Meteorological AI platform based on big data

Abstract

The invention provides a meteorological AI platform based on big data, which comprises a hardware layer, a system layer, a software interface layer and a meteorological service layer. The meteorological service layer comprises an intelligent client and an intelligent weather model; the intelligent weather model is used for analyzing a field sequence based on weather in a latest set time length ofa forecast area in the meteorological and geographic information data, inputting to a depth neural network model based on training, and obtaining a weather forecast field sequence of the forecast areawithin the forecast duration from the current moment; the field sequence analysis based on weather within the latest set time length is as follows: setting a field sequence analysis based on weatherwithin a time length from the current moment to the front; and the intelligent client is used for realizing data interaction between the weather AI platform and external intelligent equipment. The prediction result is more accurate, and the prediction result can be used as a reference basis for the forecast of a forecaster together with the result of the mode forecast, so that the forecaster can provide more accurate weather forecast.

Description

technical field [0001] The present invention relates to the technical field of weather analysis, and more specifically, to a weather AI platform based on big data. Background technique [0002] Weather changes are closely related to people's production activities, social activities, military activities and daily life. For a long time, people have always tried to predict future weather changes in order to take advantage of favorable weather and prevent meteorological disasters caused by unfavorable weather in advance. [0003] With the development of our country, people pay more and more attention to weather. Meteorology is closely related to our life. It is necessary to use various weather information in our daily life. At present, people usually obtain information about weather through some platforms. However, due to the huge amount of meteorological data, the existing platforms lead to centralized storage of big data. Due to the storage of large-scale meteorological data,...

AI Technical Summary

Problems solved by technology

[0003] With the development of our country, people pay more and more attention to weather. Meteorology is closely related to our life. It is necessary to use various weather information in our daily life. At present, people usually obtain information about weather through some platforms. However, due to the huge amount of meteorological data, the existing platforms lead to centralized storage of big data. Due to the storage of large-scale meteorological data, when users need to query the data, the query process of the data is very slow and wasteful. a lot of time

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