Prediction Method of Tunnel Natural Wind Based on Open-Source Meteorological Parameters

The rational use of natural wind in extra-long tunnels for feedforward operation ventilation control can dramatically reduce tunnel costs. However, traditional calculation theory lacks a prediction function. This paper proposes three-stage method relying on the Yanglin Tunnel Yunnan, China based massive meteorological parameters provided by open-source national stations around tunnel, which make up partial deficiency portal. multi-layer perceptron model (MLP) was used to predict real-time portal using data from four stations. nonlinear autoregressive network (NARX) next period predicted and measured data. speed obtained theoretical parameters. final results are good agreement with field data, indicates that research this play guiding role regulation fans.