Cloth performance detection process for garment production

Abstract

The invention discloses a cloth performance detection process for garment production, and relates to the technical field of garment cloth performance detection, a detection module is used for detecting the ultraviolet light intensity ZQ0 of current cloth before incidence, the ultraviolet light intensity ZQ1 after penetrating through the cloth and the cloth thickness h, and a data processing and analysis module is used for processing and analyzing the cloth in a storage unit of the data processing and analysis module. The method comprises the following steps: extracting a sample cloth transmissivity TSL0, a reference cloth transmissivity TSLref, a previous chemical absorption coefficient Hprev, a chemical absorption maximum coefficient Hmax and previous n transmissivity TSL of cloth of the same type, sequentially inputting, and respectively calculating and outputting the transmissivity TSL, the chemical absorption coefficient H and the physical stability index WW of the current cloth, the data processing and analysis module is used for detecting and analyzing the performance of the current cloth and performing adjustment, the accuracy of a measurement result is improved, the difference between different batches is eliminated, meanwhile, the relevance between data is closely combined, a cyclic feedback mechanism is further established, and the cloth performance problem can be found in time.

Description

Technical Field

[0001] The present invention relates to the technical field of performance detection of clothing fabrics, and specifically relates to a process for detecting the performance of fabrics used in clothing production. Background Art

[0002] In the process of clothing production, the quality stability of fabrics is the key to ensuring the quality of the final product. To ensure the quality stability of fabrics, a series of performance tests are required, including appearance inspection, dimensional stability inspection, and fabric performance inspection. These inspections can comprehensively evaluate key indicators such as the surface flatness, color difference, breaking strength, dimensional change rate, moisture absorption, air permeability, abrasion resistance, and acid-base resistance of the fabric, thereby ensuring that the fabric can maintain stable quality during the production process.

[0003] Among them, the detection of fabric performance is a crucial link. In the existing technology, the measurement of ultraviolet light transmittance is often affected by factors such as the intensity of the light source and the accuracy of the measuring instrument, resulting in errors in the measurement results. In addition, there is often a lack of unified standards and the selection of reference fabrics in the existing technology, which affects the comparability and accuracy of the calculation results. Moreover, there is no effective feedback mechanism in the existing technology, and the detection results of fabric performance detection cannot be timely feedback to the processes of fabric production, optimization, and fabric performance detection itself, thus limiting the further improvement of fabric performance. Summary of the Invention

[0004] The purpose of the present invention is to provide a process for detecting the performance of fabrics used in clothing production, and solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions, and the specific implementation steps are as follows: Step S1: Use the detection module to detect the incident ultraviolet light intensity ZQ0, the ultraviolet light intensity ZQ1 after passing through the fabric, and the fabric thickness h of the current fabric respectively; Step S2: Extract the transmittance TSL0 of the sample fabric, the transmittance TSL ref , the previous chemical absorption coefficient H prev , the maximum chemical absorption coefficient H max and the previous n transmittances TSL of the same type of fabric from the storage unit in the data processing and analysis module, and input and calculate the transmittance TSL, chemical absorption coefficient H, and physical stability index WW of the current fabric respectively; Step S3: Based on the physical stability index WW, use the data processing and analysis module to detect and analyze the performance of the current fabric, and make adjustments according to the performance of the current fabric; Among them, the data processing and analysis module includes a unit for measuring the ultraviolet protection ability of the fabric, a unit for evaluating the chemical absorption performance of the fabric, and a unit for evaluating the physical stability of the fabric.

[0006] Optionally, the steps for the detection module to detect the ultraviolet light intensity are as follows: Step S1.1: Before detecting the current fabric, the detection module adjusts and measures the value of the incident ultraviolet light intensity ZQ0 according to the previous detection adjustment, that is, adjusts and measures the light intensity emitted by the detection module when there is no fabric occlusion. After adjustment, place the current fabric on the detection optical path position of the detection module, and detect and update the value of the ultraviolet light intensity ZQ1 after passing through the fabric.

[0007] Optionally, the calculation formula of the unit for measuring the ultraviolet protection ability of the fabric is as follows: TSL = (ZQ1 / ZQ0) × 100%; Where: TSL is the transmittance; ZQ1 is the ultraviolet light intensity after passing through the fabric; ZQ0 is the incident ultraviolet light intensity.

