Method and system for predicting thunder cloud moving path based on lightning location system

Abstract

The invention provides a method for predicting a thunder cloud moving path based on a lightning location system. The method comprises the steps of establishing a clustering analysis database, obtaining lightning data in the same time period, calculating the distance between each lightning point and a neighboring lightning point according to each lightning point and building a lightning data spatial position relation table according to the lightning points and the distances, calculating the density relation of any two lightning points, clustering the lightning data according to the density relation of any two lightning points to generate a thunder cloud and obtaining the position characteristic points of the thunder cloud, linearly fitting the position characteristic points of the thunder cloud according to the displacement change of position characteristic points of the thunder cloud as time goes by, and predicting the position of the thunder cloud in next time period. The method for predicting the thunder cloud moving path based on the lightning location system is capable of predicting the position of the thunder cloud more accurately. The invention also provides a system for predicting the thunder cloud moving path based on the lightning location system.

Description

technical field [0001] The invention relates to the technical field of lightning forecasting and early warning, in particular to a method and system for forecasting a thunderstorm cloud moving path based on a lightning positioning system. Background technique [0002] At present, a lot of in-depth research has been carried out in the field of meteorology on the prediction of thundercloud movement path, and fruitful results have been obtained. Researchers mainly use methods such as extrapolation, pattern recognition, and cross-correlation algorithms to identify, track, and predict thunderstorm clouds based on real-time data collected by Doppler weather radar. However, for special industries such as electric power companies, they are more concerned about the probability of lightning strikes on the ground in a specific area, and there are few research results on the location of thunderclouds and the probability of ground lightning strikes under their coverage area. Therefore, ...

AI Technical Summary

Problems solved by technology

However, after research, it is found that this method has the following problems: if the thunderstorm cloud splits or merges in a certain period of time, the number of data clusters formed after the cluster analysis of ground lightning points in this period will be different from that of the data clusters in the previous period. The number changes, and the change in the number of data clusters will directly cause the calculation of the feature points of the thunderstorm cloud position in the next time period to be impossible.

Images