A smart testing system for the instantaneous cooling performance of fabrics

Abstract

This application provides an intelligent testing system for the instantaneous cooling performance of fabrics, relating to the field of fabric performance testing technology. It includes an environmental configuration module, a constant temperature heat source module, a dynamic contact testing module, a cooling sensation differentiation module, and a comprehensive result output module. The cooling sensation differentiation module is used to construct instantaneous and continuous cooling sensation partitions based on contact data and a dynamic partitioning algorithm, and calculate instantaneous and continuous cooling sensation feature values. The comprehensive result output module calculates the comprehensive cooling sensation index of the fabric sample by comprehensively calculating the instantaneous and continuous cooling sensation feature values. An individual cooling sensation adaptation module is used to perform cooling sensation matching analysis and adaptation evaluation based on the comprehensive cooling sensation index and the individual difference parameters of the target user. This application obtains a more targeted and phase-discriminatory quantitative description of cooling sensation performance by automatically distinguishing between instantaneous and continuous cooling sensation, and adds an individual cooling sensation adaptation mechanism to provide applicability judgment for different user groups.

Description

Technical Field

[0001] This application relates to the field of fabric performance testing technology, specifically to an intelligent testing system for the instantaneous cooling performance of fabrics. Background Technology

[0002] In the research and evaluation of functional fabrics, the cooling performance of fabrics, as an important indicator affecting wearing comfort, is gradually becoming one of the important parameters in fields such as outdoor sports, quick-drying clothing and high-temperature work clothes.

[0003] Traditional methods for testing cooling performance are mostly based on static indicators such as instantaneous thermal conductivity and instantaneous temperature difference upon contact, which are difficult to fully reflect the cooling performance during the actual dynamic contact process between the fabric and the skin.

[0004] Meanwhile, with the increasing demand for personalized consumption, the differences in perceived temperature, heat sensitivity, and cooling experience among different groups in various application scenarios have also become key considerations.

[0005] Existing technologies still have the following shortcomings in the testing of cooling performance:

[0006] Firstly, when detecting changes in heat flow during dynamic contact between fabric and heat source, the relevant technologies cannot accurately distinguish and quantify the fabric's "instant cooling sensation" and "continuous cooling sensation," making it difficult to reproduce the actual feeling of wearing the fabric.

[0007] Secondly, existing systems generally lack the function of intelligently adapting cooling test results to individual users, and cannot output personalized cooling adaptation results based on individual physiological parameters, resulting in fabric evaluation results that lack pertinence and application guidance value.

[0008] Therefore, there is an urgent need to develop an intelligent testing system for the instantaneous cooling performance of fabrics. Summary of the Invention

[0009] This application provides an intelligent testing system for the instantaneous cooling performance of fabrics, which aims to solve the problem in related technologies that it is impossible to accurately classify and quantify the "instantaneous cooling" and "continuous cooling" performance of fabrics, and avoid the problem that fabrics cannot be intelligently adapted to individual users.

[0010] To achieve the above objectives, this application provides an intelligent testing system for the instantaneous cooling performance of fabrics, characterized in that it includes an environment configuration module, a constant temperature heat source module, a dynamic contact testing module, a cooling sensation discrimination module, and a comprehensive result output module.

[0011] The environment configuration module is used to configure the test environment parameters and fabric samples. The test environment parameters include ambient temperature and ambient humidity.

[0012] The constant temperature heat source module is used to set a constant temperature heat source, and a heat flow sensor array is uniformly embedded on the bottom outer surface of the constant temperature heat source.

[0013] The dynamic contact test module is used to drive a constant-temperature heat source at a constant speed along the track to slide into contact with the outer surface of the fabric sample, and to acquire contact data during the sliding contact process through a heat flow sensor array.

[0014] The cooling sensation differentiation module is used to construct instantaneous cooling sensation and continuous cooling sensation partitions based on contact data and dynamic partitioning algorithms, and to calculate instantaneous cooling sensation feature values ​​and continuous cooling sensation feature values.

[0015] The comprehensive results output module calculates the comprehensive cooling index of the fabric sample by combining the instantaneous cooling characteristic value and the continuous cooling characteristic value.

[0016] Preferably, the environment configuration module includes an environment parameter control unit, a fabric pretreatment unit, and a fabric fixing unit, specifically:

[0017] The environmental parameter control unit is used to set the ambient temperature and humidity in the test environment and monitor changes in ambient temperature and humidity in real time through an integrated temperature and humidity sensor; the fabric pretreatment unit is used to cut the fabric sample to the size to be tested and to place the fabric in the test environment for a preset time; the fabric fixing unit is used to tension and fix the fabric sample.

