期刊文献+

基于CiteSpace的煤矿安全风险识别知识图谱分析 被引量:3

Analysis of knowledge map of coal mine safety risk identification based on CiteSpace
下载PDF
导出
摘要 为揭示煤矿风险管理趋势特征,采用CiteSpace技术绘制科学知识图谱,以CNKI和Web of science文献数据库1997-2020年有关煤矿安全风险关键词的文献为数据源,围绕作者分布、研究机构、关键词聚类、关键词演进趋势、关键词突现等内容,进行知识谱图构建与数据分析。结果显示:中国是煤矿安全风险的主要研究国家,中文发文量是外文的2.1倍,整体发文量呈上升趋势。国内机构中国矿业大学发文量最多,国外机构NIOSH发文量最多,但中外文研究者和机构缺乏合作交流。风险管控、隐患排查治理、双重预防机制、安全生产标准化是我国在该领域的前沿热点。智能化技术研究与应用,将是国内外学者共同关注的发展趋势。 In order to reveal the trend of coal mine risk management characteristics,CiteSpace technology is used to draw a scientific knowledge map.The literature on coal mine safety risk keywords from 1997 to 2020 in CNKI database and Web of science literature database is used as the data source.Knowledge spectrum construction and data analysis are carried out on the distribution of authors,research institutions,keywords clustering,keywords changing trend and keywords emergence.The results show that China is the main research country on coal mine safety risk,the number of Chinese publications is 2.1 times that of foreign languages,and the overall number of published articles is on the rise.The domestic institutions China University of Mining and Technology has published the most papers,and the foreign institutions NIOSH has issued the most papers,but there is a lack of cooperation and exchanges between Chinese and foreign language researchers and institutions.Risk control,hidden trouble investigation and management,dual prevention mechanism and safety production standardization are the frontier hot spots in this field in China.The research and application of intelligent technology will be a development trend that domestic and foreign scholars pay close attention to.
作者 江婷婷 盛武 JIANG Tingting;SHENG Wu(School of Economics and Management,Anhui University of Science and Technology,Huainan,232001,China)
出处 《华北科技学院学报》 2021年第1期81-90,共10页 Journal of North China Institute of Science and Technology
基金 国家自然科学基金项目(71971003) 安徽省自然科学基金项目(1808085MG212)。
关键词 煤矿安全风险 数据分析 知识图谱 CITESPACE 趋势特征 mine safety risks data analysis knowledge map CiteSpace trend features
  • 相关文献

参考文献7

二级参考文献62

共引文献249

同被引文献39

引证文献3

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部