面向设备状态评估的大数据底层平台设计（英文）  

The Design of Big Data Platform for Equipment Condition Assessment

作　　者：马艳 陈玉峰 刘兴华[3] 郭志红 苏东亮 孙溪[5] 

机构地区：[1]国网山东省电力公司电力科学研究院,济南250003 [2]全球能源互联网(山东)协同创新中心,济南250003 [3]国网山东省电力公司淄博供电公司,山东淄博255000 [4]山东中实易通集团有限公司,济南250003 [5]山东大学电气工程学院,济南250061

出　　处：《山东电力技术》2015年第8期23-26,42,共5页Shandong Electric Power

基　　金：supported by the National High Technology Research and Development Program of China(863 Program)under grant NO.2015AA050204

摘　　要：电力大数据环境形成已经是业内共识。Hadoop作为大数据处理工具事实上的标准,是构建可行的设备状态评估大数据平台的基础技术。面向输变电设备状态评估的大数据平台与其他平台最大的不同是,其具体应用是多样的、变化的、后续不断增加的。这对任何平台都是极大的挑战。分析输变电设备状态评估应用特征,提出基于Hadoop的大数据底层平台体系架构,并分别针对不同响应时间的业务处理特征提出解决方案,以有效解决一个平台适配多种业务应用特征的难题。It is known that the era of power big data emerges.As a de facto standard of big data processing tool,Hadoop is the basic technology of building big data platform for equipment condition assessment.Its biggest difference from other platforms is that its applications are various,changeful and continuously expanding.This is a huge challenge for any platform.We analyze the characteristics of equipment condition assessment applications and propose the architecture of big data platform for equipment condition assessment based on Hadoop.We also give effective solutions respectively for business applications with different response times,which address the problem of one platform adapting to multiple business processing models.

关 键 词：大数据 设备状态评估 离线处理 交互式处理 实时处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TM7[自动化与计算机技术—计算机科学与技术]