Intelligent testing system for instant cool feeling performance of fabric

Abstract

The invention provides a fabric instant cool feeling performance intelligent test system, and relates to the technical field of fabric performance detection, the fabric instant cool feeling performance intelligent test system comprises an environment configuration module, a constant temperature heat source module, a dynamic contact test module, a cool feeling distinguishing module and a comprehensive result output module; the cool feeling distinguishing and distinguishing module is used for constructing instant cool feeling and continuous cool feeling partitions based on the contact data and a dynamic partitioning algorithm, and calculating instant cool feeling characteristic values and continuous cool feeling characteristic values; the comprehensive result output module is used for comprehensively calculating the instantaneous cool feeling characteristic value and the continuous cool feeling characteristic value to obtain a comprehensive cool feeling index of the fabric sample, and the individual cool feeling adaptation module is used for carrying out cool feeling matching analysis and adaptation evaluation according to the comprehensive cool feeling index and individual difference parameters of a target use object; according to the method and the device, the instant cool feeling and the continuous cool feeling are automatically distinguished, so that quantitative description which has more pertinence and stage distinction degree on cool feeling performance is obtained, and an individual cool feeling adaptation mechanism is added to provide applicability judgment for different use groups.

Description

Technical Field

[0001] The present application relates to the technical field of fabric performance testing, and in particular to an intelligent testing system for fabric instantaneous cooling performance. Background Art

[0002] In the research, development 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 cooling performance testing methods are mostly based on static indicators such as instantaneous thermal conductivity and instantaneous contact temperature difference, which makes it difficult to fully reflect the cooling performance during the actual dynamic contact between fabric and skin.

[0004] At the same time, with the increase in personalized consumer demand, the differences in body temperature, thermal sensitivity and cooling experience among different groups of people in application scenarios have also become key considerations.

[0005] The existing technology still has the following technical deficiencies in the cooling performance test:

[0006] First, when detecting heat flow changes during the dynamic contact between fabric and heat source, the related art cannot accurately distinguish and quantify the fabric's "instant coolness" and "sustained coolness" performance, making it difficult to restore the actual feeling of wearing the fabric.

[0007] Secondly, existing systems generally lack the function of intelligently adapting the cooling test results to individual users, and are unable to output personalized cooling adaptation results based on individual physiological parameters, resulting in a lack of pertinence and application guidance value in fabric evaluation results.

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

[0009] The present application provides an intelligent testing system for the instantaneous cooling performance of fabrics, aiming to solve the problem in related technologies that it is impossible to accurately divide and quantify the "instant cooling" and "sustained cooling" performance of fabrics, and to avoid the problem that fabrics cannot intelligently adapt their functions to individual users.

[0010] In order to achieve the above-mentioned purpose, the present application provides an intelligent testing system for the instantaneous cooling performance of fabrics, which is characterized by including an environmental configuration module, a constant temperature heat source module, a dynamic contact testing module, a cooling differentiation and judgment 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 flux sensor array is evenly 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 uniform speed along a linear track to make sliding contact with the outer surface of the fabric sample, and obtain contact data during the sliding contact process through a heat flux sensor array.

[0014] The coolness discrimination module is used to construct instant coolness and continuous coolness partitions based on contact data and dynamic partitioning algorithm, and calculate the instant coolness characteristic value and the continuous coolness characteristic value.

[0015] The comprehensive result output module comprehensively calculates the instantaneous coolness characteristic value and the continuous coolness characteristic value to obtain the comprehensive coolness index of the fabric sample.

[0016] Preferably, the environmental configuration module includes an environmental 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 the changes in ambient temperature and humidity in real time through the integrated temperature and humidity sensors; the fabric pretreatment unit is used to cut the fabric sample to the size to be tested and let the fabric stand in the test environment for a preset time; the fabric fixing unit is used to tension and fix the fabric sample.

