摘要
随着国网公司信息化建设的不断推进,在整个电网的运检和管理的过程中都会产生海量的数据,这些数据中包含各场景产生的视频、图片、传感器数据和一些企业档案信息等非结构(异构)化数据.在面对如此大规模非结构化的数据存储要求时,传统关系型数据库已经表现的力不从心了.如何对此类数据进行高效地、廉价地和安全可靠地存储,并且可以快速检索与分析,是当下研究的重要热点课题之一.本文首先分析了电网大数据的产生及特征,然后综述了工业界大数据分布式文件存储技术,最后分析适合国网非结构化数据的分布式文件存储策略.
With the development of Smart Grid, in the process of the operation, maintenance and management of Smart Grid, massive heterogeneous data can been generated. The massive data includes videos, images, sensor data and some enterprise file information, etc. Traditional relational database is unable to store so large-scale unstructured data. So far, it is one of the hot research topics that how to store the unstructured data efficiently, cheaply, safely and reliably, and how to retrieve and analyze quickly. This paper analyzes the generation and characteristics of big data of Smart Grid, and review the storage technology of distributed file system in industry. Finally, we propose a distributed file system storage strategy for unstructured data of Smart Grid.
作者
张琦
陈艳
张春平
刘铭
ZHANG Qi CHEN Yan ZHANG Chun-Ping LIU Ming(NARI Group Corporation （State Grid Electric Power Science Research Institute）, Nanjing 210000, China State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China)
出处
《计算机系统应用》
2017年第2期30-36,共7页
Computer Systems & Applications
基金
国家电网公司科技项目(524606150122)
