A Data Lake Architecture for Monitoring and Diagnosis System of Power Grid

被引：4
|
作者：
Li, Ying [1 ]
Zhang, AiMin [1 ]
Zhang, Xinman [1 ]
Wu, Zhihui [2 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China
[2] Guangdong Xian Jiaotong Univ Acad, 3 Daliangdesheng East Rd, Foshan 528000, Guangdong, Peoples R China
来源：
PROCEEDINGS OF 2018 ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING CONFERENCE (AICCC 2018) | 2018年
关键词：
Data Lake; Monitoring And Diagnostic; Data Pond; Power Grid;
D O I：
10.1145/3299819.3299850
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a data lake architecture is proposed for a class of monitoring and diagnostic systems applied to power grid. The differences between data lake and data warehouse is studied to make an informed decision on how to manage a huge amount of data. To adapt to the characteristics and performances of historical data and real-time data of power grid equipment, a monitoring and diagnosis system based on data lake storage architecture is designed. The application of the framework indicates the applicability and effectiveness of data lake architecture.
引用
收藏
页码：192 / 198
页数：7
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