[0008] Optionally, the calculation formula of the unit for evaluating the chemical absorption performance of the fabric is as follows: H = [2.303 × log10(TSL0 / TSL)] / h + [(TSL - TSL ref ) / TSL ref ; Where: H is the chemical absorption coefficient; 2.303 is the conversion from the natural logarithm (ln) to the common logarithm (log10), that is, 2.303 ≈ ln10 / 10; TSL0 is the transmittance of the sample fabric, and TSL0 reflects the transmittance TSL of the initial finalized sample of the currently produced fabric of the same type; h is the fabric thickness; TSL ref is the transmittance of the reference fabric, and TSL ref Specifically, it is the transmittance TSL of any piece of fabric of the same type as the current fabric but with known performance. "The same type" means that the fiber composition and basic parameters of the fabric structure are the same, and "known performance" means that the ultraviolet light transmittance TSL of this piece of fabric has been experimentally determined and recorded in the internal storage unit.

[0009] Optionally, the calculation formula of the unit for evaluating the physical stability of the fabric is as follows: ; Wherein: WW is the physical stability index; H prev is the previous chemical absorption coefficient, and H prev reflects the chemical absorption coefficient H measured during the previous test of the current fabric; ΔTSL is the transmittance difference, and ΔTSL reflects the degree of difference in the transmittance TSL measured between the current and the previous fabric tests; TSL avg is the average transmittance; H max is the maximum chemical absorption coefficient, and H max reflects the maximum degree of chemical absorption measured in fabrics of the same type as the current fabric.

[0010] Optionally, the calculation formula for the transmittance difference ΔTSL is as follows: ΔTSL = TSL prev - TSL; TSL prev is the previous transmittance, and TSL prev reflects the transmittance TSL measured during the previous test of the current fabric; The calculation formula for the average transmittance TSL avg is as follows: TSL avg =(TSL1 + TSL2 + TSL3 +...... + TSL n ) / n; n is the cumulative number of tests, and n reflects the total number of times the current fabric has been cumulatively tested; TSL1 is the transmittance of the first test, TSL2 is the transmittance of the second test, TSL3 is the transmittance of the third test, and TSL n is the transmittance of the nth test; The transmittance of the nth test TSL n is the previous transmittance TSL prev .

[0011] Optionally, the detection and analysis based on the physical stability index WW are as follows: Compare the physical stability index WW0 of the initial finalized sample that produces the current fabric of the same type, undergoes the same detection process, and is recorded in the storage unit, with the current physical stability index WW; If the current physical stability index WW is higher than the physical stability index WW0, and considering that the performance of the previous n physical stability indices WW has been continuously fluctuating smoothly, it indicates that the physical stability of the current fabric is poor, but the change is relatively stable. Before the next test, the value of the incident ultraviolet light intensity ZQ0 should be reduced; If the current physical stability index WW is lower than the physical stability index WW0, and the performance of the physical stability index WW in the previous n times shows continuous gentle fluctuations, it indicates that the physical stability of the current fabric is good and the performance is stable. Before the next detection, the value of the incident ultraviolet light intensity ZQ0 should be reduced. If the current physical stability index WW is lower than the physical stability index WW0, and the performance of the physical stability index WW in the previous n times shows continuous decrease, it indicates that the physical stability of the fabric is gradually deteriorating. The detection should be stopped and the production process and raw material quality of the fabric should be checked.

[0012] Optionally, the equipment used in the detection module includes an ultraviolet light intensity measuring instrument and a thickness measuring instrument. The equipment used in the data processing and analysis module includes a data processing and analysis system.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: First, the present invention uses a more stable light source and a higher-precision measuring instrument to measure the ultraviolet light transmittance. At the same time, by taking the average value of multiple measurements, that is, calculating the average transmittance TSL avg to improve the accuracy of the measurement results.

[0014] Second, by formulating a unified sample standard and a reference calculation method of randomly selecting reference fabrics, the present invention can not only quickly screen out problematic fabrics and timely adjust the detection process, but also eliminate the differences between different batches, making the test results more accurate and comparable, and intuitively evaluating the performance differences between the two, which helps to discover problems existing in the production and processing and detection of fabrics and provides a direction for performance optimization.

