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基于云边计算的市域车辆故障预测与健康管理技术架构

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当前,市域铁路进入高速发展期,市域车辆数量日益增多.为了保障市域车辆安全高效运行,需要对市域车辆的运行状态进行监测,并进行故障预警.采用故障预测与健康管理,可以有效降低市域车辆正线故障率,保障市域车辆平稳高效运行.对基于云边计算的市域车辆故障预测与健康管理技术架构进行研究,包括车载边缘侧架构和云侧架构,进一步提高市域车辆的可靠性与可用性.
Currently,urban railway has entered a period of rapid development,and the number of urban vehicles is increasing day by day.In order to ensure the safe and efficient operation of urban vehicle,it is necessary to monitor the operating status of urban vehicle and issue fault warning.By adopting prognostics health management,the failure rate of urban vehicle on the main line can be effectively reduced,ensuring the smooth and efficient operation of urban vehicle.Research was carried out on the technical architecture of urban vehicle prognostics health management based on cloud and edge computing,including vehicle edge side architecture and cloud side architecture,to improve the reliability and availability of urban vehicle further.

Rail TransitVehicleCloud and Edge ComputingPHMTechnical Architecture

叶都玮、杨俐、王雁飞

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上海轨道交通设备发展有限公司 上海 200245

上海申铁投资有限公司 上海 200032

中车长春轨道客车股份有限公司 长春 130062

轨道交通 车辆 云边计算 故障预测与健康管理 技术架构

2024

上海电气技术
上海电气(集团)总公司

上海电气技术

影响因子:0.232
ISSN:1674-540X
年,卷(期):2024.17(4)