论文标题
无驾驶员采矿火车的实时路径计划具有时间相关的物理限制
Real-time Path Planning of Driver-less Mining Trains with Time-dependent Physical Constraints
论文作者
论文摘要
虽然自动化水平的提高导致开放矿山矿山的采矿活动的生产率提高，但矿山运输系统的容量变成了瓶颈。矿山运输系统的优化对于降低生产和运营成本并提高矿山的生产和组织效率具有重要意义。在本文中，我们首先通过引入一组数学约束来为矿山编程制定一个多目标优化问题。由于问题是NP-HARD，然后我们设计了一个基于整数的混合编程解决方案来解决此问题，并相应地开发在线框架。我们最终进行测试用例以评估所提出的解决方案的性能。实验结果表明，所提出的解决方案是有效的，能够实时生成火车时间表。
While the increased automation levels of production and operation equipment have led to improved productivity of mining activity in open pit mines, the capacity of mine transport system become a bottleneck. The optimization of mine transport system is of great practical significance to reduce the production and operation cost and improve the production and organizational efficiency of mines. In this paper we first formulate a multi-objective optimisation problem for mine railway scheduling by introducing a set of mathematical constraints. As the problem is NP-hard, we then devise a Mixed Integer Programming based solution to solve this problem, and develop an online framework accordingly. We finally conduct test cases to evaluate the performance of the proposed solution. Experimental results demonstrate that the proposed solution is efficient and able to generate train schedule in a real-time manner.