[0015] Third, through the established feedback mechanism, the present invention timely feeds back the result of the physical stability index WW to the processes of fabric production, optimization, and fabric performance detection itself. Specifically, when the physical stability index WW changes, the change trend of the fabric performance can be immediately detected, and according to the change trend of the physical stability index WW, the influence of the current test conditions and fabric parameters on fabric detection can be judged, and targeted and timely adjustment can be achieved accordingly, which helps to timely discover fabric performance problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a method flow chart of the fabric performance detection process for clothing production; Figure 2 is a method flow chart of the ultraviolet light intensity detection by the detection module in the fabric performance detection process for clothing production; Figure 3 is a module structure diagram of the fabric performance detection process for clothing production; Figure 4 This is a schematic structural diagram of the data processing and analysis module of the present invention. Specific embodiments

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] Regarding the fabric performance detection process for clothing production, different from the existing fabric performance detection, there are errors in the measurement results of the existing fabric performance detection, and there is a lack of unified standards and the selection of reference fabrics, resulting in the comparability and accuracy of the calculation results being affected. In addition, there is a lack of an effective feedback mechanism in the existing technology, reducing the timeliness and accuracy of discovery and adjustment. However, this algorithm unit improves the accuracy of the measurement results, eliminates the differences between different batches while closely combining the correlation between data, making the test results more accurate and comparable, and also establishes a cyclic feedback mechanism, which helps to timely discover fabric performance problems and achieve targeted timely adjustment accordingly.

[0019] Example 1, please refer to Figures 1 to 4 This embodiment provides a fabric performance detection process for clothing production, and the specific implementation steps are as follows: Step S1: Use the detection module to respectively detect the pre-incident ultraviolet light intensity ZQ0, the ultraviolet light intensity ZQ1 after passing through the fabric, and the fabric thickness h of the current fabric; Step S2: Extract the transmittance TSL0 of the sample fabric, the transmittance TSL ref of the previous chemical absorption coefficient H prev of the maximum chemical absorption coefficient H max and the transmittance TSL of the previous n times of the same type of fabric from the storage unit in the data processing and analysis module, and input and calculate the transmittance TSL, chemical absorption coefficient H, and physical stability index WW of the current fabric in turn; Step S3: Based on the physical stability index WW, use the data processing and analysis module to detect and analyze the performance of the current fabric, and make adjustments according to the performance of the current fabric; Among them, the data processing and analysis module includes a unit for measuring the ultraviolet light protection ability of the fabric, a unit for evaluating the chemical absorption performance of the fabric, and a unit for evaluating the physical stability of the fabric; The steps for the detection module to detect the ultraviolet light intensity are as follows: Step S1.1: Before detecting the current fabric, the detection module adjusts and measures the value of the incident pre-ultraviolet light intensity ZQ0 according to the previous detection adjustment, that is, adjusts and measures the light intensity emitted by the detection module when there is no fabric occlusion. Step S1.2: After adjustment, place the current fabric on the detection optical path position of the detection module, and detect and update the value of the ultraviolet light intensity ZQ1 after passing through the fabric. The equipment used by the detection module includes an ultraviolet light intensity measuring instrument and a thickness measuring instrument. The equipment used by the data processing and analysis module includes a data processing and analysis system.

[0020] In this embodiment, the system forms a comprehensive evaluation system for fabric performance through the mutual cooperation of three algorithm units. Combining the calculation results of TSL, H, and WW, specifically, TSL is the transmittance, which is an important indicator for measuring the ultraviolet light protection ability of the fabric. By calculating the ratio of the ultraviolet light intensity ZQ1 after passing through the fabric to the incident pre-ultraviolet light intensity ZQ0, and then multiplying by 100%, the transmittance TSL of the fabric's ultraviolet light can be obtained. This calculation result provides basic data for subsequent analysis. H is the chemical absorption coefficient, which is closely related to the fabric's absorption ability of ultraviolet light. Combining with the transmittance TSL, it helps to understand the fabric's absorption ability of chemical substances, thereby optimizing the fabric's chemical composition, production, and process. WW is the physical stability index. This calculation result not only helps to understand the physical stability of the fabric but also serves as feedback for adjusting and optimizing the test conditions and fabric parameters in TSL, thereby further affecting H and WW. Through cyclic influence, WW can promote the continuous improvement and optimization of fabric performance, making the calculations between the three algorithms of the system not only improve the accuracy and reliability of fabric performance evaluation but also provide strong support for the improvement and optimization of the fabric.

