On April 27th, the “China's Textile Industry Smart Manufacturing Development Strategic Research” project achievement conference was held in Beijing. Academicians Sun Jinliang, Yu Jianyong, Zhou Xiang, and Jiang Shicheng of the Chinese Academy of Engineering, Wang Yuanjing, Deputy Inspector of the Second Bureau of the Chinese Academy of Engineering, and Consumer Products of the Ministry of Industry and Information Technology Deputy Director of the Division Cao Xuejun participated in the results announcement.
It is understood that the project was established and launched by the Chinese Academy of Engineering in 2016. The project research report consists of 9 chapters. It elaborates on the development strategy of China's textile industry in smart manufacturing. It intends to carry out the development of intelligent manufacturing for China's textile industry in the next 5 to 10 years. Strategic layout plan. Cao Xuejun said that intelligent manufacturing is an important starting point for the textile industry to achieve high-quality development. It is hoped that the project research report can be better applied and play a guiding and leading role in the intelligent manufacturing of the textile industry.
Smart Manufacturing Leads the Change of China's Textile Industry
Under the new trend of iterative evolution of information technology and changing the structure of production factors, China's textile industry urgently needs to accelerate the transformation and upgrading of new manufacturing modes and new modes of intelligent manufacturing, and further create new advantages in international competition, and move toward the high end of the global value chain of similar industries. . Sun Jinliang stated that based on a large amount of data research, corporate research, and high-level research, the project research report will support the lean manufacturing, high-efficiency manufacturing, flexible manufacturing, service manufacturing, and green manufacturing of China's textile industry.
Yu Jianyong said on behalf of the project team that the transformation and
upgrading of China's textile industry to intelligent manufacturing has been
started, and achieved in common technologies, intelligent manufacturing workshop
demonstrations, digitalized intelligent textile equipment and technology,
textile service manufacturing and network collaborative manufacturing, and smart
textile materials. Certain progress. However, compared with the advanced level
in foreign countries, China still has a series of problems. The main
manifestations are the lack of interconnection between textile equipment and
data, textile manufacturing data collection, information fusion, intelligent
implementation, and lack of intelligent operation capabilities. Textile
manufacturing is integrated with the new generation of artificial intelligence.
Slowly, most of the key components, basic components and electronic components
in textile intelligent manufacturing rely on the introduction. The main factors
constraining the development of smart manufacturing in the textile industry are
the traditional industrial thinking of a large number of textile companies, the
weakness of textile technology personnel and scientific and technological
resources, the lack of investment in R&D of textile intelligent manufacturing,
weak foundation of hardware and software in textile intelligent manufacturing,
and insufficient cross-domain cooperation. and many more.
Smart manufacturing is even more important for the textile industry. Yu Jianyong indicated that in the next 5 to 10 years, deepening supply-side structural reforms and income growth, rising labor costs, continued urbanization, implementation of high-end manufacturing strategies, sustainable ecological green development, and development of the Internet economy will promote the textile industry to further enhance market response. Degree and total factor productivity, providing more attractive employment, accelerating towards high-end, energy-saving emission reduction, accelerating the development of new models and smart textile products. In general, intelligent manufacturing will lead the transformation of China's textile industry from labor-intensive and resource-intensive to technology-intensive. It will shift from manufacturing to innovation, speed to quality, and product to brand. It will take the lead in the domestic traditional industries to the high end. Accelerating the development of intelligent manufacturing in the textile industry will help China's textile industry firmly grasp the initiative in the new round of changes in the world textile technology and changes in the industrial structure.
Take digital, network, and intelligence as the core support for decision-making and operation
For how to promote intelligent manufacturing in the textile industry, Yu Jianyong stated that companies must take digital, networking, and intelligence as the core, problem-oriented, and push smart manufacturing based on actual demand, and must do a good job of “data”. The digitization of all manufacturing elements such as equipment and equipment also requires people to “materialize” into numbers, digitalize various human behaviors, and realize data interconnection and interoperability on the basis of this, thereby realizing networking and intelligence, supporting decision-making and operation. . Based on this, companies can adopt different strategies according to their own different stages, step by step gradually.
