摘要
车载弓网监测是轨道交通安全运营的重要保障。大数据是国家重要的战略资源,在轨道交通有着广泛的应用。结合大数据技术,设计并实现了基于大数据的车载弓网监测系统。系统架构由数据收集层、大数据处理层和应用层组成。利用大数据技术,完成了数据分析、状态监测、故障报表、趋势预测等核心功能,实现了车载弓网的动态监测。研究成果有助于提升轨道交通的运营水平和服务质量,优化轨道交通的规划和管理。
Vehicle pantograph monitoring is an important guarantee for the safe operation of rail transit. Big data is an important strategic resource of the country, and is widely used in rail transit. Combined with big data technology, a pantograph catenary monitoring system based on big data is designed and implemented. The system architecture consists of data collection layer, big data processing layer and application layer. With the help of big data technology, the core functions of data analysis, condition monitoring, failure reporting and trend prediction are completed, and the dynamic monitoring of vehicle pantograph is realized. The research results will help improve the operation level and service quality of rail transit and optimize the planning and management of rail transit.
作者
赵铁柱
董辉
林玉文
袁华强
ZHAO Tiezhu;DONG Hui;LIN Yuwen;YUAN Huaqiang(School of Computer Science and Technology,Dongguan University of Technology,Dongguan 523808,China;Dongguan Nannar Electronics Technology Co.,Ltd.,Dongguan 523050,China)
出处
《东莞理工学院学报》
2019年第3期33-38,共6页
Journal of Dongguan University of Technology
基金
2018年东莞市社会科技发展(重点)项目(20185071401606)
2017年广东省省级工业与信息化发展专项资金(支持大数据示范应用)项目(面向地铁车辆运维的大数据应用与云平台)
国家自然科学基金资助项目(61402106)
关键词
轨道交通
车载弓网
大数据
在线监测
rail transit
vehicle pantograph
data mining
online monitoring