• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
采场全生命周期的矿压危害事件知识图谱表示方法研究
  • Title

    Research on knowledge graph representation method of minepressure hazard events in stope whole life cycle

  • 作者

    侯运炳陈柚龙王雅先孙振明任洁王乐耕马晶杜建标

  • Author

    HOU Yunbing;CHEN Youlong;WANG Yaxian;SUN Zhenming;REN Jie;WANG Legeng;MA Jing;DU Jianbiao

  • 单位

    中国矿业大学(北京)能源与矿业学院

  • Organization
    School of Energy and Mining Engineering,China University of Mining and Technology-Beijing
  • 摘要
    知识图谱是认知智能研究不可或缺的组成部分。针对采场矿压危害事件传统分析方法对煤矿开采过程中应力时空演化过程及隐患演化与风险防控关系等表达存在不足的问题,本文基于采场全生命周期提出一种采场矿压危害事件知识图谱表示方法:首先,从地质灾害的角度,分析采场应力及分布的动态特性,对矿压地质灾害中的各节点进行动态关联,提出顾及时空过程的采场矿压地质灾害知识图谱表示方法。其次,从事故的角度,分析采场矿压事故隐患演化与风险防控过程,将隐患耦合演化与防治措施融入知识图谱表示模型中。最后,运用Neo4j构建矿压危害事件知识图谱。结果表明:依据该表示方法构建的知识图谱,不仅刻画了灾害事件中不同对象的时空演化过程,还描述了隐患耦合演化过程以及对应的风险防控措施,为采场矿压危害的防治提供了智能研究途径。
  • Abstract
    Knowledge graph is an indispensable part of cognitive intelligence research. Aiming at the prob lem that the traditional analysis method of stope mine pressure hazard events has insufficient expression of the stress time and space evolution process and the relationship between hazard evolution and risk preven tion and control in the coal mining process,this paper proposes a knowledge graph representation method that based on the entire life cycle of stope for mining pressure hazard events. Firstly,from the perspective of geological disasters,the dynamic characteristics of stress and distribution in stope were analyzed. The dynamic correlation of various nodes in mine pressure geological disasters was established,and a knowl edge graph representation method for mine pressure geological disasters considering spatiotemporal processes was proposed. Secondly, from the perspective of accidents, the evolution of hazard and the process of risk prevention and control in mine pressure accidents were analyzed. The evolution of hazard and preventive measures were integrated into the knowledge graph representation model. Finally,Neo4j was used to build the knowledge graph of mine pressure hazard events. The results indicate that the knowledge graph constructed based on this representation method not only depicts the spatiotemporal evo lution processes of different objects in disaster events but also describes the coupling evolution process of hazards and corresponding risk prevention and control measures. This provides an intelligent research pathway for the prevention and control of mining pressure hazards in intelligent mining.
  • 关键词

    智能采矿采场矿压知识图谱隐患耦合风险防控

  • KeyWords

    intelligent mining;stope pressure;knowledge graph;hazard coupling;risk prevention and control

  • 基金项目(Foundation)
    国家重点研发计划(2017YFC0804303)
  • DOI
  • 引用格式
    侯运炳,陈柚龙,王雅先,等.采场全生命周期的矿压危害事件知识图谱表示方法研究[J].矿业科学学报,2024,9(2):295-303.
  • Citation
    HOU Yunbing,CHEN Youlong,WANG Yaxian,et al. Research on knowledge graph representation method of mine pressure hazard events in stopewhole life cycle[J]. Journal of Mining Science and Technology,2024,9(2):295-303.
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