Analysis of Lightning Movement Trend Based on Single Data
Mining effective information from lightning data for lightning warning conforms to the trend of digital transformation of the power grid.This article deeply mines the thunder and lightning data,explores the movement patterns of thunder clouds from a differential perspective,and quantifies the lightning amplitude and quantity into pixelated processing of lightning data within a grid to achieve lightning warning.The year-month-day-minute-second time information of the data is refined and re-moved,and cluster analysis is performed in time and space to deeply mine the lightning data.It can be found that the turning an-gle of thundercloud trajectories in continuous periods is mostly between 20 and 120 degrees,and the moving distance generally does not exceed 30 km.Pixelation is a new method for processing lightning data.By comparing the pixel graphs of lightning data in continuous periods,the development trend of thunderclouds can be observed,and the coverage area of thunderclouds in the fu-ture can be predicted,thereby providing lightning warnings.This paper uses single lightning data for lightning warning,which has practical significance for active lightning protection.
万方数据
维普
