模拟技术在确定露天矿山机队需求中的应用

R. Suglo, S. Al-Hassan
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引用次数: 4

摘要

当一个新矿山的最终可行性报告表明,在现有的技术经济条件下,该项目可以发展为露天矿山时,矿山管理者往往面临着如何确定产能、车队规模以及如何匹配物料搬运设备,以确保矿山的最大产量和盈利能力的问题。一种选择是使用在类似地理、地质和经济环境下的其他正在作业的矿山的结果。最近,大多数矿山管理越来越依赖其作业的计算机模拟结果,以确定设备匹配的能力、机队规模。本文使用Visual SLAM与AweSim仿真软件来确定加纳金矿KantaayeleGoldfields Ltd.的最佳车队规模,这将使该矿能够满足其废物剥离和矿石生产目标。演示了在矿山矿石和废料开采作业中使用仿真技术作为建模、制定和测试几个模型的工具。模拟运行结果表明,该矿初始机队每天轮班时间超过7.5小时,无法实现其采矿和废物剥离目标。将铲子和破碎机位置的等待时间和排队长度作为决定因素,发现采矿的最佳车队规模为选项E, 6辆80吨卡车运行时间超过1350分钟。就废物剥离作业而言,最佳车队规模为14辆80吨重的卡车。加纳矿业杂志Vol. 9 2007: pp. 25-32
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Use of Simulation Techniques in Determining the Fleet Requirements of an Open Pit Mine
When the final feasibility report on a new mine indicates that it is feasible under the prevailing technological and economic conditions to develop the project into an open pit mine, mine managers are often faced with the problem of determining the capacities, fleet sizes and how to match the materials handling equipment to ensure maximum production and profitability of the mine. One option is to use the results from other operating mines in similar geographic, geological and economic environments. Of late, most mine managements are increasingly depending on the results of computer simulations of their operations to determine the capacities, fleet sizes, for equipment matching. This paper uses the Visual SLAM with AweSim simulation software to determine the optimum fleet sizes of Kantaayele Goldfields Ltd., a gold mine in Ghana, which will enable the mine to meet its waste stripping and ore production targets. The use of simulation techniques as a tool in the modeling, formulation and testing of several models in the ore and waste mining operations of the mine are demonstrated. The results obtained from the simulation runs show that the mine cannot achieve its targets in ore mining and waste stripping with its initial fleets operating over 7.5-hour shifts per day. Using waiting times and queue lengths at the shovel and crusher locations as the determinants, the optimum fleet size for ore mining was found to be Option E with six 80-tonne trucks operating over 1350 minutes. For the waste stripping operations, the optimum fleet size was determined to be fourteen 80-tonne trucks. Ghana Mining Journal Vol. 9 2007: pp. 25-32
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