Grid-based lightning fall zone prediction method

• Main Authors: LI YUCHEN, WANG LYUHUA, LU MINGYUE, JIN CHUANWEI, MIN JINZHONG, WANG GUOJIE
• Format: Patent
• Language: Chinese; English
• Published: 04.10.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a grid-based lightning falling area prediction method, which comprises the following steps of: constructing a lightning grid image by taking point location data of lightning as a reference; constructing a lightning data set by using the lightning grid image; according to the lightning falling region model training and prediction based on deep learning, the grid-based lightning falling region approach prediction method autonomously learns the hidden space law in the data by combining the grid data of the lightning falling region with the deep learning method, and the problem of lightning falling region prediction can be further solved. On one hand, effective decision support can be quickly and finely provided for disaster reduction and prevention of meteorological disasters, and good social and economic effects are achieved; and on the other hand, a new method basis can be provided for disaster reduction and prevention of meteorological lightning strike disasters. 本发明公开了一种基于栅格的闪电落区预测方法，