The progress of mobile communication technology drives industrial changes in all walks of life.The carrying capacity of the existing railway mobile communication system is increasingly difficult to meet the rapid growth of modern railway networks even after decades of development.Based on the requirements of intelligent railway applications for mobile communication bandwidth, delay, coverage and other challenges faced by the new generation of mobile communication, the critical technologies of new-generation mobile communication were focused on, such as the new generation of communication spectrum technology, channel coding technology, and multi-functional integrated radio frequency technology.Additionally, an “air-space-vehicle-ground integration” network aiming at seamless collaborative interaction of information among “vehicle-ground, vehicle-vehicle, and vehicle-person” was constructed.Furthermore, the application of communication-navigation integration, and communication-computing- storage integration were studied and prospected in intelligent railways.It will play a vital role in improving the service capability and efficiency of railway mobile communication and enable the development of China’s railway intelligence.

高速综合检测车作为高铁日常检测和联调联试最重要的移动检测设备之一,缺乏高效信息融合集成及现场决策指挥的管理手段.结合日常检测与联调联试特点,提出高速综合检测车多源信息融合集成平台的建设目标,并对平台的总体架构、功能、界面、硬件架构进行设计.分析信息融合与信息集成的联系,阐明多源信息融合技术在高速综合检测车的实现过程.开展BIM信息融合、GIS信息融合、基础设施设备融合、多图协同联动、高体量BIM模型动态加载、跨平台互联互通及信息共享、多维可视化等关键技术研究及创新应用.高速综合检测车多源信息融合集成平台基于"一张屏+M张图"实现多维信息集成共享、多专业数据融合分析、一体化决策及可视化展示,提升多方协同沟通效率,提高基础设施智能化管理水平,为高速铁路运营安全评估和养护维修指导提供技术支撑.

针对高速铁路基础设施动态检测多专业检测系统独立运行、数据融合共享性不强、数据整合展示能力不足等问题,以高速综合检测列车为载体,提出了基于GIS(Geographic Information System,地理信息系统)、BIM(Building Information Modeling,建筑信息模型)+GIS、设备综合图的多专业检测信息融合思路,设计并研发了高速铁路基础设施动态检测信息融合平台,重点介绍了GIS多源信息融合系统、BIM+GIS多源信息融合系统、设备综合信息融合系统的功能实现,在国家铁道试验中心及京张高铁进行了试验验证.结果表明,该平台可实现高速铁路基础设施多源检测信息集成共享、多专业数据融合分析、多设备状态实时监测、多维度信息综合展示的目标,提升一体化决策及协同管理效率.

Real time and accurate grasp of the health of traction transformer is one of the effective means to avoid large-scale railway powe failure. In order to better diagnose the fault of high-speed railway traction transformer equipment, combined with the actual railway maintenance operation, a transformer fault diagnosis model based on random forest is proposed, and the fault diagnosis process is optimizer by sparrow search algorithm. Firstly, the fault characteristics of high-speed railway transformer are extracted and data preprocessed, there the random forest model is used to accurately evaluate the transformer fault state, and the sparrow search algorithm is used to optimize the parameters of the random forest model, so as to ensure the optimal SSA-RF model for fault diagnosis. The example shows that the RF mode has higher diagnostic accuracy, and the diagnostic accuracy of the RF model optimized by SSA is further improved. It has certain practica application value.

The traditional commissioning and testing each system chimney construction, information can't be shared, single point strong and overall weak, lack of professional, professional and external environment between the correlation analysis and centralized fusion of intuitive display. Through the research on key technologies such as multi-source information fusion, cross-platform information interconnection, data sharing, space-time synchronization, multi-graph collaborative linkage, and integrated display, the ‘multi-source information fusion integration platform’ was designed and developed. The application of Beijing-Zhangjiakou and other lines shows that the platform realizes the integration of information fusion among organizations (horizontal), specialties (vertical) and data (end-to-end), and improves the overall judgment, abnormal alarm, collaborative command and scientific decision-making level of testing and commissioning.

Integration test is an important security guarantee for high-speed railway operation. Aiming at the problem of chimney construction of more than 20 professional systems, which are scattered and lack of linkage, key technologies such as BIM+GIS multi-source heterogeneous data fusion, dynamic loading and rendering and lightweight model are put forward, and the virtual-reality mapping and interaction in physical railway and virtual twin railway scenes are realized based on "One Screen, One Picture" in BIM+GIS vehicle-mounted integration platform. The platform further explores the data value, and provides reference and guidance for lossless transmission of full life circle data of multi-professional and multi-participant railway based on BIM+GIS model, collaborative linkage, visual expression, immersive experience and intelligent decision-making, and further improves the intelligent management level of overall research and judgment of integration test, collaborative command and scientific decision-making and promotes the development of intelligent joint debugging.

According to the characteristics of communication blind area along the railway line and the surroundings, based on the requirements for real-time and rapid safety management and emergency rescue of trains and front-line building, construction, joint-testing and operation personnel in case of high-risk operation and far transmission, a UWB(ultra-wide band) wireless sensor network positioning technology is proposed to meet the needs of people and vehicle positioning by comparing and analyzing several positioning technologies suitable for the closed area in tunnels (indoor) in this paper. In addition, the grid-based station deployment strategy and the optimized deployment model based on grid points are studied, and the genetic algorithm is applied to station deployment optimization. The simulation and experiment results show that this strategy has the advantages of wide coverage, high coverage rate, high positioning accuracy, high reliability and so on, and has been applied effectively in the optimization of personnel positioning station deployment in a tunnel of Jinan-Laiwu high Speed Railway.

高铁联调联试广泛应用了物联网、传感监测等技术,对高铁各系统的性能、状态及系统间适配关系等数据进行采集,初步实现了联调联试数据采集的网络化,但在数据采集的点位密度、频率和时效上仍有较大的发展空间.为了提升高铁联调联试整体技术水平和科研能力,通过研究边缘计算和NB-IoT无线传感技术在高铁联调联试中的关键技术,并在京沈客运专线辽宁段和京张高铁联调联试中进行设计及模拟验证应用,有利于开展面向边缘侧、万物互联的联调联试监测检测体系研究,为高铁联调联试集约化、智能化的发展提供技术支撑.

分析基于云计算架构的铁路工程管理平台的应用现状及面临的问题,基于边缘计算策略,提出智慧铁路工地生产管理系统的架构设计,并结合混凝土拌和站生产管理、铁路工地视频监控、隧道工程围岩变形监测3类场景开展应用探索,为智慧铁路工地的生产自动化、现场实时监控、数据优化、智能分析等应用提供更佳解决方案.