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Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling
The unmanned aerial vehicle (UAV) offers great potential for collecting air quality data with high spatial and temporal resolutions. The objective of this study is to design and develop a modular UAV-based platform capable of real-time monitoring of multiple air pollutants. The system comprises five...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308618/ https://www.ncbi.nlm.nih.gov/pubmed/30544691 http://dx.doi.org/10.3390/s18124363 |
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author | Gu, Qijun R. Michanowicz, Drew Jia, Chunrong |
author_facet | Gu, Qijun R. Michanowicz, Drew Jia, Chunrong |
author_sort | Gu, Qijun |
collection | PubMed |
description | The unmanned aerial vehicle (UAV) offers great potential for collecting air quality data with high spatial and temporal resolutions. The objective of this study is to design and develop a modular UAV-based platform capable of real-time monitoring of multiple air pollutants. The system comprises five modules: the UAV, the ground station, the sensors, the data acquisition (DA) module, and the data fusion (DF) module. The hardware was constructed with off-the-shelf consumer parts and the open source software Ardupilot was used for flight control and data fusion. The prototype UAV system was tested in representative settings. Results show that this UAV platform can fly on pre-determined pathways with adequate flight time for various data collection missions. The system simultaneously collects air quality and high precision X-Y-Z data and integrates and visualizes them in a real-time manner. While the system can accommodate multiple gas sensors, UAV operations may electronically interfere with the performance of chemical-resistant sensors. Our prototype and experiments prove the feasibility of the system and show that it features a stable and high precision spatial-temporal platform for air sample collection. Future work should be focused on gas sensor development, plug-and-play interfaces, impacts of rotor wash, and all-weather designs. |
format | Online Article Text |
id | pubmed-6308618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63086182019-01-04 Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling Gu, Qijun R. Michanowicz, Drew Jia, Chunrong Sensors (Basel) Article The unmanned aerial vehicle (UAV) offers great potential for collecting air quality data with high spatial and temporal resolutions. The objective of this study is to design and develop a modular UAV-based platform capable of real-time monitoring of multiple air pollutants. The system comprises five modules: the UAV, the ground station, the sensors, the data acquisition (DA) module, and the data fusion (DF) module. The hardware was constructed with off-the-shelf consumer parts and the open source software Ardupilot was used for flight control and data fusion. The prototype UAV system was tested in representative settings. Results show that this UAV platform can fly on pre-determined pathways with adequate flight time for various data collection missions. The system simultaneously collects air quality and high precision X-Y-Z data and integrates and visualizes them in a real-time manner. While the system can accommodate multiple gas sensors, UAV operations may electronically interfere with the performance of chemical-resistant sensors. Our prototype and experiments prove the feasibility of the system and show that it features a stable and high precision spatial-temporal platform for air sample collection. Future work should be focused on gas sensor development, plug-and-play interfaces, impacts of rotor wash, and all-weather designs. MDPI 2018-12-10 /pmc/articles/PMC6308618/ /pubmed/30544691 http://dx.doi.org/10.3390/s18124363 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gu, Qijun R. Michanowicz, Drew Jia, Chunrong Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling |
title | Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling |
title_full | Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling |
title_fullStr | Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling |
title_full_unstemmed | Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling |
title_short | Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling |
title_sort | developing a modular unmanned aerial vehicle (uav) platform for air pollution profiling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308618/ https://www.ncbi.nlm.nih.gov/pubmed/30544691 http://dx.doi.org/10.3390/s18124363 |
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