[0018] Preferably, the heat flux sensor array is evenly embedded on the outer surface of the bottom of the constant temperature heat source, specifically including:

[0019] The constant temperature heat source consists of a uniform temperature heat conduction plate, a heating assembly, and a constant temperature control unit. The heat flux sensor array is embedded in the bottom outer surface of the uniform temperature heat conduction plate and arranged in a two-dimensional matrix array of 8 rows × 8 columns. Each heat flux sensor operates independently and collects the heat flux density value of the corresponding contact point. Each heat flux sensor has a unified time synchronization identification mechanism for constructing complete space-time heat flux distribution data.

[0020] Preferably, the constant temperature heat source is driven at a uniform speed along the linear track to make sliding contact with the outer surface of the fabric sample, and contact data is obtained during the sliding contact process by the heat flux sensor array, specifically including:

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

[0022] Preferably, the instantaneous cool feeling and continuous cool feeling partitions are constructed based on contact data and a dynamic partitioning algorithm, specifically including:

[0023] Extract the heat flux density value of each sampling point in the contact data, construct the time series Q(t) of the heat flux density value of each sampling point, and calculate the first-order derivative of the time series Q(t) of the heat flux density value. According to the first-order derivative calculation, the heat flux density change rate curve is obtained.

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

[0025] The first partition is the instantaneous cool feeling 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 t1 of the instantaneous cool feeling stage. The interval is defined as the instant cool feeling zone.

[0026] The second zone is the continuous cool feeling zone, which is used to mark the start of the continuous cool feeling stage by taking the time point t2 when the derivative value drops below 20% of the maximum value and remains stable. The interval is defined as a continuous cool feeling zone, and t3 is the time when the heat source contact ends.

[0027] The instantaneous cool feeling value and the continuous cool feeling value are divided according to the first partition and the second partition.

[0028] Preferably, calculating the instantaneous cool feeling characteristic value and the continuous cool feeling characteristic value specifically includes:

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

[0030]

[0031] Where, is the heat flux density change rate curve, ICF_index represents the instantaneous cool feeling characteristic value of the fabric sample at the initial stage of contact with the heat source, Indicates the instant cool feeling zone.

[0032] The continuous cooling characteristic value is calculated according to the following formula:

[0033]

[0034] Where SCF_index represents the continuous cool feeling characteristic value of the fabric sample in the stage of continuous contact with the heat source, is the heat flux density change rate curve, t2 represents the time point when the heat flux density change rate value drops below 20% of the maximum derivative value and remains stable continuously, which is used to calibrate the starting time of the continuous cooling stage; t3 represents the end time of the fabric sample's contact with the heat source.

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

[0036] The comprehensive cooling index is calculated based on the instantaneous cooling characteristic value ICF_index and the continuous cooling characteristic value SCF_index, specifically:

[0037] CFI=α·ICF_index+β·SCF_index

[0038] Where CFI represents the comprehensive cooling index of the fabric sample; ICF_index represents the instantaneous cooling characteristic value of the fabric sample in the initial contact stage with the heat source; SCF_index represents the continuous cooling characteristic value of the fabric sample in the continuous contact stage; α represents the instantaneous cooling weight coefficient, and β represents the continuous cooling weight coefficient.

[0039] Preferably, a fabric instant coolness performance intelligent testing system further includes an individual coolness adaptation module for performing coolness matching analysis and adaptation evaluation based on the comprehensive coolness index and the individual difference parameters of the target user, specifically including:

[0040] Individual difference parameter information of the target user is obtained, and the individual difference parameters include gender, basal metabolic rate, thermal sensitivity of body parts, exercise intensity level, and ambient temperature and humidity conditions; the comprehensive coolness index is jointly analyzed with the individual difference parameters, and based on the joint analysis results, the coolness adaptation level between the fabric sample and the target user is output, and the adaptation level is used to determine whether the fabric sample is suitable for use by the target user in a specified scenario.

