Method and system for testing comfort of super-soft weft-knitted fabric and medium

Abstract

The invention provides a super-soft weft-knitted fabric comfort testing method and system and a medium, and relates to the technical field of textile material tests.The method comprises the steps that a standard sample is prepared and pretreated to eliminate internal stress; a plurality of physical characteristics such as thickness, weight per unit area, air permeability, bending length and friction coefficient can be accurately measured; based on the measured parameters, respectively calculating a fabric softness value FSV representing the dynamic softness performance and a fabric ventilation efficiency BEF reflecting the structure ventilation characteristics through a specific formula; and finally, comparing the calculated value with a preset threshold value to realize objective and quantitative evaluation of the comprehensive comfort of the fabric. The problems that a traditional subjective evaluation method is poor in consistency and a single physical index test cannot comprehensively reflect the comprehensive comfort of the fabric are effectively solved, and an efficient and reliable standardized test means is provided for fabric research and development, production and quality control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of textile material testing, in particular to a comfortable testing method, system and medium for super-soft weft-knitted fabric. BACKGROUND

[0002] Super-soft weft-knitted fabric has been increasingly widely used in high-end clothing and home textile fields in recent years due to its excellent close-to-body comfort. The comfort of the fabric is a comprehensive subjective feeling, which has traditionally been evaluated by expert hand touch and wearing experience. Although this subjective evaluation method is direct, the results are easily affected by individual experience, environmental factors and psychological state, leading to poor repeatability and low consistency of the evaluation conclusion, and it is difficult to achieve objective quantification and accurate quality control in large-scale production.

[0003] To overcome the limitations of subjective evaluation, some testing methods based on a single or a few physical indicators have appeared in the prior art, such as testing the air permeability or bending stiffness of the fabric alone to indirectly reflect its comfort. However, comfort is the result of the complex coupling of softness, air permeability, surface touch and other factors. These traditional physical testing methods often consider each performance indicator in isolation, lacking an evaluation model that can comprehensively reflect the synergistic effect of multiple physical characteristics. For example, high air permeability may be due to the sparseness of the fabric, but this is often accompanied by loose structure and reduced wear resistance; extremely high softness is sometimes achieved through finishing processes, which may come at the expense of the crispness and durability of the fabric. Therefore, it is difficult to accurately and comprehensively judge the overall comfort of the fabric based on one or two isolated indicators.

[0004] In addition, the existing testing methods have a complicated process, with relatively independent steps and manual data processing, making it difficult to form an efficient, automated and standardized testing system. This results in low testing efficiency and poor comparability of test results between different laboratories, which cannot provide fast, unified and reliable decision-making basis for fabric research and development, product control and procurement selection. There is an urgent need for a new solution that can scientifically, objectively and efficiently quantify the overall comfort of super-soft weft-knitted fabric. SUMMARY

[0005] To solve the technical problems of inconsistent results due to subjective evaluation in the prior art, and the isolated indicators of traditional physical testing methods that cannot comprehensively and accurately reflect the overall comfort of the fabric, as well as the low testing efficiency and lack of standardization, the present application provides a comfortable testing method, system and medium for super-soft weft-knitted fabric.

[0006] The technical solutions provided by the present application are as follows: First aspect: The comfortable testing method for super-soft weft-knitted fabric provided by the present application comprises: S1: Prepare standard-sized ultra-soft weft-knitted fabric samples; S2: The sample is pretreated to eliminate initial stress and stabilize its physical state; S3: Measure multiple physical properties of the sample, including thickness, weight per unit area, air permeability, bending length, and coefficient of friction; S4: Calculate the fabric softness value based on the physical properties, wherein the fabric softness value characterizes the softness performance of the fabric under dynamic load; S5: Calculate the fabric air permeability efficiency based on the physical properties, wherein the fabric air permeability efficiency characterizes the relationship between the fabric air permeability performance and structural characteristics; S6: Evaluate the overall comfort of the fabric by comparing it with a predetermined threshold based on the fabric softness value and the fabric breathability.

