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作 者:吕龙 李海龙 刘晓磊 LYU Long;LI Hailong;LIU Xiaolei(CRRC Changchun Railway Vehicles Co.,Ltd.,Changchun 130062 Jilin,China)
机构地区:[1]中车长春轨道客车股份有限公司,长春130062
出 处:《铁道机车车辆》2023年第3期102-106,共5页Railway Locomotive & Car
摘 要:随着云计算、大数据、物联网、5G、北斗导航等新技术的不断融合,以数据为基础驱动的高速列车智能化正在持续发展。在高速列车智能化应用场景中,多业务数据要求不同的传输速率、通信周期并且占用不同的流量带宽,关键业务数据采用TRDP协议进行传输。然而由于列车以太网基于CSMA/CD通信机制,多业务数据增加了通信延时抖动甚至数据阻塞的风险,因此研究TRDP数据解析对数据可靠传输至关重要。文中介绍了TRDP实时协议,提出了一种通过Wireshark和Python软件进行数据解析的方法,可方便直观地分析TRDP报文健康完整性、通信周期延时抖动以及以太网流量等关键性能指标,为以太网工程应用提供了参考。With the continuous integration of cloud computing,big data,the Internet of Things,5G,Beidou navigation and other new technologies,the intelligence of high-speed train on the basis of data-driven is sustainable development.In the intelligent application scenario of high-speed train,multi-service data requires different transmission rates,communication cycles and occupies different traffic bandwidth,and key service data is transmitted using TRDP protocol.However,because Ethernet of train is based on CSMA/CD,multi-service data increases the risk of communication delay jitter and even data blocking.Therefore,the research on TRDP data analysis is crucial to reliable data transmission.Train Real-time Data Protocol(TRDP)was introduced.And based on this,a method of data analysis via Wireshark and Python was proposed.In this way,the key performance indicator of TRDP message health integrity,communication cycle delay jitter and Ethernet traffic can be analyzed conveniently and intuitively.And that provide the reference for the engineering application of Ethernet.
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