Thunderstorm clustering method and device for thunder and lightning data, computer device and storage medium

Abstract

The invention discloses a thunderstorm clustering method and device based on massive thunder and lightning data, a computer device and a storage medium. The method comprises the following steps: performing initialization processing on all lightning data in any region in any given time period, setting characteristic parameters of thunderstorm clustering, performing time scale pre-clustering on a lightning data set to obtain all data subsets, and selecting a clustering method according to the sizes of the data subsets; using a conventional clustering algorithm when the data size is small, and executing the step 4 when the data size is large; partitioning the data subsets, and synchronously clustering the partitions; clustering nodes in a partition boundary region, and finding out a clustering result relationship between adjacent partitions; combining partition clustering results; writing a clustering result into files. According to the method, the time attribute of the thunder and lightning data is converted into the space attribute, so that the clustering speed is higher and is more than three times faster than that of a conventional DBScan algorithm, and the larger the data size is, the more obvious the effect is. Meanwhile, the time and space attributes of the lightning data are considered, so that the accuracy of a clustering result is improved.

Description

technical field [0001] The invention relates to thunderstorm clustering and thunderstorm activity statistics methods, in particular to a thunderstorm clustering method, device, computer equipment and storage medium based on massive lightning data. Background technique [0002] Thunder clouds are driven by atmospheric motion and can move quickly. Lightning itself will affect the safety of important facilities such as power equipment. Therefore, it is of great significance to grasp the trajectory and trend of densely occurring lightning clusters for the protection of facilities susceptible to lightning effects. The existing work mainly focuses on the prediction of the future trend of lightning movement. For example, the publication number is CN102253426A titled "Method for Predicting Lightning Movement Using Spatial Density Clustering", which uses density clustering and feature points to predict the direction of lightning movement. The publication number is CN105353225A, whic...

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Problems solved by technology

[0004] The purpose of the present invention is: the present invention aims at overcoming the problem that the amount of thunderstorm clustering data is too small in existing achievements, thereby provides a kind of method that can cluster massive lightning data

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