An integrated testing device for rapid detection of clothing fabric performance

Abstract

This invention relates to the field of textile testing technology and discloses an integrated testing device for rapid testing of clothing fabric performance. The device includes a testing cabinet and a frame. The frame is equipped with an unwinding assembly, a winding assembly, and a tension adjustment assembly. One side of the testing cabinet has an air permeability testing assembly, and the other side has an airflow sensing assembly. The outside of the testing cabinet is equipped with a control unit for an integrated fabric performance collaborative processing system. The control unit includes a dynamic excitation-synchronous acquisition module, a fabric porosity elasticity hysteresis calculation module, a response consistency verification module, a durability degradation trend prediction module, a trend stability verification module, an adaptive sampling and risk management module, and an integrated traceability report output module. This invention integrates fabric conveying, dynamic stretching, and air permeability testing. It quantitatively evaluates the fabric porosity elasticity by calculating the air permeability hysteresis index and recovery time constant, eliminates interfering data, predicts performance degradation trends, classifies and manages risks, and generates a complete traceability report.

Description

Technical Field

[0001] This invention relates to the field of textile testing technology, specifically to an integrated testing device for rapid testing of the performance of clothing fabrics. Background Technology

[0002] Breathability is a crucial indicator of a garment's comfort, especially for sportswear, summer clothing, and functional garments, where breathability directly impacts the body's thermal and moisture balance. Currently, fabric breathability testing primarily relies on static testing standards, where fabric samples are clamped between test heads, and the gas flow rate through a unit area of ​​fabric per unit time is measured under a constant pressure difference. While this static testing method reflects the breathability of the fabric in a non-stretched state, it cannot simulate the changes in breathability caused by stretching, bending, and other deformations during actual wear.

[0003] In existing technologies, some testing equipment incorporates dynamic stretching mechanisms to apply a certain degree of stretching to the fabric manually or semi-automatically before conducting air permeability tests. However, these devices generally suffer from the following shortcomings: First, the stretching action is separated from the air permeability test, making it impossible to achieve real-time synchronous testing of the fabric during continuous dynamic stretching and to obtain a response curve showing the continuous change in air permeability with tension. Second, there is a lack of quantitative evaluation methods for the hysteresis effect of air permeability in the repeated stretching-recovery cycle, making it impossible to characterize the recoverability of the pore structure caused by inter-fiber friction, yarn slippage, and viscoelastic effects. Third, the testing process is mostly a single or limited number of static or quasi-static tests, making it impossible to predict the performance degradation trend of the fabric under multiple cyclic loading and to assess the fabric's durability and service life. Fourth, in existing equipment, the unwinding, conveying, tension adjustment, air permeability testing, and rewinding processes are mostly dispersed across different workstations or devices, resulting in low testing efficiency and difficulty in correlating data between different stages, thus failing to form a complete testing traceability chain.

[0004] Therefore, how to provide a testing device that can realize continuous fabric feeding, dynamic tensile excitation, and real-time synchronous detection of air permeability on an integrated platform, and can comprehensively characterize the fabric's porosity elastic hysteresis characteristics and durability decay trend, is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] To address the technical problems in the prior art, this application provides an integrated testing device for rapid testing of the performance of clothing fabrics.

[0006] The integrated testing device for rapid testing of the performance of clothing fabrics provided in this application adopts the following technical solution: it includes a testing cabinet and a frame set inside the testing cabinet, and at least two transparent observation windows are provided on one side of the testing cabinet; One end of the frame is provided with an unwinding assembly for unwinding the fabric, and the other end of the frame is provided with a winding assembly for winding the fabric. Along the fabric conveying direction, an upper guide conveyor assembly, a middle auxiliary roller, and a tension regulating roller are sequentially arranged above the frame; The frame is also equipped with a tension adjustment component for adjusting the fabric tension, and the tension adjustment component is connected to the tension adjustment roller drive. One side of the frame is equipped with an air permeability testing component, which is used to test the air permeability of the fabric during the fabric conveying process. An airflow sensing component is provided on the other side of the frame, corresponding to the position of the air permeability test component; Control components are installed on the outer wall of the testing cabinet; The control unit integrates a fabric performance collaborative processing system, which includes a dynamic excitation-synchronous acquisition module, a fabric porosity elastic hysteresis calculation module, a response consistency verification module, a durability decay trend prediction module, a trend stability verification module, an adaptive sampling and risk management module, and an integrated traceability report output module.

[0007] Preferably, the dynamic excitation-synchronous acquisition module is used to send a periodic displacement command with a preset waveform to the tension adjustment component to drive the tension adjustment roller to move, and simultaneously acquire the instantaneous air permeability signal fed back by the airflow sensing component, the actual dynamic tension signal fed back by the tension adjustment component, and the instantaneous displacement signal of the tension adjustment roller fed back by the displacement encoder, to generate a multi-dimensional excitation-response time sequence.