[0041] Preferably, the cooling adaptation score is calculated by combining the comprehensive cooling index and the individual difference parameter, specifically including:

[0042] The comprehensive coolness index CFI and the target user's individual difference parameter vector P =

[0043] {p1, p2, ..., p3} are jointly input to establish the coolness adaptation function f adapt , and the coolness adaptation function is used to output the coolness adaptation score S adapt , specifically:

[0044]

[0045] Where CFI represents the comprehensive coolness index, P = {p1, p2, ..., p3} represents the standardized individual difference parameter; w c ,w i is the weight coefficient corresponding to the coolness index and each difference parameter, which is preset according to the historical coolness score data; b is the bias term, which is used to fit the nonlinear factors in the individual subjective coolness score; f adapt represents the cool adaptation function, S adapt Indicates the coolness adaptation score.

[0046] The beneficial effects of this application are:

[0047] 1. By adopting a dynamic contact test that combines a constant-temperature heat source with a heat flux sensor array, uniform linear contact between the fabric sample and the heat source surface is achieved under the control of constant environmental parameters. Combined with a dynamic partitioning algorithm, the heat flux change process is structured and divided. 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, thereby obtaining a more targeted and stage-distinguishing 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.

[0048] 2. Based on the completion of the coolness feature extraction, the system further introduces an individual coolness adaptation module. By integrating the usage object parameters, a comprehensive adaptability analysis is conducted, and the coolness matching level for specific groups of people and application scenarios is output. The individual coolness adaptation mechanism enables the test results to not only have general quantitative indicators, but also provide fabric suitability judgments for different user groups, thereby improving the adaptability and reference value of the coolness performance test in actual usage guidance.

[0049] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 This is an overall framework diagram of an intelligent testing system for instant cooling performance of fabrics provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0053] See also Figure 1 , Figure 1 An overall framework diagram of a fabric instant cooling performance intelligent testing system is provided for an embodiment of the present application.

[0054] In this embodiment, a fabric instant cooling performance intelligent testing system includes an environment configuration module, a constant temperature heat source module, a dynamic contact testing module, a cooling differentiation and judgment module, and a comprehensive result output module.

[0055] The environment configuration module is used to configure the test environment parameters and fabric samples. The test environment parameters include the ambient temperature and ambient humidity. The environment configuration module includes an environment parameter control unit, a fabric pretreatment unit, and a fabric fixing unit. Specifically:

[0056] The environmental parameter control unit is used to set the ambient temperature and humidity in the test environment, and monitor the changes in ambient temperature and humidity in real time through the integrated temperature and humidity sensors; the fabric pretreatment unit is used to cut the fabric sample to the size to be tested and let the fabric sample stand in the test environment for a preset time; the fabric fixing unit is used to tension and fix the fabric sample.

[0057] It should be noted that the ambient temperature in the test environment is 25.0±0.5℃, and the ambient humidity in the test environment is 65%±2%; the size to be tested is a standard size of 100mm×100mm, and the preset static time is more than 24 hours. The pre-test time is extended to more than 24 hours to ensure that the thermal and moisture state of the fabric sample reaches a balance with the environment; the fabric fixing unit cooperates with the constant pressure locking machine to achieve flat tensioning of the fabric surface to prevent 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 at the set position, the clamping device of the constant pressure locking machine will automatically press down under the action of the preset pressure value to achieve tensioning of the fabric along the X-axis and Y-axis directions. After the tensioning is completed, the locking machine automatically maintains a constant compression state to ensure that the fabric surface is always in a flat and tensioned state throughout the entire test cycle.

[0058] It should be noted that the constant pressure locking machine is a common standardized clamping device in this field, which is widely used in the fields of fabric testing and film testing. Its structure and working mode are generally known to technicians, so its specific structure and internal implementation process will not be repeated in this manual.

[0059] The constant temperature heat source module is used to set a constant temperature heat source and evenly embed a heat flux sensor array on the bottom outer surface of the constant temperature heat source, specifically including:

[0060] The constant temperature heat source consists of a uniform temperature heat conduction plate, a heating assembly, and a constant temperature control unit. The heat flux sensor array is embedded in the bottom outer surface of the uniform temperature heat conduction plate and arranged in a two-dimensional matrix array of 8 rows × 8 columns. Each heat flux sensor operates independently and collects the heat flux density value of the corresponding contact point. Each heat flux sensor has a unified time synchronization identification mechanism for constructing complete space-time heat flux distribution data.

