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Design of Meteorological Element Detection Platform for Atmospheric Boundary Layer Based on UAV

机译:基于无人机的大气边界层气象要素检测平台设计

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摘要

Among current detection methods of the atmospheric boundary layer, sounding balloon has disadvantages such as low recovery and low reuse rate, anemometer tower has disadvantages such as fixed location and high cost, and remote sensing detection has disadvantages such as low data accuracy. In this paper, a meteorological element sensor was carried on a six-rotor UAV platform to achieve detection of meteorological elements of the atmospheric boundary layer, and the influence of different installation positions of the meteorological element sensor on the detection accuracy of the meteorological element sensor was analyzed through many experiments. Firstly, a six-rotor UAV platform was built through mechanical structure design and control system design. Secondly, data such as temperature, relative humidity, pressure, elevation, and latitude and longitude were collected by designing a meteorological element detection system. Thirdly, data management of the collected data was conducted, including local storage and real-time display on ground host computer. Finally, combined with the comprehensive analysis of the data of automatic weather station, the validity of the data was verified. This six-rotor UAV platform carrying a meteorological element sensor can effectively realize the direct measurement of the atmospheric boundary layer and in some cases can make up for the deficiency of sounding balloon, anemometer tower, and remote sensing detection.
机译:在目前的大气边界层检测方法中,探测气球具有回收率低,重复利用率低的缺点,风速仪塔具有位置固定,成本高的缺点,遥感探测具有数据精度低的缺点。本文在六旋翼无人机平台上搭载了气象要素传感器,实现了对大气边界层气象要素的检测,以及气象要素传感器安装位置的不同对气象要素传感器检测精度的影响。通过许多实验进行了分析。首先,通过机械结构设计和控制系统设计,建立了六旋翼无人机平台。其次,通过设计气象要素检测系统,收集了温度,相对湿度,压力,海拔,纬度和经度等数据。第三,对采集到的数据进行数据管理,包括本地存储和地面主机实时显示。最后,结合对自动气象站数据的综合分析,验证了数据的有效性。这种带有气象要素传感器的六旋翼无人机平台可以有效地实现对大气边界层的直接测量,并且在某些情况下可以弥补探测气球,风速计塔架和遥感探测的不足。

著录项

  • 来源
    《International journal of aerospace engineering》 |2017年第2期|1831676.1-1831676.14|共14页
  • 作者单位

    Nanjing Univ Informat Sci & Technol, Sch Informat & Control, B DAT, CICAEET,C MEIC, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Sch Informat & Control, B DAT, CICAEET,C MEIC, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Sch Informat & Control, B DAT, CICAEET,C MEIC, Nanjing, Jiangsu, Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 00:05:37

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