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金属矿山 ›› 2024, Vol. 53 ›› Issue (01): 64-71.

• “智能矿山建设与实践”专题 • 上一篇    下一篇

地下金属矿开采装备短间隔智能调度体系研究

侯 杰1 王 浩2 陈连韫1 李国清1 郭广军3 于倩倩3 童 川1,3
  

  1. 1. 北京科技大学土木与资源工程学院,北京 100083;2. 煤炭科学研究总院有限公司矿山大数据研究院,北京 100013;3. 山东黄金矿业(莱州)有限公司焦家金矿,山东 莱州 261441
  • 出版日期:2024-01-15 发布日期:2024-04-21
  • 基金资助:
    国家自然科学基金项目(编号:52304169,52074022);“十四五”国家重点研发计划项目(编号:2022YFC2903905)。

Short Interval Intelligent Scheduling Framework of Mining Equipment for Underground Metal Mine

HOU Jie1 WANG Hao2 CHEN Lianyun1 LI Guoqing1 GUO Guangjun3 YU Qianqian3 TONG Chuan1,3 #br#   

  1. 1. School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;2. Research Institute of Mine Big Data,Chinese Institute of Coal Science,Beijing 100013,China;3. Jiaojia Gold Mine,Shandong Gold Group Mining (Laizhou) Co. ,Ltd. ,Laizhou 261441,China
  • Online:2024-01-15 Published:2024-04-21

摘要: 作为矿山生产管理的重要内容,生产调度优化与管控可以充分利用产能、降低开采成本,因此成为现代 矿山降本增效的有效手段。 通过精细化调度管理和智能决策方法,实现复杂条件下的开采装备高效协同作业,充分 提高调度管控效率和矿山生产能力,是现阶段矿山开采装备智能调度需要解决的关键问题。 以地下金属矿山开采装 备调度过程为研究对象,以提高开采装备的作业效率和生产能力为目的,研究了开采装备智能调度管控模式、决策支 持算法和集成化应用。 针对现代地下金属矿生产实时化、精准化与智能化管控的新需求,提出了开采装备短间隔智 能调度新模式,形成了以“任务分解—任务配置—运输配置—作业指令—响应修正—分析反馈”为特征的短间隔闭环 调度方案。 设计了包括开采装备任务配置与调度优化算法、面向多级动态配矿的矿石流优化算法、无轨装备集群调 度控制优化算法的智能化决策支持算法库,实现由人工经验到智能决策的转变。 将开采装备短间隔智能调度体系进 行综合示范应用,满足了现代矿山精细化管控和智能化决策需求。 研究成果对于地下矿山开采装备作业过程的精细 化管控与开采效率提升具有指导意义,同时也为现代地下金属矿山的生产调度管理提供了理论和方法支撑。

关键词: 地下金属矿山, 智能调度, 短间隔控制(SIC), 开采装备, 智能矿山

Abstract: As an important part of mine management,scheduling optimization and control can make full use of production capacity and reduce mining costs,which is becoming an effective means to reduce costs and increase efficiency in modern mines. The key problem of intelligent scheduling at this stage is to achieve efficient and cooperative operation of mining equipment under complex conditions and to improve scheduling control efficiency and mine productivity through refined management and intelligent decision-making methods. Taking the equipment scheduling process of the underground metal mine as the study object and aiming at improving its efficiency and capacity,the intelligent scheduling control mode,decision support algorithm, and integrated application of mining equipment were discussed. Aiming at the new requirements of real-time,precision and intelligent control of modern underground metal mine production,a new intelligent scheduling framework of mining equipment with short interval was proposed,a short interval closed-loop scheduling implementation method was constructed,which includes task decomposition,task configuration,ore flow configuration,operation instruction,response correction,and feedback analysis. An intelligent decision support algorithm library was designed, including mining equipment task configuration and scheduling optimization algorithm,ore flow optimization algorithms for multi-level dynamic ore allocation,and trackless equipment cluster scheduling control optimization algorithms,which achieved a transformation from manual experience to intelligent decision-making. The framework was comprehensively demonstrated and applied in a metal mine,which can meet the requirements of lean control and intelligent decision-making in modern mines. The study results is of guiding significance for the refined management and mining efficiency improvement of equipment operation in underground mines. and also provide theoretical and methodological support for the production scheduling management of modern underground metal mines.

Key words: underground metal mine,intelligent scheduling,short interval control ( SIC),mining equipment,intelligent mine