The digital transformation of the textile industry is an important strategic task during the 14th Five-Year Planperiod of our country. This paper will analyze the current situation of the digital development of the textile industry from six aspects: textile enterprises themselves, consumer personalized needs, user experience, industrial science and technology service enterprises, industry sustainable development, and industry value. And put forward the digitalization development trend of the textile industry.

Cotton is the most extensively cultivated natural fiber globally, with more than 100 countries participating in its commercial cultivation and widely utilized in both industrial and domestic products. To sustain its competitive advantage against other natural and synthetic materials, the cotton industry must integrate information technology in planting, production, and the comprehensive analysis of associated data. This article intends to provide an overview of the research on information technologies that advance the cotton industry, including unmanned aerial vehicle remote sensing, modern irrigation methods, intelligent topping techniques, versatile robot platforms, and mathematical models for economic application.

Green and low-carbon development is becoming a key pivot for textile enterprises to build influence, brand power, and competitiveness. Under the background of the"Double-Carbon" trager, digital transformation is an inevitable choice and beneficial exploration for textile enterprises to seek high-quality, great-leap-forward, and sustainable development. This article is based on the macro background of the"Double-Carbon" trager and takes the digital transformation of textile enterprises as the research entry point. Firstly, identify the key directions and practical difficulties of digital transformation in textile enterprises, then research on implementation paths specifically. The conclusion is that energy efficiency management system, supply chain system, and risk control system are key areas for the digital transformation of textile enterprises under the"Double-Carbon" trager, but corporate awareness, talent shortage, profit pressure, resource investment, market environment, and external trade risks are the main obstacles.In view of this, textile enterprises should cultivate internally and attract externally, reduce costs and increase efficiency, and repair internally and expand externally. Textile enterprises also should take some targeted measures in the three dimensions of people,finance, and materials, and comprehensively promote the digital transformation under the "Double-Carbon" trager.

The rapid development of the digital economy and the complexity and change of the international situation make the internationalization of textile enterprises face unprecedented challenges and opportunities. This paper explores the path of digitalization to promote the internationalization of textile enterprises from the perspective of digital dynamic capability. The results show that textile enterprises can utilize big data to enhance their digital perception ability; use blockchain technology to enhance their digital acquisition ability; and build a digital platform ecosystem to enhance their digital reconfiguration ability. Textile enterprises should take digital dynamic ability as the core driving force to promote internationalization through digitalization.

This paper takes the dual-high program in Fashion Design and Technology at Hangzhou Vocational and Technical Col- lege as a case study to explore the construction of a practical curriculum system aimed at cultivating on-site engineers. By integrat- ing the characteristics of vocational education with industry demands, the paper analyzes the competencies required by the textile and apparel industry for on-site engineers and investigates how curriculum design and implementation can enhance students’ practi- cal skills and job adaptability. The study finds that the development of a modular, project-based, and industry-collaborative curricu- lum system can effectively improve students’ hands-on abilities and overall professional competence, ultimately contributing to the supply of highly skilled on-site engineers to the textile and apparel industry.

Laboratory testing in textile and apparel testing institutions is a crucial link in the textile and apparel industry chain. The competence of laboratory testers has a significant impact on the accuracy and reliability of test results, which in turn affects the healthy development of the entire industry. Based on the competency theory, this paper constructs a competency model for labora- tory testers in textile and apparel testing institutions through conventional methods such as behavioral event interviews and ques- tionnaires. The model encompasses four dimensions: basic qualities, technical skills, behavioral traits, and psychological attributes. Detailed analysis of these dimensions can provide a scientific basis for the selection, training, assessment, and career development of professional and technical personnel in textile and apparel testing institutions, thereby enhancing the overall level and competi- tiveness of the textile and apparel testing industry.

