A semicontinuous process system consisting of a single-bucket excavator, truck, crushing station, and belt conveyor is the main coal mining process system of a large-scale hard coal open-pit mine. Through analyzing the coal mining production process, the key issues of coal mining truck flow optimization are obtained. Statistical method of using triangular fuzzy numbers analyzes the key time parameters of coal mining truck flow. Taking one shift, the minimum expected value of number of trucks, as the objective function, the fuzzy expectation of the coal mining semicontinuous process system is established with the constraints of the truck flow continuity at the loading and unloading point, the production capacity of the electric shovel, the production capacity of the crushing station, coal quality, and coal mining production tasks. The truck flow planning model is solved using particle swarm intelligence algorithm. The simulation results show that the result of truck flow planning can effectively reduce truck number, truck dispatching number, transportation costs, and truck queuing. The fuzzy expected truck flow planning model established by the study is suitable for solving the problem of optimizing and matching the production capacity in the process which links electric shovel, truck, and crushing station. It can effectively improve the production efficiency of electric shovel mining, truck transportation, and crushing station.

中文翻译：

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露天煤矿运煤车流量优化研究

由单斗挖掘机，卡车，破碎站和皮带输送机组成的半连续处理系统是大型硬煤露天煤矿的主要采煤处理系统。通过对煤矿生产过程的分析，得出了煤矿车流量优化的关键问题。利用三角模糊数的统计方法分析了运煤车流量关键时间参数。以卡车数量的最小期望值一档为目标函数，在卡车装卸点的卡车流量连续性，生产能力的约束下，建立了煤矿半连续过程系统的模糊期望。电铲，破碎站的生产能力，煤炭质量和煤矿开采的生产任务。使用粒子群智能算法求解了卡车流量规划模型。仿真结果表明，卡车流量规划的结果可以有效减少卡车数量，卡车派遣数量，运输成本和卡车排队。该研究建立的模糊期望卡车流量规划模型适用于解决电铲，卡车，破碎站连接过程中生产能力的优化与匹配问题。可以有效提高电铲开采，卡车运输，破碎站的生产效率。该研究建立的模糊期望卡车流量规划模型适用于解决电铲，卡车，破碎站连接过程中生产能力的优化与匹配问题。可以有效提高电铲开采，卡车运输，破碎站的生产效率。该研究建立的模糊期望卡车流量规划模型适用于解决电铲，卡车，破碎站连接过程中生产能力的优化与匹配问题。可以有效提高电铲开采，卡车运输，破碎站的生产效率。