A method and device for evaluating comprehensive performance of clothing based on multi-dimensional evaluation

Abstract

The present invention relates to a method and device for evaluating the comprehensive performance of clothing based on multi-dimensional evaluation, the method comprising: evaluating the thermal and moisture management efficiency of the clothing to be tested according to the thermal and moisture management efficiency evaluation index to obtain a first evaluation score; evaluating the mechanical protection performance of the clothing to be tested according to the mechanical protection performance index to obtain a second evaluation score; evaluating the additional function of the clothing to be tested according to the additional function index to obtain a third evaluation score; and calculating the comprehensive performance score of the clothing to be tested according to the first evaluation score, the second evaluation score, and the third evaluation score. The present invention provides a comprehensive, scientific, accurate and practical method for evaluating the comprehensive performance of clothing, which ensures the comprehensiveness and accuracy of the evaluation, and can more comprehensively reflect the actual performance of the clothing through comprehensive evaluation in multiple dimensions.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing performance evaluation, and in particular to a clothing comprehensive performance evaluation method and device based on multi-dimensional evaluation. Background Art

[0002] As people's requirements for clothing performance continue to increase, especially in the field of functional clothing, such as work clothes, outdoor clothing, etc., it is not only necessary to meet basic wearing needs, but also to have good performance in heat and moisture management, mechanical protection and additional functions (such as antibacterial, flame retardant, etc.).

[0003] In the field of clothing performance evaluation, existing technologies have many deficiencies. Many traditional evaluation methods focus on the measurement of a single performance indicator and lack a comprehensive consideration of the comprehensive performance of clothing. For example, some studies only focus on indicators related to thermal and moisture comfort of clothing, such as only measuring moisture permeability or breathability, without combining it with mechanical protection performance, additional functions and other aspects for evaluation. In addition, some studies only rely on subjective feedback from users when evaluating clothing comfort, lacking objective data support, making the evaluation results inaccurate and difficult to use for product improvement. In addition, the accuracy of some evaluation models is limited. For example, some simple linear models cannot accurately describe the complex nonlinear relationship between clothing performance and multiple influencing factors. In addition, for the evaluation of additional functions of clothing, existing technologies have problems such as incomplete testing and inconsistent standards. For example, in the evaluation of antibacterial properties, some methods do not comprehensively consider the dissolution of antibacterial substances, toxicological effects and effects on skin flora.

[0004] Therefore, there is an urgent need to establish an evaluation method in this field that can comprehensively consider the various performance aspects of clothing. Summary of the invention

[0005] The present invention provides a method and device for evaluating comprehensive performance of clothing based on multi-dimensional evaluation, so as to solve the defects of the prior art.

[0006] The present invention provides a method for evaluating the comprehensive performance of clothing based on multi-dimensional evaluation, comprising: S1: Evaluate the thermal and moisture management efficiency of the tested garment according to the thermal and moisture management efficiency evaluation index and obtain the first evaluation score; S2: Evaluate the mechanical protection performance of the tested garment according to the mechanical protection performance index and obtain the second evaluation score; S3: Evaluate the additional functions of the tested garments according to the additional function indicators and obtain the third evaluation score; S4: Calculate the comprehensive performance score of the garment to be tested according to the first evaluation score, the second evaluation score, and the third evaluation score.

[0007] According to a clothing comprehensive performance evaluation method based on multi-dimensional evaluation provided by the present invention, the heat and moisture management efficiency evaluation index in step S1 specifically includes: The moisture permeability is expressed as:

[0008] in, To calculate the moisture permeability, is the weight change of the same test sample, is the weight change of the same blank sample, is the effective test area, For the test time; Drying rate, the expression of the drying rate is:

[0009] in, is the drying rate, is the volume of water added in the test, is the drying time; Thermal resistance value, the expression of thermal resistance value is:

[0010] in, To calculate the thermal resistance value, is the surface temperature of the test plate, is the temperature of the climate chamber, is the test plate area, is the heating power of the test panel, is the correction value, is the thermal resistance instrument constant; Wet resistance value, the expression of the wet resistance value is:

[0011] in, To calculate the wet resistance value, is the water vapor pressure on the test plate surface, is the saturated water vapor pressure, is the humidity resistance instrument constant; Breathability index; Instant contact coolness indicator.

[0012] According to a clothing comprehensive performance evaluation method based on multi-dimensional evaluation provided by the present invention, the mechanical protection performance index in step S2 specifically includes: Tensile strength index, elastic recovery rate, tear strength, bursting strength, and abrasion resistance index.