[0021] Please refer to Figures 1 to 4 , the calculation formula for the unit measuring the ultraviolet light protection ability of the fabric is as follows: TSL = (ZQ1 / ZQ0) × 100%; Where: TSL is the transmittance; ZQ1 is the ultraviolet light intensity after passing through the fabric; ZQ0 is the incident pre-ultraviolet light intensity.

[0022] In this embodiment: First, the "ZQ1 / ZQ0" calculation part in this algorithm unit calculates the ratio of the ultraviolet light intensity ZQ1 after passing through the fabric to the ultraviolet light intensity ZQ0 before incidence. This ratio reflects the blocking ability of the fabric to ultraviolet light, that is, what proportion of ultraviolet light the fabric can allow to pass through. The transmittance TSL is a key indicator for evaluating the ultraviolet light protection performance of the fabric, and the transmittance TSL is also the core output of the unit for measuring the ultraviolet light protection ability of the fabric. It directly represents the ultraviolet light transmission performance of the fabric. Subsequent analyses, including the calculation of the chemical absorption coefficient in the unit for evaluating the chemical absorption performance of the fabric and the evaluation of physical stability in the unit for evaluating the physical stability of the fabric, all need to be based on the transmittance TSL; This algorithm quantifies the ultraviolet light transmittance TSL of the fabric into a specific percentage value through the mathematical model of the unit for measuring the ultraviolet light protection ability of the fabric. This quantification evaluation method makes the evaluation results more intuitive and accurate, facilitating understanding and comparison. Through the quantification evaluation, the ultraviolet light protection ability of the fabric can be clearly understood, laying a solid foundation for the subsequent calculation of the chemical absorption coefficient H and the evaluation of physical stability; The introduction of the unit for measuring the ultraviolet light protection ability of the fabric makes the test process more standardized. By setting unified test conditions and parameters, it can ensure that the results of each test are comparable, thus improving the accuracy and reliability of the test. The establishment of a standardized test process helps to promote the standardization and normalization process of the performance detection technology of fabrics used in clothing production. According to the test results of the transmittance TSL, the production process of the fabric can be adjusted and optimized. Thereby, not only can the quality of the fabric be improved, but also the production cost can be reduced and the production efficiency can be increased.

[0023] Please refer to Figures 1 to 4 , the calculation formula of the unit for evaluating the chemical absorption performance of the fabric is as follows: H = [2.303×log10(TSL0 / TSL)] / h + [(TSL - TSL ref ) / TSL ref ; Where: H is the chemical absorption coefficient; 2.303 is the conversion from the natural logarithm (ln) to the common logarithm (log10), that is, 2.303 ≈ ln10 / 10; TSL0 is the transmittance of the sample fabric, and TSL0 reflects the transmittance TSL of the initial finalized sample for producing the same type of fabric currently; h is the fabric thickness; TSL ref is the transmittance of the reference fabric, TSL refSpecifically, it is the transmittance TSL of any piece of fabric of the same type as the current fabric but with known performance. "The same type" means that the fiber composition and the basic parameters of the fabric structure are the same, and "known performance" means that the ultraviolet light transmittance TSL of this piece of fabric has been measured through experiments and recorded inside the storage unit.

