Textile quality detection method based on data analysis

Abstract

The invention discloses a textile quality detection method based on data analysis, and relates to the technical field of quality detection. The method comprises the steps of obtaining a textile appearance quality detection data set, obtaining a textile appearance quality evaluation value through comprehensive analysis, obtaining a textile physical performance detection data set, obtaining a textile physical performance evaluation value through comprehensive analysis, obtaining a textile functional detection data set, and obtaining a textile functional detection evaluation value through comprehensive analysis. According to the textile quality detection system and method, the problems that due to the fact that an existing textile quality detection system is single in detection method, quality detection is not comprehensive enough, the calculation complexity is high, the processing speed is low, and the real-time performance and the detection efficiency are affected are solved; various performance indexes of textiles are evaluated more comprehensively, the product quality is ensured, the detection efficiency and accuracy are improved, real-time detection and feedback are achieved, and the automation level and the production efficiency of a production line are improved.

Description

Technical Field

[0001] The invention relates to the technical field of quality detection, and in particular to a textile quality detection method based on data analysis. Background Art

[0002] The quality of textiles directly affects their final price. Therefore, quality testing is an essential part of the textile manufacturing process to ensure product quality and consumer safety. Textile quality testing can ensure the safety and environmental friendliness of products, prevent harmful substances from harming the human body, and timely discover and solve potential quality problems through testing, reduce waste and losses in the production process, improve production efficiency, help improve the competitiveness of enterprises, and provide consumers with high-quality, safe and reliable textiles.

[0003] There are many different methods for textile quality testing, covering a variety of techniques and tools. Common textile quality testing methods include visual inspection, physical property testing, chemical analysis, mechanical testing, textile image analysis, infrared spectroscopy, ultrasonic testing, and smart sensor monitoring. These methods are often used in combination, and appropriate methods are selected for textile quality testing according to different needs and application scenarios.

[0004] For example, the invention patent with announcement number CN114264723A is a textile quality detection system and method based on ultrasonic detection, which belongs to the field of product detection technology, including ultrasonic detection module, transmission module, image acquisition module, and control processing module. By scanning and detecting the textile to be detected line by line, the corresponding energy-displacement curve is obtained, the energy-displacement curve is identified by the trained curve recognition model, and the defect recognition and judgment result of the energy-displacement curve is output, and then the defect type, the horizontal horizontal position interval and the horizontal longitudinal position interval of the defect are preliminarily obtained; then the defect type is used to qualitatively judge whether the defect exists again through the total length data of the contour line of the textile to be detected under the corresponding viewing angle, which plays a role in avoiding false detection and ensuring the accuracy of defect detection; at the same time, the labor cost of quality control is greatly reduced, and the detection operation is highly automated, which is worthy of promotion and use.

[0005] For example, the invention patent with announcement number CN107064160B is a textile surface defect detection method and system based on saliency detection, including: putting on and rolling up textiles, removing foreign matter from the textile surface and unfolding textiles; capturing the surface image of textiles during motion; adjusting the brightness and exposure time during the capture motion; removing the distorted part and noise of the textile surface image; performing defect detection on the textile surface image to generate detection results; generating and printing quality reports based on the detection results of the image surface defect analysis module. It can collect images and analyze data for a variety of wide-width textiles, accurately analyze the location of textile surface defects, and automatically print reports and defect distribution maps to reflect the quality of textiles. It has a high degree of automation and fast detection speed, can minimize human participation, and reduce the burden on fabric inspectors, and has a wide range of applications.

[0006] Combined with the above technical solutions, it is found that at present, when conducting quality inspection on textiles, only one aspect of the textiles can be inspected, and the inspection method is single, which makes the quality inspection not comprehensive enough. In application scenarios with high real-time requirements, traditional data analysis and processing methods may have problems of high computational complexity and slow processing speed, which affects the real-time and inspection efficiency. Summary of the invention

[0007] In view of the shortcomings of the prior art, the present invention provides a textile quality detection method based on data analysis, which solves the problem that the existing textile quality detection system has a single detection method, resulting in incomplete quality detection, high calculation complexity, slow processing speed, thus affecting real-time performance and detection efficiency.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a textile quality detection method based on data analysis, comprising the following steps: performing appearance quality detection on textiles to obtain a textile appearance quality detection data set, analyzing the textile appearance quality detection data set to obtain textiles with qualified appearance quality, performing physical property detection on the textiles with qualified appearance quality to obtain a textile physical property detection data set; analyzing the textile physical property detection data set to obtain textiles with qualified physical properties, performing functional detection on the textiles with qualified physical properties to obtain a textile functional detection data set; analyzing the textile functional detection data set to obtain textiles with qualified functionality, performing chemical property detection on the textiles with qualified functionality to obtain a textile chemical property detection data set; analyzing the textile chemical property detection data set to obtain textiles with qualified chemical properties, and marking the textiles with qualified chemical properties as qualified quality.

[0009] Furthermore, the textile appearance quality detection data set specifically includes an average color difference value of the textile, the number of textile stains, the area of ​​textile holes, and the number of textile weaving defects.

[0010] Furthermore, the textile appearance quality detection data set is analyzed to obtain textiles with qualified appearance quality. The specific analysis process is: based on the textile appearance quality detection data set, a textile appearance quality assessment value is obtained by comprehensive analysis, and the textile appearance quality assessment value is used as an analysis basis for judging whether the textile appearance quality is qualified; the textile appearance quality assessment value is compared with the textile appearance quality qualified boundary value stored in the database; if the textile appearance quality assessment value is higher than the textile appearance quality qualified boundary value, the textile appearance quality is unqualified; if the textile appearance quality assessment value is lower than or equal to the textile appearance quality qualified boundary value, the textile appearance quality is qualified.

