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作 者:王向前[1] 郭璞昊 孟祥瑞[1] Wang Xiangqian;Guo Puhao;Meng Xiangrui(School of Economics and Management,Anhui University of Science and Technology,Huainan 232001,China)
机构地区:[1]安徽理工大学经济与管理学院,安徽淮南232001
出 处:《系统仿真学报》2023年第5期907-919,共13页Journal of System Simulation
基 金:国家自然科学基金(51874003);安徽省学科(专业)拔尖人才学术资助项目(gxbjZD2021051)。
摘 要:为研究煤炭绿色化开采模式,探寻满足基本产能目标下,采选充一体化煤炭生产物流系统生产瓶颈问题,促进井下煤矸物流协同高效运输。选用山西某矿为原型,运用排队论解析该采选充一体化煤炭生产物流系统运行过程,借助Anylogic仿真软件建立离散事件模型进行相关实验优化和计算。根据仿真结果发现:智能分选系统、提升设备和破碎机为该采选充一体化煤炭生产物流系统生产瓶颈,通过进行相关优化,可提高各设备利用率,促进系统协同运行。In order to study the green mining mode of coal,the bottleneck problem in the integrated production logistics system of underground coal mining,dressing,and backfilling under the goal of achieving the basic production capacity target is explored,so as to promote the coordinated and efficient logistics transportation of underground coal and gangue.A mine in Shanxi is selected as the prototype,and the queuing theory is adopted to analyze the operation process of the integrated coal production logistics system.A discrete event model is established with the help of Anylogic simulation software for related experimental optimization and calculation.According to the simulation results,the intelligent sorting system,lifting equipment,and crusher serve as the production bottlenecks of the integrated coal production logistics system,and relevant optimization experiments are carried out to improve the utilization rate of the equipment and promote the coordinated operation of the system.
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