After many years of efforts, specialized fiber inspection system has basically been established, the facilities and equip- ment conditions have improved significantly, and the institution's ability level has been continuously consolidated, providing strong support for the quality supervision of cotton and other natural fibers. However, it should be noted that some specialized fiber inspec- tion institutions still face challenges in terms of institutional attributes, funding guarantee and performance methods, which restricts the improvement of fiber quality supervision efficiency. Natural fibers such as cotton are important materials related to the national economy and people's livelihood, and their quality is directly related to the vital interests of traders such as agriculture, industry and commerce and consumers. The specialized fiber inspection institutions have special characteristics in terms of work object, position, and method. In the new era and new journey, we should further improve the working mechanism of specialized fiber inspection institutions, continuously strengthen the professional and public welfare attributes, and promote high-quality development with a high-performance quality governance system.

In response to the difficulties faced by cotton production and development in the Yellow River Basin, under the major na- tional strategic background of "ecological protection and high-quality development of the Yellow River Basin", this paper summa- rizes the main practices of the pilot work for improving the monitoring quality of cotton production processes in the Yellow River Basin and proposes promotion suggestions, in order to contribute replicable and promotable practical experience to the high-quality development of cotton in the Yellow River Basin.

In order to further promote the development of fiber inspection and testing work, improve the quality of inspection insti- tutions, better serve the development of the fiber industry, and form an inspection brand, this article takes a fiber inspection institute in a certain city as an example, constructs a standard framework diagram for fiber inspection and testing institutions, compiles a standard system for fiber inspection and testing institutions, and provides rational suggestions for the operation of the standard sys- tem for fiber inspection institutions.

Inspection and testing are high-tech and productive service industries supported by the state, playing very important role in promoting high-quality economic and social development. However, traditional institutions are currently facing challenges in brand transformation and upgrading. With the rapid development of technology and the booming global trade, the role of automa- tion, intelligence, and digital technology in the brand transformation and upgrading has significant improvement. This article aims to analyze the challenges faced by traditional inspection and testing institutions’ brands, explores the direction of relying on automa- tion, intelligence, and digitalization to promote brand transformation and upgrading and proposes corresponding thoughts and paths based on practice.

Based on the management experience and application experience of Lean Thinking in daily light and textile inspection and testing laboratory, this paper analyzes the waste phenomena of eight activities and services, including value, non-value defects, transportation, actions, waiting, product overproduction, process overproduction, inventory, and human resource waste. It suggests ways to reduce waste and improve quality, hoping to provide inspiration for the industry in the continuous improvement manage- ment of light and textile inspection and testing laboratories.

Laboratory archives are a direct reflection and detailed record of the management, operation, effectiveness, compliance, and authenticity of the quality system. The collection of archive materials follows the processes and standards of the quality management system. This article mainly discusses the preparation of laboratory accreditation archives by adhering to the key points of the textile laboratory management system as outlined in the "Accreditation criteria for the competence of testing and calibration laboratories" and integrating the "Competence assessment for inspection body and laboratory mandatory approval— Genaral requirements for inspection body and laboratory" for the capability evaluation of inspection and testing institutions. It presents a comprehensive set of specific contents for the subdivision of laboratory archive materials, systematically categorizing the necessary archive materials for different elements, making the archive materials more complete and standardized, thereby providing a reference for the preparation of archive materials in similar laboratories.

This paper makes a brief introduction to the sample management of cotton instrumental notarization inspection laboratory, combined with the practical work, sorting out the specific situation of each inspection link, for the actual problems existing in the storage process of 30% sample retention management, some suggestions are put forward, such as increasing sample retention rack, using compression equipment and establishing intelligent storage platform for sample retention management, to improve the utilization rate of sample room space, improve work efficiency, reduce safety hazards, it provides reference for the sample rentention management of cotton instrumental notarization inspection laboratory.

With the growing enthusiasm for outdoor activities and the enhancement of health awareness, the demand for sun-protective clothing, as an essential protective gear, has significantly increased. Through statistical analysis of extensive testing data on sun-protective clothing products, this article identifies the major factors contributing to product disqualification, including solar ultraviolet radiation protection performance, labeling, fiber composition, and functional testing items of sun-protective clothing. These functional testing items encompass moisture absorption and quick-drying, cool feeling in contact, air permeability, water-vapour transmission, and light blocking effect. The article delves into the introduction of relevant key items, analyzes the causes of disqualification, and finally puts forward suggestions for improving the quality of sun-protective clothing products.

