Design of Overall Framework of Self-Service Big Data Governance for Power Grid

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Design of Overall Framework of Self-Service Big Data Governance for Power Grid
	Qiao, Lin 3; Zhou, Qiaoni 3; Song CH(宋纯贺)1,2; Wu, Hao 3; Liu, Biqi 3; Yu SM(于诗矛)1,2
	2019
会议日期	August 24-25, 2019
会议地点	Nanjing, China
关键词	Data governance Power grid Self-service Framework design
页码	222-234
英文摘要	At present, power grid companies have not formed a complete data quality control system and a comprehensive and effective data quality assurance mechanism, which restricts the deep mining of data value. In this paper, based on the full-service unified data center of power Grid Company, a general framework of self-service power grid big data governance is presented. Firstly, the related work of big data governance is reviewed; secondly, the architecture and characteristics of the grid company’s full-service unified data center are analyzed; thirdly, the related requirements of self-service grid big data governance are analyzed; fourthly, the overall framework of self-service grid big data governance is proposed. Compared with other general big data governance framework, the proposed framework considers the specification of power grid as well as the features of self-service, making the framework more feasible.
产权排序	2
会议录	Machine Learning and Intelligent Communications - 4th International Conference, MLICOM 2019, Proceedings
会议录出版者	Springer
会议录出版地	Berlin
语种	英语
ISSN号	1867-8211
ISBN号	978-3-030-32387-5
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26025]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Song CH(宋纯贺)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
推荐引用方式 GB/T 7714	Qiao, Lin,Zhou, Qiaoni,Song CH,et al. Design of Overall Framework of Self-Service Big Data Governance for Power Grid[C]. 见:. Nanjing, China. August 24-25, 2019.