Article(id=1308453961707582461, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453947069452650, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.01.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744732800000, receivedDateStr=2025-04-16, revisedDate=1755446400000, revisedDateStr=2025-08-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889334370, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889334370, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889334370, creator=13701087609, updateTime=1789889334370, updator=13701087609, issue=Issue{id=1308453947069452650, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='1', pageStart='1', pageEnd='165', issueExtLink='null', onlineDate='null', pubDate='1770652800000', pubDateStr='2026-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789889330879, creator='13701087609', updateTime=1789889788596, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308455866915639450, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453947069452650, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308455866915639451, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453947069452650, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=47, endPage=53, ext={EN=ArticleExt(id=1308453961900520447, articleId=1308453961707582461, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Application and Practice of Intelligent Switching Stations Based on Cloud Platform Architecture, columnId=1152669340382966151, journalTitle=Urban Rapid Rail Transit, columnName=Forum of Rapid Rail Transit, runingTitle=null, highlight=null, articleAbstract=

To overcome the limitations of the standalone architecture of traditional smart stations and promote the transformation of urban rail transit toward networked and intensive operation, this paper proposes and verifies a cloud-based deployment paradigm for intelligent switching stations utilizing a line-level cloud platform. First, guided by the Development outline for smart urban rail transit in China, a hierarchical and decoupled construction framework for intelligent switching stations is established, focusing on the flexibility and scalability of the system architecture. Taking Changsha Metro Line 6 as a case study, this paper elaborates on the implementation of cross-service collaboration and data model sharing among stations by leveraging the line-level urban rail transit cloud platform, including the design of data transmission protocols, the construction of platform architecture, and the optimization scheme of information flow. The deployment of the cloud platform has successfully connected the service data links of all stations along the line, enabling centralized monitoring and intelligent dispatching. Practical results show that this paradigm significantly improves the utilization efficiency of hardware resources, reduces operational costs and labor input, and optimizes the business processes of switching stations, cutting the operation time by approximately 80%. Meanwhile, the system effectively reduces the staffing requirement by 3-4 members. This study provides a replicable and scalable cloud migration path for the digital transformation of the rail transit industry. The infrastructure based on the line-level cloud platform can support the core capabilities of intelligent switching stations, realizing an integrated closed loop from "platform construction" to "operational deployment".

, authors=Xiong XIAO¹, Kun JIA², Jing HE¹, Xuyang SONG^{1, 3}, authorsList=Xiong XIAO, Kun JIA, Jing HE, Xuyang SONG, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308453962198316032, articleId=1308453961707582461, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=基于云平台架构的智能开关站应用与实践, columnId=1152669340680761737, journalTitle=都市快轨交通, columnName=快轨论坛, runingTitle=null, highlight=null, articleAbstract=

为克服传统智慧车站单体化架构的局限，推动轨道交通向网络化、集约化运营转型，提出并验证一种基于线路级云平台的智能开关站云端部署范式。首先，构建分层解耦的智能开关站建设框架，重点关注系统架构的灵活性与可扩展性。选择长沙地铁6号线作为实证载体，详细描述如何利用线路级城轨云平台实现车站间跨业务协同与数据模型共享，具体包括数据传输协议的设计、平台架构的构建以及信息流的优化方案。通过云平台的部署，成功打通全线车站的业务数据链路，实现集中监控与智能调度。实践结果表明，该范式显著提升硬件资源的利用效率，降低运营成本和人力投入，并优化开关站业务流程，减少约80%的操作耗时，同时，系统还有效减少3至4名工作人员的人工干预，为轨道交通行业的数字化转型提供可复制、可推广的云化迁移路径，基于线路级云平台的基础设施，可以承载智能开关站的核心能力，实现从“平台搭建”到“业务落地”的一体化闭环。

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肖雄，男，硕士，高级工程师，主要从事面向城市轨道交通数字化、智能化应用研究，xiaoxiong@pcitech.com

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肖雄，男，硕士，高级工程师，主要从事面向城市轨道交通数字化、智能化应用研究，xiaoxiong@pcitech.com

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