由数据驱动的智慧矿山建设研究  

Research on construction of intelligent mine driven by data

作　　者：杨真[1,2] 郭昌放 王静宜[2] 熊伟 张建平 Yang Zhen;Guo Changfang;Wang Jingyi;Xiong Wei;Zhang Jianping(School of Mines,China University of Mining and Technology,Xuzhou 221116,China;China Tianxin Intelligent Interconnection Limited Company,Chaoyang,Beijing 100102,China)

机构地区：[1]中国矿业大学矿业工程学院智能采矿研究所,江苏省徐州市221116 [2]华夏天信智能物联股份有限公司,北京市朝阳区100102

出　　处：《中国煤炭》2019年第11期41-48,共8页China Coal

摘　　要：矿业行业是一个对数据高度依赖的行业,而目前矿山企业存在的信息孤岛和数据资源浪费问题不仅影响着企业的工作管理效率、带来潜在安全隐患,同时也是影响智慧矿山建设和发展的关键因素。以人、设备、环境等多源异构数据的全面感知、融合协同共享为基础,以大数据、云计算和人工智能等智能算法激活矿业工程数据价值为核心,提出了由数据驱动的智慧矿山建设的目标和框架,并分析了智慧矿山在业务应用层面的建设方案,为今后智慧矿山的发展和规划提供了参考。The mining industry is highly dependent on data.At present,the problem of information island and waste of the data resource in mining enterprises not only affects the production and management efficiency,but also brings potential safety hazards,and also is a key factor affecting the construction and development of intelligent mine.Based on the comprehensive understanding,interaction and sharing of multi-source heterogeneous data such as people,equipment and environment,this paper focused on the activation of mining engineering data with advanced algorithms such as big data,cloud computing and artificial intelligence.The goal and framework of the intelligent mine's construction driven by data was proposed,and the construction scheme of intelligent mine in application was analyzed,providing advice and reference for the development and planning of intelligent mine in the future.

关 键 词：数据驱动 智慧矿山 数据资源浪费 数据融合 人工智能 

分 类 号：TD-918[矿业工程]