Experimental Flight Patterns Evaluation for a UAV-Based Air Pollutant Sensor

• Published in: Micromachines (Basel) Vol. 11; no. 8; p. 768
• Main Authors: Araujo, João Otávio, Valente, João, Kooistra, Lammert, Munniks, Sandra, Peters, Ruud J. B.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 11.08.2020; MDPI
• Subjects: Air pollution; Chemical sensors; COVID-19; Drone aircraft; electrochemical sensors; Electronic noses; Field tests; Flight; gas sensing; Ground stations; Nitrogen dioxide; Outdoor air quality; Pollutants; Public health; remote sensing; Remote sensors; Satellites; Sensors; unmanned aerial vehicle; Unmanned aerial vehicles; Vehicles; Wind speed
• ISSN: 2072-666X; 2072-666X
• DOI: 10.3390/mi11080768

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. A Wilcoxon rank-sum test showed significant difference between flight patterns only under High Wind 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.