[0018] Preferably, the step of uniformly embedding a heat flow sensor array on the bottom outer surface of the constant temperature heat source specifically includes:

[0019] The constant temperature heat source consists of a uniform temperature heat-conducting plate, a heating component, and a constant temperature control unit. The heat flow sensor array is embedded on the bottom outer surface of the uniform temperature heat-conducting plate and is arranged in an 8-row × 8-column two-dimensional matrix array. Each heat flow sensor works independently and collects the heat flow density value of the corresponding contact point. Each heat flow sensor has a unified time synchronization identification mechanism to construct complete space-time heat flow distribution data.

[0020] Preferably, a constant-temperature heat source is driven at a uniform speed along a track to slide into contact with the outer surface of the fabric sample. Contact data is acquired during the sliding contact process using a heat flow sensor array, specifically including:

[0021] A linear slide rail is set in the test environment, and the path of the linear slide rail coincides with the effective test area of ​​the fabric sample in space. The start and end points of the slide rail cover the entire length of the fabric sample. A servo drive component is connected between the constant temperature heat source and the linear slide rail. A fixed drive speed is set for the servo drive component. The servo drive component is activated according to the fixed drive speed. The servo drive component will drive the constant temperature heat source along the linear slide rail path at a constant speed. The constant temperature heat source will maintain continuous contact with the outer surface of the fabric sample during the sliding process. The heat flow sensor array embedded on the bottom outer surface of the constant temperature heat source will synchronously collect contact data at each sampling point in the contact area.

[0022] Preferably, the instantaneous cooling sensation and continuous cooling sensation are divided into zones based on contact data and a dynamic zoning algorithm, specifically including:

[0023] Extract the heat flux density value of each sampling point from the contact data, and construct a time series of the heat flux density value of each sampling point. and the time series of heat flux density values Perform first derivative calculations to obtain the heat flux density change rate curve. .

[0024] A dynamic partitioning algorithm is applied to dynamically partition the heat flux density change rate curve. The dynamic partitioning includes a first partition and a second partition.

[0025] The first partition is the instantaneous cooling partition, which is partitioned by taking the first local maximum point in the heat flux density change rate curve. The time corresponding to the first local maximum point is defined as the end time of the instantaneous cooling phase. ,Will The interval is defined as the instantaneous cooling zone.

[0026] The second partition is a continuous cooling partition, which is reduced to its maximum value by taking the derivative value. The following time points remain stable. Used to indicate the start of the sustained cooling phase. The interval is defined as a continuous cooling zone, the This is the moment when the contact with the heat source ends.

[0027] The instantaneous cooling sensation value and the continuous cooling sensation value are divided according to the first and second partitions.

[0028] Preferably, the calculation of instantaneous cooling characteristic values ​​and continuous cooling characteristic values ​​specifically includes:

[0029] The instantaneous cooling characteristic value is calculated using the following formula:

[0030]

[0031] In the formula, The curve shows the rate of change of heat flux density. This represents the instantaneous cooling sensation characteristic value of the fabric sample in the initial stage of contact with the heat source. This indicates the zones that provide an instant cooling sensation.

[0032] The characteristic value of sustained cooling sensation is calculated according to the following formula:

[0033]

[0034] In the formula, This represents the sustained cooling characteristic value of the fabric sample during the continuous contact with the heat source. The curve shows the rate of change of heat flux density. This indicates the point in time when the rate of change of heat flux density drops to below 20% of the maximum derivative and remains stable, used to calibrate the start time of the continuous cooling phase; This indicates the moment when the fabric sample ceases contact with the heat source.

[0035] Preferably, the comprehensive cooling index of the fabric sample is calculated by comprehensively calculating the instantaneous cooling characteristic value and the sustained cooling characteristic value, specifically including:

[0036] Based on instantaneous cooling characteristic value With continuous cooling characteristic value The overall cooling index is calculated as follows:

[0037]

[0038] In the formula, Indicates the overall cooling index of the fabric sample; This represents the instantaneous cooling sensation characteristic value of the fabric sample during the initial contact phase with the heat source; This represents the characteristic value of the continuous cooling sensation of the fabric sample during the continuous contact phase; This represents the weighting coefficient for the instantaneous cooling sensation. This represents the weighting coefficient for the sustained cooling sensation.

