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铁路信号系统云计算技术安全研究
Safety Study on Cloud Computing Technology for Railway Signaling Systems
【摘要】 轨道交通正迎来以自动化和智能化为核心的深刻变革。铁路信号系统作为保障运行安全与效率的核心,其技术架构与实现方式也在发生根本性转变。安全计算技术是支撑轨道交通智能化转型、保障列车运行安全与效率的核心技术,云安全计算平台更是突破传统信号系统发展瓶颈的重要路径。在此背景下,对该技术领域的全球发展态势进行深入剖析,揭示信息使能技术与信号变革技术发展的规律,并围绕智能时代列车运行控制计算平台,探讨其需求特征、云安全平台的架构设计及关键技术。目前,云安全计算平台已在国内外多个项目中开展可行性研究,本研究将为铁路信号系统向云端转型提供技术参考,助力行业向更智能、更高效、更安全的方向发展。
【Abstract】 Rail transit is witnessing a profound transformation centered on automation and intelligence. As the core guarantee for operational safety and efficiency, the rail transit signaling system is also undergoing a fundamental shift in its technical architecture and implementation paradigm. Secure computing technology serves as a core enabler for the intelligent transformation of rail transit and guarantees the safety and efficiency of train operation. In particular, the cloud cloudbased safety-critical computing platform represents a critical approach to breaking through the development bottlenecks of traditional signaling systems. Against this backdrop, this paper conducts an in-depth analysis of the global development trends in this technical field, reveals the evolution laws of information-enabling technologies and signaling innovation technologies, and discusses the requirement characteristics, architectural design and the key technologies of the cloud-based safetycritical platform for train operation control computing platforms in the intelligent era. Currently, feasibility studies on cloud-based safety-critical computing platforms have been carried out in multiple domestic and international projects. This paper provides a technical reference for the cloudbased transformation of rail transit signaling systems and facilitates the development of the industry toward greater intelligence, efficiency, and safety.
【Key words】 Rail transit; Signaling system; Intelligentization; Cloud computing; Cloud-based safety-critical computing platform; Virtualization; Geographic redundancy;
- 【文献出处】 铁道通信信号 ,Railway Signalling & Communication , 编辑部邮箱 ,2026年05期
- 【分类号】U284
- 【下载频次】51