[0008] Preferably, the fabric pore elastic hysteresis calculation module is used to divide the multidimensional excitation-response time series into phases according to the excitation period, separate the loading segment and the unloading segment, and calculate the air permeability hysteresis index and the recovery time constant; the air permeability hysteresis index is used to characterize the degree of hysteresis in the air permeability response of the fabric in the stretch-recovery cycle, and the recovery time constant is used to characterize the rate at which the air permeability of the fabric recovers to the equilibrium state after the load is removed.

[0009] Preferably, the response consistency verification module is used to divide the collected air permeability response time series into multiple continuous segments, calculate the cross-correlation coefficient between each segment and the theoretical expected response template, determine the segments with cross-correlation coefficients lower than a preset threshold as unreliable data and remove them, extract only the reliable segment data to recalculate the corrected air permeability hysteresis index and the corrected recovery time constant, and calculate the overall sequence confidence level; when the overall sequence confidence level is lower than the preset confidence level threshold, the control component instructs the tension adjustment component to repeat the excitation and acquisition process.

[0010] Preferably, the durability degradation trend prediction module is used to control the device to continuously and repeatedly execute the dynamic excitation, calculation and verification process to reach a preset total number of cycles. After each cycle, a set of corrected feature parameters are stored. After the cycle is completed, the slope of the air permeability hysteresis index as a function of the number of cycles and the slope of the recovery time constant as a function of the number of cycles are calculated. Based on the preset fabric fatigue threshold, the remaining safe number of cycles is predicted.

[0011] Preferably, the trend stability test module is used to perform a statistical significance test on the feature parameter sequence, calculate the local variance of the feature parameters within the sliding window and the rank correlation coefficient between the feature parameter sequence and the cycle number; when the local variance is lower than a preset variance threshold and the absolute value of the rank correlation coefficient is greater than a preset monotonicity threshold, the trend is determined to be stable and significant and the final decay slope is confirmed; if the conditions are not met, the number of test cycles is automatically extended.

[0012] Preferably, the adaptive sampling and risk handling module is used to calculate a dynamic risk factor based on the final attenuation slope calculated in real time and a preset standard attenuation rate reference value, and to execute corresponding handling rules according to the interval in which the dynamic risk factor is located: when the dynamic risk factor is lower than a first risk threshold, the current operating parameters are maintained; when the dynamic risk factor is between the first risk threshold and a second risk threshold, the excitation amplitude and sampling frequency are reduced; when the dynamic risk factor is higher than or equal to the second risk threshold, the dynamic excitation is terminated and the transmission speed is reduced, while triggering an alarm.

[0013] Preferably, the integrated traceability report output module is used to integrate the raw data and intermediate variables generated by each module to construct a multi-dimensional performance traceability report; the report includes the original multi-dimensional excitation-response time series data, the corrected permeability hysteresis index and recovery time constant and the corresponding sub-segment confidence level for each cycle, the finally confirmed attenuation slope and stability indicator and the predicted remaining safe cycle number, the mechanical adjustment action record triggered during the detection process and the corresponding timestamp, and is output through the communication interface of the control unit.

[0014] Preferably, the control unit uses an incremental PID algorithm to perform closed-loop control of the tension adjustment component. The proportional coefficient, integral coefficient, and derivative coefficient of the PID controller are adaptively adjusted according to the elastic modulus of the fabric to suppress overshoot under high-speed motion and control the distortion rate of the tension waveform within a preset range.

[0015] Preferably, the airflow sensing component uses an array-type thermal mass flow sensor with a response time of less than 5 milliseconds to ensure strict alignment of the instantaneous air permeability signal and the dynamic tension signal on the time axis; the clamping force of the automatic clamping test head of the air permeability testing component is automatically adjusted by the control component according to the change of the dynamic risk factor.

[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. This invention integrates the unwinding assembly, winding assembly, guiding and conveying assembly, tension adjustment assembly, air permeability testing assembly, and airflow sensing assembly into the same testing cabinet, and is uniformly controlled by the control components of the built-in fabric performance collaborative processing system. This achieves integrated automatic testing of the entire process of unwinding, conveying, dynamic tensile testing, and winding of fabric air permeability, significantly improving testing efficiency and the repeatability of test results.

[0017] 2. This invention sends periodic displacement commands to the tension adjustment component through a dynamic excitation-synchronous acquisition module, synchronously acquiring instantaneous air permeability signals, dynamic tension signals, and displacement signals. The fabric pore elastic hysteresis calculation module calculates the air permeability hysteresis index and recovery time constant, respectively quantifying the degree of hysteresis in the air permeability response of the fabric during the stretch-recovery cycle and the rate at which the air permeability recovers to the equilibrium state after the load is removed. This enables a quantitative evaluation of the viscoelastic response and pore structure recovery ability of the fabric.