[0013] According to a clothing comprehensive performance evaluation method based on multi-dimensional evaluation provided by the present invention, the additional function indicators in step S3 include: Antimicrobial index; Flame retardancy index; Antistatic index; Radiation resistance index; Electromagnetic shielding performance index, the expression of the electromagnetic shielding performance index is:

[0014] in, is the electromagnetic shielding performance index value, is the incident electromagnetic field intensity, is the electromagnetic field strength after passing through multiple layers of samples.

[0015] According to a method for evaluating comprehensive performance of clothing based on multi-dimensional evaluation provided by the present invention, the radiation resistance index is tested by UVA value, UVB value and UPF value, and the expression of the UVA value is:

[0016] in, For the sample UVA value, is the wavelength, is the number of measurements at wavelengths between 315nm and 400nm. For the sample Spectral transmittance at the corresponding wavelength; The expression of the UVB value is:

[0017] in, For the sample UVB value, The number of measurements at wavelengths between 280nm and 315nm; The expression of the UPF value is:

[0018] in, For the sample UPF value, is the sunlight spectral irradiance, is the relative erythema effect, is the wavelength interval, The wavelength is Spectral transmittance at .

[0019] According to a clothing comprehensive performance evaluation method based on multi-dimensional evaluation provided by the present invention, the first evaluation score is the objective score corresponding to the thermal and moisture management efficiency evaluation index and the subjective score of the subjective evaluation of the thermal and moisture management efficiency, and the second evaluation score is the objective score corresponding to the mechanical protection performance index and the subjective score of the subjective evaluation of the mechanical protection performance.

[0020] According to a clothing comprehensive performance evaluation method based on multi-dimensional evaluation provided by the present invention, the expression of the comprehensive performance score in step S4 is:

[0021] in, To calculate the overall performance score, Score for the first review, is the weight value corresponding to the first evaluation score, Score for the second review, is the weight value corresponding to the second evaluation score, For the third evaluation score, is the weight value corresponding to the third evaluation score.

[0022] A second aspect of the present invention provides a clothing comprehensive performance evaluation device based on multi-dimensional evaluation, comprising: The first evaluation module is used to evaluate the heat and moisture management efficiency of the tested garment according to the heat and moisture management efficiency evaluation index to obtain the first evaluation score; The second evaluation module is used to evaluate the mechanical protection performance of the tested clothing according to the mechanical protection performance index and obtain the second evaluation score; The third evaluation module: used to evaluate the additional functions of the tested garments according to the additional function indicators and obtain the third evaluation score; Calculation module: used for calculating the comprehensive performance score of the garment to be tested according to the first evaluation score, the second evaluation score and the third evaluation score.

[0023] The third aspect of the present invention provides a clothing comprehensive performance evaluation device based on multi-dimensional evaluation, comprising: A memory and at least one processor, wherein instructions are stored in the memory; At least one of the processors calls the instructions in the memory so that the clothing comprehensive performance evaluation device based on multi-dimensional evaluation executes the clothing comprehensive performance evaluation method based on multi-dimensional evaluation as described in any one of the above.

[0024] A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored thereon, and when the instructions are executed by a processor, the method for evaluating comprehensive performance of clothing based on multi-dimensional evaluation as described in any one of the above items is implemented.

[0025] The present invention provides a method, device, equipment and storage medium for evaluating the comprehensive performance of clothing based on multi-dimensional evaluation, and provides a method for evaluating the comprehensive performance of clothing based on multi-dimensional evaluation, covering multiple aspects such as thermal and moisture management efficiency, mechanical protection performance and additional functions, ensuring the comprehensiveness and accuracy of the evaluation. Through comprehensive evaluation in multiple dimensions, it can more comprehensively reflect the actual performance of clothing, and provide a scientific basis for the research and development, production and purchase of clothing; in the evaluation of thermal and moisture management efficiency, multiple quantitative indicators such as moisture permeability, drying rate, thermal resistance value, and moisture resistance value are used. These indicators can objectively and accurately reflect the thermal and moisture management performance of clothing, and the tensile strength, elastic recovery rate, and tear resistance value in the evaluation of mechanical protection performance can be used to evaluate the thermal and moisture management performance of clothing. Indicators such as strength, bursting strength, abrasion resistance, as well as indicators such as antibacterial, flame retardant, antistatic, radiation resistance, and electromagnetic shielding performance in additional functional evaluation all have clear scientific basis and quantitative standards, ensuring the scientific nature of the evaluation; secondly, in the evaluation process, not only objective quantitative indicators are considered, but also subjective evaluation is combined, such as subjective evaluation of thermal and moisture management efficiency and subjective evaluation of mechanical protection performance, which can more comprehensively reflect the actual wearing experience of clothing and improve the accuracy and practicality of the evaluation; in the calculation of the comprehensive performance score, the importance of different dimensions in the comprehensive performance of clothing can be reflected through the allocation of weight values, so that the evaluation results are more in line with the actual situation and the accuracy and reliability of the evaluation are improved.

