Sea fog prediction method and device based on neural network, equipment and storage medium

Abstract

The invention is suitable for the technical field of sea fog forecasting, and provides a sea fog forecasting method, device and equipment based on a neural network and a storage medium, and the method comprises the steps: collecting ground and high-altitude live observation data sets in a forecasting region, carrying out the preprocessing of the live observation data sets, and obtaining a sea fog forecasting result according to the preprocessed live observation data sets; and the sea fog in the future preset time in the forecast area is predicted by using the pre-trained sea fog prediction model, so that the accuracy and timeliness of sea fog prediction are improved.

Description

Sea fog prediction method, device, equipment and storage medium based on neural network technical field The invention belongs to the sea fog forecasting technical field, relate in particular to the sea fog forecasting method, device, device based on neural network. equipment and storage media. Background technique Sea fog is a phenomenon that occurs at sea or in coastal areas. When sea fog occurs, the level of sea level visibility is relatively This will seriously affect the production and life of coastal people and the safety of offshore operations. At present, the intelligent short-term forecast of sea fog There are relatively few studies, and due to the numerous influencing factors of sea fog, the formation mechanism is complex, and it is difficult to establish a numerical prediction model. With the increasingly abundant and huge meteorological data, coupled with changes in the climate environment, extreme weather is becoming more and more frequent, traditional ...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a neural network-based sea fog prediction method, aiming to solve the problems of low accuracy and poor timeliness in sea fog prediction in the prior art

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