基于人工智能的冰雹天气识别方法研究

A Hail Weather Recognition Method based on Artificial Intelligence

冰雹天气是强对流天气系统产生的一种强天气现象,具有历时短、局地性强、破坏力大等特点,是主要的灾害性天气之一,因此对冰雹天气的识别一直是气象领域一个重要的研究课题。提出一种基于人工智能的冰雹天气识别方法,通过使用Faster R-CNN深度学习对冰雹天气区域进行识别,在测试集上的识别率和准确率分别达到87%和97%。通过理论分析,结合实际降雹情况及与传统冰雹天气识别方法对比验证的方式,验证了识别结果的准确性及可靠性。实验结果对冰雹天气这种灾害性天气的识别与预警具有重要的参考意义。

Hail weather is a strong weather phenomenon produced by the system of severe convective weather,which has the characteristics of short duration,strong locality and great destructive power.Therefore,the detection of hail weather has always been a significant research topic in the meteorological field.This paper presents a hail weather recognition method based on artificial intelligence.In this method,the Faster R-CNN deep learning is applied to detect hail,and accuracy and precision on the test set are 87% and 97% respectively.The reliability and accuracy of the method are verified by adopting theoretical analysis and comparing with the actual situation and the traditional hail weather identification algorithm.The experimental results have significant reference for the identification and early warning of hail weather.