[0011] Furthermore, the textile appearance quality evaluation value is specifically analyzed as follows: ; In the formula, is the average color difference value of textiles, is the number of stains on textiles, is the area of ​​the hole in the textile, is the number of textile weaving defects, is the weight factor of the average color difference value set in the database, is the weight factor of the number of stains set in the database, is the weight factor of the hole area set in the database, is the weight factor of the number of weaving defects set in the database, It is the evaluation value of textile appearance quality.

[0012] Furthermore, the textile physical property test data set specifically includes the maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and tear in the textile wear resistance test, and the number of friction cycles required for friction pilling in the textile pilling test.

[0013] Furthermore, the textile physical properties test data set is analyzed to obtain textiles with qualified physical properties. The specific analysis process is: based on the textile physical properties test data set, a comprehensive analysis is performed to obtain a textile physical property evaluation value, and the textile physical property evaluation value is used as an analysis basis for judging whether the physical properties of the textile are qualified; the textile physical property evaluation value is compared with a qualified limit value of the textile physical properties stored in a database; if the textile physical property evaluation value is lower than the qualified limit value of the textile physical properties, the physical properties of the textile are unqualified; if the textile physical property evaluation value is higher than or equal to the qualified limit value of the textile physical properties, the physical properties of the textile are qualified.

[0014] Furthermore, the textile functionality testing data set specifically includes air permeability testing of textiles, moisture absorption testing of textiles, and water penetration testing of textiles.

[0015] Furthermore, the textile functionality test data set is analyzed to obtain textiles with qualified functionality, and the specific analysis process is: based on the textile functionality test data set, a comprehensive analysis is performed to obtain a textile functionality test evaluation value, and the textile functionality test evaluation value is used as an analysis basis for judging whether the functionality of the textile is qualified; the textile functionality test evaluation value is compared with the textile functionality qualified definition value stored in the database; if the textile functionality test evaluation value is higher than or equal to the textile functionality qualified definition value, the textile functionality is qualified; if the textile functionality evaluation value is lower than the textile functionality qualified definition value, the textile functionality is unqualified.

[0016] Furthermore, the textile chemical property detection data set specifically includes the pH value of the textile, the formaldehyde content in the textile, and the heavy metal content in the textile.

[0017] Furthermore, the textile chemical property test data set is analyzed to obtain textiles with qualified chemical properties. The specific analysis process is: based on the textile chemical property test data set, a comprehensive analysis is performed to obtain a textile chemical property evaluation value, and the textile chemical property evaluation value is used as an analysis basis for judging whether the chemical property of the textile is qualified; the textile chemical property evaluation value is compared with the textile chemical property qualified limit value stored in the database; if the textile chemical property evaluation value is higher than the textile chemical property qualified limit value, the chemical property of the textile is unqualified; if the textile chemical property evaluation value is lower than or equal to the textile chemical property qualified limit value, the chemical property of the textile is qualified, and the textile with qualified chemical property is marked as qualified in quality.

[0018] The present invention has the following beneficial effects: (1) This textile quality testing method based on data analysis comprehensively evaluates various performance indicators of textiles through multiple stages and multiple aspects of testing, ensures product quality, guarantees the health and safety of consumers, ensures the durability and functionality of textiles in actual use, and improves the overall qualification rate. By controlling and improving various testing indicators, the defective rate is reduced, the product competitiveness is improved, and more market share is occupied. The clear evaluation process and judgment criteria facilitate the introduction of automated testing systems, improve testing efficiency and accuracy, realize real-time testing and feedback, and improve the automation level of the production line and overall production efficiency.

[0019] (2) This textile quality testing method based on data analysis can detect whether the textiles contain harmful substances, such as formaldehyde, heavy metals, allergenic dyes, etc., by testing the chemical properties of textiles, so as to avoid harm to consumers' health, reduce skin irritation, reduce the risk of allergic reactions, ensure the stability of textiles under different environmental conditions, reduce product degradation or deterioration caused by unstable chemical composition, ensure product safety and quality, improve user experience and satisfaction, ensure that the chemicals used in the textile production process meet environmental protection standards, and reduce pollution to the environment.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The present invention is a flow chart of a textile quality detection method based on data analysis.

[0022] Figure 2 This is an image of the change in the evaluation value of textile functionality testing as the moisture absorption rate of the textile moisture absorption test changes. DETAILED DESCRIPTION

[0023] The embodiment of the present application solves the problem that when conducting quality inspection on textiles, only one aspect of the textile can be inspected, the inspection method is single, the quality inspection is not comprehensive enough, and the calculation complexity is high and the processing speed is slow, which affects the real-time performance and inspection efficiency.

[0024] See also Figure 1 The embodiment of the present invention provides a technical solution: a textile quality detection method based on data analysis, comprising: performing appearance quality detection on textiles, obtaining a textile appearance quality detection data set, analyzing the textile appearance quality detection data set to obtain textiles with qualified appearance quality, performing physical property detection on textiles with qualified appearance quality, and obtaining a textile physical property detection data set.

