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In order to objectively present the research progress and development trend of digital twin in China, and by taking 215 literatures in CNKI core journals database as the data source, the knowledge map of digital twin in China is constructed by using the method of scientometrics and the tools of Vosviewer and CiteSpace. The results show that since 2017, the number of articles published by core journals has shown an upward trend; Through Vosviewer's analysis of the publishing institutions and authors, it is found that the research forces are mainly distributed in universities and research institutes, forming eight institutional groups represented by Beihang University, Xi'an University of Science and Technology, etc., with diversified research contents and regional characteristics. High level academic research groups in several fields have been formed and there are a lot of papers published in Computer Integrated Manufacturing Systems, Journal of Distance Education, China Mechanical Engineering and other journals, which indicates that the research on digital twin has gone deep into many research fields such as computer, distance education, machinery and so on. Through the analysis of keywords co-occurrence, clustering and emergent words by Citespace, it is found that intelligent manufacturing, information physical system, artificial intelligence, digital intelligence integration and intelligent pipe network are the research hotspots in this field, and research clusters represented by aerospace, future education and intelligent manufacturing have been formed; Digital twin model, virtual workshop and system simulation are the frontier topics of digital twin research in China.
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Basic Information:
DOI：10.16791/j.cnki.sjg.2021.11.019
China Classification Code:TP311.13;G353.1
Citation Information:
[1]ZHAO Liang,XU Na,ZHANG Wei.Progress, hotspot and frontier of digital twin research in China:Knowledge atlas analysis based on CNKI core journal database[J].Experimental Technology and Management,2021,38(11):96-104.DOI:10.16791/j.cnki.sjg.2021.11.019.
Fund Information:
国家自然科学基金项目（N0.71901206）; 江苏省建设系统科技项目（No.2018ZD328）; 江苏省高等学校自然科学研究重大项目“基于知识图谱的建设项目节能驱动机理及BIM优化策略研究”（No.21KJA560003）; 徐州市科技项目（KC19198）
2021-11-25
2021-11-25
2021-11-25