A method and system for detecting air permeability of clothing fabrics

Abstract

The present invention relates to the technical field of data processing, and in particular to a method and system for detecting the air permeability of clothing fabrics, comprising: obtaining the temperature and pressure performance of the lower air cavity when each type of nozzle aperture is working according to the stability of the time-domain pressure difference and the degree of temperature thermal tendency; obtaining the working fusion weight of each type of nozzle aperture according to the temperature and pressure performance and the deformation degree of the clothing fabric; obtaining the final passing gas flow of the clothing fabric according to the working fusion weight and the passing gas flow of the clothing fabric when each type of nozzle aperture is working; and performing air permeability detection on the clothing fabric based on the final passing gas flow of the clothing fabric. The present invention improves the accuracy of the result of the air permeability detection of the clothing fabric.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a method and system for detecting air permeability of clothing fabrics. Background Art

[0002] Imported functional clothing uses new fiber weaving technology. In order to provide users with a better user experience, various quality parameters should be tested. Breathability is an important indicator for product quality and safety monitoring. The ability of air to pass through fabrics is called fabric breathability, which directly affects the wearing performance of fabrics. Traditionally, fabric air permeability meters are often used to test the breathability of clothing fabrics. Since fabric air permeability meters have multiple nozzle apertures of different sizes, the gas flow rates measured at each nozzle aperture are weighted and averaged to obtain the final gas flow rate during testing. The larger the final gas flow rate, the better the breathability of the clothing fabric.

[0003] In the traditional air permeability meter detection method, the final gas flow rate is the average of the gas flow rates corresponding to each nozzle aperture. However, in actual scenarios, the detection adaptability of different nozzle apertures is different. If the nozzle aperture is too small and the actual gas flow rate is large, turbulence may occur in the lower air cavity, resulting in the secondary pressure difference in the lower air cavity reflecting the passing gas flow with low accuracy; at the same time, if the nozzle aperture is not selected properly, the fan speed that maintains the primary pressure difference constant may be too high, resulting in a large deformation of the clothing fabric, so that the actual passing gas flow into the lower air cavity is different from the ideal state, further resulting in inaccurate detection results of the air permeability of the clothing fabric. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method and system for detecting air permeability of clothing fabrics.

[0005] An embodiment of the present invention provides a method for detecting air permeability of clothing fabrics, the method comprising the following steps:

[0006] Obtain the temperature data sequence and pressure difference data sequence of the lower air cavity when several types of nozzle apertures are working, as well as the point cloud information data of the clothing fabric and the gas flow rate when each type of nozzle aperture is working;

[0007] According to the point cloud information data of the clothing fabric when each model of nozzle aperture is working, the deformation degree of the clothing fabric when each model of nozzle aperture is working is obtained;

[0008] According to the temperature data in the temperature data sequence of the lower air cavity when each model of nozzle aperture is working, the temperature heat tendency of the lower air cavity when each model of nozzle aperture is working is obtained; according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity when each model of nozzle aperture is working, the time domain pressure difference stability of the lower air cavity when each model of nozzle aperture is working is obtained; according to the time domain pressure difference stability and the temperature heat tendency, the temperature and pressure performance of the lower air cavity when each model of nozzle aperture is working is obtained; according to the temperature and pressure performance and the deformation degree of the clothing fabric, the working fusion weight of each model of nozzle aperture is obtained; according to the working fusion weight and the gas flow rate through the clothing fabric when each model of nozzle aperture is working, the final gas flow rate through the clothing fabric is obtained;

[0009] The air permeability of clothing fabrics is tested based on the final gas flow rate passing through the clothing fabrics.

[0010] Preferably, the method of obtaining the deformation degree of the clothing fabric when each type of nozzle aperture is working according to the point cloud information data of the clothing fabric when each type of nozzle aperture is working includes the following specific methods:

[0011] For any type of nozzle aperture, based on the point cloud information data of the clothing fabric when the nozzle aperture of the type is working, obtain the Euclidean distance from all positions on the clothing fabric to the laser radar plane when the nozzle aperture of the type is working, and record it as the height value of each point cloud data point;

[0012] Preset a clustering parameter , using K value The Kmeans clustering algorithm is used for The height values ​​of all point cloud data points on the clothing fabric when the nozzle aperture of the same model is working are clustered to obtain clusters; obtain the mean of the height values ​​of all point cloud data points in each cluster, and record it as the height mean of each cluster; record the cluster with the smallest height mean as the target cluster;