[0025] Specifically, the textile appearance quality inspection data set includes the average color difference value of textiles, the number of textile stains, the area of ​​textile holes, and the number of textile weaving defects. The average color difference value of textiles is used to evaluate the degree of color difference between the sample and the standard color. In the textile industry, color difference refers to the color difference between the measured color and the standard color. The average color difference value is a numerical expression of this difference. The average color difference value is an important indicator for evaluating color consistency. It is obtained by a spectrophotometer or a colorimeter. The number of textile stains refers to the number of stains detected on the surface or structure of the textile. In textile production and quality control, stains refer to undesirable substances or foreign matter appearing on the surface or inside, which can be oil stains, water stains, color spots or dust, etc. The number of stains, as an important indicator of quality control, can affect the appearance quality and final market acceptance of textiles. It is obtained by a high-resolution scanner. In quality control, detecting and recording the number of stains can help factories identify problems in the production process and provide a reference for optimizing the production system. The area of ​​textile holes refers to the number of stains detected on the surface or structure of the textile. The total area of ​​damage or holes. In textile production and quality control, holes refer to torn or penetrated areas in cloth or fabric, which may be caused by mechanical damage, wear, sewing errors or other external forces. It is obtained through high-resolution scanners. The hole area, as an important indicator of quality control, directly affects the durability and usability of textiles. A larger hole area may affect the structural integrity and appearance of textiles, thereby reducing their market acceptance and service life. Timely detection and recording of hole area can help factories identify problems in the production process and provide a reference for optimizing the production system. The number of textile weaving defects refers to the number of various defects or defects detected in the surface or structure of textiles during the weaving process. It is obtained through high-resolution scanners, cameras or artificial visual inspection. Weaving defects may be caused by mechanical problems, material defects, operating errors or other factors, affecting the appearance, quality and function of textiles. Timely detection and recording of weaving defects can help factories identify the root causes of problems in the production process and provide a reference for the manufacturing quality of textiles and the stability of the production process.

[0026] In this embodiment, the average color difference value indicates the consistency of the color of the textile surface, the number of stains indicates the number of stains on the textile surface, the hole area indicates the total area of ​​the holes on the textile, and the number of weaving defects indicates the number of defects generated in the textile during the weaving process. Generally, the average color difference value and the number of stains are positively correlated. During the dyeing process, uneven dyeing will lead to color difference. The increase in the average color difference value will increase the probability of dyeing stains. The average color difference value and the number of stains can help evaluate the appearance quality of the textile. During the weaving process, the number of weaving defects and the hole area are also positively correlated. Problems in the weaving process may lead to weaving defects. The increase in the number of weaving defects will affect the formation of holes in subsequent processing. The hole area and the number of weaving defects can help evaluate the structural integrity and durability of the textile. The larger the average color difference value of the textile, the more corresponding stains there will be. The more weaving defects there are, the larger the subsequent hole area may be, indicating that the larger the values ​​of the average color difference value, the number of stains, the number of weaving defects and the hole area are, the worse the quality of the corresponding textile is.

[0027] Specifically, the textile appearance quality inspection data set is analyzed to obtain textiles with qualified appearance quality. The specific analysis process is: based on the textile appearance quality inspection data set, a textile appearance quality assessment value is obtained through comprehensive analysis, and the textile appearance quality assessment value is used as an analysis basis for judging whether the textile appearance quality is qualified; the textile appearance quality assessment value is compared with the textile appearance quality qualified boundary value stored in the database; if the textile appearance quality assessment value is higher than the textile appearance quality qualified boundary value, the textile appearance quality is unqualified; if the textile appearance quality assessment value is lower than or equal to the textile appearance quality qualified boundary value, the textile appearance quality is qualified.

[0028] In this implementation scheme, a data set is obtained from the appearance quality inspection of textiles. The data set includes key indicators such as the average color difference value, the number of stains, the area of ​​holes, and the number of weaving defects of textiles. A number of appearance quality indicators are comprehensively considered to comprehensively evaluate the appearance quality of textiles to avoid missing key issues. By comprehensively analyzing these indicators, unified evaluation standards and formulas are adopted to ensure that the evaluation results of different batches of textiles are consistent, which is convenient for quality control. The appearance quality evaluation value of the textiles is calculated. The evaluation value can be a weighted comprehensive score. The weighted comprehensive score is used to accurately reflect the influence weight of each indicator on the appearance quality. The evaluation value is compared with the qualified definition value in the database. The qualified definition value is a threshold set according to historical data and quality standards. If the evaluation value is higher than the qualified definition value, the appearance quality is unqualified. If the evaluation value is lower than or equal to the qualified definition value, the appearance quality is qualified. The evaluation value is automatically analyzed and compared by a computer to reflect the overall appearance quality of the textile, improve the efficiency of detection and judgment, reduce the time of manual intervention, quickly obtain evaluation results, and promptly discover unqualified textiles to prevent unqualified products from entering the market.

[0029] Specifically, the specific analysis process of the textile appearance quality assessment value is as follows: ; In the formula, is the average color difference value of textiles, is the number of stains on textiles, is the area of ​​the hole in the textile, is the number of textile weaving defects, is the weight factor of the average color difference value set in the database, is the weight factor of the number of stains set in the database, is the weight factor of the hole area set in the database, is the weight factor of the number of weaving defects set in the database, It is the evaluation value of textile appearance quality.