[0024] In this embodiment, first, the calculation part of "2.303×log10(TSL0 / TSL)" calculates the result of multiplying the logarithmic function log10(TSL0 / TSL) with base 10 by the constant 2.303. Here, TSL0 is the transmittance of the sample fabric, and TSL is the ultraviolet light transmittance of the current fabric. This calculation reflects the difference in ultraviolet light transmittance TSL between the current fabric and the standard sample fabric, and through the logarithmic function, this difference is converted into a part of the chemical absorption coefficient H. The chemical absorption coefficient H is an important indicator to measure the chemical absorption ability of the fabric to ultraviolet light. This calculation part is an important part of the chemical absorption coefficient H in the unit for evaluating the chemical absorption performance of the fabric. By combining with the product of the fabric thickness h, the difference between the reference fabric transmittance TSL ref and the difference of the current fabric transmittance TSL, they jointly determine the value of the chemical absorption coefficient H. The magnitude of the chemical absorption coefficient H reflects the chemical absorption ability of the fabric to ultraviolet light and is a key parameter for evaluating the fabric performance; “(TSL - TSL ref ) / TSL ref ” The calculation part calculates the ratio of the difference between the reference fabric transmittance TSL ref and the current fabric transmittance TSL relative to the difference between the sample fabric transmittance TSL0 and the reference fabric transmittance TSL ref This calculation further considers the difference in ultraviolet light transmittance TSL between the current fabric and the reference fabric. This calculation part helps to more comprehensively evaluate the chemical absorption performance of the fabric. The result of this calculation part is added to the result of "2.303×log10(TSL0 / TSL)", jointly determining the value of the chemical absorption coefficient H. It provides additional information about the difference between the fabric performance and the reference fabric performance, helping to more accurately evaluate the chemical absorption ability of the fabric; This algorithm, through the unit for evaluating the chemical absorption performance of the fabric, not only considers the transmittance TSL of the fabric but also introduces the factor of the fabric thickness h. This comprehensive evaluation method makes the evaluation result more comprehensive and can more accurately reflect the chemical absorption performance of the fabric. Through comprehensive evaluation, it is possible to more deeply understand the absorption ability of the fabric to chemical substances, providing strong support for the subsequent physical stability evaluation; In the unit for evaluating the chemical absorption performance of fabrics, the ultraviolet light transmittance TSL of standard sample fabrics and reference fabrics is introduced. This enables the performance of the current fabric to be compared horizontally. Through comparison, the advantages and disadvantages of the current fabric can be evaluated more accurately, and potential performance problems can be discovered. The introduction and comparison of reference fabrics contribute to the continuous improvement and optimization of fabric performance and the enhancement of the overall quality of fabrics. Among them, it is worth noting that due to production processes and raw material factors, there will be differences in the performance of fabrics from different batches. By introducing the transmittance TSL of reference fabrics ref as a reference standard, such batch differences can be eliminated, making the test results more accurate and comparable. During the testing process, due to equipment precision and operation methods, certain test errors will occur. By referring to the transmittance TSL of reference fabrics ref it can be used as a calibration method to reduce the impact of such errors on the test results and improve the accuracy of the test. The transmittance TSL of reference fabrics ref As a fabric with known performance, its ultraviolet light transmittance is stable and reliable. By referring to the transmittance TSL of reference fabrics in the test ref , a stable reference value can be provided to evaluate whether the performance of the current fabric meets the standard and whether there are abnormalities. Since the value of the transmittance TSL of reference fabrics ref has been determined through experiments and recorded, it can be repeatedly referred to and verified in subsequent tests. This helps to ensure the reliability and consistency of the test results and provides strong support for the performance evaluation of fabrics. By comparing the transmittance TSL of the current fabric with the transmittance TSL of the reference fabric ref , the performance difference between the two can also be intuitively evaluated. This helps to discover problems existing in the production and processing of fabrics and provides a direction for performance optimization. According to the performance difference between the current fabric and the transmittance TSL of the reference fabric ref , it is possible to guide the adjustment of test conditions and fabric parameters. Specifically, if the transmittance TSL of the current fabric is higher than the transmittance TSL of the reference fabric ref , then it is necessary to reduce the intensity of the test light source and adjust the fiber composition of the fabric to lower the transmittance TSL. By continuously referring to the transmittance TSL of the reference fabric ref for performance evaluation and comparison, it can stimulate technological innovation and R & D motivation to improve the ultraviolet light protection performance of fabrics. Based on the calculation results of the chemical absorption coefficient H, this algorithm unit can further improve and optimize the chemical composition and production process of fabrics. Specifically, by adding specific chemical additives and adjusting production process parameters, the chemical absorption performance and stability of fabrics can be improved, thereby guiding the direction of improvement and optimization and making the production of fabrics more scientific and reasonable, which helps to improve the quality and performance of fabrics.