[0013] According to the difference in height values ​​between point cloud data points in the target cluster, obtain the The deformation factor of clothing fabric when the nozzle aperture of different models is working;

[0014] According to the location distribution of the point cloud data points in the target cluster, obtain the Confidence of deformation factor of clothing fabric when working with different nozzle apertures;

[0015] The first Confidence of deformation factor of clothing fabric when working with different nozzle apertures and the first The product of the deformation factor of the clothing fabric when the nozzle aperture of the first model is used as the The degree of deformation of clothing fabric when the nozzle aperture of different models is working.

[0016] Preferably, the method obtains the first The deformation factor of clothing fabric when the nozzle aperture of the model is working, including the specific method:

[0017] The ratio between the minimum value of the height values ​​of all point cloud data points in the target cluster and the mean value of the height values ​​of all edge point cloud data points in the target cluster is taken as the first The deformation factor of clothing fabric when the nozzle aperture of different models is working.

[0018] Preferably, the first The confidence level of the deformation factor of clothing fabric when the nozzle aperture of the same model is working includes the following specific methods:

[0019] The point cloud data point with the minimum height value in the target cluster is recorded as the center point of the clothing fabric; any two point cloud data points in the target cluster are combined in pairs to obtain several point cloud data point groups of the target cluster; for any point cloud data point group, the Euclidean distance between the two point cloud data points in the point cloud data point group is recorded as the first distance of the point cloud data point group; among all the point cloud data point groups in the target cluster, the point cloud data point group with the largest first distance is recorded as the target point cloud data point group; the straight line formed by the two point cloud data points in the target point cloud data point group is recorded as the target straight line; the vertical distance between the center point of the clothing fabric and the target straight line is recorded as the first Confidence of deformation factor of clothing fabric when working with different nozzle apertures.

[0020] Preferably, the method of obtaining the degree of temperature tendency of the lower air cavity when each type of nozzle aperture is working according to the temperature data in the temperature data sequence of the lower air cavity when each type of nozzle aperture is working includes the following specific methods:

[0021] The first The mean of the temperature data at all sampling moments in the temperature data sequence of the lower air cavity when the nozzle aperture of the same model is working is recorded as The average temperature of the nozzle aperture of each model when working;

[0022] The maximum value of the average temperature of all nozzle apertures when working is compared with the The difference between the temperature mean values ​​of the nozzle apertures of all types when they are working is recorded as the first difference; the difference between the maximum and minimum temperature mean values ​​of the nozzle apertures of all types when they are working is recorded as the second difference; the ratio of the first difference to the second difference is recorded as the second difference. The temperature trend of the lower air cavity when the nozzle aperture of different models is working.

[0023] Preferably, the time domain pressure difference stability of the lower air cavity when each type of nozzle aperture is working is obtained according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity when each type of nozzle aperture is working, including the specific method of:

[0024] The first The normalized value of the reciprocal of the standard deviation of the secondary pressure difference data at all sampling moments in the pressure difference data sequence of the lower air cavity when the nozzle aperture of the model is working is taken as the first The stability of the time domain pressure difference in the lower air cavity when the nozzle aperture of different models is working.

[0025] Preferably, the temperature and pressure performance of the lower air cavity when each nozzle aperture is working is obtained according to the stability of the time domain pressure difference and the temperature thermal tendency, including the specific method of:

[0026] The first The reciprocal of the temperature trend of the lower air cavity when the nozzle aperture of the model is working is related to the The product of the stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of the same model is working is used as the first The temperature and pressure performance of the lower air cavity when the nozzle aperture of different models is working.

[0027] Preferably, the working fusion weight of each model of nozzle aperture is obtained according to the temperature and pressure performance degree and the deformation degree of the clothing fabric, including the specific method of:

[0028] The first The reciprocal of the deformation degree of the clothing fabric when the nozzle aperture of the first model is working The normalized value of the product of the temperature and pressure performance of the lower air cavity when the nozzle aperture of the same model is working is used as the first Working fusion weights for nozzle apertures of different models.