[0030] In this embodiment, the above-mentioned textile appearance quality evaluation value is calculated by the average color difference value of the textile, the number of textile stains, the area of ​​textile holes, and the number of textile weaving defects. By comprehensively considering the four indicators of color difference, stains, holes and weaving defects, a quantitative appearance quality evaluation value is obtained, which can intuitively evaluate the overall appearance quality level of the textile. Based on the appearance quality evaluation value, the textile can be divided into different quality grades (such as excellent, good, medium, and poor), which is helpful for quality management and classification processing. The average color difference value can be used to determine whether the color of the textile is uniform and consistent. For textiles with serious color difference problems, the dyeing process can be improved. and production process, reduce color difference, and improve the aesthetics of the product. By analyzing the number of stains, we can understand the cleanliness of the textile surface and judge whether the stains are within an acceptable range. Through stain analysis, we can trace the source of pollution, improve the production environment and process flow, reduce the generation of stains, and improve surface cleanliness. By calculating the area of ​​holes, we can evaluate the structural integrity of textiles and judge whether the hole problem is serious, thereby improving production equipment and processes, reducing the occurrence of holes, and improving the structural strength and durability of textiles. By counting the number of weaving defects, we can understand the stability and quality level of the weaving process, identify common types of weaving defects, and optimize the weaving process and Equipment settings, reduce weaving defects, improve the overall quality of textiles, through long-term monitoring and analysis of appearance quality evaluation values, can identify the trend and changes of appearance quality problems, timely discover quality fluctuations and potential problems, based on trend analysis results, take preventive measures in advance to ensure the stability and consistency of textile quality, by analyzing the appearance quality evaluation values ​​of different batches and production lines, can identify the weak links in the production process, find out the root causes of quality problems, formulate and implement improvement measures for the weak links, improve the stability of the production process and product quality, set the average color difference value of textiles, the number of textile stains, the area of ​​textile holes, textiles The weight factor of the number of weaving defects is obtained from the database. Through the historical measured average color difference values ​​of textiles, the number of textile stains, the area of ​​textile holes, the number of textile weaving defects and the textile appearance quality assessment values, a mapping set of the average color difference values ​​of textiles, the number of textile stains, the area of ​​textile holes, the number of textile weaving defects and their corresponding weight factors is established. The current average color difference value of textiles, the number of textile stains, the area of ​​textile holes and the number of textile weaving defects are input into the mapping set to obtain the weight factors corresponding to the current average color difference value of textiles, the number of textile stains, the area of ​​textile holes and the number of textile weaving defects.

[0031] The textile physical properties test data set is analyzed to obtain textiles with qualified physical properties, and the textiles with qualified physical properties are subjected to functional testing to obtain a textile functional testing data set.

[0032] Specifically, the data set for testing the physical properties of textiles includes the maximum tensile force that the textile can withstand when it breaks when stretched, the number of friction cycles required for wear and tear in the textile wear resistance test, and the number of friction cycles required for friction pilling in the textile pilling test.

[0033] In this embodiment, the maximum tensile force that a textile can withstand when stretched to break refers to the maximum tensile force that the textile can withstand until it breaks in a tensile test, which is obtained by a tensile testing machine and is expressed in Newton (N) or pound-force (lbf), reflecting the tensile strength of the textile and is an important indicator for evaluating its toughness and durability. A higher tensile strength indicates that the textile can withstand a larger tensile force and is not easy to break during use. The number of friction cycles required for wear and tear in a wear test of a textile refers to the number of friction cycles required for the textile to be worn and broken in a wear test, which is obtained by a wear tester, reflecting the wear resistance of the textile and is an indicator for evaluating its resistance to friction and wear in daily use. A higher number of wear cycles indicates that the textile can resist wear for a longer period of time. The number of friction cycles required for friction pilling in a pilling test of a textile refers to the number of friction cycles required before the textile produces pilling in a pilling test, which is obtained by a pilling tester, reflecting the anti-pilling performance of the textile and is an indicator for evaluating its ability to maintain a smooth surface under friction. A higher number of pilling cycles indicates that the textile is not easy to pill during use.

[0034] It needs to be explained that the above-mentioned textile physical properties test data set clearly defines the specific content of the test, namely the tensile strength, abrasion resistance and pilling resistance of the textiles. Testers can arrange and perform test tasks based on these specific indicators. In the process of textile physical properties testing, higher tensile strength often means that the fiber material has higher strength and toughness, which can bring better wear resistance. On the contrary, if the tensile strength of the textile is low, it means that the fiber is easy to break or deform, which may cause the fiber to wear more easily during friction. Fibers with high tensile strength have higher stability and are not easy to break and shift during friction, thereby reducing pilling. On the contrary, fibers with low tensile strength are easy to break or shift, and the broken fiber ends will form small balls on the fabric surface, thereby increasing the possibility of pilling and making the physical properties of the textile unqualified.

[0035] Specifically, the textile physical properties test data set is analyzed to obtain textiles with qualified physical properties. The specific analysis process is: based on the textile physical properties test data set, a comprehensive analysis is performed to obtain a textile physical property evaluation value, and the textile physical property evaluation value is used as an analysis basis for judging whether the physical properties of the textile are qualified; the textile physical property evaluation value is compared with the textile physical property qualified limit value stored in the database; if the textile physical property evaluation value is lower than the textile physical property qualified limit value, the physical properties of the textile are unqualified; if the textile physical property evaluation value is higher than or equal to the textile physical property qualified limit value, the physical properties of the textile are qualified.

[0036] In this implementation scheme, physical property testing is performed on products that have passed the appearance quality test, and a data set is obtained from the physical property test of the textile. The data set includes key indicators such as the maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and tear in the wear resistance test, and the number of friction cycles required for friction pilling in the pilling test. By comprehensively analyzing these indicators, the physical property evaluation value of the textile is calculated to provide a scientific and reliable basis for quality judgment, avoid errors in human subjective judgment, and help quality control in the production process. Based on the analysis of the physical property evaluation value, a basis can be provided for the physical property testing of the textile, helping the system to better complete the physical property testing. The evaluation value can be a weighted comprehensive score that reflects the overall physical properties of the textile. The evaluation value is compared with the qualified limit value in the database. The qualified limit value is a threshold set according to historical data and quality standards. If the evaluation value is higher than or equal to the qualified limit value, the physical property is qualified. If the evaluation value is lower than the qualified limit value, the physical property is unqualified. It is used to eliminate products that pass the appearance quality test but fail the physical property test to ensure the quality of the products entering the next link.

