摘要
介绍了城市轨道交通综合监控系统在全自动运行模式下面临的大规模数据并发控制与存储问题。提出了采用按域划分的分布式模式、多路并发访问的键值型实时数据库、时序型历史数据库等大规模全景数据并发控制及存储技术,以解决综合监控系统面临的大规模实时数据处理和历史数据存储问题。模拟数据测试结果表明:采用大规模全景数据并发控制及存储技术的轨道交通系统监控系统能够满足全自动运行模式下对实时数据处理与历史数据存储的性能要求。
The massive data concurrent control and storage problems faced by ISCS(integrated supervisory control system)of urban rail transit under FAO(fully automatic operation)mode are introduced.Then,the massive panorama data concurrent control and storage technologies,such as the distributed mode divided by domains,the key-valued real-time database accessed concurrently by multiple channels and the sequential historical database are proposed,in order to solve the massive real-time data processing and storage problems faced by ISCS.Through the performance test of ISCS with simulated data,it is verified that ISCS with massive panoramic data concurrent control and storage technology can meet the performance requirements of real-time data processing and historical storage under FAO mode.
作者
邓敏
于洋
DENG Min;YU Yang(Nanjing Rail Transit System Co.,Ltd.,210019,Nanjing,China)
出处
《城市轨道交通研究》
北大核心
2021年第3期195-199,共5页
Urban Mass Transit
