关键词: 文献计量, CiteSpace, 棉纺机械, 智能化, 纺织强国

Abstract: In recent year, with the progress of the Internet of Things, artificial intelligence, and big data, etc. the intelligent research of textile industry has developed rapidly. Bibliometrics and the knowledge graph method were used as the research method, and CiteSpace scientific literature visualization analysis software was used to visually analyze the publication volume, research units, authors, and keywords of each year over the previous 20 years in order to clearly understand the research status and trend of cotton spinning enterprise intelligence in China. The findings demonstrate that China's cotton textile industry has undergone a scale of intelligent research in recent years, and literary study in this area has generally shown an increasing trend. However, there is a lack of network density among research teams and employees, poor communication, insufficient cooperation, and imperfect exchange and cooperation mechanisms. Digitalization, intelligence, and energy conservation have emerged as the top research trends for cotton textile intelligent firms, and intelligent research has grown in popularity according to the keyword map. Finally, A more developed intelligent system team should then be formed by universities, research institutes, etc. after improving collaboration and information exchanges with cotton spinning businesses. In order to achieve low equipment manufacturing costs, large data flows, and intelligent self-sustainability, it is also important to strengthen interdisciplinary integration and in-depth integration with businesses. This will help to promote the application of intelligent and sustainable development in China's textile industry.

Key words: bibliometrics, CiteSpace, cotton spinningmachinery, intelligent, tex-superpower