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Metal Mine ›› 2024, Vol. 53 ›› Issue (01): 64-71.

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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

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