearance qualification inspection on each subsample image; when at least one subsample image on the clothing sample fails the appearance qualification inspection, the clothing sample is eliminated until N clothing samples produced in the same batch that pass the appearance qualification inspection are obtained; the appearance qualification inspection step includes: Inputting the subsample image into a clothing appearance detection model; The appearance detection model includes an input layer, a subsample image feature map acquisition layer, a subsample image feature enhancement layer, a subsample image feature fusion layer, a subsample image appearance classification layer and a classification result output layer; The input layer is used to input the sub-sample image into the clothing appearance detection model; the sub-sample image feature map acquisition layer is used to perform a convolution operation on the sub-sample image to obtain a plurality of sub-sample feature maps; The sub-sample image feature enhancement layer is used to perform image enhancement on each of the sub-sample feature maps by using Gaussian filtering to obtain a plurality of sub-sample feature enhancement maps; The sub-sample image feature fusion layer is used to perform feature fusion on multiple sub-sample feature enhancement images to obtain appearance features of the sub-sample image; the appearance features include color features, texture features, stitch features and damage features; the damage features include tear features, wear features and hole features; the sub-sample image appearance classification layer is used to compare the appearance features with pre-collected standard appearance features to obtain classification results; the classification results include appearance qualification test pass and appearance qualification test fail; the classification result output layer is used to output the classification results.

4. A method for detecting air permeability of clothing according to claim 1, characterized in that: The process of obtaining the second air permeability detection value includes: Drying the sub-sample of clothing that has passed the first air permeability test; obtaining a test container, wherein the test container has only one opening; and the test container contains a humidity detection device and a humidity control device; Placing the detection container in a water vapor transmission rate test environment, and detecting the ambient temperature and ambient humidity of the water vapor transmission rate test environment; covering the dried clothing sub-sample on the opening of the detection container, so that the detection container can only exchange gas through the clothing sub-sample; The humidity control device is started, and when the humidity in the detection container reaches a set container humidity, the humidity control device is turned off; the container humidity is greater than the ambient humidity of the water vapor permeability test environment, and the difference between the container humidity and the ambient humidity of the water vapor permeability test environment is a set humidity difference Q; after the moment T2 when the humidity control is turned off, the first humidity in the detection container is detected, and the second humidity of the clothing sub-sample is detected at the same time; according to the container humidity, the ambient humidity of the water vapor permeability test environment, the first humidity and the second humidity, the second air permeability test value of the clothing sub-sample is calculated, and the calculation formula is: Wherein, detq represents the second air permeability test value of the clothing sub-sample; hjyx szq It is represented as the second environmental impact value of the water vapor transmission rate test environment; rqsd is represented as the container humidity; dysd is represented as the first humidity; desd is represented as the second humidity; hjsd is represented as the environmental humidity of the water vapor transmission rate test environment; χ1 is represented as the container humidity variation coefficient; χ2 is represented as the clothing humidity coefficient; exp() is represented as an exponential function with a natural constant as the base; The calculation formula of the second environmental impact value is: hjyx szq =exp(η1*hjwd+η2*hjsd); Wherein, hjwd represents the ambient temperature of the water vapor transmission rate test environment; η1 represents the second ambient temperature coefficient; and η2 represents the second ambient humidity coefficient.

5. A method for detecting air permeability of clothing according to claim 1, characterized in that: The step of obtaining the air permeability test pass rate of each of the clothing sub-sample sets and the air permeability test pass rate of the clothing samples according to the air permeability test results of the clothing sub-samples comprises: The calculation formula for the air permeability test pass rate of each of the clothing sub-sample sets is: Among them, jchg m It is expressed as the pass rate of air permeability test of the mth clothing sub-sample set; It is represented by the number of clothing sub-samples in the mth clothing sub-sample set that pass the air permeability test; The calculation formula for the pass rate of the air permeability test of the clothing samples is: Wherein, TQHG represents the qualified rate of the breathability test of the clothing sample; HGYB i It is represented by the air permeability test value corresponding to the i-th clothing sample; when the M clothing sub-samples corresponding to the i-th clothing sample are all qualified in the air permeability test, HGYB i =1; otherwise, HGYB i =0.