In recent years, with the rapid development of technology, automation and intelligent technology have gradually been applied in the textile inspection industry, greatly improving the efficiency and accuracy of inspection. This article elaborates on the current development of automation and intelligence in four categories of textile inspection: appearance inspection, physical performance inspection, chemical performance inspection, and functional inspection, and uses examples to analyze successful applications of automation and intelligent technology. Summarizing the intelligent and automated development in the field of textile inspection provides guidance for the high-quality development of the textile inspection industry.

Atlas silk, with its distinctive ethnic features in Xinjiang, has garnered widespread attention in recent years, fueled by the growth of Xinjiang’s tourism industry and gradually integrating into people’s daily lives. However, the development of Atlas silk craftsmanship has been sluggish, with severe issues of color fading and color transfer, hindering the expansion of its market and brand promotion. This paper focuses on this issue, analyzing the factors affecting the colorfastness of Atlas silk, which chiefly include outdated dyeing techniques, a miscellaneous use of dyes and auxiliaries, inadequate quality control of raw materials, insufficient standardization of production processes, and a lack of awareness regarding product quality control among enterprises. Accordingly, the following recommendations are proposed: preserving traditional handcraftsmanship for high-end products while enhancing dyeing techniques for mid- to low-end products and encouraging the adoption of new technologies; reinforcing the consciousness of quality control, optimizing enterprise management, and encouraging third-party institutions to fulfill their roles by providing technical assistance; facilitating standardized production for product quality enhancement and reinforcing the protection of local specialty products.

This article is based on the official classification data of silkworm cocoons from relevant specialized fiber inspection institutions in 2023. Through in-depth analysis of the main quality indicators of various varieties of silkworm cocoons, it aims to reveal the advantages and disadvantages of different varieties of silkworms in terms of quality, and provide scientific and objective reference for the breeding, optimization and improvement of silkworm varieties, as well as industrial development in China.

适逢省级机构改革进入最为关键的时期，我们对纤维质量监测工作体制、机制、制度规范建设进行了一些思考，一己之见，意在抛砖引玉。敬请所有关心、支持纤维质量监测事业的领导和同志们共同探讨，并提出宝贵意见，凝心聚力，为纤维质量监测事业健康发展贡献力量。

Through statistical analysis, this paper puts forward that the consistency of fiber component content is the main factor restricting the quality of clothing products, analyzes the main causes of this phenomenon from a professional perspective, and puts forward the countermeasures and suggestions to solve the problem.

As one of the pillars of global manufacturing, the textile fiber industry is standing at a historical turning point. The rapid advancement of science and technology and profound changes in society have brought a revolutionary wave of digitalization and intelligence to this traditional industry. With the integration of cutting-edge technologies such as digitalization, artificial intelligence, Internet of Things technology, intelligent manufacturing and big data, the production methods, product quality, market competitiveness and consumer experience of the textile fiber industry are undergoing profound changes, which has brought great changes to the textile fiber industry. Here comes unprecedented opportunities and vitality. This article will deeply explore the development direction and trends of the textile fiber industry in the digital and intelligent transformation, analyze the far-reaching impact of this transformation on the industry, and clarify the related challenges and opportunities, with a view to providing useful reference for the future development of the industry.

In this paper, the stability of microwave method and resistance method in moisture regain test of baled cotton is analyzed. It is pointed out that the moisture regain test of baled cotton is considerably affected by ambient temperature and humidity, and neither resistance method nor microwave method can eliminate the influence of ambient temperature and humidity, which shows that the conditioned weight of baled cotton is not constant, and the CV value of the conditioned weight of baled cotton exceeds 0.5% under different temperature and humidity conditions. On this basis, the paper analyzes the "profit and loss" of the conditioned weight of Xinjiang baled cotton, and suggests optimizing the settlement method of the conditioned weight of Xinjiang baled cotton, that is, to revise the origin conditioned weight of Xinjiang baled cotton, and the difference of the conditioned weight should be resettled. In this way, reduce the trade disputes caused by the large difference of baled cotton conditioned weight between the supply and demand, and maintain the fairness and justice in the settlement of baled cotton trade.

