The invention relates to a
system and a method for large-range synchronous real-time meteorological data measurement and
wind speed and direction prediction. The
system consists of a high-precision acquisition terminal, a
wireless transmission device and a
data center. A large-range synchronous real-time meteorological
data acquisition, analysis and
prediction system consisting of a
data center, a plurality of
data acquisition terminals and
wireless transmission systems can be established by using the
system and the method. According to the system and the method, a BP (Back Propagation)
nerve network model is utilized,
wind speed and
wind direction of a target node within 5 minutes can be predicted according to present meteorological data of all points of the system; in order to improve the prediction accuracy, the prediction model consists of eight prediction models, that is,
daytime in spring, night in spring,
daytime in summer, night in summer,
daytime in autumn, night in autumn, daytime in winter and night in winter, each model is acquired through a great amount of data samples through
nerve network training and learning, and moreover in the application process, the prediction model is continuously improved according to errors between actual measurement data and prediction data.