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作 者:隋娜 樊国兴 樊国庆 SUI Na;FAN Guoxing;FAN Guoqing(Beijing Foreign Enterprise Human Resources Service Qingdao Co.,Ltd.Shinan Branch,Qingdao 266300,Shandong,P.R.China;Qingdao Lvrun Jiahe Construction Management Co.,Ltd.,Jining 272000,Shandong,P.R.China;Tongcheng Engineering Consulting Group Co.,Ltd.,Jining 272000,Shandong,P.R.China)
机构地区:[1]北京外企人力资源服务青岛有限公司市南分公司,山东青岛266300 [2]青岛绿润佳合建设管理有限公司,山东济宁272000 [3]同诚工程咨询集团股份有限公司,山东济宁272000
出 处:《灯与照明》2025年第1期190-192,共3页Light & Lighting
摘 要:随着社会的快速发展和科技的不断进步,电力系统在现代经济与生活中扮演着越来越重要的角色。传统的电力监控方法已难以满足日益增长的需求,需要智能化的监控技术来提升电力系统的管理水平和运行效率。近年来,信息技术和人工智能的飞速发展为电力系统的智能化监控提供了新的机遇。大数据、物联网、云计算等技术的应用,使得电力系统能够实时获取、分析和处理大量数据,从而实现对设备状态和运行环境的全面监控。智能化监控系统不仅可以提高故障预警和响应速度,还能通过数据分析优化电力调度和资源配置,降低运营成本,提高电力供应的可靠性。通过对智能化监控方法的研究,探讨其在电力系统中的应用途径,旨在为电力系统的智能化升级提供理论支持和技术指导。With the rapid development of society and the continuous progress of science and technology,power systems plays an increasingly important role in modern economy and life.traditional power monitoring methods can no longer meet the growing needs,and intelligent monitoring technology is needed to improve the management level and operating efficiency of power systems.In recent years,the rapid development of information technology and artificial intelligence has provided new opportunities for the intelligent monitoring of power systems.The application of big data,the Internet of Things,and cloud computing has enabled the power system to obtain,analyze,and process large amounts of data in real time,thereby enabling comprehensive monitoring of equipment status and operating environment.Intelligent monitoring systems can not only improve fault warning and response speed,but also optimize power dispatching and resource allocation through data analysis,thereby reducing operating costs and improving the reliability of power supply.This paper studies intelligent monitoring methods to explore their application approaches in power systems,aiming to provide theoretical support and technical guidance for the intelligent upgrade of power systems.
分 类 号:TM73[电气工程—电力系统及自动化] TP277[自动化与计算机技术—检测技术与自动化装置]
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