[0025] Please refer to Figures 1 to 4 , the calculation formula of the fabric physical stability unit is as follows: ; Where: WW is the physical stability index; H prev is the previous chemical absorption coefficient, H prev reflects the chemical absorption coefficient H measured in the previous detection of the current fabric; ΔTSL is the transmittance difference, and ΔTSL reflects the difference degree of the transmittance TSL measured in the current and previous fabric detections; TSL avg is the average transmittance; H max is the maximum chemical absorption coefficient, H max reflects the maximum degree of chemical absorption measured in the same type of fabric as the current fabric; The calculation formula of the transmittance difference ΔTSL is as follows: ΔTSL = TSL prev - TSL; TSL prev is the previous transmittance, TSL prev reflects the transmittance TSL measured in the previous detection of the current fabric; The calculation formula of the average transmittance TSL avg is as follows: TSL avg =(TSL1 + TSL2 + TSL3 +......+ TSL n ) / n; n is the cumulative detection times, and n reflects the total number of detections of the current fabric; TSL1 is the transmittance of the first detection, TSL2 is the transmittance of the second detection, TSL3 is the transmittance of the third detection, TSL n is the transmittance of the nth detection; The transmittance of the nth detection TSL n is the previous transmittance TSL prev .

[0026] In this embodiment, the " " calculation part of this algorithm unit calculates the square of the difference between the current chemical absorption coefficient H and the previous chemical absorption coefficient H prev . This calculation reflects the change degree of the fabric chemical absorption performance and is one of the important indicators for evaluating the fabric physical stability. This calculation part is related to the " ", the " " and the " ”The calculation part together constitutes the calculation formula of the physical stability index WW, which provides information about the stability of the chemical absorption performance of the fabric, helps to discover the change trend and potential problems of the fabric performance.“ ”The calculation part calculates the square of the ratio of the transmittance difference ΔTSL to the average transmittance TSL of multiple tests“ avg ”This calculation reflects the degree of change in the fabric transmittance and is also one of the important indicators for evaluating the physical stability of the fabric.“ ”The calculation part calculates the difference between the ratio of the current chemical absorption coefficient H of the fabric to the maximum chemical absorption coefficient H minus 1.“ max ”This calculation reflects the difference between the current chemical absorption performance and the maximum absorption performance of the fabric and is an important indicator for evaluating the performance limit of the fabric. This calculation part, combined with the above calculation part, jointly determines the value of the physical stability index WW, which provides information about the difference between the fabric performance and the performance limit, helps to discover the potential improvement space and optimization direction of the fabric performance;“ ”In this embodiment, this algorithm is based on the unit for evaluating the physical stability of the fabric, considering the changes in the chemical absorption coefficient H, the transmittance TSL, and the comparison factor with the maximum chemical absorption coefficient H“ max ”This makes the evaluation results more comprehensive and accurate. This comprehensive evaluation method can more deeply reflect the physical stability status of the fabric. Through comprehensive evaluation, unstable factors in the fabric performance can be discovered in a timely manner, providing strong support for subsequent improvement and optimization;“ ”The unit for evaluating the physical stability of the fabric also establishes an early warning mechanism by calculating the physical stability index WW. The establishment of the early warning mechanism helps to improve the quality control and risk management levels of fabric production. According to the results of the physical stability evaluation, the production process and test conditions of the fabric can be optimized and adjusted. Specifically, by adjusting the production process parameters and improving the test methods, the physical stability and overall performance of the fabric can be improved.“

[0027] Example 2, please refer to Figures 1 to 4 , and the detection and analysis based on the physical stability index WW are as follows: Compare the physical stability index WW0 of the initial finalized sample of the currently produced same - type fabric with the same detection process and recorded in the storage unit with the current physical stability index WW; If the current physical stability index WW is higher than the physical stability index WW0, and the performance of the previous n physical stability indices WW shows a continuous and gentle fluctuation, it indicates that the physical stability of the current fabric is poor but the change is relatively stable. Before the next detection, the value of the incident pre - ultraviolet light intensity ZQ0 should be reduced; If the current physical stability index WW is lower than the physical stability index WW0, and the performance of the physical stability index WW in the previous n times shows continuous and gentle fluctuations, it indicates that the physical stability of the current fabric is good and the performance is stable. Before the next detection, the value of the incident ultraviolet light intensity ZQ0 should be reduced. If the current physical stability index WW is lower than the physical stability index WW0, and the performance of the physical stability index WW in the previous n times shows continuous decrease, it indicates that the physical stability of the fabric is gradually deteriorating. The detection should be stopped and the production process and raw material quality of the fabric should be checked.

