基于大数据和云计算的车辆智能运维模式

广州地铁基于多年的运营经验,在广泛收集所辖地铁车辆运营维护的实际"痛点"基础上,通过优化现有检修流程、增加车载于轨旁监测检测设备、引入前沿大数据和云计算等技术等手段,构建了地铁车辆的智能运维系统。智能运维系统可通过健全智能决策系统、工作协调及信息共享,对整个车辆运行过程进行仿真、评估和优化,并以车辆全生命周期数据为基础,提供车辆整个生命周期的故障和寿命的管理和预测数据,为实现车辆检修由计划修逐步转化为状态修提供了技术支撑。

Subway Vehicle Intelligent Operation and Maintenance Mode Based on Big Data and Cloud Computing

Based on years of operating experiences and the extensive collection of actual"Pain Points"in subway vehicle operation and maintenance under its jurisdiction,Guangzhou Metro builds the intelligent operation and maintenance system by optimizing the existing maintenance process,increasing the on-board and track side monitoring and testing equipment,adopting the advanced big data,cloud computing and other technical means. This system can simulate, evaluate and optimize the whole vehicle operation process through improving the intelligent decision-making system, work coordination and information sharing. Moreover,based on the whole vehicle life cycle data,the system can provide the management and prediction data of the faults and service life management during the whole life cycle of the vehicle.Finally, it provides technical support for the gradual transformation of vehicle maintenance from scheduled maintenance to condition-based maintenance.