Open AccessResearch on Real Time Monitoring of Operation Status of Large Data Platform for Energy Conservation Supervision Based on Computer
Author(s) -
Kegang Bi,
Yongjiang Bi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/2/022052
Subject(s) - promotion (chess) , order (exchange) , energy (signal processing) , energy consumption , china , consumption (sociology) , environmental economics , value (mathematics) , computer science , energy conservation , risk analysis (engineering) , business , computer security , engineering , economics , finance , political science , social science , statistics , mathematics , electrical engineering , machine learning , sociology , politics , law
At present, the problem of large amount of energy consumption in our country has seriously affected the comprehensive economic development of our country and the uneven mobilization of social resources. The limitations of these problems have gradually aroused the attention of people from all walks of life. In order to meet the supervision of energy consumption in the environment of our society, people put forward the establishment of energy-saving supervision platform system [1] . In order to meet the healthy operation of the platform supported by the large data of energy-saving supervision in China, this paper also proposes a real-time monitoring technique for the operation status of the platform. We believe that through the development and support of this technology, we can ensure the smooth operation of the energy-saving supervision system. There is no doubt that this will lay a solid foundation for the further data mining and corresponding value promotion of the platform.