Operation safety and efficiency of high-speed trains are prone to strong winds. This study proposes a wind hazard warning system to predict wind speed and provide warning for safe and efficient operation of trains, and shows the implementation to the Lanzhou-Xinjiang High-Speed Railway. The system is composed of monitoring, remote and central processing, and execution modules. The system uses field monitoring data to predict wind speed and analyze responses of trains. Wind speed is predicted through integrating three models based on artificial neural networks and the predictions are incorporated into operation control for high speed trains under wind load. The results show that the proposed predictive model is capable of predicting wind speed, and the system is capable of providing reasonable warning for high-speed trains. It is anticipated that the system will improve the operation and management of high-speed trains for high safety and efficiency.

高速列车的运行安全和效率容易受到强风的影响。本研究提出了一种风灾预警系统来预测风速，为列车安全高效运行提供预警，并在兰新高铁上展示了该系统的实施情况。该系统由监控、远程和中央处理、执行模块组成。该系统使用现场监测数据来预测风速并分析列车的响应。通过集成三个基于人工神经网络的模型进行风速预测，并将预测结果纳入风载高速列车运行控制中。结果表明，所提出的预测模型能够预测风速，系统能够为高速列车提供合理的预警。