[0018] 3. This invention divides the air permeability response time series into multiple segments through a response consistency verification module, eliminating unreliable data affected by random vibration or airflow disturbances, and recalculating the corrected characteristic parameters using only reliable segments, effectively eliminating the contamination of test results by non-excitation factors; at the same time, the durability degradation trend prediction module calculates the slope of the evolution of characteristic parameters with the number of cycles and predicts the remaining safe number of cycles, realizing a quantitative prediction of the fabric performance degradation trend, and providing a scientific basis for fabric service life assessment.

[0019] 4. This invention uses a trend stability testing module to perform statistical significance testing on the characteristic parameter sequence, distinguishing between true degradation trends and random fluctuations, ensuring the reliability of the attenuation slope determination; the adaptive sampling and risk management module executes graded responses according to the interval of the dynamic risk factor, reducing the excitation amplitude and sampling frequency in the early warning state, and terminating dynamic excitation and triggering an alarm in the high-risk state, effectively preventing sample damage and equipment failure; at the same time, the integrated traceability report output module generates a complete data traceability report, providing full-chain data support for fabric quality assessment and R&D improvement. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a three-dimensional structural diagram of the frame of the present invention; Figure 3 This is a three-dimensional structural diagram of the frame of the present invention from another perspective; Figure 4 This is a schematic diagram of the structure of the frame and tension adjustment assembly of the present invention; Figure 5 This is a block diagram of the architecture of the control component of the present invention; Figure 6 This is a flowchart of the overall execution logic of the control unit of the present invention; Figure 7 This is a detailed flowchart of the response consistency verification module of the present invention; Figure 8 This is a flowchart illustrating the adaptive sampling and risk management logic of the present invention.

[0021] Explanation of reference numerals in the attached drawings: 1. Inspection cabinet; 101. Control unit; 2. Frame; 3. Unwinding assembly; 4. Upper guide conveyor assembly; 5. Middle auxiliary roller; 6. Tension adjusting roller; 7. Tension adjusting assembly; 8. Rewinding assembly; 9. Air permeability testing assembly; 10. Airflow sensing assembly. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the following detailed description, in conjunction with the accompanying drawings and embodiments, provides an integrated testing device for rapid detection of clothing fabric performance. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. The term "integrated" in this invention refers to the integration of mechanical transmission, tension control, air permeability detection, and closed-loop feedback logic onto a single physical platform, achieving comprehensive characterization of the physical properties of clothing fabrics through deep coupling of data flows.

