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Metal Mine ›› 2024, Vol. 53 ›› Issue (3): 190-.

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Simulation Analysis of Large-scale Open-Pit Mine Production Scheduling Oriented to Digital Twin

ZHOU Chen′ao1 ZHOU Keping1 ZHANG Xiaoping2 XU Jiye3 LI Jielin1 ZHANG Liangbing3   

  1. 1. School of Resources and Safety Engineering,Central South University,Changsha 410083,China;2. Tianhe Daoyun (Beijing) Technology Co. ,Ltd. ,Beijing 100176,China;3. Panzhihua Iron and Steel Group Mining Co. ,Ltd. ,Panzhihua 617000,China
  • Online:2023-03-15 Published:2024-04-25

Abstract: Driven by the transformation of digital production in metal mines,how to carry out detailed production simulation for digital twins from the perspective of future production prediction to improve the overall production efficiency has become an urgent problem to be solved. Aiming at the scheduling requirements of high accuracy,strong operability and good foresight, the digital twin system architecture of open-pit metal mine is constructed,and the application path of mine digital twin based on production simulation test is expounded. Combined with the analysis method of Job shop scheduling problem (JSSP), the objective function of shoveling equipment flow scheduling simulation was constructed based on the PT maximum of total cycle output and PM maximum of average output per unit,and the simulation test flow was designed including the construction of simulation model,testing model error,designing simulation test and analyzing test results. Finally,taking the fifth year production plan of an iron mine in Panxi as an example,based on the objective function,the simulation and prediction calculation of the stope transport and the whole process transport are carried out,and a total of 515 test schemes are calculated. The absolute value of calculation error of the model is controlled within 2%. Considering the balance among data such as production capacity, equipment load and equipment work efficiency,device scheme 480 and 229 are recommended as the optimal schemes. The results show that the designed simulation test flow and model prediction results are reliable,which can realize the multi-angle evaluation of scheduling schemes,and can provide a basis for the innovative application of large-scale continuous production system simulation.