The cocoon and silk industry is an industry that integrates trade, industry, and agriculture. It is a traditional ethnic industry, an important livelihood industry, and an internationally competitive advantage industry in China. In recent years, with the overlapping of multiple major strategic opportunities such as rural revitalization and county-level economy, the cocoon and silk industry has been stimulated with infinite market vitality. this article found, at present, Anhui’s cocoon silk industry still faces problems, such as a shortage of professional talents, insufficient innovation capabilities in the entire industry chain, and weak and ineffective functions of the cocoon silk quality inspection system. Through multidimensional empowerment such as talent empowerment, scientific and technological innovation empowerment, and full chain empowerment, we will promote the development of the cocoon silk industry from old trees to new branches, and contribute industry strength to rural revitalization and high-quality development of the county economy.

This paper introduces the differences of new and old versions of GB/T 20393 "General technical requirements for products with natural color cotton and mixture of natural color cotton" , explains the details in terms of scope, normative references, terms and definitions, requirements, etc., in order to provide better understanding and easy implementing of the new standard.

The whole growth cycle of cotton will be affected by pests and rats, so a large number of pesticides will be used in modern agricultural production to improve cotton production and improve cotton quality. However, it will also cause pesticide residues in cotton fibres, which will bring safety hazards to cotton textiles. This study summarizes the use of cotton pesticides, summarizes the current research progress in the detection and analysis technology of cotton agricultural residues, and provides ideas and prospects for the formulation of test standards related to cotton agricultural residues.

In order to clarify the difficulties and breakthroughs of Chinese cashmere industry in the context of sustainable development to further improve its sustainability, the historical changes and development status of Chinese cashmere industry were reviewed. The difficulties and challenges faced by Chinese cashmere industry in terms of economic sustainability and ecological sustainability and innovations made in China in recent years to address sustainable development issues were analyzed in detail. Finally, the review pointed out that enhancing the influence of domestic cashmere brands and upgrading the cashmere production and processing industry would be the significant future development directions for the cashmere industry in China.

The similarity in appearance between cashmere and sheep wool fibers has led to the phenomenon of difficulty in accurate differentiation. Therefore, the determination of the content of cashmere and sheep wool has always been a research hotspot. This article briefly summarizes the recent advances in detection and identification methods of cashmere and sheep wool from the perspective of detection technology, including microscopic method, chemical detection method, biological detection method, near-infrared spectroscopy method, and the emerging artificial intelligence image recognition method. The article focuses on the progress of convolutional neural networks, support vector machines, K-nearest neighbor algorithm, and Bayesian classification method in the research of cashmere and sheep wool within the artificial intelligence image recognition method. At the same time, the article lists the detection standards of existing technical methods, compares the inspection efficiency, detection costs, and advantages and disadvantages of each method, providing reference for textile testing institutions and personnel to understand and choose appropriate methods.

The development of near-infrared spectroscopy and its research progress in the determination of textile fiber content are introduced in detail, and the main problems and key paths for breakthroughs are discussed. Although near-infrared spectroscopy has the advantages of being fast, non-destructive, and does not require chemical treatment, it faces many problems in the practical application of textile fiber content determination, including technical obstacles such as different types of instruments, complex modeling processes, and poor sample uniformity. In particular, the heterogeneity of the sample has a great influence on the accuracy of the measurement results. On the basis of weighing the pros and cons, it is recommended to simplify the operation process, expand the application range, and promote the wide application of near-infrared spectroscopy in the determination of textile fiber content by developing special instruments, promoting the standardization of modeling, and homogenizing and pretreatment of samples, so as to achieve the goals of greatly improving work efficiency, reducing costs and increasing efficiency, and significantly reducing the use of chemicals and possible health and environmental safety risks.

