[1]关则彬,杜雨蒙,柴金川,等.基于5G-R多网协同的数字环铁一体化平台数据归集方案研究[J].高速铁路技术,2025,16(06):104-110.[doi:10.12098/j.issn.1674-8247.2025.06.015]
　GUAN Zebin,DU Yumeng,CHAI Jinchuan,et al.On Data Aggregation of Digital Loop Railway Integrated Platform Based on 5G-R Multi-network Collaboration[J].HIGH SPEED RAILWAY TECHNOLOGY,2025,16(06):104-110.[doi:10.12098/j.issn.1674-8247.2025.06.015]
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基于5G-R多网协同的数字环铁一体化平台数据归集方案研究()

《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
16卷
期数:
2025年06期
页码:
104-110
栏目:
装备系统
出版日期:
2025-12-30

文章信息/Info

Title:
On Data Aggregation of Digital Loop Railway Integrated Platform Based on 5G-R Multi-network Collaboration
文章编号:
1674-8247(2025)06-0104-07
作者:
关则彬1; 杜雨蒙1; 柴金川1; 吴健2
(1.中国铁道科学研究院集团有限公司国家铁道试验中心, 北京 100015; 2. 北京中铁环行铁道技术有限公司, 北京 100015)
Author(s):
GUAN Zebin1;  DU Yumeng1;  CHAI Jinchuan1;  WU Jian2
(1. National Railway Track Test Center, China Academy of Railway Sciences Group Co., Ltd., Beijing 100015, China; 2. Beijing China Railway Circular Railway Technology Co., Ltd., Beijing 100015, China)
关键词:
数字环铁一体化平台;  数据归集;  多源异构数据;  5G-R;  多网协同
Keywords:
Digital Loop Railway Integrated Platform;  data aggregation;  multi-source heterogeneous data;  5G-R;  multi-network collaboration
分类号:
TP39; U2
DOI:
10.12098/j.issn.1674-8247.2025.06.015
文献标志码:
A
摘要:
本文提出数字环铁一体化平台数据归集方案,旨在解决国家铁道试验中心目前数据管理模式中存在的数据孤岛、一致性薄弱及智能化应用受限等问题。研究针对试验数据管理,设计了以“感知-传输-汇聚-应用”为逻辑的多层次归集架构。该架构通过前端感知设备实时采集数据,经由融合网络实现高效传输,在汇聚层进行标准化与时空整合,构建统一数据资源池,最终支撑上层智能分析与业务应用,从而提升试验数据的综合管理与利用能力。研究结果表明,系统在5G-R专网下实现超视距视频传输端到端时延,符合业务技术要求; TPDS监测数据传输成功率不低于99.95%; 网络异常时可在3 s内完成切换,数据丢失率低于0.1%,体现了良好的实时性、可靠性与鲁棒性。
Abstract:
This paper proposed a data aggregation scheme for the Digital Loop Railway Integrated Platform to address the current issues in the data management model of the National Railway Track Test Center, such as data silos, weak consistency, and limited intelligent application capabilities. Focusing on test data management, a multi-level aggregation architecture following the “Perception-Transmission-Convergence-Application” logic was designed. This architecture enables real-time data acquisition through front-end sensing devices, achieves efficient transmission via converged networks, performs standardization and spatiotemporal integration at the convergence layer, and establishes a unified data resource pool to ultimately support upper-layer intelligent analysis and business applications, thereby enhancing the comprehensive management and utilization capabilities of test data. The research results show that the system, under the 5G-R private network, achieves end-to-end latency for beyond-line-of-sight video transmission that meets the technical business requirements; the TPDS monitoring data transmission success rate is no less than 99.95%; and in the event of network anomalies, switching can be completed within 3 seconds with a data loss rate below 0.1%, demonstrating strong real-time performance, reliability, and robustness.

