基于云存储技术的城市轨道交通视频监控系统扩容改造方案
刘东文1牛生奇2
Expansion and Renovation Plan for Urban Rail Transit Video Surveillance System Based on Cloud Storage Technology
LIU Dongwen1NIU Shengqi2
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作者信息:1.兰州市轨道交通有限公司， 730030， 兰州
2.广东华之源信息工程有限公司， 510700， 广州
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Affiliation:1.Lanzhou Rail Transit Co., Ltd., 730030, Lanzhou, China
2.Guangdong Huazhiyuan Information Engineering Co., Ltd., 510700, Guangzhou, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.20240220
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中图分类号/CLCN:U29-39
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栏目/Col:机电设备
摘要:
［目的］针对目前城市轨道交通既有线路视频监控系统存在的录像连续性保障不足、数据安全隐患、存储容量扩展受限、资源管理复杂等问题，亟须实施以云存储为核心的扩容改造。［方法］简述了云存储的定义、基本结构模型及应用优势。基于城市轨道交通既有线路视频监控系统的网络架构，从存储空间需求、设备空间需求、用电功率需求、带宽需求等方面对分布式云存储和集中式云存储两种架构方案进行了对比分析。在此基础上提出云存储改造方案架构，并从云存储管理系统的搭建、既有录像备份及云存储节点的建立，以及运营控制中心备份云存储节点的建立等3个阶段介绍了云存储改造方案的实施过程。［结果及结论］基于分布式云存储技术的视频监控系统扩容改造方案，采用数据块直接存储方式，在实现高可靠、高性能、高I/O(输入/输出)、易扩展、易管理的同时，既有效复用现有设备资源降低改造成本，又解决了存储设备迭代快、故障风险高、数据保留周期长等技术难题。
Abstracts:
［Objective］ In response to issues in existing urban rail transit video surveillance systems—such as insufficient continuity assurance for video recording, data security risks, limited storage capacity scalability, and complex resource management—it is urgently necessary to implement a cloud storage-centered expansion and renovation plan. ［Method］ The definition, basic structural model, and application advantages of cloud storage are briefly outlined. Based on the network architecture of existing urban rail transit video surveillance systems, a comparative analysis of distributed and centralized cloud storage architectures is conducted in terms of storage space demand, equipment space demand, power consumption demand, bandwidth requirements. On this basis, the architecture of the cloud storage renovation plan is proposed. The implementation process of the cloud storage renovation plan is described in three stages: construction of the cloud storage management system, backup of existing recordings and establishment of cloud storage nodes, and establishment of backup cloud storage nodes at the operation control center. ［Result & Conclusion］ The expansion and renovation plan for the video surveillance system based on distributed cloud storage technology adopts a direct data block storage approach. This solution achieves high reliability, high performance, high IO (input/output), scalability, and manageability. At the same time, it effectively reuses existing equipment resources to reduce renovation costs, and addresses technical challenges such as rapid hardware iteration, high failure risks, and long data retention periods.
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