Performance monitoring of electric cable shovels

S. Patnayak, D. Tannant
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引用次数: 14

Abstract

A shovel performance monitoring study at an oil sands mine used current and voltage data from hoist, crowd and swing motors of P&H 4100 series electric cable shovels. The goal was to identify key shovel performance indicators using only data from the motors. It was found that hoist and crowd motor responses can be used to identify different shovel activities, especially the dig cycle. Some key shovel performance indicators examined are the dig cycle time, digging energy and digging power. By averaging the hoist power over a number of dig cycles, the average hoist power is less sensitive to digging trajectory and could be a useful parameter for assessing ground diggability characteristics. Analysis of performance indicators showed that the shovel performance can be significantly influenced by the operator. The study revealed that freezing temperatures can have a minor and localized influence on shovel performance.
电缆铲的性能监测
利用P&H 4100系列电缆铲车的提升电机、升降电机和摆动电机的电流和电压数据,在某油砂矿山进行了铲车性能监测研究。目标是仅使用来自马达的数据确定关键的铲性能指标。发现提升机和人群运动响应可以用来识别不同的铲子活动,特别是挖掘周期。考察了铲斗的关键性能指标为挖掘周期时间、挖掘能量和挖掘功率。通过对多个挖掘周期的提升机功率进行平均计算,平均提升机功率对挖掘轨迹的敏感性较低,可以作为评估地面可挖性特征的有用参数。性能指标分析表明,操作人员对铲斗性能有显著影响。研究表明,冻结温度可能对铲的性能有轻微和局部的影响。
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