Journal of Engineering Research

The electrical systems of modern buildings are complex and have a large electrical load, and electrical safety issues have become increasingly prominent. This paper conducts a research on the electrical safety monitoring and early warning system of modern buildings, aiming to improve the safety and reliability of the building electrical system through advanced monitoring technologies and intelligent early warning means. Analyzing the potential safety hazards and monitoring requirements of the electrical systems in modern buildings, this paper proposes a monitoring scheme based on the Internet of Things and big data; designs a multi-dimensional electrical parameter monitoring system to achieve real-time collection and analysis of parameters such as voltage, current, and electric leakage; constructs an intelligent early warning model, and combines machine learning algorithms to accurately identify and issue early warnings for abnormal data; verifies the effectiveness of the system through practical cases, providing technical support for the electrical safety management of modern buildings. This system can effectively reduce the incidence of electrical failures and ensure the safe operation of the building electrical system.

Modern buildings; Electrical safety; Monitoring system; Early warning technology; Intelligence