基于云计算技术的信号集中监测系统架构设计方案
胡启正1余立伟2谢智多3
Architecture Design Scheme of Signal Centralized Monitoring System Based on Cloud Computing Technology
HU Qizheng1YU Liwei2XIE Zhiduo3
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作者信息:1.中国铁道科学研究院集团有限公司通信信号研究所， 100081， 北京
2.国能朔黄铁路发展有限责任公司， 062350， 沧州
3.北京华铁信息技术有限公司， 100081， 北京
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Affiliation:1.Signal and Communication Research Institute of China Academy of Railway Sciences Group Co., Ltd., 100081, Beijing, China
2.Guoneng Group Shuohuang Railway Development Co., Ltd., 062350, Cangzhou, China
3.Beijing HuaTie Information Technology Co., Ltd., 100081, Beijing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.02.034
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中图分类号/CLCN:U285
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栏目/Col:应用技术
摘要:
［目的］为满足铁路电务监测业务发展需求及解决传统信号监测系统架构业务耦合度高、业务部署耗时长、建设和运用成本高等问题，提出基于云计算技术的信号集中监测系统架构设计方案。［方法］介绍了传统信号集中监测系统体系架构及网络架构；分析了信号集中监测系统的应用现状及存在的问题；介绍了云计算技术提供的3种服务形式及部署方式，结合铁路安全生产相关要求及信号集中监测系统业务性质，对所提信号集中监测系统进行部署测试，并分析了其评价指标。［结果及结论］所提信号集中监测系统架构采用私有云方式进行部署，确保了数据和资产的安全可控性。该系统采用分布式架构和集群模式进行设计，能够运用自动化脚本实现配置信息读取、文件分发和进程操作，完成信号集中监测系统的自动化部署。测试结果表明，基于云计算技术的信号集中监测系统架构设计方案能够优化配置资源，灵活部署信号集中监测系统，具有稳定可靠的性能。
Abstracts:
［Objective］ To meet the development needs of railway electricity work monitoring services and address issues such as high coupling degree, lengthy deployment time, and high construction and operational costs in conventional signal monitoring system architectures, an architecture design scheme for a SCMS (signal centralized monitoring system) based on cloud computing technology is proposed. ［Method］ The architecture and network framework of conventional SCMS are introduced. The current application status and existing issues of the SCMS are analyzed. Three service forms and deployment methods provided by cloud computing technology are introduced. Combining the requirements of railway safety production and the nature of SCMS, the proposed SCMS is deployed and tested, and its evaluation indicators are analyzed. ［Result & Conclusion］ The proposed SCMS architecture is deployed using a private cloud, ensuring the security and controllability of data and assets. The system is designed using distributed architecture and cluster mode, enabling the use of automated scripts to read configuration information, distribute files, and operate processes, thus achieving the automated deployment of SCMS. Test results demonstrate that the architecture design scheme of SCMS based on cloud computing technology can optimize resource allocation and flexibly deploy the SCMS, exhibiting stable and reliable performance.
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