基于雷达反射拼图的无人机危险气象告警研究  

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

作　　者：李博[1] 汤新民[1] 田凤[1] 许峰[1] 

机构地区：[1]南京航空航天大学民航学院,南京211106

出　　处：《交通信息与安全》2017年第3期19-25,33,共8页Journal of Transport Information and Safety

基　　金：国家自然科学基金项目(U1433125);江苏省自然科学基金项目(BK20141413);中国博士后科学基金项目(2014M550291);中央高校基本科研业务费专项资金项目(NS2014065);中船709研究所委托项目(2016101623)资助

摘　　要：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 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. Further-more, 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 oi Z-R is proved to be more accurate than the fixed Z-R for precipitation esti-mation. The cumulative damage can be used as a reference for risk warning of UAVs.

关 键 词：交通安全 无人机 危险天气告警 动态Z-R 雷达反射拼图 

分 类 号：V328.3[航空宇航科学与技术—人机与环境工程]