Architecture and Practice of an Integrated Automation System for Urban Rail Transit Based on Cloud Platform
In traditional architecture,each subsystem of an urban rail's low-voltage electrical system operates in isolation.This results in a myriad of equipment,complicated maintenance,and a limited degree of interconnectedness.This type of system struggles to align with the evolving requirements of intelligent urban rail infrastructures,particularly in overcoming data silos between different information systems.To address these challenges,this paper introduces a novel approach rooted in a"digital cloud base."Leveraging a combination of technologies—such as cloud computing,big data,edge computing,artificial intelligence,and more—along with advancements in super-converged smart hardware,big data centers,distributed cloud platforms,and microservices,we propose a comprehensive solution.This culminates in the development of a cloud-based platform for urban rail transit automation integration,termed the"cloud traffic system."Delving deeper,we examined rail transit business traits,leading us to design a unique architectural and micro-service reconfiguration mechanism for the system.Integrating big data and intermediary platform technologies,we implemented the cloud traffic system across multiple projects using a highly integrated smart control machine.Preliminary results indicate that this cloud-based approach enhances data efficiency,reduces operational and maintenance costs,and supports scientific decision-making.
NETL
NSTL
万方数据
维普