[0039] Preferably, an intelligent testing system for the instantaneous cooling performance of fabrics further includes an individual cooling adaptation module, used to perform cooling matching analysis and adaptation evaluation based on the comprehensive cooling index and individual difference parameters of the target user, specifically including:

[0040] Obtain individual difference parameter information of the target user, including gender, basal metabolic rate, body part heat sensitivity, exercise intensity level, and ambient temperature and humidity conditions; perform joint analysis with the comprehensive cooling index and the individual difference parameters, and output the cooling compatibility level between the fabric sample and the target user based on the joint analysis results. The compatibility level is used to determine whether the fabric sample is suitable for the target user to use in a specified scenario.

[0041] Preferably, the overall cooling index is used to calculate a cooling adaptation score based on the individual difference parameters, specifically including:

[0042] The overall cooling index Individual difference parameter vector of the target user Perform joint input and establish a cooling adaptation function. The cooling sensation adaptation function is then used to output the cooling sensation adaptation score. Specifically:

[0043]

[0044] In the formula, Indicates the overall cooling sensation index. This represents standardized individual difference parameters; The weighting coefficients for the cooling sensation index and each difference parameter are preset based on historical cooling sensation score data; This is a bias term used to fit the nonlinear factors in an individual's subjective cooling sensation rating; This represents the cooling adaptation function. The score indicates the degree of coolness matching.

[0045] The beneficial effects of this application are as follows:

[0046] 1. By employing dynamic contact testing combining a constant-temperature heat source and a heat flow sensor array, uniform linear contact between the fabric sample and the heat source surface is achieved under constant environmental parameter control. Combined with a dynamic partitioning algorithm to structurally divide the heat flow change process, the system can automatically distinguish the heat exchange characteristics of the fabric in the initial contact stage and the continuous contact stage, and calculate the instantaneous cooling characteristic value and the continuous cooling characteristic value respectively. This provides a more targeted and stage-discriminatory quantitative description of the cooling performance, effectively avoiding the information loss problem caused by traditional methods that use a single thermal parameter as the evaluation basis.

[0047] 2. Based on the extraction of cooling sensation features, the system further introduces an individual cooling sensation adaptation module. By integrating user parameters, it conducts a comprehensive adaptation analysis and outputs a cooling sensation matching level for specific groups and application scenarios. The individual cooling sensation adaptation mechanism enables the test results to not only have general quantitative indicators, but also to provide fabric suitability judgments for different user groups, thereby improving the adaptability and reference value of cooling sensation performance testing in practical use guidance.

[0048] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0049] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is an overall framework diagram of an intelligent testing system for the instantaneous cooling performance of fabrics, provided in an embodiment of this application. Detailed Implementation

[0051] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0052] Please see Figure 1 , Figure 1 This application provides an overall framework diagram of an intelligent testing system for the instantaneous cooling performance of fabrics.

[0053] In this embodiment, an intelligent testing system for the instantaneous cooling performance of fabrics includes an environmental configuration module, a constant temperature heat source module, a dynamic contact testing module, a cooling sensation discrimination module, and a comprehensive result output module.

[0054] The environment configuration module is used to configure test environment parameters and fabric samples. The test environment parameters include ambient temperature and humidity. The environment configuration module includes an environment parameter control unit, a fabric pretreatment unit, and a fabric fixing unit, specifically:

[0055] The environmental parameter control unit is used to set the ambient temperature and humidity in the test environment and monitor changes in ambient temperature and humidity in real time through an integrated temperature and humidity sensor; the fabric pretreatment unit is used to cut the fabric sample to the size to be tested and to place the fabric sample in the test environment for a preset time; the fabric fixing unit is used to tension and fix the fabric sample.

[0056] It should be noted that the ambient temperature in the test environment is 25.0±0.5℃, and the ambient humidity is 65%±2%; the size to be tested is a standard size of 100mm×100mm, and the preset resting time is more than 24 hours. Extending the pre-testing time to more than 24 hours ensures that the thermal and moisture state of the fabric sample reaches a balanced state with the environment; the fabric fixing unit, together with the constant pressure locking machine, realizes the flat tension of the fabric surface, preventing warping, slippage or wrinkling during the test, thereby ensuring the uniformity and repeatability of the heat source contact process. Specifically, after the edge of the fabric sample is fixed in the set position, the pressing device of the constant pressure locking machine will automatically press down under the preset pressure value to realize the tension of the fabric along the X-axis and Y-axis. After tensioning, the locking machine automatically maintains a constant pressing state to ensure that the fabric surface is always in a flat tension state throughout the entire test cycle.