[0029] Preferably, the final gas flow rate through the clothing fabric is obtained according to the working fusion weight and the gas flow rate through the clothing fabric when each model of nozzle aperture is working, including the specific method of:

[0030] The first The working fusion weight of the nozzle aperture of the first model is The product of the gas flow rate through the clothing fabric when the nozzle aperture of the same model is working is recorded as The gas flow factor of the nozzle aperture of each type is calculated; the average of the gas flow factors of all types of nozzle apertures is taken as the final gas flow rate of the clothing fabric.

[0031] The present invention also provides a clothing fabric air permeability detection system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the steps of the clothing fabric air permeability detection method when executing the computer program.

[0032] The beneficial effects of the technical solution of the present invention are as follows: the present invention obtains the degree of temperature thermalization of the lower air cavity of each model of nozzle aperture when working according to the temperature data in the temperature data sequence of the lower air cavity of each model of nozzle aperture when working; obtains the degree of stability of the time-domain pressure difference of the lower air cavity of each model of nozzle aperture when working according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity of each model of nozzle aperture when working; obtains the degree of temperature and pressure performance of the lower air cavity of each model of nozzle aperture when working according to the time-domain pressure difference stability and the degree of temperature thermalization; obtains the working fusion weight of each model of nozzle aperture according to the degree of temperature and pressure performance and the degree of deformation of the clothing fabric; obtains the final gas flow rate of the clothing fabric according to the working fusion weight and the gas flow rate of the clothing fabric when each model of nozzle aperture is working; performs air permeability detection on the clothing fabric based on the final gas flow rate of the clothing fabric; and sets appropriate working fusion weights for each model of nozzle aperture in combination with its working performance, thereby improving the accuracy of the result of air permeability detection of the clothing fabric. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 A flowchart of the steps of a method for detecting air permeability of clothing fabrics according to the present invention;

[0035] Figure 2 The present invention is a characteristic relationship flow chart of a method for detecting air permeability of clothing fabrics. DETAILED DESCRIPTION

[0036] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a method and system for detecting air permeability of clothing fabrics proposed by the present invention, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0037] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0038] The specific scheme of a method and system for detecting air permeability of clothing fabrics provided by the present invention is described in detail below with reference to the accompanying drawings.

[0039] See also Figure 1 , which shows a flowchart of a method for detecting air permeability of clothing fabrics provided by an embodiment of the present invention, the method comprising the following steps:

[0040] Step S001: obtaining temperature data sequences and pressure difference data sequences of the lower air cavity when several types of nozzle apertures are working, as well as point cloud information data of the clothing fabric and the gas flow rate when each type of nozzle aperture is working.

[0041] It should be noted that fabric air permeability meters are often used to test the air permeability of clothing fabrics. Fabric air permeability meters are based on the principle of differential pressure method, that is, the gas flow rate passing vertically through the fabric sample is measured under constant pressure difference conditions. The more gas flow rate passes through, the better the air permeability of the fabric sample. When the fabric air permeability meter is working, the fan in the upper air cavity adjusts the wind speed so that the pressure difference P1-P2 of the air cavities on both sides of the fabric sample is constant to the set test pressure difference, and the gas flow rate flowing into the lower air cavity corresponds to the nozzle aperture R and the secondary pressure difference P2-P3. Therefore, the gas flow rate corresponding to each type of nozzle aperture when working can be obtained by looking up the table method according to the secondary pressure difference at different types of nozzle apertures. The larger the gas flow rate, the better the air permeability of the clothing fabric.

[0042] Specifically, it is necessary to first collect the temperature data series and pressure difference data series of the lower air cavity when several types of nozzle apertures are working, as well as the point cloud information data of the clothing fabric and the gas flow rate when each type of nozzle aperture is working. The specific process is as follows:

[0043] A monitoring position is selected on the clothing fabric to ensure that there are no obvious wrinkles at the monitoring position, and a fabric sample is obtained; the fabric sample is flatly fixed on the test platform in the middle of the air cavity of the fabric air permeability meter through a clamping ring, the fabric air permeability meter is turned on, the wind speed of the fan is adjusted, the nozzle aperture is replaced in turn for detection, and a laser radar is set at the bottom of the lower cavity of the air permeability meter to collect point cloud information data that can reflect the deformation of the clothing fabric during detection, that is, to obtain point cloud data of each position on the clothing fabric when each type of nozzle aperture is working, and record it as the point cloud information data of the clothing fabric when each type of nozzle aperture is working; the gas flow rate of the clothing fabric when each type of nozzle aperture is working is collected through the fabric air permeability meter; with every 1 second as a sampling time, the temperature data, primary pressure difference data and secondary pressure difference data of the lower air cavity when several types of nozzle apertures are working are collected through a pressure difference sensor and a temperature sensor;