[0061] 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 arranged on the top of the uniform temperature heat conduction plate to achieve uniform heat distribution. The flexible thin film heater provides heat through the surface resistance heating principle and distributes feedback current and temperature status through multi-point thermistors to support real-time adjustment of the constant temperature control unit; the uniform temperature heat conduction plate is arranged at the bottom of the heating component to provide a direct thermal contact surface with the fabric sample.

[0062] It should be noted that the flexible film heater, uniform temperature heat conduction plate and constant temperature control unit are standard components widely used in this field. Their structural design and control logic are generally mastered by relevant technical personnel, and their detailed structure and principles will not be elaborated here.

[0063] The dynamic contact test module is used to drive a constant temperature heat source at a constant speed along a linear track to make sliding contact with the outer surface of the fabric sample. The heat flux sensor array is used to obtain contact data during the sliding contact process. Specifically, it includes:

[0064] A linear slide is set in a test environment, the path of the linear slide is set to coincide with the effective test area of ​​the fabric sample in space, and the starting and ending points of the linear slide cover the entire length of the fabric sample; and a servo drive component is connected between the constant temperature heat source and the linear slide, a fixed driving speed is set for the servo drive component, and the servo drive component is turned on according to the fixed driving speed. The servo drive component will drive the constant temperature heat source at a constant speed along the linear slide path. The constant temperature heat source will maintain continuous contact with the outer surface of the fabric sample during the driven sliding process, and the heat flux sensor array embedded in the outer surface of the bottom of the constant temperature heat source will synchronously collect contact data of each sampling point in the contact area.

[0065] It should be noted that the linear slide 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 path setting coincides with the spatial position of the effective test area of ​​the fabric sample to ensure that the heat source sliding trajectory completely covers the detection area of ​​the fabric sample to avoid omissions or boundary offsets of the test data; the servo drive assembly consists of a stepper motor, a reduction mechanism and a displacement feedback unit. The fixed drive speed of 10 mm / s is set through a programmed control system, and the sliding distance and speed stability are monitored in real time.

[0066] The coolness discrimination module is used to construct instantaneous coolness and continuous coolness partitions based on contact data and dynamic partitioning algorithms, and calculate instantaneous coolness eigenvalues ​​and continuous coolness eigenvalues. The module specifically includes:

[0067] Extract the heat flux density value of each sampling point in the contact data, construct the time series Q(t) of the heat flux density value of each sampling point, and calculate the first-order derivative of the time series Q(t) of the heat flux density value. According to the first-order derivative calculation, the heat flux density change rate curve is obtained.

[0068] The dynamic partitioning algorithm is applied to dynamically partition the heat flux density change rate curve, and the dynamic partitioning includes the first partition and the second partition.

[0069] The first partition is the instantaneous cool feeling 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 t1 of the instantaneous cool feeling stage. The interval is defined as the instant cool feeling zone.

[0070] It should be noted that the identification of the local maximum point is based on the sliding window judgment mechanism, that is, within a window interval centered at the current moment, if the corresponding If the value is greater than the previous and next points, it is regarded as a local maximum. The sliding window judgment mechanism can effectively identify the first reaction peak of the fabric sample to thermal stimulation in actual testing, which is used to define the termination boundary of the instantaneous cooling stage.

[0071] The second zone is the continuous cool feeling zone, which is used to mark the start of the continuous cool feeling stage by taking the time point t2 when the derivative value drops below 20% of the maximum value and remains stable. The interval is defined as a continuous cool feeling zone, and t3 is the time when the heat source contact ends.

[0072] It should be noted that the starting time t2 of the continuous cool feeling zone is defined as The time point when the derivative value drops below 20% of the maximum value and remains stable for more than 3 seconds. During this process, the system uses a rolling mean and variance detection algorithm to ensure that the identified time point is stable and representative.

[0073] The instantaneous cool feeling value and the continuous cool feeling value are divided according to the first partition and the second partition.