[0023] Please see Figures 1-8 The present invention provides an integrated testing device for rapid testing of the performance of clothing fabrics, including a testing cabinet 1. The inner surface of the testing cabinet 1 is coated with an antistatic coating and lined with high-density sound-absorbing cotton to isolate the interference of external environmental vibration and noise on precision sensing elements. At least one transparent observation window composed of three layers of tempered laminated glass is embedded in the front of the testing cabinet 1. The edge of the observation window is sealed with EPDM rubber sealing strip to ensure the stability of the internal airflow field. The inspection cabinet 1 is equipped with a frame 2. The frame 2 has an unwinding assembly 3 at the beginning and a winding assembly 8 at the end. Both the unwinding assembly 3 and the winding assembly 8 are driven by AC servo motors and equipped with absolute encoders to monitor changes in roll diameter in real time. In order to maintain the basic tension of the fabric during the conveying process, the unwinding assembly 3 and the winding assembly 8 achieve closed-loop tension control through the drive unit inside the control unit 101. Along the fabric conveying trajectory, the upper guide conveying assembly 4, the middle auxiliary roller 5, and the tension adjusting roller 6 are arranged sequentially above the frame 2. The upper guide conveying assembly 4 includes multiple sets of guide rollers with chrome-plated hardened surfaces to ensure that the fabric is completely flat and wrinkle-free before entering the testing area. The surface of the middle auxiliary roller 5 is covered with a 5mm thick elastic rubber layer with a Shore hardness of A60 to prevent micro-slippage of the fabric when the tension adjusting roller 6 performs high-frequency excitation, thus ensuring the waveform fidelity of the tension waveform. The tension adjusting roller 6 is located downstream of the central auxiliary roller 5, and its position is driven by the tension adjusting assembly 7. The tension adjusting assembly 7 is a servo linear actuator, whose push rod is rigidly connected to the bearing housing of the tension adjusting roller 6 via a universal coupling. The servo linear actuator has a built-in displacement encoder, which can provide real-time feedback on the instantaneous position of the tension adjusting roller 6. The tension adjustment component 7 is used by the tension adjustment roller 6 to perform linear or specific curve displacement, and to apply a controllable tensile load to the fabric by changing the wrap angle and path length of the fabric between the rollers. On the side of the test station between the central auxiliary roller 5 and the tension adjusting roller 6, an air permeability testing component 9 is installed. The air permeability testing component 9 includes a test head with an automatic clamping function. The test head integrates a pressure compensation chamber to ensure a stable test pressure difference under different fabric thicknesses. On the other side of the frame 2 adjacent to the air permeability testing component 9, an airflow sensing component 10 is installed. The airflow sensing component 10 uses an array of thermal mass flow sensors arranged in an equally spaced matrix to capture minute airflow fluctuations after penetrating the fabric. This array layout allows for weighted averaging of data from multiple sensing units, effectively offsetting random airflow distribution disturbances caused by uneven fabric structure and differences in yarn crossover points, significantly improving the instantaneous air permeability signal. Signal-to-noise ratio; The control unit 101 is located on the outer wall of the testing cabinet 1. It integrates a fabric performance collaborative processing system, which includes a dynamic excitation-synchronous acquisition module, a fabric porosity elastic hysteresis calculation module, a response consistency verification module, a durability decay trend prediction module, a trend stability verification module, an adaptive sampling and risk handling module, and an integrated traceability report output module. The system runs on a real-time embedded kernel, and its task scheduling cycle is no more than 1ms to ensure a high degree of synchronization between mechanical actions and data acquisition. The specific execution logic of the fabric performance collaborative processing system is as follows: First: Dynamic Excitation - Synchronous Acquisition Module According to a preset test protocol, the control unit 101 sends a first preset excitation command to the tension adjustment component 7. This command is a periodic displacement command of a predetermined waveform, which includes a sine wave, a triangular wave, or a trapezoidal wave, and has a preset frequency and amplitude. While driving the tension adjustment roller 6, the system starts a synchronous acquisition mechanism to synchronously acquire the instantaneous air permeability signal fed back by the airflow sensing component 10 at a rate not lower than the first preset sampling frequency. The actual dynamic tension signal fed back by the force sensor inside the tension adjustment component 7 and the instantaneous displacement signal of the tension adjusting roller 6 fed back by the displacement encoder. The dynamic excitation-synchronous acquisition module outputs a multi-dimensional excitation-response time series. : ; in, Indicates time Multidimensional observation vector at time, The unit is Newton (N). The unit is millimeters (mm). The unit is millimeters per second (mm / s); This represents the average linear velocity of airflow passing through the fabric pores under standard test pressure differential, i.e., the air permeability rate, which is usually simply referred to as air permeability in industry. Its physical essence is the volumetric flow rate divided by the test area, and its dimension is consistent with that of velocity. It should be noted that the value of the first preset sampling frequency is based on the viscoelastic response characteristics of the fabric, and is usually set to 5 to 10 times the characteristic frequency of the fabric. For common clothing fabrics, the characteristic frequency is in the range of tens to hundreds of hertz, so the first preset sampling frequency is generally set to 500Hz to 2000Hz. When testing highly elastic or thin fabrics, the response speed is faster, and the sampling frequency is preferably set to the upper limit of 2000Hz or higher. Second: Fabric porosity elastic hysteresis calculation module The fabric porosity elastic hysteresis calculation module will use multi-dimensional observation sequences. Phase segmentation is performed according to the excitation cycle, separating the loading and unloading segments within each complete cycle, and the following two core metrics are calculated: Breathability Hysteresis Index This is used to characterize the degree of hysteresis in the air permeability response of a fabric during a stretch-recovery cycle, caused by inter-fiber friction, yarn slippage, and viscoelastic effects. The calculation formula is as follows: ; in, It is a dimensionless air permeability hysteresis index; This indicates that within a complete excitation cycle, the instantaneous tension... The x-axis represents the instantaneous air permeability. Let be the area of ​​the closed hysteresis loop formed by the ordinate, which is obtained by Simpson's numerical integration method; The initial air permeability under static reference tension; The peak-to-peak value of the excitation waveform is the difference (N) between the maximum and minimum tension. This represents the maximum air permeability observed within that period. It should be noted that, The physical meaning of air permeability is the ratio of the area of ​​the tension hysteresis loop to the area of ​​the envelope rectangle, and its value ranges from 0 to 0.5; new fabrics Generally less than 0.2, it gradually increases with the number of cycles, reflecting progressive damage to the microstructure of the fabric; when When the value exceeds 0.4, it indicates that the fabric has shown obvious fatigue damage, and the recoverability of the pore structure is significantly reduced. Recovery time constant This describes the rate at which the fabric's breathability returns to an equilibrium state after the load is removed; it is used when the unloading half-cycle ends and the tension returns to the reference value. At that time, a nonlinear least squares fitting was performed on the air permeability recovery curve, and the fitting model is as follows: ; in, The instantaneous air permeability (mm / s) after unloading. The change in air permeability (mm / s) relative to the baseline value at the moment of unloading. The time (in seconds) is the time counted from the moment the unloading is completed. The recovery time constant (s) to be solved is obtained through least squares fitting; It should be noted that the recovery time constant The fitting results are typically between 0.01s and 0.5s; for highly elastic fabrics containing spandex... The value is generally 0.02-0.08s; for ordinary cotton and linen fabrics it is 0.1-0.3s. The smaller the value, the faster the fabric's pore structure recovers to its initial state after unloading, and the better its elastic recovery performance. Third: Response Consistency Verification Module To eliminate interference from random vibrations, fabric surface defects, or airflow pulsations during device operation on the detection data, control unit 101 executes the following verification logic: Step A1: Collect the entire air permeability response time series Divided into A series of consecutive sub-segments, with adjacent sub-segments maintaining a first preset overlap rate; number of sub-segments Typically, the value is 10 to 30. If the sampling time is long, it can be increased appropriately, but each segment should contain at least 2 to 3 complete excitation cycles; the first preset overlap rate is generally set to 50%. Step A2: The system uses the excitation signal output by the dynamic excitation-synchronous acquisition module. Based on the fabric's basic viscoelastic parameters, a theoretical air permeability expected response waveform synchronized with the excitation cycle is generated as a reference template. Subsequently, for each sub-segment Calculate its relationship with the reference template within the corresponding time period. cross-correlation coefficient To quantify its degree of matching with theoretical expectations: ; in, For the first The cross-correlation coefficient between each sub-segment and the expected template ranges from [-1, 1]. This represents the air permeability signal within this sub-segment. This is the arithmetic mean of the air permeability within this sub-segment; This is the theoretically expected response template signal for the corresponding time period. Its arithmetic mean; Step A3: Set a first correlation threshold to determine the degree of agreement between the sub-segment data and theoretical expectations; this threshold is typically set between 0.85 and 0.95; for rapid sampling inspections on mass production lines, a lower limit of 0.85 can be used; for precision analysis or R&D testing, a threshold of 0.9 or higher is preferred; if If the data in a segment is greater than or equal to this threshold, it is determined that the segment data is reliable, and its response characteristics conform to the physical expectations under dynamic excitation. Let the segment confidence level be... If the correlation coefficient is below the threshold, the data in that segment is deemed unreliable due to being dominated by non-excitation factors such as random vibrations and instantaneous airflow fluctuations. ; Step A4: Extract only Using the sub-data, re-execute the integration and fitting calculations in the fabric porosity elasticity hysteresis solution module to obtain the corrected air permeability hysteresis index. and the corrected recovery time constant Simultaneously, calculate the overall sequence confidence level. : ; like If the data falls below the first preset reliability threshold, the control unit 101 instructs the tension adjustment component 7 to repeat the excitation and acquisition process. The first preset reliability threshold is typically set to 0.9, requiring at least 90% of the segment data to be reliable. The maximum number of repetitions (the second preset retry count) is generally set to 3. If the retry count reaches this upper limit, the process will continue. If the standard is still not met, an alarm signal will be output indicating sensor malfunction or severe fabric unevenness. Fourth: Durability degradation trend prediction module The control unit 101 instruction device continuously and repeatedly executes the above dynamic excitation, calculation and verification process, with a total number of cycles equal to the second preset total number of cycles. For durability testing of most fabrics, this total number is usually set to 200 to 1000 cycles. For high-elasticity or high-performance fabrics (such as sportswear and compression clothing), it can be increased to 1000 to 2000 cycles. For ordinary clothing fabrics, 200 to 500 cycles are sufficient. After each loop, the system stores a set of corrected feature parameters. ,in The loop number; to be continued After each iteration, calculate the slope of the parameter evolution with the number of iterations: Hysteresis decay slope: ; Recovery time constant decay slope: ; in, The unit is 1 / cycle, which represents the increment of the air permeability hysteresis index in each cycle; The unit is seconds per cycle, representing the extension of the recovery time constant in each cycle; for new fabrics, Usually in to Second-rate Magnitude In to On the order of seconds / times; Furthermore, the control element 101 is based on fabric fatigue thresholds stored in an internal database. Calculate the predicted number of remaining safe cycles. : ; in: , The dimensionless normalized degradation rate index is used, taking the larger of the normalized values ​​of the two characteristic parameters (degradation rate) to assess the overall degradation degree of the fabric based on a conservative principle. and They are respectively and The standard attenuation rate reference value for the corresponding fabric category is as follows: Typical value at to Second-rate Magnitude Typical value at to On the order of seconds / times; This is a preset dimensionless failure threshold, typically set to 1.0, indicating that when... When this value is reached or exceeded, the rate of fabric performance degradation has reached an unacceptable level; This is the reference cycle count under standard working conditions, set according to the fabric type. For example, 500 cycles can be used for sports fabrics, and 300 cycles can be used for ordinary woven fabrics. It should be noted that when When it approaches 0 (i.e., the decay rate is extremely low). Approaching infinity indicates that the fabric's performance is extremely stable; when Approaching or exceeding hour, A value close to 0 indicates that the fabric has reached or is nearing the end of its service life; this formula conforms to the physical logic that the greater the degradation rate, the shorter the remaining life. Fifth: Trend stability test module To ensure that the decay slope is not a spurious trend caused by random fluctuations, the system performs a statistical significance test on the parameter sequence. The specific steps are as follows: Step B1: Set the length of the sliding window Calculate the local variance of the feature parameters within each sliding window; taking the air permeability hysteresis index sequence as an example, the first... The local variance of each window is: ; in, The length of the sliding window. This is the arithmetic mean of the parameters within that window; the system then calculates the average of the variances across all windows. ; It should be noted that the sliding window length Generally, the number of iterations is taken as 10% to 20% of the total number of iterations. For example, when the total number of iterations is 500... A value of 50 to 100 can be used; variance threshold setting: air permeability hysteresis index, typical value is... to Between; for the recovery time constant, a typical value is in to between; Step B2: Calculate the feature parameter sequence and cycle number Spearman rank correlation coefficient between This is used to measure the monotonicity of a parameter as it changes with the number of iterations; when When the trend is strong monotonic, it is considered reliable. Step B3: If and All are below the preset variance threshold, and If the value is greater than the first preset monotonicity threshold, the trend is determined to be stable and significant; at this point, the system confirms the final decay slope and sets the stability flag. Set it to the first state bit (e.g., logic 1); if the above conditions are not met, the system will automatically extend the number of test loops until the maximum preset limit is reached (this limit is usually no more than 1.5 times the original set number of loops); if the stability requirements still cannot be met after extension, then... Set to the second state bit (logic 0) and indicate that the fabric performance has a high degree of uncertainty; Sixth: Adaptive Sampling and Risk Management Module The adaptive sampling and risk management module ensures equipment safety and fabric integrity; the control unit 101 dynamically adjusts the device's operating parameters based on the real-time calculated attenuation slope and stability indicators; firstly, dynamic risk factors are defined. : ; in, It is a dimensionless dynamic risk factor; and This is the final decay slope confirmed by stability testing; and This is a standard attenuation rate reference value, consistent with the definition in the durability attenuation trend prediction module; and The preset weighting coefficients satisfy... It should be particularly pointed out that, and Both are dimensionless ratios, representing the acceleration of hysteresis degradation and elastic recovery degradation relative to their respective benchmarks. Their weighted summation is dimensionally correct and, in an engineering sense, corresponds to a comprehensive assessment of the degradation risks across different dimensions of the fabric. The weighting coefficients are determined based on the fabric's intended use: if the fabric is primarily intended for high elastic recovery applications (such as yoga wear), then... 0.3 is acceptable. 0.7 is acceptable; however, if maintaining breathability is a greater concern (e.g., for thinner fabrics in summer), then... 0.7 is acceptable. 0.3 can be used; for fabrics without special requirements, it is usually taken as 0.3. ; The system according to The following processing rules apply to the area in question: when When the value is below the first risk threshold: it is determined to be a normal state, and the current excitation parameters and conveying speed are maintained; the first risk threshold is usually set to 0.6 to 0.7.