参考文献/References:

[1] 王万齐, 刘伟, 郭祥, 等. 铁路行业数字孪生研究综述[J]. 铁路技术创新, 2025(2): 1-11.
WANG Wanqi, LIU Wei, GUO Xiang, et al. Research Review of Digital Twin in Railway Industry[J]. Railway Technical Innovation, 2025(2): 1-11.
[2] SHI Yutong, WU Yanliang, HU Changhai, et al. A Miniaturized Wideband High-gain End-fire Antenna for 5G-R Communication Applications[J]. High-speed Railway, 2024, 2(4): 259-264.
[3] WEI Xiaoxuan, SHEN Liyin, DU Xiaoyun, et al. How Can Multi-source Heterogeneous Data Contribute to Assessing Urban Transportation Carrying Capacity[J]. Environmental Impact Assessment Review, 2024, 108: 107602.
[4] 李旭伟, 袁逸畅, 凌烈鹏, 等. 基于5G毫米波的高速动车组运行品质轨旁动态监测系统设备研制[J]. 铁道建筑, 2024, 64(3): 26-31.
LI Xuwei, YUAN Yichang, LING Liepeng, et al. Development of Trackside Dynamic Monitoring System Equipment for High Speed EMU Operation Quality Based on 5G Millimeter Wave[J]. Railway Engineering, 2024, 64(3): 26-31.
[5] 宁和平. 高速列车司机超视距监控预警系统应用研究[J]. 中国铁路, 2023(10): 122-127.
NING Heping. Research on Application of Over-the-horizon Monitoring and Warning System for High-speed Train Drivers[J]. China Railway, 2023(10): 122-127.
[6] 冯莎莎. 高速铁路建设企业科技创新体系建设的思考[J]. 高速铁路技术, 2023, 14(3): 11-15, 54.
FENG Shasha. Establishment of Science and Technology Innovation System in High-speed Railway Construction Enterprises[J]. High Speed Railway Technology, 2023, 14(3): 11-15, 54.
[7] 鲁耀峰, 任晓春. 基于北斗地基增强系统的既有铁路控制基准与位置服务应用研究[J]. 铁道勘察, 2025, 51(2): 6-12.
LU Yaofeng, REN Xiaochun. Algorithm Research on Establishment of Control Datum and Location Service Application for Existing Railway Based on BeiDou Ground-based Augmentation System[J]. Railway Investigation and Surveying, 2025, 51(2): 6-12.
[8] 郭悦, 王志华, 关则彬. 基于数字孪生的数字环铁总体设计与实现[J]. 铁路计算机应用, 2024, 33(6): 67-73.
GUO Yue, WANG Zhihua, GUAN Zebin. Overall Design and Implementation of a Digital Circular Railway Test Base Based on Digital Twins[J]. Railway Computer Application, 2024, 33(6): 67-73.
[9] “十四五”铁路科技创新规划[J]. 铁道技术监督, 2022, 50(1): 9-15, 20.
Railway Science and Technology Innovation Plan in the 14th Five-Year Plan[J]. Railway Quality Control, 2022, 50(1): 9-15, 20.
[10] 卢文龙, 王万齐, 王都, 等. 数字环铁试验基地的思考与设计[J]. 中国铁路, 2022(2): 126-134.
LU Wenlong, WANG Wanqi, WANG Du, et al. Thoughts and Design of Digital Loop Railway Test Base[J]. China Railway, 2022(2): 126-134.
[11] 方宜, 卓建成, 杜梦飞. 数字孪生在轨道交通智能建造业中的应用发展[J]. 高速铁路技术, 2024, 15(1): 68-73, 78.
FANG Yi, ZHUO Jiancheng, DU Mengfei. Application and Development of Digital Twin in Intelligent Construction of Rail Transit[J]. High Speed Railway Technology, 2024, 15(1): 68-73, 78.
[12] 鲁玉龙, 沈海燕, 张俊尧, 等. 智能铁路新一代移动通信关键技术探索与展望[J]. 电信科学, 2023, 39(1): 30-41.
LU Yulong, SHEN Haiyan, ZHANG Junyao, et al. Exploration and Prospect of the Key Technologies of the New Generation Mobile Communication of Intelligent Railway[J]. Telecommunications Science, 2023, 39(1): 30-41.

备注/Memo

备注/Memo:
收稿日期:2025-07-04
作者简介:关则彬(1982-),男,高级工程师。
基金项目:中国铁道科学研究院集团有限公司科研开发基金项目(2024YJ215)
更新日期/Last Update: 2025-12-30