[0057] It should be noted that the constant pressure locking machine is a common standardized clamping device in this field, widely used in fabric testing and film testing. Its structure and working method are generally understood by technical personnel, so its specific structure and internal implementation process will not be described in detail in this manual.

[0058] A constant-temperature heat source module is used to set up a constant-temperature heat source, and a heat flow sensor array is uniformly embedded on the bottom outer surface of the constant-temperature heat source, specifically including:

[0059] The constant temperature heat source consists of a uniform temperature heat-conducting plate, a heating component, and a constant temperature control unit. The heat flow sensor array is embedded on the bottom outer surface of the uniform temperature heat-conducting plate and is arranged in an 8-row × 8-column two-dimensional matrix array. Each heat flow sensor works independently and collects the heat flow density value of the corresponding contact point. Each heat flow sensor has a unified time synchronization identification mechanism to construct complete space-time heat flow distribution data.

[0060] It should be noted that the constant temperature control unit is used to control the heating component to stably output the set temperature through a closed-loop temperature control circuit; the heating component is a flexible thin-film heater, which is set on the top of the heat-conducting plate to achieve uniform heat distribution. The flexible thin-film heater provides heat through the principle of surface resistance heating, and the current and temperature status are fed back through multi-point thermistors to support the real-time adjustment of the constant temperature control unit; the heat-conducting plate is set at the bottom of the heating component to provide a direct thermal contact surface with the fabric sample.

[0061] It should be noted that the flexible thin film heater, the uniform heat conduction plate, and the constant temperature control unit are all standard components widely used in this field. Their structural design and control logic are generally understood by relevant technical personnel, and their detailed structure and principles will not be explained here.

[0062] The dynamic contact testing module is used to drive a constant-temperature heat source at a uniform speed along a track to slide into contact with the outer surface of a fabric sample. Contact data is acquired during the sliding contact process via a heat flow sensor array, specifically including:

[0063] A linear slide rail is set in the test environment, and the path of the linear slide rail coincides with the effective test area of ​​the fabric sample in space. The start and end points of the slide rail cover the entire length of the fabric sample. A servo drive component is connected between the constant temperature heat source and the linear slide rail. A fixed drive speed is set for the servo drive component. The servo drive component is activated according to the fixed drive speed. The servo drive component will drive the constant temperature heat source along the linear slide rail path at a constant speed. The constant temperature heat source will maintain continuous contact with the outer surface of the fabric sample during the sliding process. The heat flow sensor array embedded on the bottom outer surface of the constant temperature heat source will synchronously collect contact data at each sampling point in the contact area.

[0064] It should be noted that the linear slide rail adopts a high-precision guide rail structure and is integrated with the horizontal leveling platform to ensure that the constant temperature heat source maintains a stable posture and balanced contact pressure during the sliding process; the slide rail path is set to coincide with the effective test area of ​​the fabric sample, ensuring that the heat source sliding trajectory completely covers the test area of ​​the fabric sample, avoiding omissions or boundary offsets in test data; the servo drive component consists of a stepper motor, a reduction mechanism and a displacement feedback unit, and is set to a fixed drive speed of 10mm / s through a programmed control system, and the sliding distance and speed stability are monitored in real time.

[0065] The cooling sensation differentiation module is used to construct instantaneous cooling sensation and continuous cooling sensation partitions based on contact data and a dynamic partitioning algorithm, and to calculate instantaneous cooling sensation feature values ​​and continuous cooling sensation feature values. The construction of instantaneous cooling sensation and continuous cooling sensation partitions based on contact data and a dynamic partitioning algorithm specifically includes:

[0066] Extract the heat flux density value of each sampling point from the contact data, and construct a time series of the heat flux density value of each sampling point. and the time series of heat flux density values Perform first derivative calculations to obtain the heat flux density change rate curve. .

[0067] A dynamic partitioning algorithm is applied to dynamically partition the heat flux density change rate curve. The dynamic partitioning includes a first partition and a second partition.

[0068] The first partition is the instantaneous cooling partition, which is partitioned by taking the first local maximum point in the heat flux density change rate curve. The time corresponding to the first local maximum point is defined as the end time of the instantaneous cooling phase. ,Will The interval is defined as the instantaneous cooling zone.