With the growing global awareness of environmental protection, traditional synthetic fibers face increasing pressure due to their non-biodegradable nature and environmental pollution. This paper systematically reviews the definition, classification, properties, and application status of degradable synthetic fibers in the textile industry, focusing on representative materials such as polylactic acid (PLA), polyhydroxyalkanoates (PHA), and polycaprolactone (PCL). The study highlights the technical characteristics, industrial challenges, and market demands of these fibers. Results indicate that degradable synthetic fibers can effectively reduce environmental pollution through biodegradation and photodegradation, but their high production costs and insufficient performance stability remain major barriers to large-scale adoption. Future efforts should focus on technological innovation and policy support to promote the industrialization of degradable fibers, thereby achieving green and sustainable development in the textile sector.With the growing global awareness of environmental protection, traditional synthetic fibers face increasing pressure due to their non-biodegradable nature and environmental pollution. This paper systematically reviews the definition, classification, properties, and application status of degradable synthetic fibers in the textile industry, focusing on representative materials such as polylactic acid (PLA), polyhydroxyalkanoates (PHA), and polycaprolactone (PCL). The study highlights the technical characteristics, industrial challenges, and market demands of these fibers. Results indicate that degradable synthetic fibers can effectively reduce environmental pollution through biodegradation and photodegradation, but their high production costs and insufficient performance stability remain major barriers to large-scale adoption. Future efforts should focus on technological innovation and policy support to promote the industrialization of degradable fibers, thereby achieving green and sustainable development in the textile sector.

Textiles are an important source of environmental microplastics pollution. A large number of fiber-microplastics are produced in all aspects of the life cycle of textile production, use and decommissioning, and are scattered in the environment, causing environmental pollution. The release concentration of fiber microplastics in textiles is affected by many factors. In recent years, the qualitative and quantitative detection methods for microplastics are also the focus of attention. In this paper, the sources of microplastics in the whole life cycle of textiles are analyzed, and the existing qualitative and quantitative detection methods for microplastics are summarized.

In order to explore the biodegradability of textiles, this article summarizes the types, applications, testing methods and characteristics of existing biodegradable textiles, pinpoint the importance of strengthening the determination of textile biodegradability; analysis the current challenges. Finally, the review pointed out that shortening the testing cycle, increasing the variety of products covered by standards, improving the technical level of degradable performance testing personnel, and providing social support and guidance are important directions for the future development of textile degradable performance testing.

The micronaire value This article systematically introduces the application and development prospects of near-infrared spectroscopy in fiber testing. Based on the absorption or scattering characteristics of matter molecules to near-infrared light, this technology can achieve qualitative and quantitative analysis of fiber components and quality detection. Compared with traditional detection methods, near-infrared spectroscopy has significant advantages such as rapidity, high efficiency, non-destructiveness, and no need for complex pretreatment. It can be widely used in the identification of natural and chemical fibers, the determination of blending ratios, and the evaluation of fiber properties. This article presents current application cases of this technology, such as the content detection of cotton/polyester blended fabrics, the quality analysis of wool, and the material identification of ancient textile cultural relics. It also points out the future development directions: optimizing the model accuracy by combining artificial intelligence and big data, developing portable devices to meet the needs of on-site detection, and integrating multiple technologies to enhance the analysis ability. Near-infrared spectroscopy has great potential in improving the efficiency, accuracy, and intelligence level of fiber testing, providing important technical support for quality control and standardization in the textile industry.

This article focuses on the recyclability of waste textiles, by analyzing the current status of waste textile recycling,Global’s recycling policies, and recycling technologies for different materials of textiles, including, material sorting and recycling technology processes. It also offers some perspectives on the recyclable design of textile products. By considering the entire lifecycle of the textile product, starting from the design end, combined with the construction of the national recycling system for waste textiles and the improvement of recycling technologies, the study provides an analysis of the current status of textile recyclability and proposes relevant suggestions. This is aimed at promoting the transformation of the textile industry towards a circular economy

In this paper, the content of cotton/polyester/spandex fabric was analyzed accurately, healthy and environmentally friendly by near infrared spectroscopy. Through the collection of 400 representative standard samples, Fourier near-infrared instrument was used to collect the spectrum of the sample, and the original spectrum was derived and smoothed before processing. The mathematical algorithm of partial least squares was used to model and design the workflow. A representative sample of 20 groups was selected for prediction analysis, and the results showed that the deviation was within the standard range. So it shows that NIR can measure cotton polyester spandex fabric accurately, healthily and quickly.

