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作 者:吕阶军 贺宏军 蒋聪健 LYU Jiejun;HE Hongjun;JIANG Congjian(CRRC Zhuzhuou Locomotive Co.,Ltd.,Zhuzhou,Hunan 412001,China;TBEA Hengyang Transformer Co.,Ltd.,Hengyang,Hunan 421000,China)
机构地区:[1]中车株洲电力机车有限公司,湖南株洲412001 [2]特变电工衡阳变压器有限公司,湖南衡阳421000
出 处:《机车电传动》2021年第4期105-111,共7页Electric Drive for Locomotives
摘 要:提高弓网系统服役在线检测水平并评估其服役状态,已成为重载机车智能运维建设中弓网系统检测运维需解决的关键性问题。在介绍现役弓网系统检测现状的基础上,分析总结了弓网系统检测需求、检测对象和面临的技术挑战,通过弓网检测系统集成研究并综合运用车载网络、物联网、云计算、图像识别和机器视觉算法等技术,提出并建立了一种适应重载机车并包含接触网状态巡检、受电弓动态运行参数检测和弓网动态相互作用关系检测功能的车载弓网检测系统。试验表明,该系统可实现弓网系统在线检测、故障诊断、智能预测、应急处理和受电弓健康管理,提升弓网系统在线检测评估效果,保障线路牵引供电安全可靠。Improving the on-line detection level of pantograph-catenary system and evaluating its service status has become a key problem to be solved in the construction of intelligent operation and maintenance of heavy-haul locomotive. Based on the introduction of the current situation of pantograph catenary system detection in service, the detection requirements, detection objects and technical challenges of pantograph catenary system were analyzed and summarized. Through the integrated research of pantograph catenary detection system and the comprehensive application of vehicle network, internet of things, cloud computing, image recognition and machine vision algorithm, an on-board pantograph catenary detection system suitable for heavy-duty locomotive with the functions of catenary state inspection, pantograph dynamic operation parameter detection and pantograph catenary dynamic interaction relationship detection was proposed. The test showed that the systems can realize on-line detection, fault diagnosis, intelligent prediction, emergency treatment and pantograph health management of pantograph-catenary system, improve the online detection and evaluation effect of pantograph-catenary system, and ensure the safety and reliability of line traction power supply.
关 键 词:重载铁路 智能运维 弓网系统 检测 集成研究 健康管理 故障诊断
分 类 号:U226.51[交通运输工程—道路与铁道工程]
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