The invention discloses a multi-
sensor fusion meteorological data comprehensive analysis platform, and relates to the technical field of meteorological monitoring. The platform comprises a three-level sensing layer, a dynamic collaborative architecture and a meteorological
data analysis layer. The third-level sensing layer works cooperatively through a ground total-factor meteorological
station, an unmanned aerial vehicle cluster and a FY-4
satellite and is integrated with a bimodal ultrasonic
wind measurement sensor, a miniature meteorological sounding cabin and an HRIT / LRIT data receiving module, so that multi-dimensional
data acquisition from the ground to a 5km high altitude is realized; the dynamic collaborative architecture is based on an
edge computing node and a cloud fusion module, adopts a lightweight LSTM (
Long Short Term Memory) model to detect abnormity in real time, and dynamically optimizes the weight of multi-
source data through Kalman filtering; and the meteorological
data analysis layer is combined with the element
coincidence index, the layering
stability index and the
risk assessment model to generate a graded early warning
signal. According to the scheme, the problems of vertical data fault, low multi-
source data fusion efficiency, early warning
lag and the like in the traditional technology are solved, and the severe convective
weather prediction precision is remarkably improved.