[0044] For any type of nozzle aperture, the sequence composed of the temperature data of the lower air cavity at all sampling moments when the nozzle aperture of this type is working is recorded as the temperature data sequence of the lower air cavity when the nozzle aperture of this type is working; the sequence composed of the secondary pressure difference data of the lower air cavity at all sampling moments when the nozzle aperture of this type is working is recorded as the pressure difference data sequence of the lower air cavity when the nozzle aperture of this type is working.

[0045] So far, the temperature data series and pressure difference data series of the lower air cavity when several types of nozzle apertures are working, as well as the point cloud information data of the clothing fabric and the gas flow rate when each type of nozzle aperture is working are obtained through the above method.

[0046] Step S002: according to the point cloud information data of the clothing fabric when each type of nozzle aperture is working, the deformation degree of the clothing fabric when each type of nozzle aperture is working is obtained.

[0047] It should be noted that when the nozzle aperture is not suitable, turbulence will occur in the lower air cavity, which will cause the primary pressure difference to be constant at the set pressure difference, and the fan speed will be too high, causing the surface of the fabric sample to have a large deformation tending to the gas flow direction during testing. At this time, it will cause a deviation in the verticality of the wind force and the fabric sample during the test, which will lead to a low confidence level in the air permeability. Therefore, the degree of deformation of the clothing fabric when each type of nozzle aperture is working is evaluated.

[0048] Preferably, in some implementations of the embodiments of the present invention, according to the point cloud information data of the clothing fabric when each type of nozzle aperture is working, the specific method for obtaining the degree of deformation of the clothing fabric when each type of nozzle aperture is working is:

[0049] For any type of nozzle aperture, based on the point cloud information data of the clothing fabric when the nozzle aperture of the type is working, obtain the Euclidean distance from all positions on the clothing fabric to the laser radar plane when the nozzle aperture of the type is working, and record it as the height value of each point cloud data point;

[0050] Since there are gaps in the clothing fabric, it is necessary to filter out the point cloud data points that have no reference value and directly penetrate the gaps in the clothing fabric and illuminate the top of the upper air cavity. The specific method is as follows:

[0051] Preset a clustering parameter , wherein this embodiment is based on This example is described as an example, and this embodiment is not specifically limited. Depends on the specific implementation situation;

[0052] Using K value The Kmeans clustering algorithm is used for The height values ​​of all point cloud data points on the clothing fabric when the nozzle aperture of the same model is working are clustered to obtain clusters; obtain the mean of the height values ​​of all point cloud data points in each cluster, and record it as the height mean of each cluster; record the cluster with the smallest height mean as the target cluster;

[0053] Among them, the Kmeans clustering algorithm is an existing technology and will not be described in detail in this embodiment.

[0054] Since the average height of the outermost edge points on the clothing fabric can reflect the initial height of the clothing fabric, if the lowest height value on the clothing fabric is lower than the average height of the outermost edge points, it means that the deformation degree of the clothing fabric is greater; therefore, Specific method for measuring the deformation factor of clothing fabric when the nozzle aperture of different models is working:

[0055] Using the edge detection algorithm based on local geometry to perform edge detection on all point cloud data points in the target cluster, all edge point cloud data points in the target cluster are obtained;

[0056] The ratio between the minimum value of the height values ​​of all point cloud data points in the target cluster and the mean value of the height values ​​of all edge point cloud data points in the target cluster is taken as the first The deformation factor of clothing fabric when the nozzle aperture of different models is working;

[0057] The specific method is:

[0058] ;

[0059] In the formula, Indicates The deformation factor of clothing fabric when the nozzle aperture of different models is working; Indicates The minimum value of the height of all point cloud data points in the target cluster when the nozzle aperture of the model is working; Indicates The mean height value of all edge point cloud data points in the target cluster when the nozzle aperture of the same model is working.

[0060] Among them, the edge detection algorithm based on local geometry is a prior art and will not be described in detail in this embodiment.