[0024] when When the value is between the first risk threshold and the second risk threshold: it is determined to be in a warning state; the control component 101 instructs the tension adjustment component 7 to reduce the excitation amplitude to the first preset ratio, and at the same time reduce the sampling frequency to the second preset ratio; the first preset ratio is usually 70% to 80% of the original amplitude; the second preset ratio is usually 50% to 80% of the original sampling frequency; the second risk threshold is generally 0.9 to 1.0. when When the risk level is higher than or equal to the second risk threshold: it is determined to be a high-risk state; the control unit 101 immediately terminates the dynamic excitation through the hard wire interruption signal, instructs the tension adjustment component 7 to switch the tension adjustment roller 6 to the static locking mode, and instructs the winding component 8 and the unwinding component 3 to reduce the conveying speed to the third preset ratio (usually 20% to 30% of the original speed), while triggering an audible and visual alarm. In addition, if stability markers In the second state (unstable trend), the system automatically lowers the judgment standard of the second risk threshold (generally by 0.1-0.2) to adopt a more conservative detection strategy. Seventh: Integrated traceability report output module Control component 101 integrates the raw data and intermediate variables generated by the dynamic excitation-synchronous acquisition module, fabric porosity elastic hysteresis calculation module, response consistency verification module, durability decay trend prediction module, trend stability verification module, and adaptive sampling and risk management module to construct a multi-dimensional performance traceability report; the report content includes: compressed raw multi-dimensional excitation-response time series data (including...) Synchronous trajectory); corrected permeability hysteresis index, recovery time constant, and corresponding segment confidence level for each cycle; final confirmed attenuation slope, stability indicator, and predicted remaining safe cycles; during the detection process... All mechanical adjustment actions triggered by fluctuations are recorded along with their corresponding timestamps. This report is output to an external storage device or uploaded to a cloud management platform via the communication interface of the control unit 101, providing a complete data chain for fabric quality grade assessment and R&D improvement.