[0026] The method of the present invention is not only applicable to the comprehensive performance evaluation of ordinary clothing, but also to the performance evaluation of special-purpose clothing such as sportswear, protective clothing, etc. With the advancement of science and technology and the improvement of people's needs, the requirements for clothing performance are becoming higher and higher. The evaluation method of the present invention can meet these needs and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the present invention or 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 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.

[0028] Figure 1 A schematic flow chart of a method for evaluating comprehensive performance of clothing based on multi-dimensional evaluation provided by an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a clothing comprehensive performance evaluation device based on multi-dimensional evaluation provided by an embodiment of the present invention.

[0029] Reference numerals: 100, first evaluation module; 200, second evaluation module; 300, third evaluation module; 400, calculation module. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0031] Combine the following Figure 1 to Figure 2 Embodiments of the present invention are described.

[0032] like Figure 1 As shown, the present invention provides a method for evaluating the comprehensive performance of clothing based on multi-dimensional evaluation, comprising: S1: Evaluate the thermal and moisture management performance of the tested garments according to the thermal and moisture management performance evaluation index and obtain the first evaluation score.

[0033] Furthermore, the thermal and moisture management evaluation in step S1 takes the moisture permeability score, drying performance score, moisture resistance score, thermal resistance score, breathability score and instantaneous contact coolness score as input variables, obtains data through real-life tests and human wearing evaluations, and performs evaluation simulation with the help of random forest models, etc. Specifically, the moisture permeability evaluation simulation (obtaining data through real-life tests and human wearing evaluations, and building a model using gradient boosting regression), the drying performance evaluation simulation (through real-life tests, combining subjective and objective data to establish a multivariate regression model), the moisture resistance and thermal resistance evaluation simulation (through subjective heat and humidity perception and electric heating plate method experimental tests, and evaluation using a support vector regression model), the breathability evaluation simulation (through subjective breathability perception and high and low temperature experimental tests, and evaluation using a support vector regression model), and the instantaneous contact coolness evaluation simulation (through subjective cold and warm perception and instantaneous contact coolness experimental tests, and evaluation using a support vector regression model).

[0034] The heat and moisture management efficiency evaluation index in step S1 specifically includes: The moisture permeability is expressed as:

[0035] in, To calculate the moisture permeability, is the weight change of the same test sample, is the weight change of the same blank sample, is the effective test area, For test time.

[0036] In the above formula, the unit of water vapor permeability is gram per square meter hour [g / (m·h)] or gram per square meter 24 hours [g / (m·24h)]. It represents the difference between two weighings of the same test combination, in grams (g). It represents the difference between two weighings of the same test combination of blank samples, in grams (g). If no blank test is performed, the value is 0. The effective test area is in square meters (m²), and the test time is in hours (h).

[0037] Specifically, the calculation of moisture permeability is mainly carried out through real-life tests, such as selecting different types of clothing, using test boxes, moisture permeability cups and other equipment, and then calculating the moisture permeability according to the formula, and human wearing evaluation, that is, selecting people with different physical fitness and sweat emissions to wear tests in extreme environments, recording subjective feelings to obtain data, and finally, after the data is calculated, it is necessary to combine the relevant features into a vector, build an evaluation model with the help of gradient boosting regression, and analyze the importance of influencing factors by calculating gains or feature replacement.

[0038] We use GBR to establish the evaluation function of the moisture permeability evaluation model so that the predicted value of each sample is as close as possible to the actual moisture permeability score. First, the corresponding weight of the tree is obtained through supervised learning. In the test phase, the features are input to obtain the corresponding moisture permeability evaluation score of the clothing.

[0039] Drying rate, the expression of the drying rate is:

[0040] in, is the drying rate, is the volume of water added in the test, For drying time.