At present, many people understand intelligent manufacturing as the application of automation or intelligent equipment, or from the technical point of view as industrial Internet, artificial intelligence, and so on. Yu Jianyong thinks that this is a one-sided understanding of intelligent manufacturing. For smart manufacturing, we must firmly grasp the core of “digital, network, and intelligence”, and we must pay attention to the comprehensive application of the Internet and the Internet of Things.
It is at the core of digitalization, networking, and intelligence that the project team proposed the basic paradigm for smart manufacturing in the textile industry, namely the textile industry intelligent manufacturing system based on HCPS (Human-Information-Physical System) and textiles based on industrial big data. Industry digital control system. These two paradigms not only integrate HCPS into the textile process, enabling state awareness, real-time analysis, scientific decision-making and precise execution, but also enable smart sensors to collect various data to form industrial big data through the whole process of interconnection and intercommunication, and on industrial big data platforms. The big data application scenario of textile production is achieved through industrial software.
Constructing a smart manufacturing system for the textile industry
The textile industry is in a new era of manufacturing. According to the research results of the project team, in the next 5 to 10 years, China's textile industry will pass the textile intelligent manufacturing foundation and support technology, the textile industry intelligent manufacturing new model technology, intelligent textile material technology R&D and industrialization application, platform construction and talent team construction. And so on, to build an intelligent manufacturing system for the textile industry, and to enhance the overall level of smart manufacturing in China's textile industry.
Under this system, the project team put forward eight key development tasks in the three major areas of the textile industry's intelligent manufacturing, and related overall development paths and development paths in each direction. The three major technical fields covering the intelligent manufacturing of the textile industry are the new pattern of intelligent manufacturing in the textile industry, smart textile equipment and common technologies and standards, and smart textile materials. The 8 directions refer to the textile intelligent manufacturing standards and common technologies, intelligent textile equipment technologies, chemical fiber intelligent manufacturing workshops (factories), textile processing intelligent workshops (factories), dyeing and finishing processing intelligent workshops (factory) clothing design and processing intelligence. , textile service manufacturing and network collaborative manufacturing, smart textile materials.
According to the research results of the project, the key tasks in the 8 directions involve the specific details of the textile process: the comprehensive standard structure of textile intelligent manufacturing, the integration and interoperability standards of textile intelligent equipment (all categories), the general technical standards and reference model of textile intelligent manufacturing plants , Textile Big Data Services and Industrial Internet Architecture Commonality Standards, Textile Industry IoT Platforms and Warehousing and Logistics, Textile Intelligent Manufacturing CPS (Information Physics System) Technology, Textile Intelligent Manufacturing Technical Specifications and Standards; Textile Intelligent Sensors and Control Units, Intelligent Detection Analytical devices, textile robots, textile smart shop (factory) equipment, textile equipment manufacturing intelligence; chemical fiber production intelligent equipment and system integration, chemical fiber digitalization and intelligent manufacturing execution control, chemical fiber enterprise networked and intelligent management system Intelligent spinning workshop (factory), intelligent weaving workshop (factory), intelligent knitting workshop (factory), intelligent non-woven workshop (factory); rapid detection method of printing and dyeing products, digital textile virtual printing process Models, on-line precision monitoring and control of printing and dyeing fluid concentration, interface and protocol standards for printing and dyeing equipment, and automatic scheduling of production planning; intelligent prediction of apparel product trends, intelligent clothing design, smart apparel 3D printing technology, intelligent clothing Production and processing; large-scale personalized customization technology for textile and clothing, web-based collaborative textile manufacturing technology, remote operation and maintenance of textile equipment and process optimization service technology; intelligent temperature-controlled textile materials, intelligent shape memory textile materials, intelligent color-changing textile materials, and electronic information intelligent textile material.
On this basis, the project team proposed a textile intelligent production technology based on CPS, a large-scale personalized customization technology for textile and apparel products, intelligent textile equipment and textile processing intelligent technologies, a green smart manufacturing ecosystem, and smart wearables. There are six major special recommendations, including textile technology and the intelligent manufacturing ecosystem support platform for the textile industry.
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