Computer Integrated Manufacturing System ›› 2022, Vol. 28 ›› Issue (6): 1673-1684.DOI: 10.13196/j.cims.2022.06.007

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Visual analysis of digital twin development based on scientific knowledge graph

  

  • Online:2022-06-30 Published:2022-06-29
  • Supported by:
    Project supported by the National Social Science Fundation,China(No.19BGL029).

基于科学知识图谱的数字孪生发展可视化分析

刘晓冰1,2,王姝婷1,2,白朝阳1,2+   

  1. 1.大连理工大学制造管理信息化技术国家地方联合工程实验室
    2.大连理工大学经济管理学院
  • 基金资助:
    国家社会科学基金资助项目(19BGL029)。

Abstract: With the introduction of technologies and development strategies such as industry 4.0 and intelligent manufacturing,the research and application exploration in the field of digital twin has gradually become a research hotspot in recent years.Through the quantitative and visual bibliometric analysis method,the research results of the digital twins field was combed in WoS database,and the external characteristics of the literature in the digital twins field was analyzed by using the scientific metrology theory algorithm and visual analysis software.The research hotspots and hot spots evolution trend was discussed in the field,and the future research direction was put forward,which provided reference for the field scholars and enterprise practitioners who had pay attention to the field of digital twin provide.

Key words: digital twin, knowledge graph, visual analysis, research hotspot, field frontier

摘要: 随着工业4.0、智能制造等技术与发展战略的出台,数字孪生领域的研究与应用探索逐渐成为研究热点。通过定量化与可视化的文献计量分析方法,对WoS数据库中数字孪生领域的研究成果进行梳理,并运用科学计量理论算法与可视化分析软件分析了数字孪生领域的文献外部特征,讨论了领域的研究热点以及热点演进趋势,展望了领域未来的研究方向,为关注数字孪生领域的学者与企业实践者提供参考。

关键词: 数字孪生, 知识图谱, 可视化分析, 研究热点, 领域前沿

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