Assessment of Rescue Facilities and Personnel in the Ghanaian Underground Mines

Sylvester Yenzanya, N. Amegbey
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引用次数: 1

Abstract

Stochastic simulation was conducted to analyse the fuel consumption of a shovel-truck system. An example shovel-truck system, comprising a single shovel and four trucks was considered. At 95% confidence interval, the monthly simulated fuel consumption by the shovel-truck system was found to be about 198 127 litres against the actual fuel consumption of 203 772 litres, registering a variance of -2.70%. About 22 000 litres of fuel was consumed per month due to truck waiting. Optimising the fuel consumption and truck waiting time can result in significant fuel savings. The paper demonstrates that stochastic simulation is an effective tool for optimising the utilisation of fossil-based fuels in mining and related industries.  Keywords: Stochastic, Simulation Modelling, Mining, Optimisation, Shovel-Truck Material Handling
加纳地下矿山救援设施和人员评估
对铲车系统的燃油消耗进行了随机仿真分析。考虑了一个铲车系统的例子,其中包括一个铲和四辆卡车。在95%的置信区间内,铲车系统的每月模拟燃油消耗量约为198127升,而实际燃油消耗量为2030772升,差异为-2.70%。每月约有22 000升燃油因货车等待而消耗。优化燃油消耗和卡车等待时间可以显著节省燃油。本文证明了随机模拟是优化采矿业和相关行业化石燃料利用的有效工具。关键词:随机,仿真建模,采矿,优化,铲车物料搬运
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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