[数字孪生驱动的智能制造]基于文献计量的数字孪生研究进展分析

摘要/Abstract

摘要： 伴随物联网技术、云计算及机器学习等新一代信息技术的迅速发展，数字孪生技术已逐渐成为新的研究热点。基于文献计量法，对1994年以来全球486篇数字孪生相关论文的研究领域、国家与地区、论文发布期刊、关键词、研究作者及高被引论文等模块展开详细分析。结果表明，数字孪生作为一个新的研究课题，其技术挖掘性强，已在制造工程、计算机科学及电子工程等领域得到了广泛应用。在智能制造刚性需求的驱动下，数字孪生技术在未来具有非常好的理论研究和技术应用前景。

关键词: 文献计量, 数字孪生, 研究进展, 智能制造

Abstract: With the rapid development of internet of things, cloud computing and machine learning, digital twin technology gradually became one of the most important technologies in the 21st century. By means of bibliometrics, the research fields, countries/regions, journals, keywords, research authors, and highly cited papers of 486 digitally twin related papers retrieved were analyzed in detail.The results show that as a new research topic, digital twin has strong excavation ability and has been widely used in many fields such as manufacturing engineering, computer science and electronic engineering. Driven by the rigid demands of intelligent manufacturing, digital twin technology possesses a very good theoretical research and technological application prospects in the future.

Key words: bibliometrics, digital twin, research progress, intelligent manufacturing

中图分类号:

TP29

陈勇, 陈燚, 裴植, 王成. [数字孪生驱动的智能制造]基于文献计量的数字孪生研究进展分析[J]. 中国机械工程.

CHEN Yong, CHEN Yi, PEI Zhi, WANG Cheng. Digital Twin: Recent Development and Future Trend from Bibliometrics Perspective[J]. China Mechanical Engineering.

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