摘要
传统电力分析平台存在运行效率低的问题,为此提出一种电力大数据智能分析平台设计方法。平台采用电力数据压缩融合、副本融合以及数据排序融合算法处理多元化平台节点信息中的多元电力数据,同时对服务层数据和应用层数据进行集成引擎分析,设计平台分析层结构,并设计电力大数据平台核心智能分析功能,完成对核心电力数据的智能分析。实验结果表明,电力大数据智能分析平台各个操作内容的响应时间均明显小于传统电力数据分析平台,整体运行效率更高。
The traditional power analysis platform has the problem of low operation efficiency,so a design method of power big data intelligent analysis platform is proposed.According to the information nodes of the power big data intelligent analysis platform,the power data compression fusion,copy fusion and data sorting fusion algorithms are used to fuse the multiple power data in the node information of the diversified platform.At the same time,the service layer data and application layer data are integrated and analyzed,the platform analysis layer structure is designed,and the design of the platform analysis layer structure is completed.The intelligent analysis and design of the core power data is completed by designing the core intelligent analysis function of the power big data platform.Experimental results show that the response time of each operation content of the proposed platform is significantly less than that of the traditional power data analysis platform,and the overall operation efficiency is higher.
作者
包迅格
张景明
张吉
尚天婷
BAO Xunge;ZHANG Jingming;ZHANG Ji;SHANG Tianting(Information&Telecommunication Branch of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310020,China)
出处
《通信电源技术》
2021年第2期95-97,共3页
Telecom Power Technology
关键词
电力大数据
智能分析平台
多元化
power big data
intelligent analysis platform
diversification
