4D (Four Dimensional) thunder collecting method of sensor network

Abstract

The invention belongs to the field of natural situation data acquisition and analog, specifically a 4D (Four Dimensional) thunder collecting method using a sensor network. The method comprises the following steps of: 1, designing multiple physical attributes sampling nodes of the thunder, and collecting physical parameter information such as radio frequency spectrums, thunder clap and the like of space 3D (Three Dimensional) lightning shapes and thunder by using the sensor network in a large range, wherein each network node comprises the following devices: a low-speed camera, a high-speed camera, a sound detector, a GPS (Global Positioning System), a 3G (Third Generation) wireless communication device, and a radio wide frequency spectrum analyzer; 2, carrying out multilevel sampling in thunder areas by combining fixed-point collection and mobile collection; 3, carrying out the synchronization of data acquisition by the calibration of multi-node multi-device; 4, transmitting multi-node large-scale sampling data by the 3G wireless communication device; and 5, generating a 4D thunder sampling database. The invention has the characteristics that the 3D shapes of lightning, thunder clap and radio frequency spectrum can be synchronously acquired and the collection on large-scale thunder data is realized by the combination of the fixed-point collection and the mobile collection. In the invention, the collected thunder data can be applied to the meteorological environmental monitor and the thunder simulation based on physic.

Description

technical field [0001] The invention relates to a 4D lightning acquisition method of a sensor network, belonging to the technical field of natural phenomenon acquisition and simulation. Background technique [0002] Lightning is a common natural phenomenon that produces powerful sound, light, and electrical signals when it occurs. The research on lightning has practical application value in meteorology, disaster prevention, film and television and other fields. Until now, people have not been able to control the occurrence of lightning. Therefore, the characteristics and laws of lightning occurrence are studied, the process and parameters of lightning occurrence are detected and recorded, and the multi-physical attributes of lightning are sampled. Information such as sound is very important for realistic simulation of lightning, formulating correct lightning protection strategies, and designing reliable and effective lightning protection projects. [0003] Modern lightning...

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Problems solved by technology

Chinese patent document 200620016492.4 Lightning monitoring and recording network system proposes a lightning monitoring and recording system, which can actually and truly record the specific situation of the lightning current when the lightning strike occurs, find out the law of the lightning current release, and carry out lightning protection projects based on this The design and selection of lightning protection equipment, this document only considers the data acquisition of the discharge signal, and does not consider the data acquisition of thunder, three-dimensional shape, etc.

Chinese patent document 200910061599.9 digital lightning detection method and its device, collects electromagnetic signals generated when receiving lightning discharge, builds a digital ground lightning signal recognition model, and uses the digital ground lightning signal recognition model to calculate the parameters of the input digital signal And judgment, this document only recognizes the electromagnetic signal of lightning, but does not consider the sound and light information when lightning occurs

Chinese patent document 200910301972.3 The photoacoustic lightning detection method and its detectors use upward cameras and sound collectors to collect fixed-point lightning images and sound information, without considering the collection of lightning information in a large area

[0004] Most of the existing lightning detection methods focus on the acquisition of electromagnetic changes when lightning occurs. Most of the methods are collected at fixed points, cannot obtain large-scale lightning change data, and rely too much on the acquisition quality of the sampling platform

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