The invention discloses a
flood flow prediction method and device, equipment and a storage medium. Comprising the following steps: acquiring historical
radar echo data and historical hydrological
time series data, and performing
dimensionality reduction decoupling on the historical
radar echo data to generate a low-dimensional
feature vector; training a flood prediction model in stages according to the low-dimensional feature vectors and historical hydrological
time series data; and acquiring real-
time data, and inputting the real-
time data into the flood prediction model for
flood flow prediction.
Radar echo data and hydrological
time series data are obtained at the same time,
radar data redundant information is removed through dimension reduction decoupling, the situation that high-dimensional radar information covers low-dimensional hydrological time
series data features is avoided, and high-quality and high-adaptability input data are provided for subsequent model training. By training the flood prediction model in stages, the model can learn a basic hydrological law and then gradually fuse radar features, the
modal weight is dynamically optimized, the problems of low model precision and non-convergence caused by scarcity of extreme rainfall samples are reduced, and the computing
power consumption is reduced.