[0007] Preferably, the sample pretreatment in step S2 includes: S201: Place the sample in a standard temperature and humidity environment for at least 24 hours to equilibrate, with the temperature controlled at 20±2℃ and the relative humidity controlled at 65±5%; S202: Gently mechanically shake the sample to eliminate folding stress.

[0008] Preferably, the measurement of physical properties in step S3 includes: S301: Use a thickness gauge to measure the fabric thickness, and take at least 5 points to calculate the average value; S302: Using a balance to measure the weight per unit area; S303: Air permeability is measured using an air permeability tester, under standard pressure difference conditions; S304: Measure bending length using the cantilever method; S305: Measure the coefficient of friction using a coefficient of friction tester.

[0009] Preferably, calculating the fabric softness value in step S4 includes: S401: Based on the physical properties measured in step S3, including thickness T, weight per unit area W, bending length L, and coefficient of friction. Calculate the fabric softness value (FSV); S402: Calculate the fabric softness value (FSV) using the following formula: ; Where FSV is the fabric softness value, which is dimensionless; L is the bending length, in millimeters; is the coefficient of friction, dimensionless; T is the thickness, in millimeters; W is the weight per unit area, in grams per square meter; exp is the natural exponential function.

[0010] Preferably, the fabric breathability efficiency calculated in step S5 comprises: S501: Based on the physical properties measured in step S3, including air permeability Q, thickness T and weight per unit area W, calculate the fabric breathability efficiency BEF; S502: Calculate the fabric breathability efficiency BEF by the following formula: ; Wherein, BEF is the fabric breathability efficiency, unit: millimeter per second; Q is the air permeability, unit: millimeter per second; T is the thickness, unit: millimeter; W is the weight per unit area, unit: gram per square meter; is the natural logarithm function.

[0011] Preferably, the comprehensive comfort evaluation in step S6 comprises: S601: Compare the fabric softness value with the preset softness threshold value, if the fabric softness value is higher than the threshold value, it is determined that the softness meets the standard; S602: Compare the fabric breathability efficiency with the preset breathability efficiency threshold value, if the fabric breathability efficiency is higher than the threshold value, it is determined that the air permeability meets the standard; S603: When the softness and air permeability both meet the standard, it is determined that the fabric comprehensive comfort is qualified.

[0012] Preferably, the preparation of standard size samples in step S1 comprises: S101: Cut at least three representative samples from the fabric roll, each sample size is 20cm x 20cm; S102: Seal the edges of the sample to prevent scattering.

[0013] Preferably, the measurement of physical properties in step S3 further comprises: S311: Use a digital imaging system to capture fabric surface images and analyze surface texture uniformity; S312: Use the surface texture uniformity as an additional factor in step S6 to correct the comfort evaluation.

[0014] Second aspect: The present application provides a super-soft weft-knitted fabric comfort test system, comprising: A processor; A memory, the memory stores computer readable instructions, and the computer readable instructions are executed by the processor to realize the super-soft weft-knitted fabric comfort test method of the first aspect.

