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作 者:李相玉 LI Xiangyu(Xinzhihang Media Technology Group Co.,Ltd.,Jinan 250000,P.R.China)
机构地区:[1]新之航传媒科技集团有限公司,济南250000
出 处:《灯与照明》2025年第1期133-135,共3页Light & Lighting
摘 要:随着建筑业的蓬勃发展,建筑施工现场的电力管理成为提升施工效率与确保施工安全的关键环节。然而,传统电力管理模式存在诸多局限,如能源浪费、管理不规范及存在安全隐患等。旨在探讨基于先进技术的建筑施工现场电力管理优化方法,通过分析电力需求特征、引入智能传感器与大数据技术,以及实施设备能效协同管理,提出一系列优化策略,让施工现场能够实现电力需求的精确预测与动态调度,提升设备能效协同管理水平,以及实现电力消耗的动态优化。基于大数据分析,电力调度系统能够动态调整施工现场的电力供应,根据每个区域实时负荷需求调度,避免某些区域电力过载或闲置的情况,避免过度供电或供应不足的情况发生。这些优化方法不仅有助于节能减排,还能显著提升管理效率与施工安全性,为建筑施工现场的电力管理提供有益参考,以促进建筑行业的可持续发展。With the booming development of the construction industry,power management at construction sites has become a key link in improving construction efficiency and ensuring construction safety.However,traditional power management models have many limitations,such as energy waste,non-standard management,and safety hazards.This article aims to explore the optimization methods of power management in construction sites based on advanced technology.By analyzing the characteristics of power demand,introducing intelligent sensors and big data technology,and implementing equipment energy efficiency collaborative management,a series of optimization strategies are proposed.The construction site can achieve accurate prediction and dynamic scheduling of power demand,improve the level of equipment energy efficiency collaborative management,and achieve dynamic optimization of power consumption.Through big data analysis,the power dispatch system can dynamically adjust the power supply at the construction site,dispatch according to real-time load demand in each area,avoid situations of power overload or idle in certain areas,and prevent situations of excessive or insufficient power supply.These optimization methods not only contribute to energy conservation and emission reduction,but also significantly improve management efficiency and construction safety,providing useful references for power management at construction sites to promote the sustainable development of the construction industry.
关 键 词:建筑施工 电力管理 智能传感器 大数据分析 能效协同管理
分 类 号:TU721.2[建筑科学—建筑技术科学] TM73[电气工程—电力系统及自动化]
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