基于CiteSpace的中外煤矿智能化研究可视化分析

Visual Analysis Based on CiteSpace for Coal Mine Intelligence Research at Home and Abroad

煤矿智能化是实现煤炭工业高质量发展的有效路径,以CNKI和Web of Science数据库为数据源,借助可视化工具CiteSpace和文献计量方法,比较中外煤矿智能化研究进展,挖掘基础知识和研究热点,揭示发展趋势特征。研究表明:(1)中国发文量最高,占全球的30.71%,且呈指数增长趋势,研究从理论进入到应用阶段;学科交叉性较强,系统、计算、计算机是主要引用学科;研究机构种类丰富,但尚未形成核心作者群,缺乏跨学科、区域的合作;(2)文献共被引标识的主要知识基础为大数据与云计算、物联网和传感器以及机器学习和人工智能领域;(3)中外煤矿智能化研究均体现了研究方法与技术、智能控制和安全保障的研究框架,国内注重基础理论与技术体系架构,国外侧重具体技术与方法的实践应用;(4)“人工智能”“云计算”“数字孪生”“煤矿安全”等是国内煤矿智能化研究的热点和前沿。

Intelligent coal mine is an effective way to realize the high-quality development of coal industry.Taking CNKI and Web of Science databases as data sources,with the help of visualization tool CiteSpace and bibliometric methods,the research progress of coal mine intelligence at home and abroad was compared,basic knowledge and research hotspots were excavated,and the characteristics of development trend were revealed.The results are obtained as follows.Firstly,China has the highest number of publications,accounting for 30.71%of the world,and has an exponential growth trend.The research has entered the stage from theory to application.The interdisciplinary nature of the subject is strong,and systems,computing,and computers are the main citation disciplines.The research institutions are rich in variety,and have not yet formed a core author group,lacking interdisciplinary and regional cooperation.Secondly,the main knowledge bases of literature co-citation identification include big data and cloud computing,Internet of things and sensors,machine learning and artificial intelligence.Thirdly,the research on coal mine intelligence at home and abroad reflects the research framework of research methods and technologies,intelligent control and safety assurance.Domestic research focuses on basic theory and technology system architecture,while foreign research focuses on the practical application of specific technologies and methods.Lastly,"Artificial intelligence""cloud computing""digital twin""coal mine safety"and so on are the hotspots and frontiers of domestic coal mine intelligent research.