[0015] Third aspect: The present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to realize the super-soft weft-knitted fabric comfort test method of the first aspect The technical scheme provided by the present application has at least the following beneficial effects: (1) In the present application, the softness of the fabric is quantified by constructing a composite index FSV that integrates the thickness, unit area weight, bending length and friction coefficient and other multi-dimensional physical parameters, which overcomes the one-sidedness of single-index evaluation, and thus can more scientifically and accurately simulate and reflect the overall softness perceived by the human skin when dynamically contacting the fabric; (2) In the present application, a new parameter BEF that is related to the air permeability, thickness and area density is created to represent the air permeability efficiency of the fabric, which breaks the traditional idea of only focusing on the absolute air permeability, effectively reveals the internal influence of the structural characteristics of the fabric on its air permeability function, and realizes a more essential and comprehensive evaluation of the air permeability performance; (3) In the present application, the FSV and BEF threshold values based on a large amount of experimental data statistics are set, and a double-index joint determination rule is established, which realizes the comprehensive, rapid and objective evaluation of the softness and air permeability of the fabric, forms a reliable mapping model from physical measurement to subjective comfort perception, and provides a powerful standardized tool for product quality control and new product development. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical schemes in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0017] Figure 1 The flowchart of the comfort test method of the super-soft weft-knitted fabric provided by the embodiment of the present application is shown. Figure 2 The flowchart of measuring the physical properties in the comfort test method of the super-soft weft-knitted fabric provided by the embodiment of the present application is shown. Figure 3 The structural diagram of the comfort test system of the super-soft weft-knitted fabric provided by the embodiment of the present application is shown. DETAILED DESCRIPTION

[0018] The technical schemes in the present application will be described below with reference to the drawings.

[0019] In the embodiments of the present application, the words such as "exemplary", "for example", etc. are used to represent an example, illustration, or description. Any embodiment or design scheme described as "exemplary" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "exemplary" is intended to present the concept in a specific manner. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0020] In the embodiments of the present application, "image" and "picture" can be used interchangeably at times, and it should be pointed out that the meanings expressed are consistent when the distinction is not emphasized. "Of", "corresponding" and "relevant" can be used interchangeably at times, and it should be pointed out that the meanings expressed are consistent when the distinction is not emphasized.

[0021] In the embodiments of the present application, the subscript such as may be mistakenly used in the form of non-subscript such as W1, and the meanings expressed are consistent when the distinction is not emphasized.

[0022] To make the technical problems, technical schemes and advantages to be solved by the present application clearer, specific embodiments will be described in detail below with reference to the drawings.

[0023] Reference is made to the drawings accompanying the specification Figure 1 , which shows a flowchart of a comfort test method for super-soft weft-knitted fabric provided by the embodiments of the present application.

[0024] The embodiments of the present application provide a comfort test method for super-soft weft-knitted fabric, which can be implemented by a comfort test device for super-soft weft-knitted fabric. The comfort test device for super-soft weft-knitted fabric can be a terminal or a server. The processing flow of the comfort test method for super-soft weft-knitted fabric can include the following steps: S1: Prepare a standard-size sample of super-soft weft-knitted fabric.

[0025] In implementing this step, first, it is necessary to ensure that the selected fabric sample is sufficiently representative and can reflect the physical properties of the entire roll of fabric. Random sampling from different positions is usually used to avoid the influence of local defects on the test results. The sample size needs to be standardized, and a square or circular shape is commonly used to ensure the repeatability and comparability of subsequent tests. Professional equipment such as electric cutting knives or laser cutting instruments should be used during the cutting process to ensure that the edges are neat, without lint or deformation. The number of samples is generally not less than three to provide statistical reliability. After cutting, the samples need to be numbered and recorded for subsequent tracking and management.

[0026] In one possible implementation, preparing a standard-sized sample in step S1 includes: S101: Cut at least three representative samples from the fabric roll, each sample measuring 20 cm × 20 cm; S102: Seal the edges of the sample to prevent it from scattering.

[0027] Sample preparation utilizes a hydraulic pattern-making machine (such as the James Heal Supercut 2), equipped with a dedicated mold to ensure each cut is precisely 20.0cm × 20.0cm. The cutting direction is strictly aligned with the fabric warp markings, with a deviation not exceeding 1°. Edge sealing employs a heat-sealing device (such as the Rexel AutoCut 500), set at 180℃, 0.3MPa, and a duration of 3 seconds, forming a 2mm wide fused edge seal. Each sample is individually packaged in a sealed bag, labeled with the fabric batch number, sampling location, and preparation date. After preparation, the edge seal quality is inspected using a digital microscope (such as the Dino-Lite AM73915MZT) to ensure no fiber fraying occurs.