[0069] It should be noted that the identification of the local maxima is based on a sliding window judgment mechanism, that is, within a window interval centered on the current time, if the corresponding local maximum point is... If the value is greater than all points before and after it, it is considered a local maximum. The sliding window judgment mechanism can effectively identify the first peak value of the fabric sample in response to thermal stimulation in actual testing, and is used to delineate the termination boundary of the instantaneous cooling stage.

[0070] The second partition is a continuous cooling partition, which is reduced to its maximum value by taking the derivative value. The following time points remain stable. Used to indicate the start of the sustained cooling phase. The interval is defined as a continuous cooling zone, the This is the moment when the contact with the heat source ends.

[0071] It should be noted that the starting time of the continuous cooling zone... Defined as The system employs rolling mean and variance detection algorithms to ensure the stability and representativeness of the identified time points, where the value drops below 20% of the maximum derivative and remains stable for more than 3 seconds.

[0072] The instantaneous cooling sensation value and the continuous cooling sensation value are divided according to the first and second partitions.

[0073] It should be noted that the calculation of instantaneous cooling characteristic values ​​and continuous cooling characteristic values ​​specifically includes:

[0074] The instantaneous cooling characteristic value is calculated using the following formula:

[0075]

[0076] In the formula, The curve shows the rate of change of heat flux density. This represents the instantaneous cooling sensation characteristic value of the fabric sample in the initial stage of contact with the heat source. This indicates the zones that provide an instant cooling sensation.

[0077] The characteristic value of sustained cooling sensation is calculated according to the following formula:

[0078]

[0079] In the formula, This represents the sustained cooling characteristic value of the fabric sample during the continuous contact with the heat source. The curve shows the rate of change of heat flux density. This indicates the point in time when the rate of change of heat flux density drops to below 20% of the maximum derivative and remains stable, used to calibrate the start time of the continuous cooling phase; This indicates the moment when the fabric sample ceases contact with the heat source.

[0080] The comprehensive results output module calculates the comprehensive cooling index of the fabric sample by combining the instantaneous cooling characteristic value and the sustained cooling characteristic value, specifically including:

[0081] Based on instantaneous cooling characteristic value With continuous cooling characteristic value The overall cooling index is calculated as follows:

[0082]

[0083] In the formula, Indicates the overall cooling index of the fabric sample; This represents the instantaneous cooling sensation characteristic value of the fabric sample during the initial contact phase with the heat source; This represents the characteristic value of the continuous cooling sensation of the fabric sample during the continuous contact phase; This represents the weighting coefficient for the instantaneous cooling sensation. This represents the weighting coefficient for the sustained cooling sensation.

[0084] It should be noted that the range of values ​​must satisfy the following conditions. The weighting coefficients can be set according to the target application scenario or adaptively adjusted by the training model.

[0085] A smart testing system for the instantaneous cooling performance of fabrics also includes an individual cooling adaptation module, used to perform cooling matching analysis and adaptation evaluation based on the comprehensive cooling index and individual difference parameters of the target user, specifically including:

[0086] Obtain individual difference parameter information of the target user, including gender, basal metabolic rate, body part heat sensitivity, exercise intensity level, and ambient temperature and humidity conditions; perform joint analysis with the comprehensive cooling index and the individual difference parameters, and output the cooling compatibility level between the fabric sample and the target user based on the joint analysis results. The compatibility level is used to determine whether the fabric sample is suitable for the target user to use in a specified scenario.

[0087] Preferably, the overall cooling index is used to calculate a cooling adaptation score based on the individual difference parameters, specifically including:

[0088] The overall cooling index Individual difference parameter vector of the target user Perform joint input and establish a cooling adaptation function. The cooling sensation adaptation function is then used to output the cooling sensation adaptation score. Specifically:

[0089]

[0090] In the formula, Indicates the overall cooling sensation index. This represents standardized individual difference parameters; The weighting coefficients for the cooling sensation index and each difference parameter are preset based on historical cooling sensation score data; This is a bias term used to fit the nonlinear factors in an individual's subjective cooling sensation rating; This represents the cooling adaptation function. The score indicates the degree of coolness matching.

