Open AccessIntelligent Monitoring Analysis of Power Grid Monitoring Information Based on Big Data Mining
Author(s) -
Renjie Lu,
Ning Liu,
Di Li,
Xingzhi Luo,
Fan Ying
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 - 10.1088/1742-6596/1992/3/032132
Subject(s) - big data , grid , computer science , electricity , smart grid , power (physics) , process (computing) , power grid , data mining , real time computing , electric power system , reliability engineering , engineering , electrical engineering , physics , geometry , mathematics , quantum mechanics , operating system
With the rapid economic progress of various regions in China, the demand for electricity is also gradually increasing. In order to effectively solve this problem, we increase the coverage of the grid and the upper limit of power consumption. This has not only led to the economic development of some regions. Big data analysis technology has also been widely used [1]. However, the increase of power consumption also increases the burden of power grid staff. The working pressure of intelligent monitoring system of power grid monitoring information is also increased. In order to simplify the process of power grid information monitoring, data mining technology will be applied to the construction of intelligent monitoring system. According to the theory of power grid inspection, big data information monitoring technology can monitor the operation of power grid in real time. This paper briefly analyzes the current power grid information monitoring problems. This paper puts forward the structure design of power grid monitoring information system based on data mining. Finally, this paper proposes an effective data mining information monitoring algorithm.