[0028] S2: Pre-treat the sample to eliminate initial stress and stabilize its physical state.

[0029] The pretreatment stage aims to eliminate internal stresses that may have accumulated in the fabric during production and transportation, and to bring it to a stable state in a standard environment. Samples are typically laid flat in a temperature and humidity controlled chamber, avoiding overlapping or bending. Environmental parameters must be strictly controlled to eliminate the interference of temperature and humidity fluctuations on fabric performance. Sufficient pretreatment time is necessary to ensure that the internal fiber structure of the fabric tends to reach equilibrium. During the pretreatment process, any external mechanical or chemical actions should be avoided to prevent them from affecting the natural state of the sample, thereby ensuring the accuracy and consistency of subsequent measurement data.

[0030] In one possible implementation, the sample pretreatment in step S2 includes: S201: Place the sample in a standard temperature and humidity environment for at least 24 hours to equilibrate, with the temperature controlled at 20±2℃ and the relative humidity controlled at 65±5%; S202: Gently mechanically shake the sample to eliminate folding stress.

[0031] During pretreatment, the samples were placed in a programmable temperature and humidity chamber (such as model HWS-150B) for environmental equilibration. The temperature control system used a PID algorithm to precisely maintain a temperature fluctuation range of 20±2℃, while a humidity sensor monitored the humidity in real time and adjusted it to 65±5%RH using a saturated salt solution. The equilibration cycle was set to be more than 24 hours to ensure that the fabric fibers were fully hygroscopically balanced. Mechanical shaking treatment was performed using a professional fabric pretreatment instrument (such as LabPRO-1000), with a shaking frequency controlled at 5Hz and an amplitude of 2cm, for three cycles of shaking, each lasting 30 seconds, with a 60-second interval for stress release. During shaking, the samples were laid flat on an air-floating platform to avoid new folding deformation.

[0032] S3: Measure multiple physical properties of the sample, including thickness, weight per unit area, air permeability, bending length, and coefficient of friction.

[0033] This step is the core data acquisition stage, requiring the use of high-precision instruments to measure various physical parameters. Thickness measurements are typically performed at multiple points, with the average value taken to overcome localized unevenness in the fabric. Weight per unit area must be calculated using a precision balance. Air permeability testing must be conducted under standard pressure differential conditions, recording the airflow through the fabric per unit time. Bending length reflects the fabric's bending stiffness and is commonly measured using the cantilever method or the cardioid method. The coefficient of friction is obtained through testing the sliding resistance between the fabric and a standard friction surface. All measurements must be repeated at least three times, with the average value taken as the final result.

[0034] All measuring instruments must be calibrated according to national metrological verification regulations or international standards before use. For example, thickness gauges require calibration of zero point and accuracy using standard gauge blocks, balances require calibration using standard weights, and air permeability testers require flow rate verification using standard orifice plates. Calibration records should be kept to ensure the traceability, accuracy, and reliability of measurement data.

[0035] In one possible implementation, such as Figure 2 As shown, the measurement of physical properties in step S3 includes: S301: Use a thickness gauge to measure the fabric thickness, and take at least 5 points to calculate the average value; S302: Using a balance to measure the weight per unit area; S303: Air permeability is measured using an air permeability tester, under standard pressure difference conditions; S304: Measure bending length using the cantilever method; S305: Measure the coefficient of friction using a coefficient of friction tester.

