计算机与数字工程2018，Vol.46Issue(5)：987-991,5.DOI:10.3969/j.issn.1672-9722.2018.05.028
面向电力大数据的多数据流实时处理技术研究
Research on Multi Data Stream Real-Time Processing Technology for Power Big Data
摘要
Abstract
With the formation and deepening of power big data,the traditional data batch technology cannot meet the require-ments of real-time application of current power grid.Real-time acquisition and real-time correlation calculation of multi-source da-ta has become a key factor to restrict the comprehensive application of big data.This paper combs the current situation of real-time processing of large-scale data processing at home and abroad,discusses the application requirements of real-time processing of power big data,and puts forward a real-time processing framework for multi-data stream for power big data,and builds real-time flow calculation platform to low-voltage user power calculation for the typical application scenarios for large-scale real-time comput-ing platform for power processing performance is verified.关键词
电力大数据/批处理/多数据流/实时处理/流计算Key words
power big data/data batch processing/multi data stream/real-time processing/stream computing分类
信息技术与安全科学引用本文复制引用
孟庆强,胡牧,孙立华,郑浩泉..面向电力大数据的多数据流实时处理技术研究[J].计算机与数字工程,2018,46(5):987-991,5.基金项目
国家电网公司科技项目"电力大数据实时处理及智能分析技术研究"(编号:524606150119)资助. （编号:524606150119）