[0037] It should be explained that the above-mentioned evaluation values ​​of the physical properties of textiles are analyzed in the following specific process: ; In the formula, It is the maximum tensile force that a textile can withstand when it breaks. It is the number of friction cycles required for wear and tear in the textile wear test. It is the number of friction cycles required for friction pilling in the textile pilling test. is the weight factor of the maximum tensile force that can be sustained when tensile fracture is set in the database. The weighting factor for the number of friction cycles required for wear and tear set in the database, is the weight factor of the number of friction cycles required for friction pilling set in the database, It is the evaluation value of the physical properties of textiles.

[0038] It should be explained that the formula uses hyperbolic sine function, logarithmic function and square root function, so that the evaluation results can more carefully reflect the changes in various physical properties, improve the accuracy and sensitivity of the evaluation, and comprehensively consider the three key physical performance indicators of tensile strength, abrasion resistance and pilling resistance, providing a comprehensive evaluation of the overall physical properties of textiles. Through the combination of multi-dimensional data, it can more accurately reflect the true physical properties of textiles. The clear evaluation formula facilitates the automation system to realize data analysis and judgment, and can realize real-time detection and feedback, timely eliminate unqualified products, and improve the automation level and overall production efficiency of the production line. Through the calculation and storage of evaluation values, a complete data record is formed, which is convenient for subsequent query and management, and a quality traceability system is established to quickly locate and solve quality problems and improve the quality management level. The weights and nonlinear transformation parameters can be adjusted according to specific needs, and the performance evaluation needs of different textiles can be flexibly responded to. According to different application scenarios and customer needs, the evaluation standards and parameters are customized to provide more targeted physical performance evaluation results, and the set textile can withstand the tensile fracture. The maximum tensile force, the number of friction cycles required for wear and rupture in a textile abrasion test, and the weight factors of the friction cycles required for friction pilling in a textile pilling test are obtained from a database. Through the historically measured maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and rupture in a textile abrasion test, the number of friction cycles required for friction pilling in a textile pilling test, and the evaluation value of the physical properties of the textile, a mapping set of the maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and rupture in a textile abrasion test, the number of friction cycles required for friction pilling in a textile pilling test, and their corresponding weight factors is established. The current maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and rupture in a textile abrasion test, and the number of friction cycles required for friction pilling in a textile pilling test are input into the mapping set to obtain the weight factors corresponding to the current maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and rupture in a textile abrasion test, and the number of friction cycles required for friction pilling in a textile pilling test.

[0039] The textile functional testing data set is analyzed to obtain textiles with qualified functionality, and the chemical properties of the textiles with qualified functionality are tested to obtain a textile chemical properties testing data set.

[0040] Specifically, the textile functional testing data set includes air permeability testing of textiles, moisture absorption testing of textiles, and water penetration testing of textiles.

[0041] In this embodiment, the air permeability test of the textile indicates the air permeability. The air permeability indicates the volume of air passing through a unit area of ​​the textile per unit time under a certain pressure difference. The air permeability is obtained by using an air permeability tester. The hygroscopicity test of the textile indicates the ability of the textile to absorb moisture under specific conditions. It is expressed as the percentage of the weight of moisture absorbed by the textile to its dry weight. The hygroscopicity tester is used to obtain the hygroscopicity. The water permeability test of the textile indicates the water permeability. The water permeability indicates the amount of water passing through a unit area of ​​the textile per unit time under a certain pressure. The water permeability is obtained by using a waterproof tester. Highly breathable textiles also have good hygroscopicity because breathable materials allow water vapor to pass through, while also absorbing and releasing moisture to keep dry. The work together of breathability and hygroscopicity can significantly improve the overall comfort of textiles, especially in high-intensity exercise or high-temperature environments. Usually, waterproofness and breathability are negatively correlated. Improving waterproofness will reduce breathability, thereby affecting the quality of the product.

[0042] Specifically, the textile functionality test data set is analyzed to obtain textiles with qualified functionality. The specific analysis process is: based on the textile functionality test data set, a textile functionality test evaluation value is obtained through comprehensive analysis, and the textile functionality test evaluation value is used as an analysis basis for judging whether the functionality of the textile is qualified; the textile functionality test evaluation value is compared with the textile functionality qualified definition value stored in the database; if the textile functionality test evaluation value is higher than or equal to the textile functionality qualified definition value, the textile functionality is qualified; if the textile functionality evaluation value is lower than the textile functionality qualified definition value, the textile functionality is unqualified.

[0043] In this implementation scheme, functional testing is performed on products that pass the physical property test, and a data set is obtained from the functional test of textiles. The data set includes the following key indicators: air permeability of textile air permeability test, moisture absorption rate of textile hygroscopicity test, and water penetration of textile waterproof test. By comprehensively evaluating the air permeability, hygroscopicity and waterproofness of textiles, its performance in different environments and use conditions can be fully understood. The calculated evaluation value is compared with the qualified definition value in the database. If the evaluation value is higher than or equal to the qualified definition value, the functionality of the textile is qualified. If the evaluation value is lower than the qualified definition value, the functionality of the textile is unqualified. Products that pass the physical property test but fail the functional test are eliminated to ensure the quality of the products entering the next link. In the textile design and production process, optimization is performed based on these performance data to achieve higher comfort and functionality. By studying and optimizing the balance technology of air permeability, hygroscopicity and waterproofness, textiles with higher performance can be developed, new materials and new processes can be introduced, the comprehensive performance of textiles can be improved, the development and innovation of textile technology can be promoted, the diversified needs of the market and users can be met, and product performance and quality can be optimized.