[0028] In this embodiment, the physical stability index WW calculated by the fabric physical stability evaluation unit can evaluate the physical stability of the fabric in real time. When the physical stability index WW changes, the change trend of the fabric performance can be immediately detected. This real-time evaluation and monitoring mechanism helps to timely discover fabric performance problems, provides timely information support for subsequent adjustment and optimization, and can judge whether the current test conditions and fabric parameters are appropriate according to the change trend of the physical stability index WW. Specifically, if the physical stability index WW is continuously too large, it means that the test conditions are too harsh and the fabric parameters need to be adjusted. By adjusting the test conditions and fabric parameters, the performance of the fabric can be gradually optimized. This optimization process is based on the feedback of the physical stability index WW, so it is targeted and effective. And through the loop feedback mechanism, the test conditions and fabric parameters can be continuously adjusted and optimized, so as to improve the physical stability and overall performance of the fabric. The optimized fabric parameters and test conditions help to reduce production costs, improve production efficiency and product quality. In addition, according to the detection and analysis result of "if the current physical stability index WW is higher than the physical stability index WW0, and the performance of the physical stability index WW in the previous n times shows continuous and gentle fluctuations", it can be judged that the physical stability of the fabric is poor but relatively stable. To improve this situation, the following measures can be taken: Adjust the test conditions: reduce the light source intensity and shorten the test time to reduce overexposure and damage to the fabric. Optimize the fabric parameters: change the fiber composition and fabric structure to improve the ultraviolet light resistance and physical stability of the fabric. By implementing these measures and retesting, it can be observed that the physical stability index WW gradually decreases and tends to be stable, which indicates that the physical stability of the fabric has been improved and the optimization measures are effective. In summary, the influence of the physical stability index WW in the unit for evaluating the physical stability of the fabric on the cyclic feedback of the unit for measuring the ultraviolet light protection ability of the fabric is reflected in the aspects of real-time evaluation and monitoring of the fabric performance, optimization of the test conditions and fabric parameters, and improvement of the fabric performance and quality. This cyclic feedback mechanism helps the fabric to continuously improve and optimize the product performance, enhance the fabric stability and the accuracy of detecting stability.

[0029] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A fabric performance detection process for clothing production, characterized in that, The specific implementation steps are as follows: Step S1: Use the detection module to detect the incident pre-ultraviolet light intensity ZQ0, the ultraviolet light intensity ZQ1 after passing through the fabric, and the fabric thickness h of the current fabric respectively; Step S2: Extract the transmittance TSL0 of the sample fabric, the reference fabric transmittance TSL, from the storage unit in the data processing and analysis module ref , the previous chemical absorption coefficient H prev , the maximum chemical absorption coefficient H max and the transmittances TSL of the previous n times of the same type of fabric, and input them in sequence and calculate and output the transmittance TSL, the chemical absorption coefficient H, and the physical stability index WW of the current fabric respectively; Step S3: Based on the physical stability index WW, use the data processing and analysis module to detect and analyze the performance of the current fabric, and make adjustments according to the performance of the current fabric; Among them, the data processing and analysis module includes a unit for measuring the ultraviolet light protection ability of the fabric, a unit for evaluating the chemical absorption performance of the fabric, and a unit for evaluating the physical stability of the fabric.

2. The fabric performance detection process for clothing production according to claim 1, characterized in that, The steps for the detection module to detect the ultraviolet light intensity are as follows: Step S1.1: Before detecting the current fabric, the detection module adjusts and measures the value of the incident pre-ultraviolet light intensity ZQ0 according to the previous detection adjustment, that is, adjusts and measures the light intensity emitted by the detection module when there is no fabric blockage; Step S1.2: After adjustment, place the current fabric on the detection optical path position of the detection module, and detect and update the value of the ultraviolet light intensity ZQ1 after passing through the fabric.

