电气工程智能化中的数据融合技术研究  

Research on Data Fusion Technology in Intelligent Electrical Engineering

作　　者：刘艺霖 缑明哲 LIU Yilin;GOU Mingzhe(Gansu Tobacco Industry Co.,Ltd.Tianshui Cigarette Factory,Tianshui,Gansu 741020,China)

机构地区：[1]甘肃烟草工业有限责任公司天水卷烟厂,甘肃天水741020

出　　处：《移动信息》2025年第2期295-298,共4页Mobile Information

摘　　要：为探索数据融合技术在电力系统中的应用效益,文中通过实时数据分析和多源信息整合,研究了其在智能电网、配电自动化以及电动汽车充电基础设施管理中的实际应用.采用数据采集、状态监测、需求预测、优化控制等方法,系统性地评估了数据融合对提升设备运行效率、故障检测准确性和充电站管理效果的影响.结果表明,数据融合技术优化了电力设备预测性维护工作,提高了充电基础设施的运营效率,增强了电网的整体稳定性.该技术在降低能源消耗和运营成本方面具备巨大的潜力,为电力系统的持续优化和智能化管理提供了重要支持.In order to explore the application benefits of data fusion technology in power systems,this paper studies its practical applications in smart grids,distribution automation,and electric vehicle charging infrastructure management through real-time data analytics and multi-source information integration.Using methods such as data collection,condition monitoring,demand forecasting,and optimization control,the impact of data fusion on improving equipment operation efficiency,fault detection accuracy,and charging station management was systematically evaluated.The results show that data fusion technology significantly optimizes power equipment predictive maintenance,improves the operation efficiency of charging infrastructure,and enhances the overall stability of the power grid.This technology has great potential to reduce energy consumption and operating costs,providing important support for the continuous optimization and intelligent management of power systems.

关 键 词：数据融合技术 智能电网 配电自动化 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]