智能电网海量非结构化数据分布式存储研究  

Research on distributed storage of massive unstructured data in smart grid

作　　者：马海鑫 余杰文 侯剑 韩吉安 宋学清 MA Haixin;YU Jiewen;HOU Jian;HAN Ji’an;SONG Xueqing(China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510600,China)

机构地区：[1]南方电网数字电网研究院有限公司,广东广州510600

出　　处：《电子设计工程》2023年第11期116-119,124,共5页Electronic Design Engineering

摘　　要：为了加快非结构化电网数据存储的译码速率,从而促进电网主机分布式存储能力的提升,提出智能电网海量非结构化数据分布式存储方法。定义MongoDB数据格式的方法,对电网信息实施复制处理,联合分布式存储架构完成智能电网海量非结构化数据库搭建。在此基础上,分析电网数据的特性能力,通过信息增删排查的方式,确定最终的分布式查询语句,搭建智能电网海量非结构化数据分布式存储模型,实现数据的分布式存储。与局部修复型存储编码方法相比,在分布式存储模型作用下,电网主机的存储译码速率最大值能够达到54.5 MB/s,可在实现非结构化电网数据快速转码的同时,提升电网主机分布式存储能力。In order to speed up the decoding rate of unstructured power data storage and improve the distributed storage capacity of power grid host,a distributed storage method of massive unstructured data in smart grid is proposed.By defining the MongoDB data format,the power grid information is copied,and combined with the distributed storage architecture to build a massive unstructured database of the smart grid.On this basis,analyze the characteristics and capabilities of power grid data,determine the final distributed query statement through information addition,deletion and troubleshooting,and build a massive unstructured data distributed storage model of smart grid to realize the distributed storage of data.Compared with the local repair storage coding method,under the action of the distributed storage model,the maximum storage and decoding rate of the power grid host can reach 54.5 MB/s,which can not only realize the fast transcoding of unstructured power data,but also improve the distributed storage capacity of the power grid host.

关 键 词：智能电网 非结构化数据 分布式存储 MongoDB格式 信息增删 查询语句 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]