Open AccessResearch on Application Scenario of Large Data Cloud Service Platform for Power Energy Measurement
Author(s) -
Anna Zheng,
Xunan Ding,
Huaiying Shang,
Yan Liu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/5/052079
Subject(s) - cloud computing , field (mathematics) , service (business) , computer science , perspective (graphical) , government (linguistics) , power (physics) , systems engineering , database , engineering , operating system , business , linguistics , philosophy , physics , mathematics , marketing , quantum mechanics , artificial intelligence , pure mathematics
This paper studies the technical framework and composition of the large data cloud service platform for power energy measurement, and discusses the application scenario design of the platform for government, enterprises and users. Three typical application scenarios of city perspective, suspected power theft intelligent diagnosis and intelligent analysis and application of residential power load characteristics are discussed in detail. Finally, the development of cloud platform and its application in business field are prospected.