[0041] In the above formula, the unit of drying rate is milliliter per hour (mL / h), the unit of volume of water added in the test is milliliter (mL), and the unit of drying time is hour (h).

[0042] In the actual test, samples were selected according to regulations, and a variety of experimental instruments were used to determine the maximum water absorption of the samples and the drying rates under different water addition amounts. The subjective evaluation scores were collected, and a multivariate linear regression model was designed to predict the drying performance score. The influence of the factors was evaluated based on the regression coefficients, and the Pearson correlation coefficient was used to analyze the correlation between the subjective and model prediction results.

[0043] Thermal resistance value, the expression of thermal resistance value is:

[0044] in, To calculate the thermal resistance value, is the surface temperature of the test plate, is the temperature of the climate chamber, is the test plate area, is the heating power of the test panel, is the correction value, is the thermal resistance instrument constant.

[0045] Wet resistance value, the expression of the wet resistance value is:

[0046] in, To calculate the wet resistance value, is the water vapor pressure on the test plate surface, is the saturated water vapor pressure, is the humidity resistance instrument constant.

[0047] Specifically, for the determination of thermal resistance and moisture resistance, a subjective questionnaire was conducted to obtain the subjective moisture and heat perception scores of clothing in different environments, and an objective electric heating plate method experimental test was conducted to determine the relevant values ​​of thermal resistance and moisture resistance. Finally, the support vector regression model with radial basis function kernel was selected to evaluate the moisture resistance and thermal resistance performance, and the importance of the substitution importance evaluation factors was calculated.

[0048] Breathability index.

[0049] Specifically, for the breathability index, a subjective questionnaire is conducted to obtain the subjective breathability scores of clothing under different environments, and an objective high and low temperature experimental test is conducted to measure the water vapor transmission rate using a thermal and moisture impedance tester. The features are used as input, and a support vector regression model with a radial basis function kernel is selected to evaluate the breathability. The importance of the permutation importance evaluation factors is calculated. In the breathability evaluation model, a radial basis function (RBF) kernel is selected as the kernel function of the SVR to minimize the following loss function. In the test phase, given the input features, the breathability evaluation value of the clothing can be obtained.

[0050] Instant contact coolness indicator.

[0051] For the instantaneous contact coolness index, a subjective questionnaire was conducted to obtain the subjective cold and warm feeling scores of clothing in different environments, and an objective instantaneous contact coolness experimental test was conducted to determine the contact coolness coefficient. The features were used as input, and the support vector regression model with radial basis function kernel was selected to evaluate the instantaneous contact coolness, and the importance of the permutation importance evaluation factors was calculated.

[0052] Instant contact coolness coefficient calculation formula:

[0053] in, Indicates the change in contact time between the hot key side plate and the sample (s), Indicates the temperature change of the copper plate of the heat detection board (℃), is the experimental plate area ( ), is the specific heat capacity, is the heat (J).

[0054] In step S1, the moisture permeability score, drying performance score, moisture resistance score, thermal resistance score, breathability score and instantaneous contact coolness score are used as input variables to obtain the objective score, and the user's overall subjective score of the clothing is obtained through a questionnaire, and a random forest model is designed for clothing evaluation simulation.

[0055] S2: Evaluate the mechanical protection performance of the tested garment according to the mechanical protection performance index and obtain the second evaluation score.

[0056] Furthermore, the mechanical protection effectiveness evaluation takes the tensile strength score, elastic recovery rate score, tear strength score, bursting strength score, abrasion resistance score and the subjective perception score of mechanical protection effectiveness as basic input elements, obtains data through corresponding testing equipment, and designs random forest models to learn and evaluate the scoring models. For example, the tensile strength is evaluated by testing with an electronic universal testing machine and constructing an evaluation model, the elastic recovery rate is evaluated by measuring with hangers and weights and establishing a model, the tear strength is evaluated by specific testing methods and analytical modeling, the bursting strength is evaluated by measuring with a constant-speed elongation tester and a bursting device, the wear resistance is evaluated by using an abrasion testing machine, and the subjective perception of mechanical effectiveness is evaluated through questionnaires and random forest models.

[0057] The mechanical protection performance index in step S2 specifically includes: Tensile strength index, elastic recovery rate, tear strength, bursting strength, and abrasion resistance index.

