The Design and Implementation of the Enterprise Level Data Platform and Big Data Driven Applications and Analytics

被引:0
作者
Liu, Hesen [1 ]
Guo, Jiahui [1 ]
Yu, Wenpeng [1 ]
Zhu, Lin [1 ]
Liu, Yilu [1 ,2 ]
Xia, Tao [3 ]
Sun, Rui [3 ]
Gardner, R. Matthew [3 ]
机构
[1] Univ Tennessee, Knoxville, TN 37996 USA
[2] Oak Ridge Natl Lab, Oak Ridge, TN USA
[3] Dominion Virginia Power, Richmond, VA USA
来源
2016 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D) | 2016年
关键词
asset framework (AF); big data; common information model (CIM); data driven application; data integration; data platform; global model construction; time series database; visualization;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to improve the capability of utilizing big data and business intelligence in the power industry, this paper presents a comprehensive solution through building an enterprise-level data platform based on the OSIsoft PI system to support big data driven applications and analytics. The platform has the features of scalability, real time, service-oriented architecture and high reliability. Compared to traditional platforms in the power industry, the significant benefit of the innovative platform is that end users can use the data with the global model to drive the self-customized services rather than depend on IT professionals to deploy the service. The paper also describes how to implement data integration, global model construction and big data driven analytics, which are difficult to achieve with traditional solutions. Meanwhile, the paper exhibits preliminary visualization results through data analysis in real scenarios.
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页数:5
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