[0036] Thickness measurement was performed using a digital thickness gauge (such as the SDL-ATLAS model M034B) with a 10mm diameter measuring head and an applied pressure of 0.5kPa. Five measurement points were selected on the sample surface using a diagonal method, and the data was automatically recorded and the arithmetic mean was calculated. Weight per unit area was measured using an analytical balance with an accuracy of 0.01% (such as the METTLER TOLEDO XPR206). The sample was cut to a standard size of 10cm × 10cm, and three measurements were taken, with the average value converted to grams per square meter. Air permeability testing was performed using an automatic air permeability tester (such as the TEXTEST FX 3300). Under a standard pressure difference of 100Pa, a 20cm² test head was used, and the average value of three measurements was recorded. Bending length measurement was performed using a cantilever method testing device (such as the ASTM D1388 standard equipment). The length of the sample sliding off the platform at an angle of 41.5° was recorded, and the measurements were repeated five times each in the warp and weft directions. The friction coefficient was tested using a high-speed friction tester (such as Lawson-Hemphill CTT), with a standard stainless steel surface as the friction pair, and the speed was set to 10 mm / min. The average value of the dynamic friction coefficient was recorded.

[0037] In one possible implementation, measuring the physical properties in step S3 further includes: S311: Use a digital imaging system to capture images of the fabric surface and analyze the uniformity of the surface texture; S312: Surface texture uniformity is used as an additional factor in step S6 to modify the comfort assessment.

[0038] Surface texture analysis was performed using a high-resolution linear CCD camera (such as the SICK Ranger3) with a resolution of 2048×2048 pixels, coupled with a uniform illumination system (such as the CCS LDR2-100SW2). During image acquisition, the sample was fixed flat on a vacuum adsorption platform to avoid interference from wrinkles. Texture uniformity was calculated using the Gray-Level Co-occurrence Matrix (GLCM) algorithm, extracting three feature parameters: contrast, energy, and homogeneity, which were then weighted to synthesize a Texture Uniformity Index (TUI). This index ranges from 0 to 1, with higher values ​​indicating more uniform texture. The calculation results were input into a comfort assessment system; a warning was triggered when TUI < 0.6, and the comfort rating was automatically reduced by one level when TUI < 0.4. All image data was saved in RAW format for subsequent review.

[0039] Image acquisition should be performed in a darkroom or with ambient light shielding. A D65 standard light source should be used to uniformly illuminate the sample surface at a 45° angle, with the camera lens perpendicular to the sample surface to ensure standardized and repeatable imaging conditions. The image background should be neutral gray (such as Munsell N5) to avoid interfering with the texture analysis algorithm.

[0040] S4: Calculate the fabric softness value based on physical properties. The fabric softness value characterizes the softness performance of the fabric under dynamic load.

[0041] The softness value is calculated to quantify the fabric's suppleness characteristics during stress deformation. This parameter comprehensively reflects the coupling relationship between the fabric's bending properties, surface friction behavior, and structural density. By introducing a nonlinear combination of multidimensional physical parameters, the dynamic response of the fabric in actual use can be simulated more accurately. During the calculation, it is crucial to ensure that all parameters are in uniform units to avoid numerical deviations due to dimensional mismatches. The final softness value is a dimensionless index, facilitating cross-sectional comparisons between different types of fabrics.

[0042] In one possible implementation, calculating the fabric softness value in step S4 includes: S401: Based on the physical properties measured in step S3, including thickness T, weight per unit area W, bending length L, and coefficient of friction. Calculate the fabric softness value (FSV); S402: Calculate the fabric softness value (FSV) using the following formula: ; Where FSV is the fabric softness value, which is dimensionless; L is the bending length, in millimeters; is the coefficient of friction, dimensionless; T is the thickness, in millimeters; W is the weight per unit area, in grams per square meter; exp is the natural exponential function.

[0043] When calculating the fabric softness value, the measured physical parameters are first dimensionless. Thickness T is rounded to one decimal place in millimeters, weight per unit area W is accurate to 0.1 g / m², bending length L is recorded to 0.1 mm, and the coefficient of friction μ is rounded to three decimal places. The calculation process first calculates the T² value, then calculates the W / T ratio and takes the negative exponent of the natural exponential function. The calculation device uses an embedded system (such as an ARM Cortex-M7 processor) and runs a floating-point arithmetic library to ensure calculation accuracy. All intermediate results are retained as double-precision floating-point numbers, and the final FSV value is output with four significant digits. The calculation process includes parameter validity checks; an alarm is triggered when T ≤ 0 or W / T > 10.