[0058] Furthermore, for the above-mentioned tensile strength index, the tensile strength and elongation at break of each component of the clothing (sleeves, collars, body, etc.) under different environments are mainly measured using an electronic universal testing machine; for the elastic recovery rate, the elastic recovery rate and plastic deformation rate of the transverse and vertical materials of the clothing under different environments are measured using hangers and weights, which are first standardized, and then an elastic recovery rate index evaluation model is constructed as a weighted combination of the standardized elastic recovery rate and plastic deformation rate to obtain an overall elastic recovery rate score, providing a basis for clothing design improvements; for tear strength, the sample is fixed on an iron clamp for a tear test to measure the tear strength of the vertical and transverse materials For the degree, the test results are analyzed, scored and modeled to obtain the tear strength performance score, which provides a basis for clothing design improvement; for the bursting strength, the clothing body is selected, and the bursting strength is measured using a constant-speed elongation tester and a bursting device. The test is repeated to obtain multiple values, and the average value and coefficient of variation (if necessary) are calculated. Different garments are scored and ranked, and the bursting strength range is calibrated. The test results are analyzed, scored and modeled to provide a basis for design improvement; for wear resistance, different generations of clothing prone to wear parts are selected, and an abrasion testing machine is used to measure the wear amount, wear layer thickness and number of wear times. The test results are analyzed, scored and modeled to obtain the wear resistance score, which provides a basis for clothing design improvement.

[0059] In this stage, for each of the above mechanical protection performance indicators, variables need to be used to construct an anti-stretching evaluation model for scoring calculation. The specific expression of the anti-stretching evaluation model is as follows:

[0060] in, To construct a tensile strength evaluation model, is the number of tensile strength tests, is the number of elongation at break tests, is the index value of the number of tensile strength tests, is the index value of the number of elongation at break tests, Indicates the rating of a garment component in a specific environment and is defined as a weighted combination of normalized tensile strength and elongation at break.

[0061] Then, it is necessary to design a questionnaire on the subjective perception of mechanical performance, that is, select a variety of clothing models, let different people participate in feature scoring and divide the importance, establish a sample set based on the survey results, and then evaluate the feature importance by calculating the contribution of the feature in the tree splitting to provide a reference for clothing design.

[0062] In step S2, the tensile strength score, elastic recovery rate score, tear strength score, bursting strength score, abrasion resistance score and subjective score of mechanical protection effectiveness are finally used as basic input elements to design a random forest model to learn the mechanical protection effectiveness score model and estimate the mechanical protection effectiveness score of the clothing.

[0063] S3: Evaluate the additional functions of the tested garments according to the additional function indicators to obtain the third evaluation score.

[0064] Furthermore, the additional function evaluation takes antibacterial property, flame retardancy, antistatic property, radiation resistance and electromagnetic shielding performance as basic input elements, obtains data through specified detection indicators and methods, and designs models for scoring. For example, the antibacterial evaluation specifies safety and hygiene requirements and detection indicators and methods. The flame retardancy evaluation uses a vertical burning test machine to measure relevant indicators and build models. The antistatic evaluation specifies point-to-point resistance and charged charge test indicators and methods. The radiation resistance evaluation measures relevant parameters through UV ray radiation and calculates the score. The electromagnetic shielding performance evaluation uses the transmission line method to test and calculate the score based on the principle of electromagnetic wave shielding.

[0065] The additional function indicators in step S3 include: Antibacterial index.

[0066] The safety and hygiene requirements for antimicrobial textiles are specified, including detection indicators and methods such as antimicrobial substance dissolution, toxicological indicators, and skin flora. Corresponding tests are carried out (such as antimicrobial substance dissolution detection by measuring the width of the inhibition zone, toxicological indicators are tested through multiple tests such as animal acute skin irritation test and skin allergy test, and skin flora is sampled and detected and calculated at specific locations). The comprehensive antimicrobial score of the clothing is calculated based on the test results. The scoring model participates in the anti-stretching evaluation scheme in step S2 to provide protection for the safety of antimicrobial textiles.

[0067] The specific colony count calculation formula is as follows:

[0068] in, for The number of Propionibacterium detected in the epidermal samples, the unit is the total number of colonies per square centimeter ( ), is the colony count, is the dilution factor, is the sampling area in square centimeters ( ).

[0069] Flame retardancy index.

[0070] Specifically, for the flame retardancy index, the sleeves, collar and body of the clothing were selected, and the burning time, carbonization length and extinction time and other indicators were measured using a vertical burning test machine. The test results were analyzed and scored and modeled (the scoring model participated in the anti-stretching evaluation program) to obtain the flame retardancy score and calibrate the flame retardancy range to provide a basis for design improvements.

