面向电力大数据的多源异构数据融合技术研究

Research on Multi-Source Heterogeneous Data Fusion Technology for the Big Data of Power

当前电力系统存在自动化系统繁多、数据标准多样、信息内容重复等问题,导致电网大数据面临多源异构数据分析与存储困难。在研究智能电网数据内容与类型的基础上,采用Web Service来设计多源数据接口和交换平台,提出基于SOA的多源异构数据融合架构,有效提升电力系统数据融合效率与数据应用能力。

There are many problems in the current power system,such as the large number of automation systems,the diversity of data standards and the duplication of information content,which leads to the difficulty in analyzing and storing multisource heterogeneous data.Based on the research of the content and type of smart grid data,this paper designs a multisource data interface and switching platform by using Web Service,and proposes a multisource heterogeneous data fusion architecture based on SOA to improve the data fusion efficiency and data application capability of the power system.