Rainfall prediction method and system based on artificial intelligence algorithm and knowledge graph

Abstract

The invention discloses a rainfall prediction method and system based on an artificial intelligence algorithm and a knowledge graph, and belongs to the technical field of weather forecast, and the method comprises the following steps: constructing a multi-modal data container, inputting different types of meteorological data into the multi-modal data container according to the structural characteristics of the data, and obtaining multi-modal data; performing space-time alignment, data cleaning and preprocessing and data sequence segmentation on the multi-modal data; constructing a knowledge graph about rainfall prediction; and creating a multi-modal rainfall prediction model based on an artificial intelligence algorithm, and carrying out intelligent correction on predicted rainfall data. According to the method, different types of multi-modal meteorological data are fully utilized, the rainfall prediction precision is improved through the multi-modal rainfall prediction method, a rainfall prediction knowledge graph is constructed, a model prediction result can be intelligently corrected, the uncertainty of an artificial intelligence algorithm is reduced, and the rainfall prediction accuracy is improved. And the accuracy and reliability of model prediction are improved.

Description

technical field [0001] The invention belongs to the technical field of weather forecasting, and in particular relates to a precipitation forecasting method and system based on an artificial intelligence algorithm and a knowledge map. Background technique [0002] In recent years, precipitation around the world has increased significantly. Precipitation prediction plays an important role in urban traffic, agricultural systems, and even in water resources planning and flood prevention and early warning. At present, the use of meteorological big data to realize the prediction of impending precipitation is a hot spot and difficulty in disaster prevention and mitigation in China, and it has important value and social significance for the prediction of impending precipitation with high spatial and temporal resolution. [0003] From the perspective of the entire development of precipitation prediction, at the beginning, meteorologists mainly used the method of weather maps. This me...

AI Technical Summary

Problems solved by technology

But at the same time, artificial intelligence algorithms have certain uncertainties, and may have certain errors in the prediction of some rare scenarios

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