关键词: 关键共性技术, LDA主题模型, 社会网络分析, 智能纺织

Abstract: "Research on key generic technologies serves as a crucial support for advancing the innovative development of China's manufacturing industry. Accurate identification of key generic technologies has become a significant impetus for accelerating the transformation and upgrading of the industry. After extensively reviewing relevant references, it is found that research on the identification of key generic technologies has been applied in fields such as new materials, artificial intelligence, and new energy. However, no scholars have conducted relevant research in the textile and garment industry to date. Therefore, this paper focuses on the field of textile and garment, identifies the key generic technologies in this field, and provides substantive guidance and suggestions for relevant enterprises and departments. Firstly, the patent database of China National Intellectual Property Administration is used as the data source to collect patent data in the field of intelligent textiles. Based on the patent data, preprocessing operations are conducted. Subsequently, feature keyword extraction and the construction of a network relationship diagram are carried out to gain a preliminary understanding of the patent data, including the key classifications and correlation of patents in this industry. Secondly, the LDA topic model is used to uncover hidden high-intensity technical topics. Then, screening is conducted based on the ""co-occurrence"" and ""criticality"" of these technical topics. The co-occurrence degree of technical topics is evaluated through the co-occurrence rate index, so as to summarize the generic technologies. Afterwards, network analysis methods are applied, and the criticality of each node is quantified using three topological indicators: degree centrality, closeness centrality and structure holes. This further identifies the key generic technologies. The field of intelligent textiles represents the level of automation, informatization, intellectualization and digitalization of the entire industry, playing a significant role in promoting the digital transformation and high-quality development of the entire industry. Therefore, this paper focuses on the field of intelligent textiles within the textile and garment sector. The results indicate that graphene fibers, flexible nanofibers, polyurethane finishing agents, intelligent sewing technology, superhydrophobic coating technology, sensors, hydrogel conductive technology, carbon fiber composites, grafting technology, and 3D printing technology are the key generic technologies in this field. Finally, according to the identification results and the current development trends of the industry, substantive guidance and suggestions are provided for relevant enterprises and governments. It is recommended that related enterprises choose sustainable materials, manage production processes environmentally friendly, and strengthen technological innovation. For relevant governments, it is suggested to actively promote the concept of circular economy to relevant enterprises and consumers, and issue strong incentive policies to encourage enterprises to strive for upward development."

Key words: key generic technologies, LDA topic model, social network analysis, intelligent textiles