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作 者:扈海军 HU Haijun(Locomotive&Car Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Zongheng Electro-Mechanical Technology Co.,Ltd.,Beijing 100094,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
出 处:《铁道机车车辆》2024年第1期100-107,共8页Railway Locomotive & Car
基 金:中国国家铁路集团有限公司科技研究开发计划课题(K2019J018)。
摘 要:随着动车组的数据传输能力升级改造以及复兴号智能型动车组的上线运营,动车组监测项点数据快速扩充,如何高效、准确地对动车组的海量车载非实时数据进行存储、检索与查询,成为提升动车组车载数据管理和应用水平面临的一个挑战。文中提出一种基于分布式技术的海量非实时数据地面系统架构,将各动车运用所的数据服务站点作为子节点,全路数据服务中心作为主节点,对具备时空属性的海量数据快速检索算法进行了研究,构建了一种支持分布式数据存储、检索及数据分析的架构,开发了原型系统,验证了解决方案的可行性和有效性。With the upgrade of the data transmission capability of the EMU and the online operation of the Fuxing intelligent EMU,the data of the EMU monitoring items is rapidly expanding.How to store,retrieve and query the massive on-board non-real-time data of trains efficiently and accurately becomes a challenge to improve the on-board data management and application level of trains.In this paper,a massive non-real-time data ground system architecture based on distributed technology is proposed.The data service sites of each motor vehicle operation station are used as sub-nodes,and the China Railway data service center is used as the master node.The rapid retrieval algorithm of massive data with space-time attributes is studied.An architecture which supports distributed data storage,retrieval and data analysis is build,a prototype system was developed and the feasibility and effectiveness of the solution are verified in this paper.
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