[0025] In a preferred embodiment, the controller 101 employs an incremental PID algorithm for closed-loop control of the servo linear actuator; during dynamic excitation, the displacement encoder feedback... The deviation from the command value is calculated in real time; the proportional gain of the PID controller. Integral coefficient and differential coefficients Adaptive adjustment based on the fabric's elastic modulus; The preferred value range is 0.5-5.0. The value is 0.1-1.0. The value is 0.01-0.5; for highly elastic fabrics (such as high-elasticity knitted fabrics), the system automatically increases the value. The component is used to suppress overshoot under high-speed motion, thereby controlling the distortion rate of the tension waveform to within 1.5%; As another preferred embodiment, the airflow sensing component 10 employs an array-type thermal mass flow sensor with a response time of less than 5ms, thereby ensuring... Signals and Strict alignment of signals on the time axis; if the synchronization deviation exceeds 10ms, it will cause significant artificial bias in the calculated hysteresis energy, losing its meaning in characterizing the physical properties of the fabric. Furthermore, the automatic clamping test head of the air permeability testing component 9 can adjust its clamping force according to dynamic risk factors. The change is automatically adjusted by the control component 101; the clamping force is usually set between 1N and 10N; for thin fabrics (such as silk and chiffon), 1-3N is preferred; for thick fabrics (such as denim and canvas), 5-10N is preferred, in order to balance the requirements of sealing and preventing pressure damage. Both the unwinding assembly 3 and the winding assembly 8 are equipped with a closed-loop tension control system. This system uses a tension sensor installed below the upper guide conveyor assembly 4 to obtain the static reference tension of the fabric, and adjusts the torque of the drive motor of the winding assembly 8 to compensate for the tension fluctuation caused by the change in roll diameter, thereby providing a stable initial mechanical reference for the dynamic excitation module. Finally, the electronic file generated by the integrated traceability report output module at the end of the test not only contains the statistical data listed in the table above, but also records the original trajectory diagram of the change in air permeability with tension in each cycle. Through these trajectory diagrams, researchers can clearly observe the nonlinear characteristics of pore opening during the loading stage and the hysteretic characteristics of pore closing during the unloading stage. This in-depth performance analysis provides irreplaceable data support for the structural design of high-performance sports fabrics.