[0044] It should be explained that the above textile functional evaluation value is analyzed in the following specific process: ; In the formula, To test the air permeability of textiles, To test the moisture absorption rate of textiles, Test water penetration for textile waterproofness, is the weight factor of air permeability set in the database, is the weight factor of moisture absorption rate set in the database, is the weight factor of water infiltration set in the database, It is the evaluation value of textile functional testing.

[0045] It should be explained that the logarithmic function, square root function and reciprocal function are used in the formula, so that the evaluation results can more carefully reflect the changes in various functional properties, improve the accuracy and sensitivity of the evaluation, and provide a comprehensive evaluation of the overall functionality of textiles by combining the three important functional indicators of air permeability, moisture absorption and waterproofness, so that the evaluation results can better reflect the comprehensive performance of textiles in actual use. The formula is used for calculation to obtain the evaluation value of textile functional test and compare it with the qualified limit value to ensure the consistency and comparability of the evaluation between different textiles, making the judgment process simple and fast, and can realize real-time detection and feedback to ensure that only qualified textiles enter the market, reduce quality problems and return rates, and set the air permeability test value of textiles. The weight factors of permeability, moisture absorption rate of textile hygroscopicity test and water penetration of textile waterproof test are obtained from a database, and a mapping set of air permeability of textile air permeability test, moisture absorption rate of textile hygroscopicity test, water penetration of textile waterproof test and corresponding weight factors is established through historically measured air permeability of textile air permeability test, moisture absorption rate of textile hygroscopicity test, water penetration of textile waterproof test and textile functional evaluation values, and the current air permeability of textile air permeability test, moisture absorption rate of textile hygroscopicity test and water penetration of textile waterproof test are input into the mapping set to obtain the weight factors corresponding to the current air permeability of textile air permeability test, moisture absorption rate of textile hygroscopicity test and water penetration of textile waterproof test.

[0046] like Figure 2As shown, it is an image of the change of textile functional test evaluation value with the change of textile hygroscopic test moisture absorption rate, wherein the x-axis represents the textile hygroscopic test moisture absorption rate, and the y-axis represents the textile functional test evaluation value, which can help intuitively understand how the textile hygroscopic test moisture absorption rate affects the textile functional test evaluation value. The greater the textile hygroscopic test moisture absorption rate, the greater the textile functional test evaluation value, indicating that the functionality of the textile detected by the detection system is better. With the increase of the textile hygroscopic test moisture absorption rate, the influence of the textile hygroscopic test moisture absorption rate on the textile functional test evaluation value gradually weakens. The air permeability of the textile breathability test is set to be 0.6 and unchanged, the water penetration of the textile waterproof test is set to be 20 and unchanged, the weight factor of the air permeability is set to be 0.3 and unchanged, the weight factor of the moisture absorption rate is set to be 0.3 and unchanged, and the weight factor of the water penetration is set to be 0.4 and unchanged. The example values ​​of the textile hygroscopic test moisture absorption rate are as follows: Table 1: Example values ​​of moisture absorption rate of textiles in textile functional test evaluation value

[0047] It should be noted that the greater the air permeability of the textile air permeability test, the greater the textile functional test evaluation value, indicating that the functionality of the textile tested by the testing system is better. With the increase of the air permeability of the textile air permeability test, the influence of the air permeability of the textile air permeability test on the evaluation value of the textile functional test gradually weakens. The moisture absorption rate of the textile hygroscopicity test is set to be 0.5 and remain unchanged, the water penetration of the textile waterproof test is set to be 20 and remain unchanged, the weight factor of the air permeability is set to be 0.3 and remain unchanged, the weight factor of the moisture absorption rate is set to be 0.3 and remain unchanged, and the weight factor of the water penetration is set to be 0.4 and remain unchanged. The example values ​​of the air permeability of the textile air permeability test are as follows: Table 2: Example values ​​of air permeability in textile breathability test in textile functionality test evaluation value

[0048] The textile chemical property test data set is analyzed to obtain textiles with qualified chemical properties, and the textiles with qualified chemical properties are marked as qualified in quality.

[0049] Specifically, the textile chemical property testing data set includes the pH value of textiles, the formaldehyde content in textiles, and the heavy metal content in textiles.

[0050] In this embodiment, the pH value of the textile is the pH value of the solution measured by a pH meter after the textile sample is immersed in deionized water, the formaldehyde content in the textile is the formaldehyde content measured by a spectrophotometer after the textile sample is hydrolyzed and extracted, and the heavy metal content in the textile is the heavy metal content measured by an atomic absorption spectrometer or an inductively coupled plasma mass spectrometer after the textile sample is digested. In the process of textile quality inspection, the pH value of the textile, the formaldehyde content in the textile and the heavy metal content in the textile are detected, which can provide a reference for optimizing the production system, thereby preventing the pH value from deviating from the appropriate pH value and causing health problems such as skin allergies, itching and even dermatitis. The formaldehyde content in the textile can be controlled, and skin allergies, respiratory problems and other health problems caused by formaldehyde can be effectively reduced. The heavy metal content in the textile can be detected and controlled to avoid long-term contact between toxic textiles and the human body, leading to problems such as chronic poisoning, ensuring the health and safety of consumers, improving product quality, and producing highly safe and environmentally friendly textiles.

[0051] It needs to be explained that, under normal circumstances, the pH value of textiles may affect the existence form and release rate of formaldehyde in textiles. Under acidic conditions, formaldehyde easily reacts with fibers or dyes in textiles to form more stable compounds, thereby reducing the amount of formaldehyde released. In the production process of textiles, improper pH control may lead to an increase in formaldehyde residues. The solubility of heavy metals is closely related to the pH value. Under acidic conditions, certain heavy metals (such as lead and cadmium) are more easily dissolved and combined with fibers, resulting in an increase in the heavy metal content in textiles. The pH value in textiles can affect the adsorption and desorption behavior of heavy metal ions. The presence of formaldehyde may change the chemical environment of textiles and affect the pH value. For example, after formaldehyde reacts with certain acidic or alkaline compounds, the pH value of the textile may change, thereby changing the formaldehyde content in the textile and causing the quality of the textile to deteriorate.

