Research on the electrical safety monitoring and early warning system of modern buildings
现代建筑电气安全监测与预警系统研究

摘要

现代建筑电气系统复杂且用电负荷大，电气安全问题日益突出。本文针对现代建筑电气安全监测与预警系统展开研究，旨在通过先进的监测技术与智能化预警手段，提升建筑电气系统的安全性与可靠性。现代建筑电气系统的安全隐患与监测需求，提出基于物联网与大数据的监测方案；设计多维度电气参数监测系统，实现对电压、电流、漏电等参数的实时采集与分析；构建智能化预警模型，结合机器学习算法对异常数据进行精准识别与预警；通过实际案例验证系统的有效性，为现代建筑电气安全管理提供技术支持。该系统能够有效降低电气故障发生率，保障建筑电气系统安全运行。

Abstract

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.