[0074] It should be noted that the calculation of the instantaneous cooling characteristic value and the continuous cooling characteristic value specifically includes:

[0075] The instantaneous cooling characteristic value is calculated according to the following formula:

[0076]

[0077] Where, is the heat flux density change rate curve, ICF_index represents the instantaneous cool feeling characteristic value of the fabric sample at the initial stage of contact with the heat source, Indicates the instant cool feeling zone.

[0078] The continuous cooling characteristic value is calculated according to the following formula:

[0079]

[0080] Where SCF_index represents the continuous cool feeling characteristic value of the fabric sample in the stage of continuous contact with the heat source, is the heat flux density change rate curve, t2 represents the time point when the heat flux density change rate value drops below 20% of the maximum derivative value and remains stable continuously, which is used to calibrate the starting time of the continuous cooling stage; t3 represents the end time of the fabric sample's contact with the heat source.

[0081] The comprehensive result output module calculates the instantaneous coolness characteristic value and the continuous coolness characteristic value to obtain the comprehensive coolness index of the fabric sample, including:

[0082] The comprehensive cooling index is calculated based on the instantaneous cooling characteristic value ICF_index and the continuous cooling characteristic value SCF_index, specifically:

[0083] CFI=α·ICF_index+β·SCF_index

[0084] Where CFI represents the comprehensive cooling index of the fabric sample; ICF_index represents the instantaneous cooling characteristic value of the fabric sample in the initial contact stage with the heat source; SCF_index represents the continuous cooling characteristic value of the fabric sample in the continuous contact stage; α represents the instantaneous cooling weight coefficient, and β represents the continuous cooling weight coefficient.

[0085] It should be noted that the value range needs to satisfy α+β=1, and the weight coefficient can be set according to the target application scenario or adaptively adjusted by the training model.

[0086] An intelligent testing system for fabric instant cooling performance also includes an individual cooling adaptation module for performing cooling matching analysis and adaptation evaluation based on a comprehensive cooling index and individual difference parameters of target users. Specifically, it includes:

[0087] Individual difference parameter information of the target user is obtained, and the individual difference parameters include gender, basal metabolic rate, thermal sensitivity of body parts, exercise intensity level, and ambient temperature and humidity conditions; the comprehensive coolness index is jointly analyzed with the individual difference parameters, and based on the joint analysis results, the coolness adaptation level between the fabric sample and the target user is output, and the adaptation level is used to determine whether the fabric sample is suitable for use by the target user in a specified scenario.

[0088] Preferably, the cooling adaptation score is calculated by combining the comprehensive cooling index and the individual difference parameter, specifically including:

[0089] The comprehensive coolness index CFI and the target user's individual difference parameter vector P =

[0090] {p1, p2, ..., p3} are jointly input to establish the coolness adaptation function f adapt , and the coolness adaptation function is used to output the coolness adaptation score S adapt , specifically:

[0091]

[0092] Where CFI represents the comprehensive coolness index, P = {p1, p2, ..., p3} represents the standardized individual difference parameter; wc ,w i is the weight coefficient corresponding to the coolness index and each difference parameter, which is preset according to the historical coolness score data; b is the bias term, which is used to fit the nonlinear factors in the individual subjective coolness score; f adapt represents the cool adaptation function, S adapt Indicates the coolness adaptation score.

[0093] It should be noted that in the actual modeling process, the individual difference parameter P is standardized so that the parameter values ​​fall within the uniform dimension range. The z-score normalization method is used to remove the dimension effect to ensure that the weighted superposition between the coolness index and each individual factor is reasonable; each weight coefficient w c ,w i The coolness index is obtained by training the historical comprehensive coolness index sample library through a multivariate regression model, which is adaptive. The bias term b is used to compensate for the nonlinear preference factors existing in the real evaluation, including the special preference for a certain type of material and the training effect of physical adaptability. The bias term value can also be obtained by the least squares method. The coolness adaptation score S adapt The output is a floating point value. The overall score is mapped to a range of 0 to 10 points. The coolness adaptation level is divided according to the preset interval threshold, specifically:

[0094] S adapt ≥8.0: Highly adaptable.

[0095] 5.0≤S adapt <8.0: Moderate fit.

[0096] S adapt <5.0: Low adaptation.

