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Key technologies for wireless network digital twin towards smart railways

High-Speed Railway 2024年第1期2卷 1-10页

作者： Ke Guan Xinghai Guo Danping He Philipp Svoboda Marion Berbineau Stephen Wang Bo Ai Zhangdui Zhong Markus Rupp State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Christian Doppler Laboratory for Digital Twin Assisted AI for Sustainable Radio Access Networks Institute of TelecommunicationsTU WienVienna 1040Austria UniversitéGustave Eiffel COSYSLEOSTVilleneuve d′Ascq 59650France VIAVI Marconi Labs VIAVI SolutionsStevenage SG12ANUK Institute of Telecommunications TU WienVienna 1040Austria

An emerging railway technology called smart railway promises to deliver higher transportation efficiency,enhanced comfort in services,and greater *** smart railway is expected to integrate fifth-generation mobile communication(5G),Artificial Intelligence(AI),and other technologies,which poses new problems in the construction,operation and maintenance of railway wireless *** Digital Twins(DTs),which have recently emerged as a new paradigm for the design of wireless networks,can address these problems and enable the whole lifecycle management of railway wireless ***,there are still many scientific issues and challenges for railway-oriented wireless *** key technologies to solve these problems are introduced and described,including characterization of materials'physical-EM properties,autonomous reconstruction of Three-dimensional(3D)environment model,AI-empowered environmental cognition,Ray-Tracing(RT),model-based and AIbased RT acceleration,and generation of multi-spectra sensing ***,this paper presents our research results for each key technology and describes the wireless network planning and optimization system based on highperformance RT developed by our *** paper outlines the framework for realizing the wireless DT of smart railways,providing the direction for future research.

关键词： Digital twin smart railways Ray tracing Channel characterization

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Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis

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Railway Engineering Science 2022年第1期30卷 71-95页

作者： Vitor A.Morais Antonio P.Martins Department of Electrical and Computer Engineering Faculty of EngineeringUniversity of PortoPorto 4200465Portugal

The high dynamic power requirements present in modern railway transportation systems raise research challenges for an optimal operation of railway electrification. This paper presents a Monte Carlo analysis on the application of a power transfer device installed in the neutral zone and exchanging active power between two sections. The main analyzed parameters are the active power balance in the two neighbor traction power substations and the system power losses. A simulation framework is presented to comprise the desired analysis and a universe of randomly distributed scenarios are tested to evaluate the effectiveness of the power transfer device system. The results show that the density of trains and the relative branch length of a traction power substation should be considered in the evaluation phase of the best place to install a power transfer device, towards the reduction of the operational power losses, while maintaining the two substations balanced in terms of active power.

关键词： Electric traction systems Monte Carlo analysis Power transfer device Power quality Railway power systems smart railways

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