| 引用本文: | 喻 宜,吕志来,齐国印.分布式海量时序数据管理平台研究[J].电力系统保护与控制,2016,44(17):165-170. |
| YU Yi,LÜ Zhilai,QI Guoyin.Research on distributed large-scale time seriesdata management platform[J].Power System Protection and Control,2016,44(17):165-170 |
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| 摘要: |
| 为了解决电力大数据环境下目前数据库产品无法高效管理海量时序类型数据难题，引入当前主流的分布式技术架构实现了真正意义分布式架构GAIA海量时序数据管理平台，保证系统更加稳定、可靠。采用具有可配置层次关系结构的模型中心来解决海量测点的管理问题。基于时间分片、事件驱动的前置数据采集系统有效解决海量终端的实时数据采集性能问题。从而能够提高大规模时序数据的管理能力，满足电力行业数据管理平台的要求，大力推进电力行业信息化发展。 |
| 关键词: 电力大数据 实时数据库 分布式存储 信息化 |
| DOI：10.7667/PSPC160792 |
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| Research on distributed large-scale time seriesdata management platform |
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YU Yi,LÜ Zhilai,QI Guoyin
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(Beijing XJ Electric Co., Ltd., Beijing 100085, China)
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| Abstract: |
| To solve problem that current database is unable to manage large-scale time series data efficiently under power big data environment, the GAIA distributed large-scale time series data management platform using popular distributed architecture is established, to ensure stability and reliability of system. It uses model center of configurable hierarchical relation to solve problem for large-scale measure point management. It adopts event-driven and time slicing technology to effectively solve the problem for performance of large-scale terminal real time data acquisition. The proposed platform can greatly improve the capabilities to manage large-scale time series data, meet the requirements of the power industry data management platform and vigorously promote the development of electric power industry information. |
| Key words: power big data real-time database distributed storage information technology |