[0097] The scoring mechanism for cool adaptation level can assist fabric developers in making targeted recommendations for cool products for specific user groups, helping to improve the ability to fine-tune the matching of user personalized experience and fabric functions.

[0098] At this point, an intelligent testing system for the instantaneous cooling performance of fabrics has been completed.

[0099] In addition, to verify the feasibility of the technical solution of the present application, the technical solution of the present application was experimentally compared with another type of cooling test method in the disclosed technology. To ensure an objective comparison between the present technical solution and the existing technical solution in the fabric cooling performance test, the following data comparison process was specially formulated, and the results were analyzed based on standardized test conditions:

[0100] Five commercially available cooling functional fabrics with different fiber compositions, including cotton, polyester, cooling modified polyester, viscose, blended and different weave structures including plain, twill and jacquard, were selected as a unified test sample set.

[0101] All samples were equilibrated in an environment with a temperature of 20±0.5℃ and a relative humidity of 65±2% for more than 24 hours; all tests were carried out in a constant temperature and humidity laboratory with a temperature of 25.0±0.5℃ and a relative humidity of 65±2%.

[0102] Similarly, the contact parameters are unified, the contact pressure is uniformly simulated to simulate the natural pressing force of the palm, and the value is 3kPa; for the contact speed, for the existing technical solution, the "plain / twill sliding" action speed defined in the standard action library is executed at ≈10mm / s; for the technical solution provided in this application, the linear slide drive speed is set to 10mm / s; the contact time / stroke is set to ensure that the effective contact / sliding time is ≥10 seconds; the heat source temperature heats the surface of the simulated robot arm of the existing technical solution to 33.0±0.2℃; the temperature of the uniform temperature heat conduction plate of this technical solution is set to 33.0±0.2℃.

[0103] 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 of the electrical signal during the contact process of the simulated manipulator through the deep learning model and taking its peak value.

[0104] The core indicators of the technical solution provided in this application include the instantaneous cooling characteristic value: reflecting the maximum heat flux change rate peak value in the initial contact stage; the continuous cooling characteristic value: reflecting the average heat flux change rate level in the stable contact stage; and the comprehensive cooling index: comprehensively reflecting the overall cooling performance.

[0105] 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".

[0106] Data acquisition and processing were performed, and each fabric sample was tested 5 times on each of the two technical solutions. The average of the 5 test results was taken as the final data of the sample under the technical solution, and obvious outliers were excluded to avoid errors caused by sensor failure or improper sample fixation.

[0107] The following table shows the representative values ​​of the "instant coolness test value" measured for 5 samples under two technical solutions and the CFI of the technical solution provided in this application.

[0108]

[0109]

[0110] The CFI column in the table above demonstrates the unique comprehensive evaluation capabilities of the technical solution provided by this application. Based on the above standardized comparison process and data results, the following conclusions are drawn:

[0111] The accuracy and sensitivity are improved. The values ​​representing the instantaneous cooling characteristic values ​​of ICF_index measured by the technical solution of this application are generally and significantly higher than the qmax values ​​measured by the existing technical solutions. Specifically, the following are the reasons:

[0112] The technical solution provided in this application accurately captures the rapidly changing peak value of heat flow in the initial contact stage 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 process of fitting the entire heat flow curve.

[0113] The 8x8 heat flux sensor array can more comprehensively and sensitively capture the spatial heterogeneity of heat flux distribution at actual contact points caused by differences in the microstructure of the fabric surface. Although the existing simulation robot can simulate movements, its sensing elements are limited in coverage density and spatial resolution.

[0114] For jacquard fabrics with complex surface structures, such as sample #3, the improvement rate of ICF_index of the technical solution provided by this application is particularly significant; this verifies the advantages of the linear uniform speed drive and full-area coverage mode of the technical solution provided by this application over the existing solution that relies on image recognition to locate the fiber direction and specific direction action simulation mode; the existing solution may have errors in fiber direction identification and contact direction control on irregular textures or curved fiber collections, affecting the accuracy and consistency of qmax measurement, but the technical solution provided by this application is not limited by this.

