The invention belongs to the technical field of rail transit vehicle state monitoring, and provides a rail transit vehicle state real-time monitoring and predicting system and method and a vehicle. The rail transit vehicle state real-time monitoring and predicting system comprises L1-L4 layers of equipment and three levels of mutually independent local area networks, the L1-layer device and the L2-layer device communicate through a first-level local area network, the L2-layer device and the L3-layer device communicate through a second-level local area network, and the L3-layer device and the L4-layer device communicate through a third-level local area network; the L2-layer device and the L3-layer device both adopt a host redundancy backup structure, and the secondary local area network is of a ring network structure; edge calculation modules are deployed in the L2-layer equipment and the L3-layer equipment, and a plurality of fault diagnosis algorithm models are embedded in the edge calculation modules. Through a multi-stage distributed architecture, hardware resources are modularly and flexibly configured, and real-time, efficient and reliable acquisition and processing of batch monitoring data of each subsystem of a train are met.
本发明属于轨道交通车辆状态监控技术领域,提供了一种轨道交通车辆状态实时监测与预测系统、方法及车辆。其中,轨道交通车辆状态实时监测与预测系统包括L1~L4层设备以及三个级别相互独立的局域网络;L1层设备和L2层设备通过一级局域网络通信,L2层设备和L3层设备通过二级局域网络通信,L3层设备和L4层设备通过三级局域网络通信;所述L2层设备和L3层设备均采用主机冗余备份结构,所述二级局域网络为环网结构;所述L2层设备和L3层设备内均部署有边缘计算模块,所述边缘计算模块内嵌入有若干故障诊断算法模型。其通过多级分布式架构,模块化灵活配置硬件资源,满足列车各子系统批量监测数据的实时、高效、可靠采集与处理。
Rail transit vehicle state real-time monitoring and predicting system and method and vehicle
轨道交通车辆状态实时监测与预测系统、方法及车辆
2023-08-11
Patent
Electronic Resource
Chinese
IPC: | B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC |
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