[0061] It should be noted that the degree of compression of the compression ring on the clothing fabric gradually decreases from the edge to the center of the clothing fabric. Therefore, in theory, the center of the clothing fabric should be the lowest point in height. The closer the lowest point in height is to the center of the air cavity section, the greater the confidence level of the deformation factor of the clothing fabric. Therefore, The specific method for calculating the confidence level of the deformation factor of clothing fabrics when the nozzle aperture of the same model is working is:

[0062] The point cloud data point with the minimum height value in the target cluster is recorded as the center point of the clothing fabric; any two point cloud data points in the target cluster are combined in pairs to obtain several point cloud data point groups of the target cluster; for any point cloud data point group, the Euclidean distance between the two point cloud data points in the point cloud data point group is recorded as the first distance of the point cloud data point group; among all the point cloud data point groups in the target cluster, the point cloud data point group with the largest first distance is recorded as the target point cloud data point group; the straight line formed by the two point cloud data points in the target point cloud data point group is recorded as the target straight line; the vertical distance between the center point of the clothing fabric and the target straight line is recorded as the first Confidence of deformation factor of clothing fabric when working with different nozzle apertures.

[0063] It should be noted that The greater the deformation factor and the confidence of the deformation factor of the clothing fabric when the nozzle aperture of the same model is working, the greater the deformation factor and the confidence of the deformation factor of the clothing fabric when the nozzle aperture of the same model is working. The greater the deformation degree of the nozzle aperture during operation, the greater the deformation degree of the nozzle aperture during operation. The specific method of measuring the deformation degree of clothing fabric when the nozzle aperture of the same model is working is:

[0064] The first Confidence of deformation factor of clothing fabric when working with different nozzle apertures and the first The product of the deformation factor of the clothing fabric when the nozzle aperture of the first model is used as the The degree of deformation of clothing fabrics when the nozzle aperture of different models is working;

[0065] The specific formula is:

[0066] ;

[0067] In the formula, Indicates The degree of deformation of clothing fabrics when the nozzle aperture of different models is working; Indicates Confidence of deformation factor of clothing fabric when working with different nozzle apertures; Indicates The deformation factor of clothing fabric when the nozzle aperture of different models is working.

[0068] At this point, the deformation degree of the clothing fabric when each type of nozzle aperture is working is obtained.

[0069] So far, the deformation degree of the clothing fabric when each type of nozzle aperture is working is obtained through the above method.

[0070] Step S003: according to the temperature data in the temperature data sequence of the lower air cavity when each model of nozzle aperture is working, obtain the temperature thermal tendency of the lower air cavity when each model of nozzle aperture is working; according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity when each model of nozzle aperture is working, obtain the time domain pressure difference stability of the lower air cavity when each model of nozzle aperture is working; according to the time domain pressure difference stability and the temperature thermal tendency, obtain the temperature and pressure performance of the lower air cavity when each model of nozzle aperture is working; according to the temperature and pressure performance and the deformation degree of the clothing fabric, obtain the working fusion weight of each model of nozzle aperture; according to the working fusion weight and the gas flow rate through the clothing fabric when each model of nozzle aperture is working, obtain the final gas flow rate through the clothing fabric.

[0071] It should be noted that when the nozzle aperture is too small relative to the gas flow rate flowing into the lower air cavity, turbulence may occur in the lower air cavity. The turbulence will increase the temperature in the lower air cavity and cause the secondary pressure difference in the lower air cavity to undergo large time domain fluctuations. Therefore, the fusion weights of various types of nozzle apertures are obtained based on the deformation degree of the clothing fabric and the temperature and pressure performance in the lower air cavity.

[0072] It should be noted that if the temperature value in the lower air cavity when a certain type of nozzle aperture is working is much higher than the temperature value in the lower air cavity when other types of nozzle apertures are working, it means that the probability of higher turbulence in this type of nozzle aperture is greater, and the temperature of the lower air cavity tends to heat up more when this type of nozzle aperture is working.

