基于雷达反射拼图的无人机危险气象告警研究

雷雨是影响无人机安全运行的重要因素,如何获取实时降水数据并据此给出相应告警信息,对于无人机的安全运行具有重要意义.将实时雷达反射拼图作为气象数据源,通过配准及投影变换标定了拼图的地理坐标信息.运用统计数据动态拟合Z-R关系,使雷达定量降水估计(QPE)更为准确.运用累计损伤的思想,提出了一种降水对于无人机威胁度的量化方法,并据此对无人机给出告警信息.案例表明,配准及投影变换能够实现全国雷达反射拼图的精细化应用,动态拟合Z-R相较于固定Z-R对降水估计更为准确,累计损伤可作为对无人机进行危险告警的数据参考. 

A Study on Weather Alert for UAVs Based on Weather Radar Mosaic

A thunderstorm is an important weather factor to operation safety of unmanned aerial vehicles (UAVs).To obtain real-time precipitation data and give the alert information is of great significance for the safe operation of UAVs.Based on registration and projection transformation, a method to calibrate weather radar mosaic is proposed.Furthermore, a dynamic Z-R fitting scheme for radar quantitative precipitation estimation (QPE) is developed.In the end, a method for quantifying threat degrees of precipitation to UAVs is presented to give weather alert accordingly.A case study shows that the proposed methods can be implemented to improve the precision of radar mosaic and the accuracy of radar QPE.Moreover, the dynamic fitting of Z-R is proved to be more accurate than the fixed Z-R for precipitation estimation.The cumulative damage can be used as a reference for risk warning of UAVs.