[0044] S5: Calculate the fabric air permeability efficiency based on physical properties. Fabric air permeability efficiency characterizes the relationship between fabric air permeability and structural properties.

[0045] Air permeability efficiency is used to evaluate the air permeability of a fabric under unit thickness and unit mass conditions, overcoming the limitation of simple air permeability indexes that cannot reflect the influence of structure. This parameter correlates the air permeability performance of a fabric with its macroscopic structural characteristics (such as thickness and areal density), thus providing a more comprehensive characterization of its air permeability properties. During calculation, attention must be paid to the validity of the domain of the logarithmic function to ensure that the input parameters meet mathematical constraints. The final result is expressed in units with clear physical meaning and can be directly used for performance rating in engineering applications.

[0046] In one possible implementation, calculating the fabric's air permeability efficiency in step S5 includes: S501: Based on the physical properties measured in step S3, including air permeability Q, thickness T, and weight per unit area W, calculate the fabric air permeability efficiency BEF. S502: Calculate the fabric's breathability efficiency (BEF) using the following formula: ; Wherein, BEF is the fabric breathability efficiency, in millimeters per second; Q is the breathability rate, in millimeters per second; T is the thickness, in millimeters; and W is the weight per unit area, in grams per square meter. It is the natural logarithm function.

[0047] When calculating air permeability efficiency, the unit of air permeability Q is uniformly converted to mm / s, thickness T remains in mm, and weight per unit area W remains in g / m². The calculation first performs a Q / T division, then calculates the W / T ratio and takes its natural logarithm. An industrial-grade computer (such as an Advantech UNO-2483G) is used for calculation, running a real-time computing system to ensure timing determinism. The logarithmic calculation uses the CORDIC algorithm for high-precision operation, and a protection algorithm is automatically activated to avoid mathematical errors when W / T ≤ 1. The final BEF value is output as a floating-point number, labeled in mm / s, and retained to three significant figures. A complete calculation log is recorded for auditing purposes.

[0048] It should be noted that in the calculation Before inputting values, the system automatically checks the input parameters. The validity of the measurement is ensured. In addition to the previously mentioned alarms for T≤0 or W / T>10 (for FSV) and W / T≤1 (for BEF), the system will also mark the measurement as invalid and prompt the operator to remeasure if any input parameter is negative or exceeds the sensor's range. In a valid test, the relative standard deviation (RSD) of multiple measurements of all physical characteristics should be less than 5%; otherwise, the cause must be investigated and the test repeated to ensure data accuracy.

[0049] S6: Assess the overall comfort of the fabric by comparing predetermined thresholds based on the fabric softness value and fabric breathability.

[0050] The comprehensive comfort assessment phase employs a dual-indicator approach, considering both the fabric's softness to the touch and its breathability. Thresholds are determined through extensive experimental data analysis, typically with different standards set for different application scenarios (such as underwear, sportswear, and home textiles). During the assessment, the calculated indicators are compared to the thresholds; if both are met, the fabric is deemed comfortable. This step achieves an indirect mapping from physical parameters to subjective human sensation, providing an objective and quantifiable evaluation system for fabric comfort.

[0051] The preset thresholds are determined by testing a large number of standard samples with known comfort levels (such as samples graded by expert sensory evaluation) using the methods described above, establishing a database, and then analyzing the correspondence between FSV and BEF values ​​and subjective comfort levels using statistical classification algorithms (such as ROC curve analysis or machine learning classifiers). Different threshold models can be established for different types of fabrics (such as cotton, polyester, and blends) or products with different uses.

[0052] In one possible implementation, evaluating overall comfort in step S6 includes: S601: Compare the fabric softness value with the preset softness threshold. If the fabric softness value is higher than the threshold, the softness is deemed to meet the standard. S602: Compare the fabric's breathability efficiency with a preset breathability efficiency threshold. If the fabric's breathability efficiency is higher than the threshold, then the breathability is deemed to meet the standard. S603: When both softness and breathability meet the standards, the overall comfort of the fabric is deemed satisfactory.

