摘要
本课题着重研究了人工智能在电气工程自动化中的应用,并对其在数据采集和处理、运行控制优化和设备管理中的应用进行了深入的研究.研究显示,利用机器学习、深度学习等先进技术,在提高作业效率的同时,可有效减少人工作业造成的错误,达到对设备进行远程监测和可预见性维修的目的.通过强化装备和工艺匹配、积极引进专业人才的优化对策,以促进科技成果的转化.并以电机故障诊断为例,对人工智能技术在电气工程自动化领域的应用效果进行实证研究,为产业智能化升级提供强有力的支持与借鉴.
This study focuses on the application of artificial intelligence(AI)in electrical engineering automation,with in-depth investigations into data acquisition and processing,operational control optimization,and equipment management.Research demonstrates that advanced technologies such as machine learning and deep learning not only enhance operational efficiency but also effectively reduce human-induced errors,enabling remote monitoring and predictive maintenance of equipment.Optimization strategies—including strengthened equipment-process matching and proactive acquisition of specialized talent—are proposed to accelerate the translation of technological achievements.An empirical case study on motor fault diagnosis is presented to validate the effectiveness of AI technology in electrical engineering automation,offering robust support and reference for industrial intelligent upgrading.
作者
马小清
邵俊昱
Ma Xiao-qing;Shao Jun-yu(Changxing Electrical Engineering Co.,Ltd.,Huzhou 313100,Zhejiang Province,China;State Grid Changxing County Power Supply Company,Huzhou 313100,Zhejiang Province,China)
出处
《科学与信息化》
2025年第19期94-96,共3页
Technology and Information
关键词
人工智能技术
电气工程自动化
应用
Artificial Intelligence Technology
Electrical Engineering Automation
Application
