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王明哲. 铁路客站客运安全保障体系研究[J]. 铁路计算机应用, 2024, 33(8): 1-5. DOI: 10.3969/j.issn.1005-8451.2024.08.01
引用本文: 王明哲. 铁路客站客运安全保障体系研究[J]. 铁路计算机应用, 2024, 33(8): 1-5. DOI: 10.3969/j.issn.1005-8451.2024.08.01
WANG Mingzhe. Passenger transport safety guarantee system of railway passenger station[J]. Railway Computer Application, 2024, 33(8): 1-5. DOI: 10.3969/j.issn.1005-8451.2024.08.01
Citation: WANG Mingzhe. Passenger transport safety guarantee system of railway passenger station[J]. Railway Computer Application, 2024, 33(8): 1-5. DOI: 10.3969/j.issn.1005-8451.2024.08.01

铁路客站客运安全保障体系研究

Passenger transport safety guarantee system of railway passenger station

  • 摘要: 在新时代背景下,铁路客运车站(简称:客站)作为重要的交通枢纽,铁路旅客发送量日益增加,其安全风险不断上升,安全治理面临着新的挑战和要求。为了强化铁路客站安全生产风险管控和应急保障能力,开展铁路客站客运安全保障体系研究;调研国内外安全理论和新技术应用现状,针对客站安全风险防护存在问题,分析客运风险主要因素,构建铁路客站客运安全保障体系;基于双重预防机制,从风险辨识、风险监测、风险评价等角度,提出客站风险防护方法;围绕风险感知、安全预警、状态评价、态势推演,研究客站安全保障关键技术。将智能化技术与铁路安全生产防护技术深度融合,进一步提升铁路客站运输安全保障和预警的能力。

     

    Abstract: In the context of the new era, the volume of railway passenger traffic is increasing day by day. Railway passenger stations, as important transportation hubs, face increasing safety risks and new challenges and requirements for safety governance. In order to strengthen the risk management and emergency support capabilities of railway passenger station safety production, this paper conducted research on the passenger transport safety guarantee system of railway passenger station, investigated the current status of safety theories and new technology applications at home and abroad, analyzed the main factors of passenger transport risks, and constructed a railway passenger transport safety guarantee system based on the existing problems in passenger station safety risk protection. Based on a dual prevention mechanism, the paper proposed risk prevention methods for passenger stations from the perspectives of risk identification, risk monitoring, and risk assessment, focused on the key technologies of passenger station safety assurance, including risk perception, safety warning, status evaluation, and situational inference, aimed to further enhance the ability of railway passenger station transportation safety assurance and early warning through the deep integration of intelligent technology and railway safety production protection.

     

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