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  • Research on Intelligent Sensing and Precise Positioning of Low-Altitude UAV for Railway Inspection
  • Cai Baigen, Li Zhiyu, Wang Jian, Liu Dan, Jiang Wei, Zhao Jiaqi, Wang Xiaoyang, Liu Jiang, Lu Debiao
  • 2025 Vol. 22 (1): 1-12. DOI:10.3969/j.issn.1673-4440.2025.01.001
  • Abstract ( ) PDF (2827KB)( )
  • As one of the typical scenarios of "low-altitude + rail", railway inspection uses low-altitude UAV (Unmanned Aerial Vehicle) based inspection to assist or replace manual inspection, which can reduce the cost of inspection and the accident rate of inspection personnel while improving inspection efficiency. First, the current situation of railway UAV inspection technology and application in China and other countries is investigated, and the corresponding problems, such as intelligent sensing of UAV in air-to-ground mode, precise positioning of UAV in high-density and short-interval scenarios and sensing and positioning coordination of UAV, are summarized. To solve the above problems, two key technologies of low-altitude UAV are researched to improve the comprehensive railway inspection performance of low-altitude UAV. One of these technologies is multi-modal intelligent sensing technology based on LiDAR and vision fusion, and the other one is multi-sensor precision positioning technology based on high-precision satellite navigation, inertial navigation, UWB (Ultra Wide Band) and 5G (5th Generation Mobile Communication Technology) fusion. Based on these two key technologies, a low-altitude railway UAV inspection scheme with collaborative intelligent sensing and precise positioning is designed, which can support the promotion and application of low-altitude UAV inspection in the railway field in the future
  • Prediction of Heavy-Haul Railway Freight Volume Considering Days of Track Possession for Construction Purposes
  • Zhou Jin, Liu Ziyang, Liu Yongzhuang, Ma Rui
  • 2025 Vol. 22 (1): 28-34,83. DOI:10.3969/j.issn.1673-4440.2025.01.004
  • Abstract ( ) PDF (2068KB)( )
  • Freight volume is one of the most important indicators for the daily management of heavy-haul railway transport. Using the big data analysis platform for heavy-haul railways, this paper addresses the issue of daily freight volume prediction in the freight transport production and dispatching activities of heavy-haul railways. Considering the impact of track possession for construction purposes on freight volume for different railway lines, it establishes a freight volume prediction model based on LSTM. Using the freight-volume prediction datasets established for a certain railway group company in the mining industry and its subsidiary companies, this paper also modifies the LSTM model by leveraging the information and characteristics of track possession for construction purposes. Through training and parameter adjustment, the proposed model achieves significant performance improvements compared with such models as ARIMA, original LSTM and GRU when tested on the real datasets. It can effectively address the challenges of large fluctuation and notable instability in daily freight volume data. After effectiveness verification, the proposed model is deployed in the comprehensive dispatching information system. It performs daily calculations and displays result updates based on additional data, thereby reducing the workload of freight statistics analysts.
  • Research on Construction Plan of Intelligent Training Rooms for Railway Signaling Systems
  • Ma Zhiqiang, Cui Gaoxing, Zhang Wenxing, Liu Lilong
  • 2025 Vol. 22 (1): 35-43. DOI:10.3969/j.issn.1673-4440.2025.01.005
  • Abstract ( ) PDF (6551KB)( )
  • In response to the problems of low training efficiency and incomplete records caused by manual wiring and welding, manual training record keeping and other operations often required in traditional operation training systems for signaling systems, a construction scheme of intelligent training rooms for railway signaling systems is proposed using such advanced technologies as computer simulation, VR virtual simulation, data mining and physical information fusion. The proposed scheme achieves functions ranging from closed-loop management of training plans, online supervision of training equipment, and intelligent evaluation of employee skills to training guidance in relation to comprehensive emergency drills and remote intelligent fault analysis for railway signals. It aligns signaling training more closely with on-site situation, and makes training management more informatized, intelligent and visualized. An "unmanned" comprehensive platform without the direct participation of management personnel is established, integrating training, practice and assessment. The intelligent training methods have enhanced the breadth and depth of learning for employees in the training rooms, with the support of a comprehensive management system for the training rooms, which uses the big data analysis technology to make personnel training more targeted.
  • Research on Key Issues of Train Control System for Urban Railways Supporting Integration of Four Networks
  • Zhang Youbing, Chen Zhiqiang, Wang Shuo, Zhang Jiaxing, Tian Huanhuan, Huang Rui
  • 2025 Vol. 22 (1): 105-113. DOI:10.3969/j.issn.1673-4440.2025.01.015
  • Abstract ( ) PDF (1519KB)( )
  • On the basis of in-depth analysis of the characteristics of urban railways, detailed research is conducted on such key issues as selection of train control standards, applicability of CTCS train control systems, compatibility modes between onboard and trackside equipment, and compatibility modes of onboard equipment. The research results indicate that, given the significant advantages of CTCS systems in network-level commanding, standard and specification completeness, and interoperability capability, CTCS is recommended as the main train control standard for urban railways. To achieve the integration of four networks and the cross-line operation of different signaling systems, future research work is needed for the development of train control systems compatible with CTCS and CBTC standards. In the short term, technical upgrades can be made on the basis of the CTCS-2+ATO train control system for high-speed railways, to build a train control system that meets the needs of urban railways. At the same time, development work for compatible onboard equipment is recommended, to achieve cross-line operation through adaptation of onboard equipment to trackside equipment. Moreover, development work for integrated onboard equipment that combines CTCS and CBTC standards is advocated, to simplify system structure and reduce equipment costs. This research provides strong support for the development of smart urban railways, and has great significance for improving railway transport safety and enhancing transport efficiency.
Railway Signalling & Communication Engineering
  • 月刊 Monthly
  • 第22卷 第3期 总第期
  • Vol.22 No.3 S.No.
  • 出版: 2025-03-21
  • Published on:
  • 创刊:2004 年
  • First Issue: 2004