摘要
基于复合事件多源异构数据的实时主动处理技术研究,探讨了轨道交通供电智能运维的多源异构数据和复合事件的关联关系,设计开发了技术处理框架与感知数据智能网关软件程序。通过逻辑处理和时序处理,实现了从多维度定量表述设备的健康状态。在此基础上,通过试点站实例应用发现,基于复合事件多源异构数据的实时主动处理技术方法实用可靠,可以有效实现供电设备状态、环境参数的全覆盖。该技术通过感知预警和动态监测,提高了问题发现和故障处置效率,有效提升了轨道交通供电系统的安全冗余度。
Real-time active processing technology based on compound event multi-source heterogeneous data,the correlation between multi-source heterogeneous data and compound event in rail transit power supply smart operation and maintenance is discussed.The technical processing framework and a perceptive data intelligent gateway software program are designed and developed.The health status of equipment can be quantitatively expressed in multiple dimensions through logical and sequential processing.On this basis,through pilot station application,real-time active processing technology in compound event multi-source heterogeneous data is found to be practical and reliable,and it could effectively achieve the full coverage in the status and environmental parameters of power supply equipment.Through perceptual early warning and dynamic monitoring,the efficiency of problem discovery and fault handling is improved,and the safety redundancy of rail transit power supply system is effectively improved.
作者
何小兵
陈学锋
陈俊
周朝辉
HE Xiaobing;CHEN Xuefeng;CHEN Jun;ZHOU Chaohui(No.1 Operation Branch of Suzhou Rail Transit Group Co.,Ltd.,215100,Suzhou,China;不详)
出处
《城市轨道交通研究》
北大核心
2022年第9期16-22,共7页
Urban Mass Transit
关键词
城市轨道交通
供电系统
智能运维
多源异构数据
urban rail transit
power supply system
intelligent operation and maintenance
multi-source heterogeneous data
