In the production process of open-pit mines, transportation costs account for 45–60% of the total cost. Therefore, a reasonable and economic transportation system can effectively improve production efficiency. In this article, optimization of the layout of the fixed crushing station in the in-pit crusher and conveyor system of open-pit mining is studied. First, the entire ore body is discretized into multiple ore blocks. By calculating the transportation distance between each block and the crushing station, an optimized model for minimizing the total transportation work is established. Finally, combining the advantages of particle swarm optimization (PSO) and quantum PSO (QPSO), a two-stage fusion particle swarm optimization algorithm (TSF-PSO) is designed to solve the model, and the effectiveness of the model is verified by actual cases. Experimental data show that, compared with the PSO and QPSO algorithms, the solution efficiency of the TSF-PSO algorithm is improved by 2.83% and 1.48%, respectively.

在露天矿山的生产过程中，运输成本占总成本的45-60%。因此，合理、经济的运输系统可以有效地提高生产效率。【摘要】：本文研究了露天采矿井内破碎机及输送系统中固定破碎站的布置优化。首先，将整个矿体离散成多个矿块。通过计算各块体与破碎站之间的运输距离，建立了使总运输工作最小化的优化模型。最后,结合粒子群优化(PSO)和量子粒子群优化(QPSO)的优点,设计了两阶段融合粒子群优化算法(TSF-PSO)对模型进行求解,并通过实际验证了模型的有效性案件。