[0052] Specifically, the textile chemical property test data set is analyzed to obtain textiles with qualified chemical properties. The specific analysis process is: based on the textile chemical property test data set, a comprehensive analysis is performed to obtain a textile chemical property evaluation value, and the textile chemical property evaluation value is used as an analysis basis for judging whether the textile chemical property is qualified; the textile chemical property evaluation value is compared with the textile chemical property qualified limit value stored in the database; if the textile chemical property evaluation value is higher than the textile chemical property qualified limit value, the textile chemical property is unqualified; if the textile chemical property evaluation value is lower than or equal to the textile chemical property qualified limit value, the textile chemical property is qualified, and the textile with qualified chemical performance is marked as qualified in quality.

[0053] In this embodiment, a large amount of chemical property test data of textiles is collected and analyzed, and the chemical property evaluation value of each textile is calculated based on the data set. These values ​​can be the scores of a single indicator or the comprehensive scores of multiple indicators. The quality of textile samples in the chemical property test of textiles can be understood. The qualified definition values ​​of the chemical properties of textiles are stored in the database. These definition values ​​reflect the regulatory or standard requirements of various chemical performance indicators to ensure that the products comply with the regulations in terms of safety and quality. The chemical property evaluation value of each textile is compared with the corresponding qualified definition value. If the chemical property evaluation value of a certain textile is higher than the qualified definition value, its chemical property is considered to be unqualified. On the contrary, if the evaluation value is lower than or equal to the qualified definition value, it is judged to be qualified. Products that pass the functional test but fail the chemical test are eliminated to ensure the quality of the products entering the next link. Through quantitative evaluation and standardized qualified definition values, objective and comparable judgment standards are provided, which reduces subjectivity and inconsistency. The automated comparison and judgment process realizes batch processing and large-scale data analysis, improves efficiency and reduces the possibility of human errors. The definition value is set based on regulations and standards to ensure that the results of the chemical property evaluation of textiles meet the requirements of safety and market access.

[0054] It should be explained that the specific analysis process of the above textile chemical performance evaluation values ​​is as follows: ; In the formula, pH value of textiles, is the pH reference value of textiles stored in the database, is the formaldehyde content in textiles, is the heavy metal content in textiles, is the weight factor of pH set in the database, is the weight factor of formaldehyde content set in the database, is the weight factor of heavy metal content set in the database, It is the evaluation value of chemical properties of textiles.

[0055] It should be explained that the evaluation value is calculated through a composite formula, which covers the pH value, formaldehyde content and heavy metal content of the textile. The use of mathematical functions such as logarithms and squares in the formula can more accurately reflect the contribution of different indicators to the evaluation value, thereby improving the scientificity and accuracy of the evaluation. These indicators are important factors in evaluating the safety and quality of the chemical properties of textiles, and can comprehensively reflect the overall chemical quality of textiles. Combined with the pH value, formaldehyde content and heavy metal content, it can be judged whether the chemical properties of textiles are qualified, ensuring that only textiles with qualified chemical properties enter the market, improving the overall quality and safety of products, reducing harmful chemicals (such as formaldehyde and heavy metals) in textiles, ensuring that products are harmless to consumer health and meet environmental protection requirements, and can achieve real-time detection and feedback, so as to promptly identify products with unqualified chemical properties that affect consumer health and eliminate them. , reduce the risks caused by unqualified chemical properties, improve the quality management level, refer to relevant industry standards, obtain reference data of textile pH, store it in the database, and provide support for system analysis and reference. The set weight factors of textile pH, formaldehyde content in textiles, and heavy metal content in textiles are obtained from the database. Through the historical measurements of textile pH, formaldehyde content in textiles, heavy metal content in textiles and textile chemical property evaluation values, a mapping set of textile pH, formaldehyde content in textiles, heavy metal content in textiles and their corresponding weight factors is established. The current textile pH, formaldehyde content in textiles, and heavy metal content in textiles are input into the mapping set to obtain the weight factors corresponding to the current textile pH, formaldehyde content in textiles, and heavy metal content in textiles.

[0056] It needs to be explained that the above-mentioned average color difference value of textiles, the number of stains on textiles, the area of ​​holes in textiles, the number of weaving defects in textiles, the maximum tensile force that textiles can withstand when stretched to break, the number of friction cycles required for wear and rupture in textile wear resistance tests, the number of friction cycles required for friction pilling in textile pilling tests, air permeability of textile air permeability test, moisture absorption rate of textile hygroscopicity test, water penetration of textile waterproofness test, pH value of textiles, formaldehyde content in textiles, and heavy metal content in textiles are normalized. Normalization is used to convert indicators of different physical quantities to the same scale, eliminate differences in dimensions and orders of magnitude, so that various indicators can be compared and comprehensively analyzed on the same scale, avoid excessive influence of certain indicators on the results due to excessively large or small dimensions in the calculation process, improve the stability and accuracy of the calculation, accelerate the training process of the model, improve the performance and prediction accuracy of the model, and make the results easier to explain and understand, especially in the data visualization process.