[0115] The unique CFI index of the technical solution provided in this application provides a more comprehensive quantitative description of the cooling performance of the fabric, which not only includes the instantaneous cooling sensation, but also quantifies the cooling sensation data during the continuous contact stage, which is impossible to achieve by the existing solution that only uses the qmax indicator.

[0116] Moreover, although the individual cooling adaptation module built into the technical solution provided by this application does not directly reflect the data in this comparison, it lays a technical foundation for personalized evaluation of cooling performance and product recommendations for different users in actual applications of this technology, significantly improving the practical value of the test results, while existing solutions lack consideration of this dimension.

[0117] Compared with the existing dynamic contact coolness detection method based on simulated manipulator, the technical solution provided by this application shows significant advantages in test accuracy, especially in capturing instantaneous coolness peak, applicability of complex fabrics, multi-dimensional quantification of coolness performance, and potential for personalized applications. The technical solution provided by this application provides a development direction for fabric coolness performance testing towards higher accuracy, wider applicability and greater practicality.

[0118] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0119] Those skilled in the art will appreciate that the various 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0120] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An intelligent testing system for instant cooling performance of fabrics, characterized in that: It includes environment configuration module, constant temperature heat source module, dynamic contact test module, coolness discrimination module, and comprehensive result output module; Environmental configuration module, used to configure test environment parameters and fabric samples. Test environment parameters include ambient temperature and ambient humidity. The constant temperature heat source module is used to set a constant temperature heat source, and a heat flux sensor array is evenly embedded on the bottom outer surface of the constant temperature heat source; The dynamic contact test module is used to drive a constant temperature heat source at a constant speed along a linear track to make sliding contact with the outer surface of the fabric sample, and obtain contact data during the sliding contact process through a heat flux sensor array; The cooling sensation discrimination module is used to construct instant cooling sensation and continuous cooling sensation partitions based on contact data and a dynamic partitioning algorithm, and calculate the instant cooling sensation characteristic value and the continuous cooling sensation characteristic value; The comprehensive result output module comprehensively calculates the instantaneous coolness characteristic value and the continuous coolness characteristic value to obtain the comprehensive coolness index of the fabric sample.

2. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 1, characterized in that: The environmental configuration module includes an environmental parameter control unit, a fabric pre-processing 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 the changes in ambient temperature and humidity in real time through the integrated temperature and humidity sensors; the fabric pretreatment unit is used to cut the fabric sample to the size to be tested and let the fabric stand 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 instantaneous cooling performance of fabrics according to claim 1, characterized in that: The heat flux sensor array is evenly embedded on the outer surface of the bottom of the constant temperature heat source, specifically including: The constant temperature heat source consists of a uniform temperature heat conduction plate, a heating assembly, and a constant temperature control unit. The heat flux sensor array is embedded in the bottom outer surface of the uniform temperature heat conduction plate and arranged in a two-dimensional matrix array of 8 rows × 8 columns. Each heat flux sensor operates independently and collects the heat flux density value of the corresponding contact point. Each heat flux sensor has a unified time synchronization identification mechanism for constructing complete space-time heat flux distribution data.

4. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 1, characterized in that: A constant temperature heat source is driven at a constant speed along the linear track to make sliding contact with the outer surface of the fabric sample. Contact data is obtained during the sliding contact process through the heat flux sensor array, specifically including: A linear slide is set in a test environment, the path of the linear slide is set to coincide with the effective test area of ​​the fabric sample in space, and the starting and ending points of the linear slide cover the entire length of the fabric sample; and a servo drive component is connected between the constant temperature heat source and the linear slide, a fixed driving speed is set for the servo drive component, and the servo drive component is turned on according to the fixed driving speed. The servo drive component will drive the constant temperature heat source at a constant speed along the linear slide path. The constant temperature heat source will maintain continuous contact with the outer surface of the fabric sample during the driven sliding process, and the heat flux sensor array embedded in the outer surface of the bottom of the constant temperature heat source will synchronously collect contact data of each sampling point in the contact area.

5. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 4, characterized in that: Based on contact data and dynamic partitioning algorithm, instantaneous cooling and continuous cooling partitioning are constructed, including: According to the heat flux density value of each sampling point, the time series Q(t) of the heat flux density value of each sampling point is constructed, and the first-order derivative of the time series Q(t) of the heat flux density value is calculated. The heat flux density change rate curve is obtained according to the first-order derivative calculation Apply the dynamic partitioning algorithm to dynamically partition the heat flux density change rate curve, and the dynamic partitions include the first partition and the second partition; The first partition is the instantaneous cool feeling 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 t1 of the instantaneous cool feeling stage, and the interval t∈[0,t1] is defined as the instantaneous cool feeling partition; The second zone is the continuous cool feeling zone. The time point t2 when the derivative value drops below 20% of the maximum value and remains stable is used to calibrate the start of the continuous cool feeling stage. The interval t∈[t2,t3] is defined as the continuous cool feeling zone, and t3 is the time when the heat source contact ends. The instantaneous cool feeling value and the continuous cool feeling value are divided according to the first partition and the second partition.

6. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 5, characterized in that: Calculating the instantaneous cooling characteristic value and the continuous cooling characteristic value includes: The instantaneous cooling characteristic value is calculated according to the following formula: Where, is the heat flux density change rate curve, ICF_index represents the instantaneous cool feeling characteristic value of the fabric sample at the initial stage of contact with the heat source, Indicates instant cool feeling zone; The continuous cooling characteristic value is calculated according to the following formula: Where SCF_index represents the continuous cool feeling characteristic value of the fabric sample in the stage of continuous contact with the heat source, is the heat flux density change rate curve, t2 represents the time point when the heat flux density change rate value drops below 20% of the maximum derivative value and remains stable continuously, which is used to calibrate the starting time of the continuous cooling stage; t3 represents the end time of the fabric sample's contact with the heat source.

7. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 6, characterized in that: The comprehensive cooling index of the fabric sample is obtained by comprehensively calculating the instantaneous cooling characteristic value and the continuous cooling characteristic value, which includes: The comprehensive cooling index is calculated based on the instantaneous cooling characteristic value ICF_index and the continuous cooling characteristic value SCF_index, specifically: CFI=α·ICF_index+β·SCF_index Where CFI represents the comprehensive cooling index of the fabric sample; ICF_index represents the instantaneous cooling characteristic value of the fabric sample in the initial contact stage with the heat source; SCF_index represents the continuous cooling characteristic value of the fabric sample in the continuous contact stage; α represents the instantaneous cooling weight coefficient, and β represents the continuous cooling weight coefficient.

8. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 1, characterized in that: It also includes an individual cooling adaptation module, which is used to perform cooling matching analysis and adaptation evaluation based on the comprehensive cooling index and the individual difference parameters of the target user. Specifically, it includes: Individual difference parameter information of the target user is obtained, and the individual difference parameters include gender, basal metabolic rate, thermal sensitivity of body parts, exercise intensity level, and ambient temperature and humidity conditions; a cooling adaptation score is calculated using the comprehensive cooling index and the individual difference parameters, and based on the cooling adaptation score result, a cooling adaptation level between the fabric sample and the target user is output, and the adaptation level is used to determine whether the fabric sample is suitable for use by the target user in a specified scenario.

9. The intelligent testing system for instantaneous cooling performance of fabrics according to claim 8, characterized in that: The cooling adaptation score is calculated by combining the comprehensive cooling index and the individual difference parameter, specifically including: The comprehensive coolness index CFI and the target user's individual difference parameter vector P = {p1, p2, ..., p3} are jointly input to establish the coolness adaptation function f adapt , and the coolness adaptation function is used to output the coolness adaptation score S adapt , specifically: Where CFI represents the comprehensive coolness index, P = {p1, p2, ..., p3} represents the standardized individual difference parameter; w c ,w i is the weight coefficient corresponding to the coolness index and each difference parameter, which is preset according to the historical coolness score data; b is the bias term, which is used to fit the nonlinear factors in the individual subjective coolness score; f adapt represents the cool adaptation function, S adapt Indicates the coolness adaptation score.

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