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FRAMEWORK FOR STOCHASTIC MODELING OF DRAGLINE ENERGY EFFICIENCY

机译:拖网能源效率随机建模框架

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Draglines are the main energy consumers in strip mines. Given the growing cost of energy and environmental concerns, it is important to properly understand dragline energy efficiency. The goal of current research at Missouri University of Science & Technology is to account for operator practice and operating conditions in modeling dragline energy efficiency. This paper presents preliminary correlation analysis and a framework for stochastic modeling of dragline energy efficiency. Thirteen operating parameters (including cycle times, payload, swing angle, and height of dump pile), operator working schedules, operating conditions, and drag, hoist, and swing energies were monitored for an 85 yd3 dragline. Operator effects were examined by two-sample t-tests. The relation between the parameters and energy consumption were assessed4 by correlation analysis and a stochastic modeling framework has been proposed for dragline energy efficiency. The results show that operator effects are significant (p< 0.05) and energy efficiency is correlated with operating parameters. The completed model will help the coal mines better predict energy consumption, with uncertainty, for different operating conditions.
机译:拉斗铲是露天矿的主要能源消耗者。鉴于不断增长的能源成本和环境问题,正确了解拉铲铲的能效非常重要。密苏里科技大学当前的研究目标是在对铲斗能量效率进行建模时考虑操作人员的实践和操作条件。本文提出了初步的相关性分析和拉铲索能效的随机建模框架。对于85 yd3的拉铲,监测了13个操作参数(包括循环时间,有效载荷,摆动角度和自卸堆高度),操作员的工作计划,操作条件以及阻力,提升和摆动能量。通过两个样本的t检验检查操作者的效果。通过相关分析评估了参数与能耗之间的关系4,并提出了随机模型来提高铲斗的能效。结果表明,操作者效果显着(p <0.05),能量效率与操作参数相关。完整的模型将帮助煤矿更好地预测不同运行条件下的能源消耗,并具有不确定性。

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