摘要
智能电网所产生的海量计量数据对数据存储和数据处理的系统架构提出了苛刻的性能要求,为此,文中提出了一种以内核、代理和客户端为主的模块化的大数据平台架构。所提议的大数据平台是基于Hadoop平台扩展,针对TB级别的静态智能电表数据集的存储和查询。实验结果表明,提议的大数据平台能够为电力行业提供一个具有竞争力且易于操作的大型能源数据管理和可视化知识平台,具有支持数据密集型决策的潜力。
The massive measurement data generated by the smart grid imposes stringent performance requirements on the system architecture of data storage and data processing.To this end,a modular big data platform architecture based on kernel,agent and client is proposed in this paper.The proposed big data platform is based on the Hadoop platform extension for storage and query of terabyte static smart meter data sets.Experimental results show that the proposed big data platform provides the power industry with a competitive and easy-to-use large-scale energy data management and visualization knowledge platform with the potential to support data-intensive decisions.
作者
叶海峰
陈存林
张炜
刘路登
朱刚刚
YE Hai-feng;CHEN Cun-lin;ZHANG Wei;LIU Lu-deng;ZHU Gang-gang(State Grid Anhui Electric Power Co.,Ltd.,Hefei 230000,China)
出处
《信息技术》
2020年第1期134-139,共6页
Information Technology