[0073] Preferably, in some implementations of the embodiments of the present invention, a specific method for obtaining the degree of temperature trend of the lower air cavity when each type of nozzle aperture is working is based on the temperature data in the temperature data sequence of the lower air cavity when each type of nozzle aperture is working:

[0074] The first The mean of the temperature data at all sampling moments in the temperature data sequence of the lower air cavity when the nozzle aperture of the same model is working is recorded as The average temperature of the nozzle aperture of each model when working;

[0075] The maximum value of the average temperature of all nozzle apertures when working is compared with the The difference between the temperature mean values ​​of the nozzle apertures of all types when they are working is recorded as the first difference; the difference between the maximum and minimum temperature mean values ​​of the nozzle apertures of all types when they are working is recorded as the second difference; the ratio of the first difference to the second difference is recorded as the second difference. The temperature trend of the lower air cavity when the nozzle aperture of each model is working;

[0076] The specific formula is:

[0077] ;

[0078] In the formula, Indicates The temperature trend of the lower air cavity when the nozzle aperture of each model is working; It indicates the maximum value of the mean temperature of all nozzle apertures when they are working; It indicates the minimum value of the average temperature of all types of nozzle apertures when working.

[0079] Preferably, in some implementations of the embodiments of the present invention, according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity when each type of nozzle aperture is working, a specific method for obtaining the stability of the time domain pressure difference of the lower air cavity when each type of nozzle aperture is working is as follows:

[0080] The first The normalized value of the reciprocal of the standard deviation of the secondary pressure difference data at all sampling moments in the pressure difference data sequence of the lower air cavity when the nozzle aperture of the model is working is taken as the first The stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of each model is working;

[0081] The specific formula is:

[0082] ;

[0083] In the formula, Indicates The stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of each model is working; Indicates The standard deviation of the secondary pressure difference data at all sampling moments in the pressure difference data sequence of the lower air cavity when the nozzle aperture of the same model is working; represents the linear normalization function.

[0084] It should be noted that if the temperature trend in the lower air cavity is smaller and the time-domain pressure difference stability is greater, it means that the temperature and pressure performance in the lower air cavity is better at this time, which means that the detection adaptability of the nozzle aperture is higher at this time.

[0085] Preferably, in some implementations of the embodiments of the present invention, according to the temperature trend of the lower air cavity and the stability of the time domain pressure difference when each type of nozzle aperture is working, the specific method for obtaining the temperature and pressure performance of the lower air cavity when each type of nozzle aperture is working is:

[0086] The first The reciprocal of the temperature trend of the lower air cavity when the nozzle aperture of the model is working is related to the The product of the stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of the same model is working is used as the first The temperature and pressure performance of the lower air cavity when the nozzle aperture of each model is working;

[0087] The specific formula is:

[0088] ;

[0089] In the formula, Indicates The temperature and pressure performance of the lower air cavity when the nozzle aperture of each model is working; Indicates The stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of each model is working; Indicates The temperature trend of the lower air cavity when the nozzle aperture of different models is working.

[0090] It should be noted that the smaller the deformation of the clothing fabric when a certain nozzle aperture is working, the greater the temperature and pressure performance of the lower air cavity, the higher the detection adaptability of the nozzle aperture at this time, and the greater the working fusion weight should be.

[0091] Preferably, in some implementations of the embodiments of the present invention, according to the deformation degree of the garment fabric and the temperature and pressure performance degree of the lower air cavity when each type of nozzle aperture is working, the specific method for obtaining the working fusion weight of each type of nozzle aperture is:

[0092] The first The reciprocal of the deformation degree of the clothing fabric when the nozzle aperture of the first model is working The normalized value of the product of the temperature and pressure performance of the lower air cavity when the nozzle aperture of the same model is working is used as the first Working fusion weights for nozzle apertures of different models.

[0093] The specific formula is:

[0094] ;

[0095] In the formula, Indicates Working fusion weights for nozzle apertures of different models; Indicates The temperature and pressure performance of the lower air cavity when the nozzle aperture of each model is working; Indicates The degree of deformation of clothing fabrics when the nozzle aperture of different models is working; represents the linear normalization function.

[0096] Preferably, in some implementations of the embodiments of the present invention, according to the working fusion weights of different types of nozzle apertures and the gas flow rate of the clothing fabric when each type of nozzle aperture is working, the specific method for obtaining the final gas flow rate of the clothing fabric is:

[0097] The first The working fusion weight of the nozzle aperture of the first model is The product of the gas flow rate through the clothing fabric when the nozzle aperture of the same model is working is recorded as The gas flow factor of each nozzle aperture of each model; the average of the gas flow factors of all nozzle apertures of each model is taken as the final gas flow of the clothing fabric;

[0098] The specific formula is:

[0099] ;

[0100] In the formula, Indicates the final gas flow rate through the clothing fabric; Indicates the number of types of nozzle apertures of all models; Indicates Working fusion weights for nozzle apertures of different models; Indicates The gas flow rate through the clothing fabric when the nozzle aperture of the same model is working.