[0026] It should be noted that the unwinding assembly 3, the winding assembly 8, the upper guide conveying assembly 4, the middle auxiliary roller 5, the tension adjusting roller 6, the tension adjusting assembly 7, the air permeability testing assembly 9, and the airflow sensing assembly 10 mentioned above are all conventional structures or conventional technical means known in the art. Their specific implementation methods do not constitute the improvement points of this invention. The improvement of this invention lies in the proposal of its overall layout and integrated method.

[0027] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0028] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An integrated testing device for rapid performance testing of clothing fabrics, comprising a testing cabinet (1) and a frame (2) disposed within the testing cabinet (1), characterized in that: The testing cabinet (1) has at least two transparent observation windows on one side; One end of the frame (2) is provided with an unwinding assembly (3) for unwinding the fabric, and the other end of the frame (2) is provided with a winding assembly (8) for winding the fabric. Along the fabric conveying direction, the upper guide conveying assembly (4), the middle auxiliary roller (5) and the tension regulating roller (6) are arranged sequentially above the frame (2). The frame (2) is also provided with a tension adjustment component (7) for adjusting the tension of the fabric, and the tension adjustment component (7) is connected to the tension adjustment roller (6) in a transmission connection. One side of the frame (2) is provided with an air permeability testing component (9) for testing the air permeability of the fabric during the fabric conveying process. An airflow sensing component (10) is provided on the other side of the frame (2) at the position corresponding to the air permeability test component (9). A control component (101) is provided on the outer wall of the testing cabinet (1). The control unit (101) integrates a fabric performance collaborative processing system, which includes a dynamic excitation-synchronous acquisition module, a fabric porosity elastic hysteresis calculation module, a response consistency verification module, a durability attenuation trend prediction module, a trend stability verification module, an adaptive sampling and risk management module, and an integrated traceability report output module.

