Strong wind is one of the main meteorological factors affecting the safety of high-speed rail. High speed railway is sensitive to local instantaneous wind speeds， and study the characteristics of the wind environment along the line to reveal the characteristics of wind speed changes， providing theoretical support for the prediction and early warning of strong winds along the line. Select the wind speed monitoring data of four typical regional meteorological stations in Jiangsu section of the Beijing-Shanghai high-speed railway， and use statistical methods and nonlinear system theory to study wind characteristics at different time intervals. The study revealed the variation pattern of wind field characteristics along the line， and the results showed that the fluctuation amplitude of fluctuating wind speed increases intermittently at any time interval， with intermittency occurring at a time interval of 5 minutes. There is a positive correlation between the intensity of pulsation and the average wind speed， and this relationship becomes increasingly evident as the distance increases. The gust factor and turbulence intensity have obvious local differences， both of which decrease with the increase of the average wind speed， and approximately present a law of power function attenuation. There are small differences in the probability distribution characteristics of wind speed at different time intervals， and the local differences are significant. The maximum Lyapunov exponents of wind speeds at different time intervals are all positive and predictable， and the predictability decreases with the increase of distance. When carrying out wind speed prediction modeling along the line， selecting wind speeds with time intervals of 20 s， 30 s， 1 min， 2 min， 5 min， and 10 min can theoretically obtain more accurate prediction results.