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金属矿山 ›› 2025, Vol. 54 ›› Issue (6): 1-10.

• 专题综述 •    下一篇

大规模地下金属矿装备智能调度数字孪生关键技术

郝雪弟1,2   杨  建1   鲁自横1   葛世荣1,2,3   唐  硕1   郭鹏飞1    

  1. 1. 中国矿业大学(北京)机械与电气工程学院,北京 100083; 2. 煤矿智能化与机器人创新应用应急管理部重点实验室,北京 100083;3. 江西理工大学,江西 赣州 341000
  • 出版日期:2025-06-15 发布日期:2025-07-08
  • 通讯作者: 葛世荣(1963—),男,中国工程院院士,教授,博士,博士研究生导师
  • 作者简介:郝雪弟(1974—),男,副教授,博士,硕士研究生导师。
  • 基金资助:
    “十四五”国家重点研发计划项目(编号:2022YFC2904105,2023YFC3010400);国家自然科学基金项目(编号:52121003);河北省重点 研发计划项目(编号:23311805D)。 

Key Technologies of Intelligent Scheduling Digital Twin forLarge-scale Underground Metal Mine Equipment

HAO Xuedi 1,2   YANG Jian 1   LU Ziheng 1   GE Shirong 1,2,3   TANG Shuo 1   GUO Pengfei   

  1. 1. School of Mechanical and Electrical Engineering,China University of Mining and Technology-Beijing,Beijing 100083; 2. Key Laboratory of Intelligent Mining and Robotics,Ministry of Emergency Management,Beijing 100083,China; 3. Jiangxi University of Science and Technology,Ganzhou 341000,China
  • Online:2025-06-15 Published:2025-07-08

摘要: 针对矿山调度过度依赖人工完成、设备协同性差、生产效率低、智能化调度技术难以适应大规模生产调 度需求等问题,全面分析了地下金属矿的开采工艺和方法,总结出地下金属矿开采方法和工艺谱系,提出了多进路、 多采场、多盘区的平行作业模式是实现大规模地下金属矿高效开采的生产模式。 针对传统调度求解方法存在的问 题,划分了生产计划编制、开采设备接续和工序设备协同 3 个关键调度问题,提出了动态调度和多目标求解算法是求 解大规模地下金属矿智能调度问题的有效方法。 通过分析数字孪生技术为大规模平行作业模式以及动态多目标调 度提供了智能化服务载体,提出了包含物理装备层、虚拟孪生层、孪生数据层、传输数据层和孪生服务层的地下金属 矿装备智能调度数字孪生系统架构,从而为大规模采场装备集群智能调度提供了技术支撑,是智能矿山建设的必由 之路。 研究成果以期为进一步研发地下金属矿装备智能调度系统提供理论与技术支撑。 

关键词: 地下金属矿, 智能调度, 数字孪生, 多目标优化 

Abstract: In response to the problems of excessive reliance on manual operation in mine dispatching,poor equipment coordination,low production efficiency,insufficient intelligent dispatching technology,and difficulty in meeting the demands of large-scale production scheduling,a comprehensive analysis of the mining techniques and methods of underground metal mines was conducted. The mining methods and process spectrum of underground metal mines were summarized,and it was proposed that the parallel operation mode of multiple access routes,multiple mining areas,and multiple mining sections is the production mode for achieving efficient large-scale underground metal mine extraction. In view of the problems existing in traditional dispatching solution methods,three key dispatching issues,namely production plan formulation,equipment succession in mining, and equipment coordination in processes,were identified. It was proposed that dynamic dispatching and multi-objective solution algorithms are effective methods for solving the intelligent dispatching problems of large-scale underground metal mines. By analyzing the digital twin technology,it was found that it provides an intelligent service carrier for large-scale parallel operation modes and dynamic multi-objective dispatching. A digital twin system architecture for intelligent dispatching of underground metal mine equipment was proposed,which consists of the physical equipment layer,virtual twin layer,twin data layer,data transmission layer,and twin service layer. This provides technical support for the intelligent dispatching of large-scale equipment clusters in mining areas and is the inevitable path for the construction of intelligent mines. The research results are expected to provide theoretical and technical support for the further development of intelligent dispatching systems for underground metal mine equipment. 

Key words: underground metal mine,intelligent scheduling,digital twin,multi-objective optimization 

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