传统架构下的城市轨道交通弱电系统各子系统独立架设，具有设备多样、维护复杂、互联程度低等缺陷， 难以满足“智慧城轨”打破各类信息系统数据壁垒的建设需求。针对这些缺陷，提出基于“数字云底座”构建软 件模块化和智能硬件一体化设计思路，应用云计算、大数据、边缘计算、人工智能等通用信息技术，结合超融合 智能硬件开发技术、大数据中台技术、分布式云平台技术以及微服务综合治理平台技术的解决方案，研发基于云 平台的城市轨道交通自动化集成系统(以下简称“云交系统”)。通过对轨道交通业务特点进行分析，设计了基于 智能控制一体机的云交系统架构及微服务重构机制，整合了大数据及中台技术，并在多个项目中进行应用。应用 效果表明：云交系统有助于提高信息效率、降低运维成本，并支撑科学决策。

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.

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