3. A fabric performance detection process for clothing production according to claim 2, characterized in that: The calculation formula of the unit for measuring the ultraviolet light protection ability of the fabric is as follows: TSL=(ZQ1 / ZQ0)×100%; Where: TSL is the transmittance; ZQ1 is the ultraviolet light intensity after passing through the fabric; ZQ0 is the incident pre-ultraviolet light intensity.

4. A fabric performance detection process for clothing production according to claim 3, characterized in that: The calculation formula of the unit for evaluating the chemical absorption performance of the fabric is as follows: H = [2.303×log10(TSL0 / TSL)] / h + [(TSL - TSL ref ) / TSL ref ; Where: H is the chemical absorption coefficient; 2.303 is the conversion from the natural logarithm (ln) to the common logarithm (log10), that is, 2.303≈ln10 / 10; TSL0 is the transmittance of the sample fabric, and TSL0 reflects the transmittance TSL of the initial finalized sample for producing the current same type of fabric; h is the fabric thickness; TSL ref is the transmittance of the reference fabric, TSL ref Specifically, it is the transmittance TSL of any piece of fabric of the same type as the current fabric but with known performance. "The same type" means that the fiber composition and the basic parameters of the fabric structure are the same, and "known performance" means that the ultraviolet light transmittance TSL of this piece of fabric has been measured and recorded in the internal storage unit through experiments.

5. A fabric performance detection process for clothing production according to claim 4, characterized in that: The calculation formula of the unit for evaluating the physical stability of the fabric is as follows: ； Where: WW is the physical stability index; H prev is the previous chemical absorption coefficient, H prev reflects the chemical absorption coefficient H measured during the previous detection of the current fabric; ΔTSL is the transmittance difference, and ΔTSL reflects the difference degree between the transmittance TSL measured in the current fabric detection and the previous fabric detection; TSL avg is the average transmittance; H max is the maximum coefficient of chemical absorption, H max reflects the maximum degree of chemical absorption measured in fabrics of the same type as the current fabric.

6. The fabric performance detection process for clothing production according to claim 5, characterized in that: The calculation formula of the transmittance difference ΔTSL is as follows: ΔTSL = TSL prev -TSL; TSL prev is the previous transmittance, TSL prev reflects the transmittance TSL measured during the previous detection of the current fabric; The average transmittance TSL avg is calculated by the following formula: TSL avg =(TSL1 + TSL2 + TSL3 +...... + TSL n ) / n; n is the cumulative detection times, and n reflects the total number of times the current fabric has been cumulatively detected; TSL1 is the transmittance of the first detection, TSL2 is the transmittance of the second detection, TSL3 is the transmittance of the third detection, and TSL n is the transmittance of the nth detection; The nth measured transmittance TSL n is the previous transmittance TSL prev .

7. A fabric performance detection process for clothing production according to claim 6, characterized in that: The detection and analysis based on the physical stability index WW are as follows: Compare the physical stability index WW0 of the initial finalized sample that produces the current same type of fabric and undergoes the same detection process and is recorded in the storage unit with the current physical stability index WW; If the current physical stability index WW is higher than the physical stability index WW0, and considering that the performance of the physical stability index WW in the previous n times shows a continuous and gentle fluctuation, it indicates that the physical stability of the current fabric is poor, but the change is relatively stable. Before the next detection, the value of the incident pre-ultraviolet light intensity ZQ0 should be reduced; If the current physical stability index WW is lower than the physical stability index WW0, and considering that the performance of the physical stability index WW in the previous n times shows a continuous and gentle fluctuation, it indicates that the physical stability of the current fabric is good and the performance is stable. Before the next detection, the value of the incident pre-ultraviolet light intensity ZQ0 should be reduced; If the current physical stability index WW is lower than the physical stability index WW0, and the physical stability index WW has shown a continuous decrease in the previous n times, it indicates that the physical stability of the fabric is gradually deteriorating. The detection should be stopped, and the production process and raw material quality of the fabric should be checked.

8. A fabric performance detection process for clothing production according to claim 2, characterized in that: The equipment used in the detection module includes an ultraviolet light intensity measuring instrument and a thickness measuring instrument; The equipment used in the data processing and analysis module includes a data processing and analysis system.

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