[0091] It should be noted that in the actual modeling process, individual difference parameters... Through standardization, the parameter values ​​are made to fall within a unified dimension. The z-score normalization method is used to remove the influence of dimensions, ensuring the reasonable weighted summation of the cooling sensation index and individual factors. Each weight coefficient... The data is obtained by training a multivariate regression model using a historical comprehensive cooling index sample database, and it has adaptive properties; the bias term... To compensate for nonlinear bias factors in real-world evaluations, including specific preferences for certain materials and the impact of physical adaptability training, the bias term value can also be obtained using the least squares method; while the cooling sensation adaptation score... The output is a floating-point value, and the overall score is mapped to a range of 0 to 10 points. The cooling sensation level is divided according to a preset threshold, as follows:

[0092] Highly compatible.

[0093] Moderately compatible.

[0094] Low degree of compatibility.

[0095] The rating mechanism for cooling compatibility can help fabric developers make targeted recommendations for cooling products to specific user groups, which helps to improve the ability to finely match the user's personalized experience with the fabric's function.

[0096] Thus, a smart testing system for the instant cooling performance of fabrics has been completed.

[0097] In addition, to verify the feasibility of the technical solution of this application, an experimental comparison was conducted between the technical solution of this application and another type of cooling sensation test method in the disclosed technology. To ensure an objective comparison between the technical solution of this application and the existing technical solution in the testing of fabric cooling sensation performance, the following data comparison process was established, and the results were analyzed based on standardized test conditions:

[0098] Five commercially available cooling functional fabrics with different fiber compositions, including cotton, polyester, cooling modified polyester, viscose, blended fabrics, and different weave structures, including plain weave, twill weave, and jacquard, were selected as a unified test sample set.

[0099] All samples were equilibrated for more than 24 hours at a temperature of 20±0.5℃ and a relative humidity of 65±2%; all tests were conducted in a constant temperature and humidity laboratory at a temperature of 25.0±0.5℃ and a relative humidity of 65±2%.

[0100] Similarly, the contact parameters are standardized: the contact pressure is standardized to simulate the natural pressing pressure of the palm, with a value of 3 kPa; the contact speed, for existing technical solutions, is approximately 10 mm / s for the "plain / diagonal sliding" motion defined in the standard motion library; for the technical solution provided in this application, the linear slide rail drive speed is set to 10 mm / s; the contact time / stroke is set to ensure an effective contact / sliding time ≥ 10 seconds; the heat source temperature heats the surface of the simulated robotic arm in existing technical solutions to 33.0 ± 0.2℃; the temperature of the uniform heat-conducting plate in this technical solution is set to 33.0 ± 0.2℃.

[0101] Define and measure key indicators. The core indicator of the existing technical solution is the maximum transient heat flow, which is obtained by fitting the heat flow curve with the electrical signal during the contact process of the simulated robot arm and taking its peak value.

[0102] The core indicators of the technical solution provided in this application include instantaneous cooling characteristic value: reflecting the peak value of the maximum heat flux change rate in the initial contact stage; continuous cooling characteristic value: reflecting the average heat flux change rate level in the stable contact stage; and comprehensive cooling index: comprehensively reflecting the overall cooling performance.

[0103] For direct comparison, the instantaneous cooling characteristic value ICF_index of the technical solution provided in this application and the maximum transient heat flux qmax of the existing solution are regarded as comparable indicators reflecting the "instantaneous cooling test value".

[0104] Data acquisition and processing: Each fabric sample was tested five times under two different technical solutions. The average of the five test results was taken as the final data for that sample under that technical solution, and obvious outliers were excluded to avoid errors caused by sensor failure or improper sample fixation.

[0105] The table below shows the representative values ​​of the "instant cooling sensation test" for five samples under two technical solutions, as well as the CFI of the technical solution provided in this application.

[0106]

[0107] The CFI column in the table above demonstrates the unique comprehensive evaluation capability of the technical solution provided in this application. Based on the standardized comparison process and data results described above, the following conclusions are drawn:

[0108] With improved accuracy and sensitivity, the value of the instantaneous cooling characteristic of ICF_index measured by the technical solution of this application is generally and significantly higher than the qmax value measured by the prior art, specifically because:

[0109] The technical solution provided in this application accurately captures the peak value of rapid heat flux change in the initial stage of contact through the rate of change curve, avoiding the smoothing effect or deviation in the positioning of the true "instantaneous" peak that may exist in the existing solution during the fitting of the entire heat flux curve.

[0110] An 8x8 heat flow sensor array can more comprehensively and sensitively capture the spatial heterogeneity of heat flow distribution at actual contact points caused by differences in the microstructure of the fabric surface. While existing simulated robotic arms can mimic movements, their sensing elements have limitations in coverage density and spatial resolution.

