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电气工程与自动化

Journal of Electrical Engineering and Automation

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Journal of Electrical Engineering and Automation. 2025; 4: (7) ; 10.12208/j.jeea.20250219 .

Design of intelligent monitoring system and hidden dangers of temporary power supply safety in mechanical and electrical engineering
机电工程中临时用电安全隐患及智能监测系统设计

作者: 谭冠军 *

福建灏艺建筑工程有限公司 福建福州

*通讯作者: 谭冠军,单位:福建灏艺建筑工程有限公司 福建福州;

引用本文: 谭冠军 机电工程中临时用电安全隐患及智能监测系统设计[J]. 电气工程与自动化, 2025; 4: (7) : 4-6.
Published: 2025/12/7 9:10:08

摘要

临时用电安全是机电工程中的重要环节,其隐患问题不仅影响工程的正常进行,还可能导致严重的安全事故。传统的用电安全管理方式多依赖人工监控,存在着效率低、反应迟缓等问题。为了提高临时用电安全性,本文提出了一种智能监测系统设计方案,通过物联网技术与大数据分析,实时监测电力设备的运行状态,自动预警潜在的安全隐患,保障工程施工中的用电安全。该系统的应用能够实现实时数据采集、自动报警、远程监控等功能,提高了临时用电管理的智能化水平。本文还对智能监测系统的架构、核心技术及实施效果进行了分析,为机电工程中的用电安全管理提供了新的解决思路。

关键词: 临时用电安全;智能监测;物联网;大数据;安全隐患

Abstract

Temporary power supply safety is a critical aspect in mechanical and electrical engineering. Potential hazards not only affect the normal progress of construction projects but may also lead to serious safety accidents. Traditional methods of power safety management largely rely on manual monitoring, which suffer from low efficiency and delayed response. To enhance the safety of temporary power usage, this paper proposes a design scheme for an intelligent monitoring system. By leveraging Internet of Things (IoT) technology and big data analytics, the system enables real-time monitoring of the operational status of electrical equipment, automatically issues early warnings for potential safety hazards, and ensures electrical safety during construction. The application of this system achieves real-time data collection, automatic alarm triggering, and remote monitoring, thereby significantly improving the intelligence level of temporary power management. This paper also analyzes the architecture, core technologies, and implementation effectiveness of the intelligent monitoring system, providing a novel solution for power safety management in mechanical and electrical engineering.

Key words: Temporary power supply safety; Intelligent monitoring; Internet of Things (IoT); Big data; Safety hazards

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