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作 者:孙瑞 谢智多 樊丽萍 SUN Rui;XIE Zhiduo;FAN Liping
出 处:《铁道通信信号》2023年第5期77-81,共5页Railway Signalling & Communication
基 金:中国铁道科学研究院集团有限公司重点课题(2021YJ104)。
摘 要:针对当前道岔转换设备监测手段单一,既有监测检测方式无法满足复杂环境下智能高效运维需求的现状,设计了一种基于磁栅尺测量的道岔工况监测系统。对道岔关键机械部件的动作全程进行在线监测,并通过大数据、机器学习等技术,对道岔工电结合部常见病害进行诊断及预警,为工电一体化综合分析及整治提供数据支撑。In view of the current switch equipment monitoring methods is single,and the existing monitoring and detection methods cannot meet the requirements of intelligent and efficient operation and maintenance of equipment in complex environments,a switch working condition monitoring system based on magnetic grid ruler is designed.It monitors the whole process of the key mechanical parts of the turnout,in addition,the big data,machine learning and other technologies are used to diagnose and warn the common diseases of the turnout junction,so as to provide data support for the integrated analysis and regulation of the combination of track and communication&signaling.
分 类 号:U284[交通运输工程—交通信息工程及控制]
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