[0101] So far, the final gas flow rate passing through the clothing fabric is obtained through the above method.

[0102] Step S004: performing air permeability testing on the clothing fabric based on the final gas flow rate passing through the clothing fabric.

[0103] Specifically, the final gas flow rate through the clothing fabric is converted into the air permeability of the clothing fabric through the GBT_5453-1997 textile fabric air permeability determination technology;

[0104] Preset a threshold parameter , wherein this embodiment is based on This example is described as an example, and this embodiment is not specifically limited. Depends on the specific implementation situation;

[0105] If the air permeability of the clothing fabric is greater than or equal to the threshold parameter , the air permeability of the clothing fabric is recorded as good; if the air permeability of the clothing fabric is less than the threshold parameter , the breathability of the clothing fabric is marked as unqualified.

[0106] Among them, the measurement technology of air permeability of textile fabrics in GBT_5453-1997 is the prior art, and will not be described in detail in this embodiment.

[0107] See also Figure 2 , which shows a characteristic relationship flow chart of a method for detecting air permeability of clothing fabrics;

[0108] Through the above steps, a method for detecting air permeability of clothing fabrics is completed.

[0109] The present invention also provides a clothing fabric air permeability detection system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, steps S001 to S004 of a clothing fabric air permeability detection method are implemented.

[0110] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting air permeability of clothing fabrics, characterized in that: The method comprises the following steps: Obtain the temperature data sequence and pressure difference data sequence of the lower air cavity when several types of nozzle apertures are working, as well as the point cloud information data of the clothing fabric and the gas flow rate when each type of nozzle aperture is working; According to the point cloud information data of the clothing fabric when each model of nozzle aperture is working, the deformation degree of the clothing fabric when each model of nozzle aperture is working is obtained; According to the temperature data in the temperature data sequence of the lower air cavity when each model of nozzle aperture is working, the temperature heat tendency of the lower air cavity when each model of nozzle aperture is working is obtained; according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity when each model of nozzle aperture is working, the time domain pressure difference stability of the lower air cavity when each model of nozzle aperture is working is obtained; according to the time domain pressure difference stability and the temperature heat tendency, the temperature and pressure performance of the lower air cavity when each model of nozzle aperture is working is obtained; according to the temperature and pressure performance and the deformation degree of the clothing fabric, the working fusion weight of each model of nozzle aperture is obtained; according to the working fusion weight and the gas flow rate through the clothing fabric when each model of nozzle aperture is working, the final gas flow rate through the clothing fabric is obtained; Testing the breathability of clothing fabrics based on the final gas flow through the clothing fabrics; The specific method of obtaining the degree of temperature trend of the lower air cavity when each type of nozzle aperture is working according to the temperature data in the temperature data sequence of the lower air cavity when each type of nozzle aperture is working includes: The first The mean of the temperature data at all sampling moments in the temperature data sequence of the lower air cavity when the nozzle aperture of the same model is working is recorded as The average temperature of the nozzle aperture of each model when working; The maximum value of the average temperature of all nozzle apertures when working is compared with the The difference between the temperature mean values ​​of the nozzle apertures of all types when they are working is recorded as the first difference; the difference between the maximum and minimum temperature mean values ​​of the nozzle apertures of all types when they are working is recorded as the second difference; the ratio of the first difference to the second difference is recorded as the second difference. The temperature trend of the lower air cavity when the nozzle aperture of each model is working; The specific method of obtaining the time domain pressure difference stability of the lower air cavity when each type of nozzle aperture is working according to the distribution of the secondary pressure difference data in the pressure difference data sequence of the lower air cavity when each type of nozzle aperture is working is as follows: The first The normalized value of the reciprocal of the standard deviation of the secondary pressure difference data at all sampling moments in the pressure difference data sequence of the lower air cavity when the nozzle aperture of the model is working is taken as the first The stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of each model is working; The specific method for obtaining the temperature and pressure performance of the lower air cavity when each nozzle aperture is working according to the stability of the time domain pressure difference and the temperature thermal tendency is as follows: The first The reciprocal of the temperature trend of the lower air cavity when the nozzle aperture of the model is working is related to the The product of the stability of the time domain pressure difference of the lower air cavity when the nozzle aperture of the same model is working is used as the first The temperature and pressure performance of the lower air cavity when the nozzle aperture of different models is working.

