智能制造领域的数字孪生技术研究可视化知识图谱分析

陈昭明; 邹劲松

doi:10.13433/j.cnki.1003-8728.20220080

智能制造领域的数字孪生技术研究可视化知识图谱分析

doi: 10.13433/j.cnki.1003-8728.20220080

陈昭明^{1, 2,},
邹劲松³

1.
重庆大学，重庆　400044
2.
中国科学院大学重庆学院，重庆　400714
3.
中国科学院重庆绿色智能技术研究院，重庆　400714

基金项目: 国家自然科学基金青年基金项目(61605205)

详细信息

作者简介:
陈昭明（1985−），高级工程师，博士研究生，研究方向为产品数字化设计制造，智能制造系统与装备，zhaomingc_sc@163.com

中图分类号: TH166;TP39
计量
- 文章访问数: 128
- HTML全文浏览量: 366
- PDF下载量: 45
- 被引次数: 0
出版历程
- 收稿日期: 2020-11-30
- 网络出版日期: 2023-09-13
- 刊出日期: 2023-08-31

Analysis of Visual Knowledge Mapping in Intelligent Manufacturing Via Digital Twin Technology

CHEN Zhaoming^{1, 2
,},
ZOU Jinsong³

1.
Chongqing University, Chongqing 400044, China
2.
Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
3.
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China

摘要

摘要: 近年来智能制造已成为制造业未来发展的重要方向，作为践行智能制造理念与目标的数字孪生技术，为解决智能制造过程中的信息物理融合难题提供了有效手段，受到世界各国的广泛关注。为全面解析数字孪生技术在智能制造领域的研究动态和发展趋势，检索Web of Science(WOS)和中国知网(CNKI)数据库的数据源，采用Citespace5.7软件梳理了2011～2021年发表的国内外相关文献，绘制出科学知识图谱，并从文献特征、科研合作、研究热点及前沿分析等不同维度进行定性与定量分析。最后从技术层面和应用层面两个角度预测数字孪生技术在智能制造领域的发展趋势。
- 数字孪生 /
- 智能制造 /
- 研究热点及前沿 /
- 知识图谱分析 /
- 工业智能
Abstract: In recent years, intelligent manufacturing has become an important direction for the development of manufacturing industry. Digital Twin, as an enabling technology to practice the concept and targets of intelligent manufacturing, provides the effective means to solve the cyber-physical integration in the intelligent manufacturing, which has received the extensive attention in the world. In order to comprehensively analyze the research states and development trends of the digital twin technology in the intelligent manufacturing, according to the data sources of Web of Science (WoS) and China National Knowledge Infrastructure (CNKI), CiteSpace5.7 is used to sort out the publications from 2011 to 2021 at home and abroad. The map of scientific knowledge is drawn and analyzed qualitatively and quantitatively from different dimensions, such as literature characteristics, scientific research cooperation, research hotspots and frontiers. Finally, the development tendency of digital twin technology in the intelligent manufacturing is prospected from the angles of technology and application.
- digital twin /
- intelligent manufacturing /
- research hotpot and frontier /
- knowledge domains analysis /
- industrial intelligence

HTML全文

图 1 数字孪生的概念模型

Figure 1. Conceptual model of a digital twin

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图 2 智能制造领域数字孪生技术研究发文情况对比

Figure 2. Comparison of publisheddigital twin research in the field of intelligent manufacturing

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图 3 主要学科方向分布图

Figure 3. The distribution of the central disciplinary directions

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图 4 作者合作知识图谱

Figure 4. Knowledge graph of author collaboration

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图 5 研究机构合作图谱

Figure 5. Research institution collaboration network

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图 6 关键词共现图谱

Figure 6. Co-occurrence network for keywords

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图 7 关键词的突现度统计

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表 1 数据来源

Table 1. Data sources

名称	英文检索内容	中文检索内容
数据库类型	Web of Science核心合集	CNKI
检索方式	主题检索	主题检索
检索词汇	digital twin、intelligent manufacture、 advanced manufacturing technology、smart manufacturing	数字孪生、智能制造、先进制造技术
时间跨度	2011年～2021年	2011年～2021年
文献类型	article、review、letter	期刊、学位论文、会议
检索结果	623篇	296篇

下载: 导出CSV

表 2 研究热点高频词统计

Table 2. Keyword prominence statistics

序号	WoS			CNKI
序号	高频词	频次	中心度	高频词	频次	中心度
1	Digital twin	314	0.24	数字孪生	248	1.15
2	Industry 4.0	111	0.13	智能制造	163	0.55
3	Cyber physical system	64	0.11	大数据	30	0.03
4	Simulation	48	0.09	人工智能	21	0.04
5	Smart manufacturing	40	0.08	工业互联网	19	0.02
6	Big data	38	0.04	信息物理系统	19	0.08
7	Optimization	37	0.06	制造业	12	0.02
8	Model	31	0.02	数字孪生模型	10	0.03
9	Manufacturing	30	0.02	数字化转型	9	0.01
10	Management	22	0.06	智能工厂	8	0.02
11	Architecture	19	0.03	工业4.0	8	0.03
12	Machine learning	13	0.05	系统建模	6	0.01
13	Augmented reality	13	0.07	全生命周期	6	0.02
14	Prediction	12	0.02	新一代智能制造	5	0.01
15	Artificial intelligence	11	0.03	智能管控	5	0.01

下载: 导出CSV

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