基于CiteSpace对国内智能矿山领域数字孪生的可视化分析
Visualization Analysis of Digital Twins in Domestic Intelligent Mine Field Based on CiteSpace
张琪 1盛武1
作者信息
- 1. 安徽理工大学 经济与管理学院,安徽 淮南 232001
- 折叠
摘要
为系统化分析矿山领域数字孪生技术研究与应用的特征,基于中国知网(CNKI)数据库智能矿山数字孪生相关主题词检索文献数据,使用可视化文献计量分析Citespace软件构建知识图谱,对所采集文献的特征、研究热点及前沿趋势进行分析.结果表明:2016 年以来智能矿山数字孪生研究的发文量快速增加,初步形成核心团队,团队间合作稀疏;中国矿业大学(北京)和西安科技大学是主要发文机构,中煤科工集团及煤企发文量次之;研究热点分布在露天煤矿、煤矿、人工智能、数字孪生、虚拟仿真和仿真6 个方面;前沿发展趋势具有阶段性特征,各技术热点融合演进.人工智能、数字孪生与虚拟仿真交叉融合,共同推动智能矿山发展.
Abstract
To systematically analyze the characteristics of the research and application of digital twin technology in the field of mining,the literature data are retrieved based on the keywords related to intelligent mine digital twin in the database of CNKI,the knowledge map is constructed by using visualized bibliometric analysis Citespace software,then the features,research hotspots and frontier trends of the collected literature are analyzed.Results show that since 2016,the number of publications on intelligent mine digital twin research has increased rapidly,and a core team has been initially formed,with sparse cooperations among teams.China University of Mining and Technology(Beijing)and Xi'an University of Science and Technology are the major publishing insti-tutions,followed by China Coal Science and Technology Group and coal enterprises.Research hotspots are dis-tributed in six aspects:open-pit coal mine,coal mine,artificial intelligence,digital twinning,virtual simulation and simulation.Such frontier technologies have phased features,and various technological hotspots are evolved well.Artificial intelligence,digital twin and virtual simulation integrate together to promote the development of in-telligent mine.
关键词
智能矿山/数字孪生/Citespace/知识图谱Key words
intelligent mine/digital twin/Citespace/knowledge map引用本文复制引用
基金项目
国家自然科学基金(71971003)
安徽省自然科学基金(1808085MG212)
出版年
2024
NETL
NSTL
维普
万方数据