[0053] The comfort assessment phase employs a dual-threshold judgment system. Softness thresholds are set according to fabric usage: 0.35 for underwear, 0.28 for sportswear, and 0.42 for home textiles. Breathability thresholds are also categorized: 12.5 mm / s for summer clothing, 8.2 mm / s for winter clothing, and 10.0 mm / s for general-purpose products. The assessment system uses a programmable logic controller (such as a Siemens S7-1200) to compare measured values ​​with thresholds in real time. When the FSV value is higher than the corresponding threshold, a green indicator light illuminates; when the BEF value is higher than the corresponding threshold, a blue indicator light illuminates; when both lights illuminate simultaneously, a pass signal is triggered, and the text message "Overall comfort meets the standard" is output.

[0054] Reference manual attached Figure 3 The diagram shows a structural schematic of the comfort testing system for ultra-soft weft-knitted fabrics provided in an embodiment of the present invention.

[0055] The present invention also provides a comfort testing system 20 for ultra-soft weft-knitted fabrics, applied to the comfort testing method for ultra-soft weft-knitted fabrics, including: Processor 201.

[0056] The memory 202 stores computer-readable instructions, which, when executed by the processor 201, implement the comfort testing method for ultra-soft weft-knitted fabrics as described in the method embodiment.

[0057] The comfort testing system for ultra-soft weft-knitted fabrics provided by this invention can perform the aforementioned comfort testing method for ultra-soft weft-knitted fabrics and achieve the same or similar technical effects. To avoid repetition, this invention will not elaborate further.

[0058] It should be understood that the processor in the embodiments of the present invention can be a central processing unit (CPU), or it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (PGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0059] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0060] The embodiments described herein can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0061] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0062] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0063] It should be understood that, in various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0064] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0065] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the described devices, apparatuses, and units can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0066] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0067] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0068] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0069] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0070] This invention provides a computer-readable storage medium storing a computer program thereon, characterized in that, when executed by a processor, the program implements the comfort testing method for ultra-soft weft-knitted fabrics as described in the method embodiment.

[0071] The present invention provides a computer-readable storage medium that can implement the steps and effects of the method embodiment of the super-soft weft-knitted fabric comfort test method. To avoid repetition, the present invention will not repeat them.

[0072] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: (1) In this invention, a composite index FSV that integrates multiple physical parameters such as thickness, unit area weight, bending length and friction coefficient is constructed to quantify the softness of the fabric, which overcomes the one-sidedness of single index evaluation, and thus can more scientifically and accurately simulate and reflect the overall softness performance perceived by human skin when in dynamic contact with the fabric. (2) In this invention, a new parameter BEF is established to characterize the air permeability of the fabric by establishing a new parameter BEF that relates air permeability, thickness and areal density. This breaks away from the traditional approach of focusing only on absolute air permeability and effectively reveals the intrinsic influence of the fabric's structural characteristics on its air permeability, thus achieving a more essential and comprehensive evaluation of air permeability. (3) In this invention, by setting FSV and BEF thresholds based on a large amount of experimental data and establishing a joint judgment rule for dual indicators, a comprehensive, rapid and objective evaluation of the fabric’s “softness” and “breathability” is achieved, forming a reliable mapping model from physical measurement to subjective comfort perception, providing a powerful standardized tool for product quality control and new product development.

[0073] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0074] The following points need to be explained: (1) The accompanying drawings of the embodiments of the present invention only involve the structures involved in the embodiments of the present invention. Other structures can refer to the general design.

[0075] (2) For clarity, the thickness of layers or regions is enlarged or reduced in the drawings used to describe embodiments of the invention, i.e., these drawings are not drawn to scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element or there may be intermediate elements.