[0071] Antistatic index.

[0072] Specifically, for anti-static indicators, anti-static performance test indicators (point-to-point resistance, charged charge test) and methods are specified, including test environment requirements, electrode equipment, measuring instruments, test procedures, etc., and analysis and scoring modeling are carried out based on the test data (the scoring model participates in the tensile strength evaluation program) to obtain the anti-static performance score and calibrate the anti-static performance range to provide a basis for design improvements.

[0073] Radiation resistance index.

[0074] Specifically, for the radiation resistance index, use UV rays to irradiate the sample, collect the transmitted light, measure the spectral transmittance and calculate the UPF value, specify the sampling, humidity adjustment, testing and calculation methods, evaluate the protection level according to the calculation results, mark the relevant information, and directly select the ultraviolet protection factor value for scoring, which provides a basis for evaluating the fabric's performance in protecting against sunlight ultraviolet rays.

[0075] The radiation resistance index is tested by UVA value, UVB value and UPF value, and the expression of the UVA value is:

[0076] in, For the sample UVA value, is the wavelength, is the number of measurements at wavelengths between 315nm and 400nm. For the sample Spectral transmittance at the corresponding wavelength; The expression of the UVB value is:

[0077] in, For the sample UVB value, The number of measurements at wavelengths between 280nm and 315nm; The expression of the UPF value is:

[0078] in, For the sample UPF value, is the sunlight spectral irradiance, is the relative erythema effect, is the wavelength interval, The wavelength is Spectral transmittance at ; Electromagnetic shielding performance index, the expression of the electromagnetic shielding performance index is:

[0079] in, is the electromagnetic shielding performance index value, is the incident electromagnetic field intensity, is the electromagnetic field strength after passing through multiple layers of samples.

[0080] Specifically, for the electromagnetic shielding performance index, based on the principle of electromagnetic wave shielding, the transmission line method is used for testing. The sample is placed in a resonant cavity, and the change in electromagnetic field intensity is measured to calculate the shielding effectiveness. The test is repeated many times to ensure accuracy. After the test data is processed, a weighted average is taken according to the shielding effectiveness value and used as the electromagnetic shielding performance score of the textile.

[0081] In step S3, antibacterial property, flame retardancy, antistatic property, radiation resistance and electromagnetic shielding performance are finally used as basic input elements. Based on the above information, a multivariate linear combination scoring model is designed to learn and estimate the additional function score of the clothing.

[0082] S4: Calculate the comprehensive performance score of the garment to be tested according to the first evaluation score, the second evaluation score, and the third evaluation score.

[0083] The expression of the comprehensive performance score in step S4 is:

[0084] in, To calculate the overall performance score, Score for the first review, is the weight value corresponding to the first evaluation score, Score for the second review, is the weight value corresponding to the second evaluation score, For the third evaluation score, is the weight value corresponding to the third evaluation score.

[0085] After steps S1 to S3, a comprehensive evaluation model for clothing is established in step S4. Taking the comprehensive performance score of clothing as the goal, a multivariate linear regression model is constructed through the thermal and moisture management performance evaluation value C, the mechanical protection performance evaluation value P, and the additional function evaluation value S. is 0.3, is 0.4, The value is 0.4, which is used to quantify the comprehensive performance of clothing in different dimensions and provide a scientific basis for product design and optimization.

[0086] like Figure 2 As shown, the present invention also provides a clothing comprehensive performance evaluation device based on multi-dimensional evaluation, comprising: The first evaluation module 100 is used to perform a heat and moisture management efficiency evaluation simulation on the tested garment according to the heat and moisture management efficiency evaluation index to obtain a first evaluation score; The second evaluation module 200 is used to simulate the mechanical protection performance of the tested garment according to the mechanical protection performance index to obtain a second evaluation score; The third evaluation module 300 is used to perform additional function simulation on the tested garment according to the additional function index to obtain a third evaluation score; Calculation module 400: used to calculate the comprehensive performance score of the garment to be tested according to the first evaluation score, the second evaluation score and the third evaluation score.

[0087] The present invention also provides a clothing comprehensive performance evaluation device based on multi-dimensional evaluation, comprising: A memory and at least one processor, wherein instructions are stored in the memory; At least one of the processors calls the instructions in the memory so that the clothing comprehensive performance evaluation device based on multi-dimensional evaluation executes the clothing comprehensive performance evaluation method based on multi-dimensional evaluation as described in any one of the above.

