摘要
为探究煤矿智能化发展趋势,以CNKI和Web of Science数据库为数据来源,利用CiteSpace软件对该领域2007-2021年间有关煤矿智能化的文献进行知识图谱分析。结果表明:中外文献发文量呈波动上升趋势,且中文文献多于外文文献;国内外作者、研究机构形成一定的研究群体,群体合作不多,团队规模有限,国内合作主要集中在科研企业、研究院、高校之间,外文文献作者、产出机构主要来自中国,体现我国对于煤矿智能化领域的研究学术参考价值较高;国内研究热点主要集中在“智慧矿山”、“智能化”、“物联网”、“大数据”等方面,“煤矿”、“系统性”、“煤矿开采”、“模型”等是国外煤矿智能化领域研究趋势。国内外的现有研究集中程度高、研究力度大、前瞻性强,为新时代煤矿行业智能化转型奠定了理论支撑。
In order to explore the development trend of coal mine intelligence,taking CNKI and web of science database as data sources,CiteSpace software is used to analyze the literature on coal mine intelligence from 2007 to 2021.The results show that the number of Chinese and foreign literature is fluctuating and rising,and the Chinese literature is more than the foreign literature;Domestic and foreign authors and research institutions form a certain research group,with few group cooperation and limited team size.Domestic cooperation is mainly concentrated among scientific research enterprises,research institutes and universities.The authors and output institutions of foreign literature are mainly from China,reflecting the high academic reference value of Chinese research in the field of coal mine intelligence;domestic research hotspots mainly focus on"smart mine","intellectualization","Internet of things","smart mine",etc."coal mine","systematicness","coal mining","model"are the research trends in the field of coal mine intellectualization abroad.The existing research at home and abroad has a high degree of concentration,strong research intensity and strong foresight,which has laid a theoretical support for the intelligent transformation of the coal mining industry in the new era.
作者
王丹
盛武
WANG Dan;SHENG Wu(School of Economics and Management,Anhui University of Science and Technology,Huainan,213000,China)
出处
《华北科技学院学报》
2022年第3期43-53,共11页
Journal of North China Institute of Science and Technology
基金
国家自然科学基金项目(71971003)
安徽高校省级科学基金项目(YJS20210411)
安徽省自然科学基金项目(1808085MG212)。