6. A clothing air permeability detection system, characterized in that: include: A collection unit: used for collecting N clothing samples produced in the same batch, collecting M clothing sub-samples for each clothing sample, and constructing M clothing sub-sample sets; Air permeability testing unit: used for performing air permeability testing on each clothing sub-sample in the clothing sub-sample set to obtain an air permeability testing result; The air permeability detection unit includes an air permeability detection module and a water vapor permeability detection module: The air permeability detection module is used to perform an air permeability test on the clothing sub-sample through an air permeability meter to obtain a first air permeability detection parameter of the clothing sub-sample; obtain a first air permeability detection value according to the first air permeability detection parameter; when the first air permeability detection value is less than a first standard air permeability detection value of a clothing sub-sample set corresponding to the clothing sub-sample, determine that the clothing sub-sample fails the air permeability test; otherwise, determine that the clothing sub-sample passes the first air permeability test; The water vapor permeability detection module is used to perform a water vapor permeability test on the clothing sub-sample after determining that the clothing sub-sample passes the first air permeability test to obtain a second air permeability detection value; when the second air permeability detection value is less than the second standard air permeability detection value of the clothing sub-sample set corresponding to the clothing sub-sample, determine that the clothing sub-sample fails the air permeability test; otherwise, determine that the clothing sub-sample passes the air permeability test; The process of obtaining the first air permeability test value includes: setting K environmental parameter groups for air permeability tests; the environmental parameter groups include environmental temperature and environmental humidity; and the parameter values ​​in each of the environmental parameter groups are different; Generating K corresponding air permeability test environments according to the K environmental parameter groups; Detecting the air permeability parameters of each clothing sub-sample in the clothing sub-sample set after being placed in each air permeability test environment at time T1 by an air permeability meter; the air permeability parameters include air permeability rate and air permeability pressure difference; The first air permeability test value of each clothing sub-sample is obtained according to the air permeability parameter, and the calculation formula is: Among them, dytq (m,n) It is represented by the first air permeability test value of the nth clothing subsample in the mth clothing subsample set; the value range of m is 1 to M; the value range of n is 1 to N; hjyx k It is expressed as the first environmental impact value of the kth air permeability test environment; It is represented by the air permeability rate measured after the nth clothing sub-sample in the mth clothing sub-sample set is placed in the kth air permeability test environment at time T1; It is represented by the air permeability pressure difference measured after the nth clothing subsample in the mth clothing subsample set is placed in the kth air permeability test environment at time T; β1 is represented by the air permeability rate coefficient; β2 is represented by the air permeability pressure difference coefficient; exp() is represented by an exponential function with a natural constant as the base; The calculation formula of the first environmental impact value is: hjyx k =exp(α1*hjwd k +α2*hjsd k ); Among them, hjwd k It is represented by the ambient temperature of the kth air permeability test environment; hjsd k It is represented by the ambient humidity of the kth air permeability test environment; α1 is represented by the first ambient temperature coefficient; α2 is represented by the first ambient humidity coefficient; Air permeability test pass rate acquisition unit: used for acquiring the air permeability test pass rate of each of the clothing sub-sample sets and the air permeability test pass rate of the clothing sample according to the air permeability test results of the clothing sub-samples.

7. A clothing air permeability detection system according to claim 6, characterized in that: The collecting of M clothing sub-samples for each clothing sample and constructing the M clothing sub-sample sets comprises: The positions of the M clothing sub-samples on the corresponding clothing sample are preset; Each of the clothing sub-sample sets contains clothing sub-samples from the same position of the N clothing samples; the clothing sub-samples in each of the clothing sub-sample sets have the same size; the clothing sub-samples from the same clothing sample contain the same logo; and the clothing sub-samples from different clothing samples contain different logos.

8. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the program instructions are executed by a processor, the steps of the method described in any one of claims 1 to 5 are implemented.

Images