摘要
介绍了高铁站机电设备运维现状,梳理了当前设备监测及故障诊断方面的方法,并在雄安高铁站开展机电设备人工智能运维系统的研究,对研究思路、搭建系统架构、关键技术、系统应用等进行阐述,以暖通空调设备为代表讲述系统研究应用情况,总结出人工智能技术在高铁站房设备监测及故障预警方面的应用方向和具体方法,为未来设备监控及运维管理工作的高质量开展提供参考,对其他高铁站房的设备运维及故障诊断具有较好的借鉴意义。
This paper introduces the current situation of operation and maintenance of electromechanical equipment in high-speed railway station,combs the current methods of equipment monitoring and fault diagnosis,and carries out the research on artificial intelligence operation and maintenance system of electromechanical equipment in Xiong’an Railway Station.Then,it expounds the research ideas,system architecture,key technologies and system application,and describes the research and application of the system represented by HVAC equipment.At last,it summarizes the application direction and specific methods of artificial intelligence technology in equipment monitoring and fault early warning of high-speed railway station buildings,which provides a reference for the high-quality development of equipment monitoring and operation and maintenance management in the future,and has a good reference significance for equipment operation and maintenance and fault diagnosis of other high-speed railway station buildings.
作者
张桂平
董建林
李文友
钟沫
刘佳
ZHANG Guiping;DONG Jianlin;LI Wenyou;ZHONG Mo;LIU Jia(China Railway Construction Electrification Bureau Group Co.Ltd.,Beijing 100043,China;China Railway Construction Real Estate Group Co.Ltd.,Beijing 100855,China)
出处
《铁道建筑技术》
2022年第3期7-11,21,共6页
Railway Construction Technology
基金
中国铁建股份有限公司科技研发计划项目(2019-B12)。
关键词
机电设备
人工智能
设备监控
故障诊断
运维系统
mechanical and electrical equipment
artificial intelligence
equipment monitoring
fault diagnosis
operation and maintenance system