Distributed Fault Early Warning of Urban Rail Transit Communication System Based on Twin Modeling

Aiming at the low operation and maintenance efficiency caused by the variety of equipment types and system format and the complex network structure of communication system of urban rail transit, this paper constructs a digital twin model of communication link based on space topology. Through multi-source heterogeneous data fusion and fault sensing representation method, a multi-modal virtual twin communication network for distributed real-time monitoring is established. Based on business breakpoints and log analysis, fault location is tracked and propagation compacts are identified to deduce multi-dimensional dynamic composite early warning for station-vehicle-line-network. The method is applied to the supervision system of metro communication and the applications shows it can provide decision support for intelligent operation and maintenance of large-scale urban rail transit network operation scenarios.