[0111] For materials with complex surface structures, such as the jacquard fabric in sample #3, the improvement rate of ICF_index provided by this application is particularly significant. This verifies the advantage of the linear uniform speed drive and full-area coverage mode of the technical solution provided by this application over the existing solutions that rely on image recognition to locate fiber orientation and specific direction motion simulation mode. Existing solutions may have errors in fiber orientation recognition and contact direction control on irregular textures or curved fiber sets, affecting the accuracy and consistency of qmax measurement. However, the technical solution provided by this application is not subject to this limitation.

[0112] The unique CFI index provided by this application offers a more comprehensive quantitative description of the cooling performance of fabrics, including not only instantaneous cooling but also quantifying the cooling data during continuous contact, which cannot be achieved by existing solutions that solely use the qmax index.

[0113] Furthermore, although the individual cooling adaptation module built into the technical solution provided in this application is not directly reflected in the data in this comparison, it lays the technical foundation for personalized evaluation of cooling performance and product recommendation for different users in practical applications, significantly improving the practical value of the test results, while existing solutions lack this dimension of consideration.

[0114] The technical solution provided in this application has significant advantages over existing dynamic contact cooling sensation detection methods based on simulated robotic arms in terms of testing accuracy, especially the capture of instantaneous cooling sensation peaks, applicability to complex fabrics, multi-dimensional quantification of cooling sensation performance, and potential for personalized applications. The technical solution provided in this application offers a direction for the development of fabric cooling sensation performance testing towards higher accuracy, wider applicability, and stronger practicality.

[0115] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes 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 this application.

[0116] Those skilled in the art will recognize that the algorithms or steps 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 application.

[0117] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A smart testing system for the instantaneous cooling performance of fabrics, characterized in that, It includes an environment configuration module, a constant temperature heat source module, a dynamic contact test module, a coolness discrimination module, and a comprehensive result output module; The environment configuration module is used to configure the test environment parameters and fabric samples. The test environment parameters include ambient temperature and ambient humidity. A constant-temperature heat source module is used to set up a constant-temperature heat source, and a heat flow sensor array is uniformly embedded on the bottom outer surface of the constant-temperature heat source, specifically including: The constant temperature heat source consists of a uniform temperature heat-conducting plate, a heating component, and a constant temperature control unit. The heat flow sensor array is embedded on the bottom outer surface of the uniform temperature heat-conducting plate. The array is arranged in an 8-row × 8-column two-dimensional matrix array. Each heat flow sensor works independently and collects the heat flow density value of the corresponding contact point. Each heat flow sensor has a unified time synchronization identification mechanism to construct complete space-time heat flow distribution data. The dynamic contact test module is used to drive a constant temperature heat source at a constant speed along the track to slide into contact with the outer surface of the fabric sample, and to acquire contact data during the sliding contact process through a heat flow sensor array. The cooling sensation differentiation module is used to construct instantaneous cooling sensation and continuous cooling sensation partitions based on contact data and a dynamic partitioning algorithm, and to calculate instantaneous cooling sensation feature values ​​and continuous cooling sensation feature values. Specifically, it includes: Construct a time series of heat flux density values ​​for each sampling point. and the time series of heat flux density values Perform first derivative calculations to obtain the heat flux density change rate curve. ; A dynamic partitioning algorithm is applied to dynamically partition the heat flux density change rate curve. The dynamic partitioning includes a first partition and a second partition. The first partition is the instantaneous cooling partition, which is partitioned by taking the first local maximum point in the heat flux density change rate curve. The time corresponding to the first local maximum point is defined as the end time of the instantaneous cooling phase. ,Will The interval is defined as a zone for instantaneous cooling sensation; The second partition is a continuous cooling partition, which is reduced to its maximum value by taking the derivative value. The following time points remain stable. Used to indicate the start of the sustained cooling phase. The interval is defined as a continuous cooling zone, the This is the moment when contact with the heat source ends; The instantaneous cooling sensation value and the continuous cooling sensation value are divided according to the first and second zones; The comprehensive results output module calculates the comprehensive cooling index of the fabric sample by combining the instantaneous cooling characteristic value and the continuous cooling characteristic value.

