摘要
针对既有监测技术存在的问题,研究构建“全域感知-智能诊断-精准定位”的铁路客站低压电力回路监测体系。通过在铁路客站低压配电系统的关键节点部署智能传感器,采用“有线+无线”异构网络传输数据,运用多源数据融合、动态拓扑建模等技术实现异常报警与故障定位。经测试,采用该技术故障定位准确,可显著提升运维效率及供电可靠性,推动铁路供电系统向“预防性维护+预测性维修”模式转变。
With regard to the problems occurred in existing monitoring technologies,a low-voltage power circuit monitoring system of"global perception intelligent diagnosis precise positioning"for the railway passenger station are constructed through studies.By deploying intelligent sensors at key nodes of the low-voltage distribution system in railway passenger stations,using a"wired+wireless"heterogeneous network to transmit data,and utilizing technologies such as multi-source data fusion and dynamic topology modeling to achieve abnormal alarm and fault location.After testing,the use of this technology for accurate fault location can significantly improve operation and maintenance efficiency and power supply reliability,and promote the transformation of railway power supply system to a"preventive maintenance+predictive maintenance"mode.
出处
《电气化铁道》
2025年第S1期63-67,共5页
Electric Railway
关键词
低压配电
电力监测
故障定位
智能传感
动态拓扑建模
多源数据融合
low-voltage power distribution
electric power monitoring
fault location
intelligent sensing
dynamic topology modeling
multi-source data fusion
