PDBSCAN (Parallel Density-Based Spatial Clustering of Applications with Noise) algorithm-based lightning approach trend prediction method

Abstract

The present invention discloses a PDBSCAN (Parallel Density-Based Spatial Clustering of Applications with Noise) algorithm-based lightning approach trend prediction method. According to the defects of a traditional DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, a VDBSCAN (Variable Density-Based Spatial Clustering of Applications with Noise) algorithm and an IDBSCAN algorithm are compounded from the two aspects of parameter assignment selection and memory structure optimization; a PDBSCAN algorithm put forwards after the compounding of the two algorithms is used to carry out equal-time interval clustering on lightning data; and linear fitting is carried out on the space centers of largest lightning clusters under equal time intervals, so that the space coordinates of a lightning occurrence region with the largest lightning density at a next time point are obtained. According to the algorithm of the invention, a condition that density changeS in the lightning clusters are monotonous is considered, a condition that the DBSCAN algorithm easily makes mistakes under a density changing condition can be eliminated, and parameter selection of various kinds of possible spatial distribution patterns of lightning is improved; and the storage structure of the algorithm is optimized, and computational efficiency is improved.

Description

technical field [0001] The invention relates to a lightning impending trend forecasting method based on a PDBSCAN algorithm, which belongs to the field of lightning forecasting. Background technique [0002] Lightning is a natural phenomenon accompanied by bright lights and loud roars. With the rapid development of science and technology, people's understanding of lightning continues to deepen, and their understanding of it has shifted from awe to rationality. The occurrence process of ground lightning is mainly that the cascade formed by the charged particles in the cloud layer leads downward, forms a lightning channel through the connection process, and then strikes back many times. Its exterior manifests as a large amount of light and heat released when the charge is neutralized, and the air is instantly heated to an astonishing degree, and the high temperature in the lightning channel can reach 30,000 degrees Celsius. When a strong current passes through the air, it ca...

AI Technical Summary

Problems solved by technology

This makes the traditional DBSCAN algorithm difficult to deal with, and it is difficult to measure the accuracy of the assignment based on experience alone;

[0006] (2) The storage structure is cumbersome and takes up a large storage space

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