2. The intelligent testing system for the instantaneous cooling performance of fabrics as described in claim 1, characterized in that, The environment configuration module includes an environment parameter control unit, a fabric pretreatment unit, and a fabric fixing unit, specifically: The environmental parameter control unit is used to set the ambient temperature and humidity in the test environment and monitor changes in ambient temperature and humidity in real time through an integrated temperature and humidity sensor; the fabric pretreatment unit is used to cut the fabric sample to the size to be tested and to place the fabric in the test environment for a preset time; the fabric fixing unit is used to tension and fix the fabric sample.

3. The intelligent testing system for the instantaneous cooling performance of fabrics as described in claim 1, characterized in that, A constant-temperature heat source is driven at a uniform speed along a track to slide into contact with the outer surface of the fabric sample. Contact data is acquired during the sliding contact process using a heat flow sensor array, specifically including: A linear slide rail is set in the test environment, and the path of the linear slide rail coincides with the effective test area of ​​the fabric sample in space. The start and end points of the slide rail cover the entire length of the fabric sample. A servo drive component is connected between the constant temperature heat source and the linear slide rail. A fixed drive speed is set for the servo drive component. The servo drive component is activated according to the fixed drive speed. The servo drive component will drive the constant temperature heat source along the linear slide rail path at a constant speed. The constant temperature heat source will maintain continuous contact with the outer surface of the fabric sample during the sliding process. The heat flow sensor array embedded on the bottom outer surface of the constant temperature heat source will synchronously collect contact data at each sampling point in the contact area.

4. The intelligent testing system for the instantaneous cooling performance of fabrics as described in claim 1, characterized in that, The calculation of instantaneous cooling characteristic values ​​and continuous cooling characteristic values ​​specifically includes: The instantaneous cooling characteristic value is calculated using the following formula: In the formula, The curve shows the rate of change of heat flux density. This represents the instantaneous cooling sensation characteristic value of the fabric sample in the initial stage of contact with the heat source. Indicates the instant cooling sensation in zones; The characteristic value of sustained cooling sensation is calculated according to the following formula: In the formula, This represents the sustained cooling characteristic value of the fabric sample during the continuous contact with the heat source. The curve shows the rate of change of heat flux density. This indicates the point in time when the rate of change of heat flux density drops to below 20% of the maximum derivative and remains stable, used to calibrate the start time of the continuous cooling phase; This indicates the moment when the fabric sample ceases contact with the heat source.

5. The intelligent testing system for the instantaneous cooling performance of fabrics as described in claim 4, characterized in that, The comprehensive cooling index of the fabric sample is calculated by combining the instantaneous cooling characteristic value and the sustained cooling characteristic value, specifically including: Based on instantaneous cooling characteristic value With continuous cooling characteristic value The overall cooling index is calculated as follows: In the formula, Indicates the overall cooling index of the fabric sample; This represents the instantaneous cooling sensation characteristic value of the fabric sample during the initial contact phase with the heat source; This represents the characteristic value of the continuous cooling sensation of the fabric sample during the continuous contact phase; This represents the weighting coefficient for the instantaneous cooling sensation. This represents the weighting coefficient for the sustained cooling sensation.

6. The intelligent testing system for the instantaneous cooling performance of fabrics as described in claim 1, characterized in that, It also includes an individual cooling sensation adaptation module, used to perform cooling sensation matching analysis and adaptation assessment based on the comprehensive cooling sensation index and the individual difference parameters of the target user, specifically including: Obtain individual difference parameter information of the target user, including gender, basal metabolic rate, body part heat sensitivity, exercise intensity level, and ambient temperature and humidity conditions; calculate the cooling compatibility score by combining the comprehensive cooling index with the individual difference parameters; output the cooling compatibility level between the fabric sample and the target user based on the cooling compatibility score, and use the compatibility level to determine whether the fabric sample is suitable for the target user to use in a specified scenario.

7. The intelligent testing system for the instantaneous cooling performance of fabrics as described in claim 6, characterized in that, The overall cooling index is used to calculate a cooling fit score based on the individual difference parameters, specifically including: The overall cooling index Individual difference parameter vector of the target user Perform joint input and establish a cooling adaptation function. The cooling sensation adaptation function is then used to output the cooling sensation adaptation score. Specifically: In the formula, Indicates the overall cooling sensation index. This represents standardized individual difference parameters; The weighting coefficients for the cooling sensation index and each difference parameter are preset based on historical cooling sensation score data; This is a bias term used to fit the nonlinear factors in an individual's subjective cooling sensation rating; This represents the cooling adaptation function. The score indicates the degree of coolness matching.

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