Research on residual current warning technology based on big data analysis

作者：You Li, Chuanfu Xia, Yuan Zhuang, Baoquan Liao, Shuai Huang · 发表于：Journal of Physics Conference Series · 年份：2021 · DOI：10.1088/1742-6596/2108/1/012012 · 被引用次数：3 · 研究领域：Electrical Fault Detection and Protection、Smart Grid and Power Systems、Advanced Decision-Making Techniques

Abstract Residual current is the main cause of electrical fire. The traditional residual current monitoring methods often give delayed alarm, false alarm or even missed alarm, which cannot be applied in practice. This paper put forward the residual current detection solution based on big data analysis. The big data analysis based on residual current, temperature and humidity could detect residual current anomaly information as early as possible, realize fault monitoring and early warning. This method was applied to important facilities such as substation, data center. It could reduce or eliminate fire hazards, and provide decision basis for electrical fire warning.