[0076] (3) Where there is no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0077] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for testing the comfort of ultra-soft weft-knitted fabrics, characterized in that, include: S1: Prepare standard-sized ultra-soft weft-knitted fabric samples; S2: The sample is pretreated to eliminate initial stress and stabilize its physical state; S3: Measure multiple physical properties of the sample, including thickness, weight per unit area, air permeability, bending length, and coefficient of friction; S4: Calculate the fabric softness value based on the physical properties, wherein the fabric softness value characterizes the softness performance of the fabric under dynamic load; S5: Calculate the fabric air permeability efficiency based on the physical properties, wherein the fabric air permeability efficiency characterizes the relationship between the fabric air permeability performance and structural characteristics; S6: Evaluate the overall comfort of the fabric by comparing it with a predetermined threshold based on the fabric softness value and the fabric breathability.

2. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The sample pretreatment in step S2 includes: S201: Place the sample in a standard temperature and humidity environment for at least 24 hours to equilibrate, with the temperature controlled at 20±2℃ and the relative humidity controlled at 65±5%; S202: Gently mechanically shake the sample to eliminate folding stress.

3. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The measurement of physical properties in step S3 includes: S301: Use a thickness gauge to measure the fabric thickness, and take at least 5 points to calculate the average value; S302: Using a balance to measure the weight per unit area; S303: Air permeability is measured using an air permeability tester, under standard pressure difference conditions; S304: Measure bending length using the cantilever method; S305: Measure the coefficient of friction using a coefficient of friction tester.

4. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The calculation of the fabric softness value in step S4 includes: S401: Based on the physical properties measured in step S3, including thickness T, weight per unit area W, bending length L, and coefficient of friction. Calculate the fabric softness value (FSV); S402: Calculate the fabric softness value (FSV) using the following formula: ； Where FSV is the fabric softness value, which is dimensionless; L is the bending length, in millimeters; is the coefficient of friction, dimensionless; T is the thickness, in millimeters; W is the weight per unit area, in grams per square meter; exp is the natural exponential function.

5. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The calculation of fabric breathability efficiency in step S5 includes: S501: Based on the physical properties measured in step S3, including air permeability Q, thickness T, and weight per unit area W, calculate the fabric air permeability efficiency BEF. S502: Calculate the fabric's breathability efficiency (BEF) using the following formula: ； Wherein, BEF is the fabric breathability efficiency, in millimeters per second; Q is the breathability rate, in millimeters per second; T is the thickness, in millimeters; and W is the weight per unit area, in grams per square meter. It is the natural logarithm function.

6. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The evaluation of overall comfort in step S6 includes: S601: Compare the fabric softness value with the preset softness threshold. If the fabric softness value is higher than the threshold, the softness is deemed to meet the standard. S602: Compare the fabric's breathability efficiency with a preset breathability efficiency threshold. If the fabric's breathability efficiency is higher than the threshold, then the breathability is deemed to meet the standard. S603: When both softness and breathability meet the standards, the overall comfort of the fabric is deemed satisfactory.

7. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The preparation of standard-sized samples in step S1 includes: S101: Cut at least three representative samples from the fabric roll, each sample measuring 20 cm × 20 cm; S102: Seal the edges of the sample to prevent it from scattering.

8. The method for testing the comfort of ultra-soft weft-knitted fabrics according to claim 1, characterized in that, The measurement of physical properties in step S3 also includes: S311: Use a digital imaging system to capture images of the fabric surface and analyze the uniformity of the surface texture; S312: Surface texture uniformity is used as an additional factor in step S6 to modify the comfort assessment.

9. A comfort testing system for ultra-soft weft-knitted fabrics, characterized in that, include: processor; A memory storing computer-readable instructions, which, when executed by the processor, implement the comfort testing method for ultra-soft weft-knitted fabrics as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the comfort test method for ultra-soft weft-knitted fabrics as described in any one of claims 1 to 8.

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