煤矿智能运维技术发展态势知识图谱分析  

Analysis of knowledge graph of development situation of intelligent operation and maintenance technology in coal mine

作　　者：储小渝 盛武[1] CHU Xiaoyu;SHENG Wu(School of Economics and Management,Anhui University of Science and Technology,Huainan,213000,China)

机构地区：[1]安徽理工大学经济与管理学院,安徽淮南213000

出　　处：《华北科技学院学报》2025年第2期59-64,共6页Journal of North China Institute of Science and Technology

基　　金：国家自然科学基金项目(71971003)。

摘　　要：为精确感知煤矿领域智能运维技术发展态势,采用文本挖掘知识图谱方法,依托中国知网(CNKI)数据库,以煤矿智能运维相关主题词进行文献检索,运用CiteSpace可视化文献计量工具构建知识图谱,从发文量、核心作者、研究机构、研究热点及前沿趋势等多维度进行态势感知。研究表明:煤矿智能运维技术研究正处于快速上升期,年发文量显著增长,已初步形成若干核心研究团队,但团队之间的合作松散,且未形成核心作者群;研究热点归纳为煤矿机电、故障诊断、状态监测、健康管理、在线诊断、深度学习、远程运维、预测性维护,人工智能技术成为煤矿智能运维领域发展的关键推动技术;进一步探索前沿发展趋势,该领域的研究具有阶段性特征,各技术热点之间正逐步融合;通过大数据分析和机器学习算法的深度应用,提出智能运维技术煤矿应用路径建议。To accurately perceive the development trend of intelligent operation and maintenance technology in the field of coal mine,the text mining knowledge graph approach is employed,relying on the China National Knowledge Infrastructure(CNKI)database.Literature retrieval is conducted using relevant keywords related to intelligent operation and maintenance of coal mines.The CiteSpace visualization bibliometric tool is utilized to construct the knowledge graph,and the situation was perceived from multiple dimensions such as the volume of published papers,core authors,research institutions,research hotspots,and frontier trends.The research indicates that the research on intelligent operation and maintenance technology of coal mines is in a rapid growth phase,with a significant increase in the annual volume of published papers.Several core research teams have initially emerged;however,the cooperation among teams is loose,and a core author group has not yet formed.The research hotspots are summarized as coal mine mechanical and electrical equipment,fault diagnosis,state monitoring,health management,online diagnosis,deep learning,remote operation and maintenance,and predictive maintenance.Artificial intelligence technology has become the key driving force for the development of the intelligent operation and maintenance field in coal mines.Further exploration of the frontier development trends reveals that the research in this field has phased characteristics,and the various technological hotspots are gradually integrating.Through in-depth applications of big data analysis and machine learning algorithms,suggestions for the application paths of intelligent operation and maintenance technology in coal mines are proposed.

关 键 词：煤矿智能化 智能运维技术 发展态势 CITESPACE 知识图谱 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]