A thunder and lightning detection method, system, device and medium for dynamic networking of unmanned aerial vehicles

Abstract

This invention relates to the field of lightning detection technology, and particularly to a method, system, device, and medium for lightning detection using dynamic UAV networking. The invention determines the probability of lightning occurrence by acquiring the convective effective potential energy, lift index, cloud top temperature, and lightning frequency of each lightning region. When the probability of lightning occurrence in a region exceeds a preset lightning probability threshold, that region is designated as the target lightning region, and its center coordinates and estimated radius are determined. Based on the center coordinates, estimated radius, and the detection radius and angle of each UAV, the initial position coordinates of each UAV are determined, and electric field strength detection values ​​are collected to determine the lightning location result. Lightning detection is achieved using a multi-layer UAV adaptive formation method, which can accurately detect high-probability lightning regions and surrounding buffer zones, accurately reflect the three-dimensional spatial location and electric field strength distribution of lightning, and improve the accuracy of lightning location and detection.

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