崔光珍　黄航　肖艳秋　张国智

摘要：以中国知网（CNKI）和Web of Science（WOS）期刊库为数据来源，借助CiteSpace软件绘制科学知识图谱，对2000—2019年国内外模块划分研究文献的年度发文量、作者-机构合作分布、研究热点与演进趋势进行可视化分析，指出：模块划分领域的研究持续受到国内外学者的关注，主要经历了起步探索期（2000—2008年）、快速增长期（2009—2015年）和平稳发展期（2016—2019年）3个阶段;从核心作者和研究机构分布情况来看，中国和美国在模块划分领域的研究成果最为突出，表明中国已成为该领域在国际舞台上的中坚力量，但美国等发达国家依旧是主要研究群体;国内外研究热点多集中于产品绿色模块划分、产品设计、大规模定制等方面，国外研究更专注于复杂网络、多目标优化、生物网络模块性等多学科领域，国内则更侧重于对模块划分理论方法的研究，且应用范围较窄;未来研究将围绕基因网络、动力学分析、数字孪生等关键词展开，其中，解决复杂产品全生命周期模块的组织与布局，以及借助数字孪生把握产品功能模块粒度划分将是未来研究的重点与攻关方向.

Abstract：

Taking China National Knowledge Infrastructure （CNKI） and Web of Science （WOS） journal database as data sources， the annual publication volume of the research literature， author-institution cooperation distribution， research hotspots， and evolution trends from the domestic and foreign research literature on module division from 2000 to 2019 were visually analyzed with the CiteSpace software to draw scientific knowledge graph.It was pointed out that the research in the field of module division was paid close attention by seniors at home and abroad，and it experienced the following three stages： the initial exploration period （2000-2008）， the rapid growth period （2009-2015）， and the steady development period （2016-2019）.From the perspective of the distribution of core authors and research institutions， it was found that China and the United States had the most outstanding research results in the field of module division. It indicated that China had become the backbone of this field in the international stage and the developed countries such as the United States were still the main research groups.The domestic and foreign research focused on the products green module division， product design， mass customization， etc. However， foreign researches focused on the multi-disciplinary field，such as complex network， multi-objective optimization and biological network modularity.The domestic researches focused on theoretical methods of the module division with a narrow application scope.The future research will be conducted on key words such as national gene network， dynamic analysis， digital twin， etc. Among them， solving the organization and layout of the complex products life cycle modules as well as applying digital twins to grasp the granularity of product function modules will be the focus and direction for the future research.

0 引言

当前我国制造业正由传统数据资源密集型向知识信息密集型转化，传统机械设计方法已不能满足当前社会发展的需求，将逐渐

被新的设计方法取代.模块化设计能够满足多样化、定制化的市场需求，保证高质量、低成本的输出，增强产品竞争力，是实现智能设计制造的有效方法.作为产品模块化的基……