基于知识图谱的智能露天矿山研究进展及趋势  

Research progress and trend of intelligent open-pit mine based on knowledge graph

作　　者：赵红泽[1] 郭卫洪 陆俊宇 郑雯 ZHAO Hongze;GUO Weihong;LU Junyu;ZHENG Wen(School of Energy and Mining Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China)

机构地区：[1]中国矿业大学(北京)能源与矿业学院,北京100083

出　　处：《露天采矿技术》2022年第3期8-13,17,共7页Opencast Mining Technology

摘　　要：梳理总结了国内外智能露天矿山发展历程,提出了我国智能露天矿山与国外研究存在差异性;利用CiteSpace软件对国内外智能露天矿山研究前沿内容进行可视化分析,并梳理出该领域的热点内容及关键技术;总结得出智能露天矿山的发展趋势在于数字化转型、顶层架构及标准细化研究、无人驾驶研究、智能装备革新、“5G+工业互联网”的深化应用、综合效益与技术融合发展等6方面。The article combs and summarizes the development process of intelligent open-pit mine at home and abroad,and puts forward the differences between intelligent open-pit mines in China and foreign research.We use CiteSpace software to visually analyze the cutting-edge contents of intelligent open-pit mine research at home and abroad,and sort out the hot contents and key technologies in this field.We conclud that the development trend of intelligent open-pit mines lies in six aspects:digital transformation,refinement of top-level architecture and standards,driverless research,innovation of intelligent equipment,"Deepening Application of 5G+industrial Internet"and integrated development of comprehensive benefits and technology.

关 键 词：智能化 知识图谱 CITESPACE 无人驾驶 数字化转型 

分 类 号：TD679[矿业工程—矿山机电]