A method for intelligently traverse large step length prediction of maximum wind speed along a high-speed railway line According to the recent wind speed situation, the wind speed prediction model ofeach wind measuring station is constructed by constructing the target wind measuring station and the time-lapse wind measuring station at the target wind measuring point, denoising the data of the wind measuring station, training the denoised wind speed data by using PID neural network, and constructing the wind speed prediction model of each wind measuring station under various step sizes. Choosing each model to carry on the best combination of many kinds of steps, realizes the multi-step iterative forecast, improves the forecast precision, reduces the random error disturbance; The wind speedprediction along the railway line can be realized, and the wind speed environment in the accident-prone area can be known in advance, which can guide the train operation timely and effectively, and ensure the safety of train operation.