In order to improve the accuracy of NIR in the quantitative analysis of textile fibers, several parameters affecting model- ing and testing were analyzed, including the determination of sampling points, the determination of folded thickness of test samples, the recognition of abnormal spectra, and the determination of abnormal test results, and the determination of four parameters in the quantitative analysis of textile fibers by NIR spectroscopy was obtained. Four different sampling points on the front and back sides of the test sample need to be scanned. The number of folded layers should be at least 4 layers. In the process of modeling, it is necessary to pay attention to the recognition of anomaly spectra. When comparing the test results of NIR spectroscopy and conven- tional methods, the tolerance is ±1.5%when the fiber content is less than 10%. When the fiber content is greater than ten percent, the tolerance is ±2.5%.

Fiber content near-infrared spectroscopy has the advantages of non-destructive, rapid, and efficient, especially suitable for on-site rapid inspection of textile supervision and spot checks. This article collects 89 polyester fiber/spandex fabrics with known fiber content as the validation set. Through the validation of the polyester fiber/spandex calibration model, it is analyzed that the model is not suitable for fabrics containing dark dyes such as hemp gray. After removing such samples from the validation set, the model evaluation passed and satisfactory results were obtained in the fast testing of polyester fiber/spandex school uniforms.

Near-Infrared Spectroscopy (NIRS) is a fast, efficient and green nondestructive analysis method. In recent years, near in- frared spectroscopy has been widely used in the field of textile testing, fiber content is an important index of textile testing, but also a key index to measure the quality of textiles. In this paper, near-infrared spectroscopy was used to quantitatively analyze the com- mon cotton/polyester fiber, cotton/spandex, nylon/spandex and polyester/spandex two-component blended fabrics, and the conven- tional detection methods were verified by chemical analysis and manual resolution. After removing the abnormal spectrum caused by the abnormal fiber and the addition of matting agent, The fiber content values of these common two-component blended fabrics obtained by near infrared spectroscopy meet the requirements of GB/T 29862—2013 "Textile Fiber Content Identification", and the analysis results are accurate and stable.

Near-infrared spectroscopy qualitative analysis has been extensively studied in the field of textile testing, with a variety of different qualitative modeling methods being developed. Each method has its own advantages and disadvantages. This paper in- troduces commonly used pattern recognition methods, such as cluster analysis, distance discriminant method, principal component analysis (PCA), SIMCA (Soft Independent Modeling of Class Analogy), PLS-DA (Partial Least Squares-Discriminant Analysis), artificial neural network method, SVM (Support Vector Machine), qualification testing, and similarity matching, and analyzes the applicability of each method. The paper summarizes the existing issues and current status of near-infrared spectroscopy applications and provides an outlook for its future development.

Near-infrared spectroscopy technology is based on molecular vibration spectroscopy characteristics. By analyzing char- acteristic absorption peaks, it enables non-destructive and rapid detection of key indicators such as fiber composition and moisture content. The detection time is reduced to the second level, and no chemical reagents are required. Due to its high speed, non-de- structive nature, and high accuracy, NIR spectroscopy has been widely applied in the field of textile inspection and testing. This paper introduces the principles and characteristics of NIR spectroscopy detection, comparing its advantages and disadvantages with traditional component detection methods. It outlines the current applications of NIR spectroscopy in textile inspection and testing from the perspectives of qualitative identification, quantitative analysis, and online detection. The focus is on analyzing research progress in spectral data preprocessing and feature extraction algorithms, classification models (qualitative), chemometric models (quantitative), and the integration of multimodal models. Additionally, this paper discusses technical bottlenecks and prospects, pro- viding theoretical support and technical reference for textile testing institutions, inspectors, and academic researchers. The aim is to promote the transformation of the textile industry toward intelligence and sustainability.