Experimental flight patterns evaluation for a UAV-based air pollutant sensor

João Otávio Araujo, João Valente*, Lammert Kooistra, Sandra Munniks, Ruud J.B. Peters

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The use of drones in combination with remote sensors have displayed increasing interest over the last years due to its potential to automate monitoring processes. In this study, a novel approach of a small flying e-nose is proposed by assembling a set of AlphaSense electrochemical-sensors to a DJI Matrix 100 unmanned aerial vehicle (UAV). The system was tested on an outdoor field with a source of NO2. Field tests were conducted in a 100 m2 area on two dates with different wind speed levels varying from low (0.0-2.9m/s) to high (2.1-5.3m/s), two flight patterns zigzag and spiral and at three altitudes (3, 6 and 9 m). The objective of this study is to evaluate the sensors responsiveness and performance when subject to distinct flying conditions. AWilcoxon rank-sum test showed significant difference between flight patterns only under HighWind conditions, with Spiral flights being slightly superior than Zigzag. With the aim of contributing to other studies in the same field, the data used in this analysis will be shared with the scientific community.

Original languageEnglish
Article number768
JournalMicromachines
Volume11
Issue number8
DOIs
Publication statusPublished - 11 Aug 2020

Keywords

  • Electrochemical sensors
  • Gas sensing
  • Remote sensing
  • Unmanned aerial vehicle

Fingerprint Dive into the research topics of 'Experimental flight patterns evaluation for a UAV-based air pollutant sensor'. Together they form a unique fingerprint.

  • Cite this