Open AccessResearch on Intelligent Monitoring and Early Warning of Electric Power Safety Based on Artificial Intelligence Technology
Author(s) -
Yu Liu,
Zuowei Wang,
Yunzhi Pan,
Zuo Yue
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 - 10.1088/1742-6596/1748/5/052046
Subject(s) - warning system , safety monitoring , function (biology) , video monitoring , computer science , scale (ratio) , continuous monitoring , electric power , china , systems engineering , risk analysis (engineering) , engineering , power (physics) , real time computing , business , operations management , telecommunications , physics , quantum mechanics , microbiology and biotechnology , evolutionary biology , law , political science , biology
In recent years, with the continuous improvement of the national economic development level, the scale of urban construction in China is also gradually expanding. Therefore, since the monitoring system plays an important role in various industries, the establishment of an intelligent automatic management system can determine the unstable factors in the monitoring management and improve the safety performance of the monitoring system, so that the normal operation of the monitoring platform can be maintained. The establishment and function of the intelligent monitoring and early warning system are analyzed and studied in the paper, which combines traditional video monitoring equipment and data acquisition equipment into one, and launches a monitoring and early warning solution.