基于状态修的矿用电动轮自卸车电驱系统智能运维方案

Intelligent Operation and Maintenance Solution Based on Condition Repair for Electric Drive System of Mine Electric-wheel Dump Truck

重型矿用电动轮自卸车(简称“电动轮自卸车”)是大型露天矿山普遍采用的一种运载车辆装备,在矿区严酷复杂的应用环境下,其不仅关键部件故障率高,且一旦发生故障,维修更换困难,从而影响矿山生产,而且常规维护中采用的定期检和故障修方式,也会给矿山用户带来较高的维护成本。为此,文章提出一种基于状态修的电动轮自卸车电驱系统智能运维方案。不同于常规故障诊断与维护方案,其在对电机和变频器等电驱系统传动链关键部件进行故障诊断时,无需通过在关键位置布置加速度传感器进行信号采集与分析,而是根据电动轮自卸车电驱系统牵引变流器实时采集的电气信号并利用车地协同大数据平台,实现对电动轮自卸车电驱系统关键部件故障的早期识别和精准定位。应用结果表明,该方法不仅能有效提升矿用电动轮自卸车电驱系统的维护效率并降低系统成本,而且可以大大降低故障诊断成本。

Heavy-duty mine electric-wheel dump truck is one of the commonly used vehicles for large-scale open-pit mines. In harsh and complex application environment of the mining area, failure rates of key components of electric-wheel dump truck are high, and once a failure occurs, it is difficult to repair and replace, which will affect mine production. Regular inspection and fault repair used in routine maintenance will also bring greater costs to mine owners.This paper introduces an intelligent operation and maintenance scheme for electric drive system of mine electric-wheel dump truck based on state repair. Different from the conventional fault diagnosis and maintenance scheme, it does not need to collect and analyze signals through acceleration sensors on critical locations to obtain the results. Instead, it can be based on the real-time electrical signals collected by the traction converter of the drive system and using the vehicle-ground collaborative big data platform, the early identification and precise fault-positioning of key components of the drive system are realized. The method not only effectively improves the maintenance efficiency and reduces the cost of drive system of mine electric-wheel dump truck, but also can greatly reduce the cost of fault diagnosis.