Analysis of research hotspots and trends of digital twins in the context of intelligent manufacturing

Inhalt:
The arrival of the fourth scientific and technological revolution provides various countries with opportunities for development and transformation, and also makes them face the challenge of changes in the competitive landscape. Intelligent manufacturing has become a new battlefield for countries around the world to compete. In order to summarize the research experience and practical experience of digital twin, we propose practical research theories and practical countermeasures for industrial development. Based on the visualization software CiteSpace, the digital twinrelated literature included in the Web of Science core collection database is quantitatively analyzed, and the hotspots and trends of digital twin research are summarized and analyzed through the number of articles, the co-occurrence map of author institutions and the keyword clustering map. Research shows that: (1) Digital twin research has mainly experienced three stages: budding (2011-2016), starting (2017-2018) and development (2019-2021); (2) Artificial intelligence and digital twin model are the current hot research fields; (3) The future research trend is to strengthen school-enterprise cooperation and improve the level of digital twin building modeling.