我国数字孪生研究的进展、热点和前沿——基于中国知网核心期刊数据库的知识图谱分析  

Progress, hotspot and frontier of digital twin research in China:Knowledge atlas analysis based on CNKI core journal database

作　　者：赵亮[1,2] 许娜[2] 张维[3] ZHAO Liang;XU Na;ZHANG Wei(School of Information and Electronics Engineering,Jiangsu Vocational Institute of Architectural Technology,Xuzhou,221116,China;Smart Building Research Center,China University of Mining and Technology,Xuzhou,221000,China;Institute of Building Intelligence,Jiangsu Vocational Institute of Architectural Technology,Xuzhou,221116,China)

机构地区：[1]江苏建筑职业技术学院信电工程学院,江苏徐州221116 [2]中国矿业大学智慧建造研究中心,江苏徐州221000 [3]江苏建筑职业技术学院建筑智能学院,江苏徐州221116

出　　处：《实验技术与管理》2021年第11期96-104,共9页Experimental Technology and Management

基　　金：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)。

摘　　要：为了客观呈现我国数字孪生的研究进展和发展趋势,以中国知网数据库215篇核心期刊文献作为数据源,采用科学计量学的方法结合Vosviewer和Citespace工具构建了我国数字孪生研究知识图谱。研究结果表明,从2017年起,核心期刊发文量呈现上升趋势;通过Vosviewer对发文机构和作者进行分析发现,研究力量主要分布在高校和研究所,形成了以北京航空航天大学、西安科技大学等为代表的8个机构群,研究内容多元化且具有地域特色;形成了数个领域高水平学术研究群体;《计算机集成制造系统》《远程教育杂志》《中国机械工程》等刊物发文量较多,标志着我国对数字孪生研究已经深入计算机、远程教育、机械等多个研究领域。通过Citespace对关键词进行共现、聚类和突现词分析发现,智能制造、信息物理系统、人工智能、数智融合和智慧管网是该领域的热点问题,并形成了以航空航天、未来教育、智能制造为代表的研究聚类;数字孪生模型、虚拟车间、系统仿真等是我国数字孪生研究的前沿主题。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.

关 键 词：数字孪生 知识图谱 Vosviewer 研究热点 前沿演进 

分 类 号：G353.11[文化科学—情报学]