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作 者:吴頔 张磊 赵红卫 WU Di;ZHANG Lei;ZHAO Hongwei(Locomotive&Car Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Zongheng Electro-Mechanical Technology Co.,Ltd.,Beijing 100094,China;State Key Labaratory for Traction and Control of EMU and Locomotives,Beijing 100081,China)
机构地区:[1]中国铁道科学研究院集团有限公司机车车辆研究所,北京100081 [2]北京纵横机电科技有限公司,北京100094 [3]动车组和机车牵引与控制国家重点实验室,北京100081
出 处:《铁道机车车辆》2025年第1期35-41,共7页Railway Locomotive & Car
基 金:中国铁道科学研究院集团有限公司重大课题(2020YJ075)。
摘 要:随着轨道交通技术的快速发展,车载设备的数量和感知采集点的数据量呈指数型增长。尽管这为监测列车运行状况提供了便利,但产生的大量数据给服务器端造成不可忽视的数据接收压力。为此,研究如何满足大量车载终端接入的同时快速处理车载终端上传的数据是至关重要的。结合列车网络远程数据的特点,采用Netty和Kafka等相关技术,构建了一套车地传输远程接收平台技术体系架构。试验结果表明车地传输远程接收平台满足数据高效处理并提升了稳定性和可靠性。With the rapid development of rail transportation technology,the number of onboard devices and the amount of data collected from sensing points have shown growth exponentially.While this provides convenience for monitoring train operations,it imposes significant data reception pressure on the server side.This study investigates methods for efficiently handling data uploaded by onboard terminals while accommodating a large number of terminal accesses.Combining the characteristics of remote train network data,a technical architecture for a vehicle-to-ground transmission remote receiving platform was developed using relevant technologies such as Netty and Kafka.Experimental results demonstrate that the vehicle-to-ground transmission remote reception platform fulfills efficient data processing,enhances stability and reliability.
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