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Research on Methods of Active Perception and Early Warning for High-Speed Railway Operating Environment Safety
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Tianyun SHI1, Pengyue GUO2, Hao HU2, Rui WANG2, Jiabin WANG3, Xiaobing DU4
China Railway Science | 2026, 47(2) : 210 - 220
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China Railway Science | 2026, 47(2): 210-220
Research on Methods of Active Perception and Early Warning for High-Speed Railway Operating Environment Safety
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Tianyun SHI1, Pengyue GUO2, Hao HU2, Rui WANG2, Jiabin WANG3, Xiaobing DU4
Affiliations
  • 1.China Railway Sichuan-Tibet Science and Technology Innovation Center (Chengdu) Corporation Limited, Beijing100081, China
  • 2.Institute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing100081, China
  • 3.School of Traffic & Transportation Engineering, Central South University, ChangshaHunan410075, China
  • 4.Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
Published: 2026-03-01 doi: 10.3969/j.issn.1001-4632.2026.02.18
Outline
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To further enhance the intelligent recognition, assessment, early warning, and active prevention and control capabilities of high-speed railways in responding to risks such as natural disasters, perimeter invasion/foreign object intrusion, and external environmental safety, a method for active perception and early warning of the operational environment safety of high-speed railways is proposed based on the concept of active control of high-speed railway operating environment safety. By analyzing the action mechanism and spatiotemporal evolution patterns of the main influencing factors on the operational environment safety of high-speed railways, the disturbance mechanisms of various risk sources on train operation are revealed. On this basis, a situational awareness method for the operating environment safety across full spatiotemporal scenarios is designed, covering refined forecasting of meteorological disasters, multi-modal fusion-based recognition of perimeter invasion/foreign object intrusion, and intelligent perception of external environmental hazards through air-space-ground collaboration. Corresponding intelligent assessment and early warning models are then constructed, and active control and emergency response strategies are formulated. The results show that the accuracy of refined gale situational awareness for wind speed forecasting reaches 93%. Compared with the existing similar intelligent methods, the transmission delay of alarm information from system generation to train's beyond-visual-range terminal display is reduced from 2.364 s to 1.651 s. This method can provide a systematic solution for engineering applications and demonstrate promising prospects for practical implementation.

Active perception  /  Assessment and early warning  /  Active control  /  Emergency response  /  High-speed railway operating environment safety
Tianyun SHI, Pengyue GUO, Hao HU, Rui WANG, Jiabin WANG, Xiaobing DU. Research on Methods of Active Perception and Early Warning for High-Speed Railway Operating Environment Safety[J]. China Railway Science, 2026 , 47 (2) : 210 -220 . DOI: 10.3969/j.issn.1001-4632.2026.02.18
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Year 2026 volume 47 Issue 2
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Article Info
doi: 10.3969/j.issn.1001-4632.2026.02.18
  • Receive Date：2025-10-14
  • Online Date：2026-06-03
  • Published：2026-03-01
Article Data
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History
  • Received：2025-10-14
  • Revised：2026-03-13
Affiliations
    1.China Railway Sichuan-Tibet Science and Technology Innovation Center (Chengdu) Corporation Limited, Beijing100081, China
    2.Institute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing100081, China
    3.School of Traffic & Transportation Engineering, Central South University, ChangshaHunan410075, China
    4.Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
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