Abstract: Digital twin is a digital mapping technique that constructs simulation models to simulate the full life cycle process of a physical entity.This technology has broad application prospects in engineering,computer science,manufacturing engineering and other scientific fields.To comprehensively analyse the development trends and research trends of digital twin,the two databases of Web of Science and Google Scholar were searched and 7627 literatures on subject of “Digital twin” from 2000/01/01 to 2019/09/30 were summarized and analyzed statistically.The visual analysis software CiteSpace were used to conduct a series of knowledge map research,including the co-occurrence analysis and cluster analysis of the literature data.The results showed that the latest developments as the distribution of scholars at the national,institutional and research level,research cooperation,academic influence,research hotspots,and cutting-edge trends.Moreover,the results pointed out that future research should focus on development directions as sharing massive data,unifying modeling standards,innovating production practices and driving intelligent manufacturing.

Key words: digital twin, CiteSpace software, knowledge graph, research trends, development trends

摘要： 数字孪生技术是构建仿真模型模拟物理实体的全生命周期过程的数字映射技术。该技术在工程学、计算机科学、制造工程等科学领域具有广泛的应用前景。为全面分析数字孪生技术的发展趋势和研究动态,通过检索Web of Science和Google Scholar两大数据库,得到2000年1月1日~2019年9月30日间收录的以“Digital twin”为主题的7627条文献。再利用可视化分析软件CiteSpace对文献数据开展共现分析、聚类分析等一系列知识图谱研究,分析得出数字孪生技术在国家、机构及研究人员层面的学者分布现状、科研合作情况、学术影响、研究热点、前沿趋势等最新动态。最后,指出未来的研究趋势应集中在共享海量数据,统一建模标准,创新生产实践,驱动智能制造等发展方向。

关键词: 数字孪生, CiteSpace软件, 知识图谱, 研究动态, 发展趋势