Capacity-based performance measurements for loading equipment in open pit mines

Abstract

The purpose of this study is to develop an integrated framework for capacity analysis to address the influence of systematic hazardous factors on the haulage fleet nominal capacity. The proposed model was made to capture unexpected risks for mining equipment based upon data-driven method considering different scenarios. Probabilistic risk assessment (PRA) was employed to quantify the loss of production capacity by focusing on severity of failure incidents and maintainability measurements. Discrete-event simulation was configured to characterize the nominal capacity for mining operation. Accordingly, the system capacity was analyzed through the comparison of nominal and actual capacity. A case study was completed to validate the research methodology. The past operation and maintenance field data were collected for shovel operation. The discrete-event simulation was developed to estimate the rate of shovel nominal capacity. Then, the effects of undesirable scenarios were assessed by developing the PRA approach. The research results provide significant insights into how to enhance the production capacity in mines. The analyst gets a well judgment for the crucial elements dealing with high risk levels. A holistic maintenance plan can be developed to mitigate and control the losses.

摘要

本研究的目的是建立一个综合的能力分析框架模型, 以解决系统的危险因素对运输车队额定能 力的影响。该模型是基于数据驱动的方法, 考虑不同的场景, 捕捉采矿设备的突发风险。概率风险评 估(PRA)是通过关注故障事件的严重性和可维护性度量来量化生产能力的损失。配置离散事件模拟来 表征采矿作业的标称能力。在此基础上, 通过标称能力与实际能力的比较, 对系统能力进行了分析。 通过一个案例研究验证了本文的研究方法, 收集了铲运机过去的运行维护现场数据。采用离散事件模 拟方法对铲斗标称能力进行了估计, 然后, 通过开发PRA 方法来评估不良场景的影响。研究结果为 提高矿山生产能力提供了重要的启示。分析人员对处理高风险水平的关键因素有很好的判断, 可以制 定一个全面的维护计划来减少和控制损失。