Statistics and Mining Analysis of Lightning Monitoring Data in Power Grid Based on Classical Metrology Model

Abstract

Lightning, also known as lightning, is a strong catastrophic discharge phenomenon between clouds and between clouds and the ground in the process of atmospheric convection. There are two types: cloud flash (between clouds) and ground flash (between clouds and the earth). Lightning location system is a system that uses telemetry technology to monitor lightning activities in full-automatic, large-area, high-precision, continuous and real-time. By analyzing lightning location data collected for a long time, lightning accident points can be quickly located, the distribution of regional lightning activities can be counted, the development trend can be analyzed, and early warning can be carried out, which can provide reference for lightning protection research of ground buildings, thus reducing the harm to human activities. In this paper, the grid method is used to store and query lightning data based on the classical measurement model. Taking the lightning protection technology of transmission network as an example, the method and application of statistics and mining of lightning monitoring data in power grid are studied.