2. The integrated testing device for rapid performance testing of clothing fabrics according to claim 1, characterized in that, The dynamic excitation-synchronous acquisition module is used to send a periodic displacement command with a preset waveform to the tension adjustment component (7) to drive the tension adjustment roller (6) to move. At the same time, it synchronously acquires the instantaneous air permeability signal fed back by the airflow sensing component (10), the actual dynamic tension signal fed back by the tension adjustment component (7), and the instantaneous displacement signal of the tension adjustment roller (6) fed back by the displacement encoder, and generates a multidimensional excitation-response time sequence.

3. The integrated testing device for rapid performance testing of clothing fabrics according to claim 2, characterized in that, The fabric pore elastic hysteresis calculation module is used to divide the multidimensional excitation-response time series into phases according to the excitation period, separate the loading segment and the unloading segment, and calculate the air permeability hysteresis index and the recovery time constant. The air permeability hysteresis index is used to characterize the degree of hysteresis in the air permeability response of the fabric in the stretch-recovery cycle, and the recovery time constant is used to characterize the rate at which the air permeability of the fabric recovers to the equilibrium state after the load is removed.

4. The integrated testing device for rapid performance testing of clothing fabrics according to claim 3, characterized in that, The response consistency verification module is used to divide the collected air permeability response time series into multiple continuous segments, calculate the cross-correlation coefficient between each segment and the theoretical expected response template, and remove segments with cross-correlation coefficients lower than a preset threshold as unreliable data. Only reliable segment data is extracted to recalculate the corrected air permeability hysteresis index and the corrected recovery time constant, and calculate the overall sequence confidence. When the overall sequence confidence is lower than the preset confidence threshold, the control component (101) instructs the tension adjustment component (7) to repeat the excitation and acquisition process.

5. The integrated testing device for rapid performance testing of clothing fabrics according to claim 4, characterized in that, The durability degradation trend prediction module is used to control the device to continuously and repeatedly execute the dynamic excitation, calculation and verification process to reach the preset total number of cycles. After each cycle, a set of corrected feature parameters are stored. After the cycle is completed, the slope of the air permeability hysteresis index with the number of cycles and the slope of the recovery time constant with the number of cycles are calculated. Based on the preset fabric fatigue threshold, the remaining safe number of cycles is predicted.

6. The integrated testing device for rapid performance testing of clothing fabrics according to claim 5, characterized in that, The trend stability test module is used to perform statistical significance tests on the feature parameter sequence, calculate the local variance of the feature parameters within the sliding window and the rank correlation coefficient between the feature parameter sequence and the cycle number; when the local variance is lower than the preset variance threshold and the absolute value of the rank correlation coefficient is greater than the preset monotonicity threshold, the trend is determined to be stable and significant and the final decay slope is confirmed; if the conditions are not met, the number of test cycles is automatically extended.

7. The integrated testing device for rapid performance testing of clothing fabrics according to claim 6, characterized in that, The adaptive sampling and risk handling module is used to calculate the dynamic risk factor based on the final attenuation slope calculated in real time and the preset standard attenuation rate reference value, and to execute corresponding handling rules according to the interval in which the dynamic risk factor is located: when the dynamic risk factor is lower than the first risk threshold, the current operating parameters are maintained; when the dynamic risk factor is between the first risk threshold and the second risk threshold, the excitation amplitude and sampling frequency are reduced; when the dynamic risk factor is higher than or equal to the second risk threshold, the dynamic excitation is terminated and the transmission speed is reduced, and an alarm is triggered at the same time.

8. The integrated testing device for rapid performance testing of clothing fabrics according to claim 7, characterized in that, The integrated traceability report output module is used to integrate the raw data and intermediate variables generated by each module to construct a multi-dimensional performance traceability report. The report includes the original multi-dimensional excitation-response time series data, the corrected permeability hysteresis index and recovery time constant and the corresponding sub-segment confidence level under each cycle, the finally confirmed attenuation slope and stability indicator and the predicted number of remaining safe cycles, the mechanical adjustment action record triggered during the detection process and the corresponding timestamp, and is output through the communication interface of the control unit (101).

9. The integrated testing device for rapid performance testing of clothing fabrics according to claim 8, characterized in that, The control unit (101) uses an incremental PID algorithm to perform closed-loop control on the tension adjustment component (7). The proportional coefficient, integral coefficient and derivative coefficient of the PID controller are adaptively adjusted according to the elastic modulus of the fabric to suppress overshoot under high-speed motion and control the distortion rate of the tension waveform within a preset range.

10. The integrated testing device for rapid performance testing of clothing fabrics according to claim 9, characterized in that, The airflow sensing component (10) adopts an array-type thermal mass flow sensor with a response time of less than 5 milliseconds to ensure strict alignment of the instantaneous air permeability signal and the dynamic tension signal on the time axis; the clamping force of the automatic clamping test head of the air permeability testing component (9) is automatically adjusted by the control component (101) according to the change of the dynamic risk factor.

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