Captive balloon wind speed prediction method and system

The invention discloses a captive balloon wind speed prediction method and system. According to the invention, training is carried out through the LSTM model to construct the relationship between the measurement data acquired by the captive balloon wind measurement device and the wind speed measured by the anemometer, and the wind speed prediction result can be obtained only by inputting the measurement data acquired by the captive balloon wind measurement device into the trained LSTM model in the measurement process without building a measurement environment of the anemometer. According to the method, the LSTM model does not need to be constructed, a mechanical model and a mechanical balance model do not need to be constructed, and data noise reduction is performed in combination with the WTD algorithm, so that the LSTM model has relatively high anti-noise capability, and the prediction result of the LSTM model has relatively high prediction precision. According to the invention, the precision of wind speed