Intelligent management and data platform architecture on important parts of rail vehicles

Abstract

The long-term operation and maintenance practice of rail vehicles show that the overall architecture and digital platform have important practical guiding significance for establishment of systematic intelligent management of rail vehicles in whole life cycle. Based on modular and integrated design, this paper proposed a six-layer architecture model for intelligent management of rail vehicle important parts in whole life cycle and built a digital platform for this six-layer architecture model. On this basis, the bogie an important part of rail vehicle is taken as the research object for case study, from intelligent image recognition of the front-end physical layer to the full life cycle information maintenance and management of application layer. The results show that data platform under this architecture model can realize problem defect tracking, fault prediction, remote maintenance and life cycle management of the same batch number of bogies, which lays a foundation for building an efficient and fast new model of intelligent health management of rail vehicles.