[0088] The present invention also provides a computer-readable storage medium, on which instructions are stored. When the instructions are executed by a processor, the method for evaluating comprehensive performance of clothing based on multi-dimensional evaluation as described in any one of the above items is implemented.

[0089] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0090] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0091] The invention provides a method, device, equipment and storage medium for comprehensive clothing performance evaluation based on multi-dimensional evaluation, which aims to solve the following problems existing in the existing clothing performance evaluation technology: overcome the limitation of the existing technology that only focuses on a single performance indicator, establish a comprehensive clothing performance evaluation system, covering multiple dimensions such as thermal and moisture management, mechanical protection and additional functions, so as to more accurately reflect the overall performance of clothing; solve the problem that subjective feelings and objective test results are difficult to effectively integrate, and through the reasonable design of evaluation methods and models, subjective evaluation and objective data complement each other, so as to provide a more comprehensive and accurate basis for clothing performance evaluation; improve the existing evaluation model in dealing with complex nonlinear relationships In order to solve the problem of insufficient management ability, more advanced machine learning algorithms are used to build models to improve the accuracy of clothing performance evaluation and prediction, thereby providing reliable guidance for product design and optimization; in view of the incomplete evaluation and testing of additional functions of clothing and the inconsistent standards, a comprehensive and standardized additional function evaluation plan is formulated, including antibacterial, flame retardant, antistatic, radiation resistance and electromagnetic shielding performance, to ensure that the quality and safety of functional clothing are accurately evaluated; the impact of different environmental conditions on clothing performance is incorporated into the evaluation system, so that the evaluation results can more truly reflect the performance of clothing in the actual use environment, and meet consumers' demand for clothing performance in various complex environments.

[0092] The present invention provides a method, device, equipment and storage medium for evaluating the comprehensive performance of clothing based on multi-dimensional evaluation. In terms of heat and moisture management, various performance evaluation indicators are refined. For example, the moisture permeability evaluation obtains multi-dimensional data (including subject information, environmental conditions, subjective feelings, etc.) through real-life tests and human wearing evaluations, so that the moisture permeability evaluation is more in line with the actual wearing situation; the drying performance evaluation combines subjective questionnaires with objective test data to establish a multivariate regression model, and deeply analyzes the influencing factors; the moisture resistance and thermal resistance, air permeability, and instantaneous contact coolness evaluation are all combined with subjective and objective tests and advanced models to make the evaluation results more accurate and comprehensive; in the mechanical protection effectiveness evaluation, the test method for each mechanical performance indicator (stretch resistance, elastic recovery rate, tear strength, bursting strength, abrasion resistance) is detailed and standardized, and different clothing parts are tested and ranked independently, which can accurately locate the advantages and disadvantages of the mechanical performance of each part of the clothing, providing a clear direction for improvement; additional In the functional evaluation, the detection indicators and methods of various functions (antibacterial properties, flame retardancy, antistatic properties, radiation resistance, and electromagnetic shielding performance) are clear and specific, in line with relevant standards and specifications, to ensure that the test results are scientific and reliable. For example, antibacterial testing covers multiple safety indicators and detailed testing procedures, providing comprehensive protection for the safety of antibacterial textiles; in the evaluation of thermal and moisture management and mechanical protection effectiveness, appropriate machine learning models (such as random forests, gradient boosting regression, support vector regression, etc.) are selected according to different evaluation contents. These models have advantages in processing complex data relationships and improving prediction accuracy and robustness, and are more scientific and effective than traditional evaluation methods. In the model training process, emphasis is placed on the analysis of feature importance (such as through calculation of gain, permutation importance, etc.), which can identify the degree of influence of each evaluation factor on clothing performance, provide important reference basis for optimizing models and improving clothing design, and make the evaluation process more targeted and scientific.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A clothing comprehensive performance evaluation method based on multi-dimensional evaluation, characterized in that: include: S1: Evaluate the thermal and moisture management efficiency of the tested garment according to the thermal and moisture management efficiency evaluation index and obtain the first evaluation score; S2: Evaluate the mechanical protection performance of the tested garment according to the mechanical protection performance index and obtain the second evaluation score; S3: Evaluate the additional functions of the tested garments according to the additional function indicators and obtain the third evaluation score; S4: Calculate the comprehensive performance score of the garment to be tested according to the first evaluation score, the second evaluation score, and the third evaluation score.