2. A method for detecting air permeability of clothing fabrics according to claim 1, characterized in that: The method of obtaining the deformation degree of the clothing fabric when each type of nozzle aperture is working according to the point cloud information data of the clothing fabric when each type of nozzle aperture is working includes the following specific methods: For any type of nozzle aperture, based on the point cloud information data of the clothing fabric when the nozzle aperture of the type is working, obtain the Euclidean distance from all positions on the clothing fabric to the laser radar plane when the nozzle aperture of the type is working, and record it as the height value of each point cloud data point; Preset a clustering parameter , using K value The Kmeans clustering algorithm is used for The height values ​​of all point cloud data points on the clothing fabric when the nozzle aperture of the same model is working are clustered to obtain clusters; obtain the mean of the height values ​​of all point cloud data points in each cluster, and record it as the height mean of each cluster; record the cluster with the smallest height mean as the target cluster; According to the difference in height values ​​between point cloud data points in the target cluster, obtain the The deformation factor of clothing fabric when the nozzle aperture of different models is working; According to the location distribution of the point cloud data points in the target cluster, obtain the Confidence of deformation factor of clothing fabric when working with different nozzle apertures; The first Confidence of deformation factor of clothing fabric when working with different nozzle apertures and the first The product of the deformation factor of the clothing fabric when the nozzle aperture of the first model is used as the The degree of deformation of clothing fabric when the nozzle aperture of different models is working.

3. A method for detecting air permeability of clothing fabrics according to claim 2, characterized in that: According to the difference in height values ​​between the point cloud data points in the target cluster, the first The deformation factor of clothing fabric when the nozzle aperture of the same model is working, including the specific method of: The ratio between the minimum value of the height values ​​of all point cloud data points in the target cluster and the mean value of the height values ​​of all edge point cloud data points in the target cluster is taken as the first The deformation factor of clothing fabric when the nozzle aperture of different models is working.

4. A method for detecting air permeability of clothing fabrics according to claim 2, characterized in that: According to the position distribution of the point cloud data points in the target cluster, the first The confidence level of the deformation factor of clothing fabric when the nozzle aperture of the same model is working includes the following specific methods: The point cloud data point with the minimum height value in the target cluster is recorded as the center point of the clothing fabric; any two point cloud data points in the target cluster are combined in pairs to obtain several point cloud data point groups of the target cluster; for any point cloud data point group, the Euclidean distance between two point cloud data points in the point cloud data point group is recorded as the first distance of the point cloud data point group; Among all the point cloud data point groups of the target cluster, the point cloud data point group with the largest first distance is recorded as the target point cloud data point group; The straight line formed by two point cloud data points in the target point cloud data point group is recorded as the target straight line; The vertical distance between the center point of the garment fabric and the target straight line is taken as the Confidence of deformation factor of clothing fabric when working with different nozzle apertures.

5. A method for detecting air permeability of clothing fabrics according to claim 1, characterized in that: The specific method of obtaining the working fusion weight of each nozzle aperture type according to the temperature and pressure performance degree and the deformation degree of the clothing fabric is as follows: The first The reciprocal of the deformation degree of clothing fabric when the nozzle aperture of the first model is working The normalized value of the product of the temperature and pressure performance of the lower air cavity when the nozzle aperture of the same model is working is used as the first Working fusion weights for each nozzle aperture.

6. A method for detecting air permeability of clothing fabrics according to claim 1, characterized in that: The method of obtaining the final gas flow rate through the clothing fabric according to the working fusion weight and the gas flow rate through the clothing fabric when each model of nozzle aperture is working includes: The first The working fusion weight of the nozzle aperture of the first model is The product of the gas flow rate through the clothing fabric when the nozzle aperture of the same model is working is recorded as The gas flow factor of the nozzle aperture of each type is calculated; the average of the gas flow factors of all types of nozzle apertures is taken as the final gas flow rate of the clothing fabric.

7. A clothing fabric air permeability detection system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method for detecting air permeability of clothing fabrics as described in any one of claims 1 to 6 are implemented.

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