用于远程气体监测的六旋翼无人机下洗区域的运动后稳定时间。

Post-movement stabilization time for the downwash region of a 6-rotor UAV for remote gas monitoring.

作者信息

Brinkman Jacob L, Davis Brent, Johnson Catherine E

机构信息

Department of Mining and Nuclear Engineering, Missouri University of Science and Technology, 226 McNutt Hall, 1400 N. Bishop Ave., Rolla, MO, 65409, USA.

出版信息

Heliyon. 2020 Sep 23;6(9):e04994. doi: 10.1016/j.heliyon.2020.e04994. eCollection 2020 Sep.

DOI:10.1016/j.heliyon.2020.e04994

PMID:33005799

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7519372/

Abstract

Unmanned aerial vehicles (UAV) have been used to monitor gas emissions for research projects, though downwash, the airflow produced by the UAV rotors, is potentially capable of artificially altering gas concentration measurements. Anemometers, placed at ten different distances below a 6-rotor UAV, measured air speeds in the downwash region. The collected data was used in combination with UAV rotor speed data to determine the stabilization time of the downwash region after the UAV has returned to a stable hovering position. The stabilization time will determine the amount of time after UAV movement until reliable concentration readings can be obtained within the downwash region. This paper presents stabilization times after vertical upward and rotational UAV movement.

摘要

无人驾驶飞机（UAV）已被用于监测研究项目中的气体排放，不过无人机旋翼产生的气流——下洗气流，有可能人为改变气体浓度测量结果。在一架六旋翼无人机下方十个不同距离处放置风速计，测量下洗气流区域的风速。收集到的数据与无人机旋翼速度数据结合使用，以确定无人机返回稳定悬停位置后下洗气流区域的稳定时间。稳定时间将决定无人机移动后，直到在下洗气流区域内能够获得可靠浓度读数所需的时间。本文介绍了无人机垂直向上移动和旋转移动后的稳定时间。