[0057] In summary, this application has at least the following effects: the textile quality detection method based on data analysis, through multiple stages and multiple aspects of detection, comprehensively evaluates various performance indicators of textiles, ensures product quality, guarantees the health and safety of consumers, ensures the durability and functionality of textiles in actual use, improves the overall pass rate, reduces the defective rate through the control and improvement of various detection indicators, enhances product competitiveness, occupies more market share, and clear evaluation process and judgment criteria facilitate the introduction of automated detection systems, improve detection efficiency and accuracy, realize real-time detection and feedback, and improve the automation level of the production line and overall production efficiency.

[0058] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0060] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0061] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0062] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A textile quality detection method based on data analysis, characterized in that: The following steps are involved: Perform appearance quality testing on textiles to obtain a textile appearance quality testing data set, analyze the textile appearance quality testing data set to obtain textiles with qualified appearance quality, perform physical property testing on textiles with qualified appearance quality to obtain a textile physical property testing data set; Analyze the textile physical properties test data set to obtain textiles with qualified physical properties, perform functional tests on the textiles with qualified physical properties, and obtain the textile functional test data set; Analyze the textile functional test data set to obtain textiles with qualified functionality, perform chemical property tests on the textiles with qualified functionality, and obtain the textile chemical property test data set; The textile chemical property test data set is analyzed to obtain textiles with qualified chemical properties, and the textiles with qualified chemical properties are marked as qualified in quality.

2. A textile quality detection method based on data analysis according to claim 1, characterized in that: The textile appearance quality detection data set specifically includes the average color difference value of the textile, the number of textile stains, the area of ​​textile holes, and the number of textile weaving defects.

3. A textile quality detection method based on data analysis according to claim 2, characterized in that: The textile appearance quality detection data set is analyzed to obtain textiles with qualified appearance quality. The specific analysis process is as follows: Based on the textile appearance quality detection data set, a comprehensive analysis is performed to obtain a textile appearance quality evaluation value, and the textile appearance quality evaluation value is used as an analysis basis for judging whether the textile appearance quality is qualified; Compare the textile appearance quality assessment value with the textile appearance quality acceptance threshold value stored in the database; If the textile appearance quality assessment value is higher than the qualified value of textile appearance quality, the textile appearance quality is unqualified; If the textile appearance quality assessment value is lower than or equal to the textile appearance quality acceptance threshold, the textile appearance quality is qualified.

4. A textile quality detection method based on data analysis according to claim 3, characterized in that: The specific analysis process of the textile appearance quality assessment value is as follows: ； In the formula, is the average color difference value of textiles, is the number of stains on textiles, is the area of ​​the hole in the textile, is the number of textile weaving defects, is the weight factor of the average color difference value set in the database, is the weight factor of the number of stains set in the database, is the weight factor of the hole area set in the database, is the weight factor of the number of weaving defects set in the database, It is the evaluation value of textile appearance quality.

5. The textile quality detection method based on data analysis according to claim 1, characterized in that: The textile physical property test data set specifically includes the maximum tensile force that the textile can withstand when it is stretched to break, the number of friction cycles required for wear and tear in a textile wear resistance test, and the number of friction cycles required for friction pilling in a textile pilling test.

6. A textile quality detection method based on data analysis according to claim 5, characterized in that: The textile physical properties test data set is analyzed to obtain textiles with qualified physical properties. The specific analysis process is as follows: Based on the textile physical property test data set, a comprehensive analysis is performed to obtain a textile physical property evaluation value, which is used as an analysis basis for judging whether the textile physical property is qualified; Compare the evaluation value of the physical properties of the textile with the qualified limit values ​​of the physical properties of the textile stored in the database; If the evaluation value of the physical properties of the textile is lower than the qualified value of the physical properties of the textile, the physical properties of the textile are unqualified; If the evaluation value of the physical properties of the textile is higher than or equal to the qualified limit value of the physical properties of the textile, the physical properties of the textile are qualified.

7. The textile quality detection method based on data analysis according to claim 1, characterized in that: The textile functional testing data set specifically includes air permeability testing of textiles, moisture absorption testing of textiles, and water penetration testing of textiles.

8. A textile quality detection method based on data analysis according to claim 7, characterized in that: The textile functional test data set is analyzed to obtain textiles with qualified functionality. The specific analysis process is as follows: Based on the textile functionality test data set, a comprehensive analysis is performed to obtain a textile functionality test evaluation value, and the textile functionality test evaluation value is used as an analysis basis for judging whether the functionality of the textile is qualified; Compare the textile functionality test evaluation value with the textile functionality qualification value stored in the database; If the evaluation value of the textile functionality test is higher than or equal to the qualified value of the textile functionality, the functionality of the textile is qualified; If the functionality assessment value of the textile is lower than the qualified value of the functionality of the textile, the functionality of the textile is unqualified.

9. The textile quality detection method based on data analysis according to claim 1, characterized in that: The textile chemical property detection data set specifically includes the pH value of the textile, the formaldehyde content in the textile, and the heavy metal content in the textile.

10. A textile quality detection method based on data analysis according to claim 9, characterized in that: The textile chemical property test data set is analyzed to obtain textiles with qualified chemical properties. The specific analysis process is as follows: Based on the textile chemical performance test data set, the textile chemical performance evaluation value is obtained through comprehensive analysis. The textile chemical performance evaluation value is used as the analysis basis for judging whether the textile chemical performance is qualified. Compare the assessed values ​​of chemical properties of textiles with the acceptable limits of chemical properties of textiles stored in the database; If the chemical performance evaluation value of the textile is higher than the qualified limit value of the chemical performance of the textile, the chemical performance of the textile is unqualified; If the evaluation value of the chemical property of the textile is lower than or equal to the qualified limit value of the chemical property of the textile, the chemical property of the textile is qualified, and the textile with qualified chemical property shall be marked as qualified in quality.

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