2. The method for comprehensive performance evaluation of clothing based on multi-dimensional evaluation according to claim 1, characterized in that: The heat and moisture management efficiency evaluation index in step S1 specifically includes: The moisture permeability is expressed as: in, To calculate the moisture permeability, is the weight change of the same test sample, is the weight change of the same blank sample, is the effective test area, For the test time; Drying rate, the expression of the drying rate is: in, is the drying rate, is the volume of water added in the test, is the drying time; Thermal resistance value, the expression of thermal resistance value is: in, To calculate the thermal resistance value, is the surface temperature of the test plate, is the climate chamber temperature, is the test plate area, is the heating power of the test panel, is the correction value, is the thermal resistance instrument constant; Wet resistance value, the expression of the wet resistance value is: in, To calculate the wet resistance value, is the water vapor pressure on the test plate surface, is the saturated water vapor pressure, is the humidity resistance instrument constant; Breathability index; Instant contact coolness indicator.

3. The method for comprehensive performance evaluation of clothing based on multi-dimensional evaluation according to claim 1, characterized in that: The mechanical protection performance index in step S2 specifically includes: Tensile strength index, elastic recovery rate, tear strength, bursting strength, and abrasion resistance index.

4. The method for comprehensive performance evaluation of clothing based on multi-dimensional evaluation according to claim 1, characterized in that: The additional function indicators in step S3 include: Antimicrobial index; Flame retardancy index; Antistatic index; Radiation resistance index; Electromagnetic shielding performance index, the expression of the electromagnetic shielding performance index is: in, is the electromagnetic shielding performance index value, is the incident electromagnetic field intensity, is the electromagnetic field strength after passing through multiple layers of samples.

5. The method for comprehensive performance evaluation of clothing based on multi-dimensional evaluation according to claim 4 is characterized in that: The radiation resistance index is tested by UVA value, UVB value and UPF value, and the expression of the UVA value is: in, For the sample UVA value, is the wavelength, is the number of measurements at wavelengths between 315nm and 400nm. For the sample Spectral transmittance at the corresponding wavelength; The expression of the UVB value is: in, For the sample UVB value, The number of measurements at wavelengths between 280nm and 315nm; The expression of the UPF value is: in, For the sample UPF value, is the sunlight spectral irradiance, is the relative erythema effect, is the wavelength interval, The wavelength is Spectral transmittance at .

6. The method for comprehensive clothing performance evaluation based on multi-dimensional evaluation according to claim 1, characterized in that: The first evaluation score is the objective score corresponding to the thermal and moisture management efficiency evaluation index and the subjective score of the subjective evaluation of the thermal and moisture management efficiency. The second evaluation score is the objective score corresponding to the mechanical protection performance index and the subjective score of the subjective evaluation of the mechanical protection performance.

7. The method for comprehensive performance evaluation of clothing based on multi-dimensional evaluation according to claim 1, characterized in that: The expression of the comprehensive performance score in step S4 is: in, To calculate the overall performance score, Score for the first review, is the weight value corresponding to the first evaluation score, Score for the second review, is the weight value corresponding to the second evaluation score, For the third evaluation score, is the weight value corresponding to the third evaluation score.

8. A clothing comprehensive performance evaluation device based on multi-dimensional evaluation, characterized in that: include: The first evaluation module is used to evaluate the heat and moisture management efficiency of the tested garment according to the heat and moisture management efficiency evaluation index to obtain the first evaluation score; The second evaluation module is used to evaluate the mechanical protection performance of the tested clothing according to the mechanical protection performance index and obtain the second evaluation score; The third evaluation module: used to evaluate the additional functions of the tested garments according to the additional function indicators and obtain the third evaluation score; Calculation module: used for calculating the comprehensive performance score of the garment to be tested according to the first evaluation score, the second evaluation score and the third evaluation score.

9. A clothing comprehensive performance evaluation device based on multi-dimensional evaluation, characterized in that: include: A memory and at least one processor, wherein instructions are stored in the memory; At least one of the processors calls the instructions in the memory so that the clothing comprehensive performance evaluation device based on multi-dimensional evaluation executes the clothing comprehensive performance evaluation method based on multi-dimensional evaluation as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed by the processor, the method for evaluating comprehensive performance of clothing based on multi-dimensional evaluation according to any one of claims 1 to 7 is implemented.

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