人工智能技术在电力工业工程设备维修中的应用研究  

Research on the Application of Artificial Intelligence Technology in Power Industry Engineering Equipment Maintenance

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作  者:戴虹 钟山 DAI Hong;ZHONG Shan(Guodian Nanrui Nanjing Control System Co.,Ltd.,Nanjing,Jiangsu 211106,China;Nanjing Power Supply Company,Nanjing,Jiangsu 210000,China)

机构地区:[1]国电南瑞南京控制系统有限公司,江苏南京211106 [2]南京供电公司,江苏南京210000

出  处:《自动化应用》2024年第S02期80-82,共3页Automation Application

摘  要:近年来,随着人工智能技术的不断发展,其在各领域中都展现出了巨大的潜力和应用前景。在电力工业工程设备维修领域,人工智能技术也开始得到广泛关注和应用。传统的设备维修往往依赖于人工经验或手动检修,存在效率低下、成本高昂、安全隐患等问题。而引入人工智能技术,通过数据分析、智能诊断等手段,可以实现设备故障的快速诊断及优化决策,从而提高设备的可靠性、安全性。基于此,旨在探究人工智能技术在电力工业工程设备维修中的应用现状和具体实例,以期为推动电力工业设备维修的智能化和高效化提供理论参考和实践指导。In recent years,with the continuous development of artificial intelligence technology,it has shown enormous potential and application prospects in various fields.In the field of power industry engineering equipment maintenance,artificial intelligence technology has also begun to receive widespread attention and application.Traditional equipment maintenance often relies on manual experience or manual maintenance,resulting in low efficiency,high costs,and safety hazards.Introducing artificial intelligence technology,through data analysis,intelligent diagnosis and other means,can achieve rapid diagnosis of equipment faults and optimize decision-making,thereby improving the reliability and safety of equipment.Based on this,this paper aims to explore the current application status and specific applications of artificial intelligence technology in the maintenance of power industry engineering equipment,in order to provide theoretical reference and practical guidance for promoting the intelligence and efficiency of power industry equipment maintenance.

关 键 词:人工智能技术 电力工业 工业工程 设备维修 数据分析 智能诊断 

分 类 号:TM73[电气工程—电力系统及自动化] TP311[自动化与计算机技术—计算机软件与理论]

 

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