dc.contributor.author | Olupot, Robert | |
dc.date.accessioned | 2021-03-05T10:31:02Z | |
dc.date.available | 2021-03-05T10:31:02Z | |
dc.date.issued | 2021-03-05 | |
dc.identifier.citation | Olupot, R. (2021). Design and Implementation of an Unmanned Aerial Vehicle Based Urban Air Quality Monitoring System. (Unpublished undergraduate dissertation) Makerere University. Kampala, Uganda | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/9318 | |
dc.description | A project report submitted in partial fulfilment of the requirements for the award of Degree of
Bachelor of Science in Computer Engineering of the College of Engineering, Design, Art and
Technology, Makerere University | en_US |
dc.description.abstract | Air pollution monitoring has recently become an issue of utmost importance in our society. This
is due to the growing air pollution concerns and related respiratory illnesses caused by the air
pollutants. Assessment of air quality has been traditionally conducted by ground based monitoring,
manned aircrafts and satellites. However, performing fast, comprehensive data collection near air
pollution sources is not always feasible due to the complexity of sites, moving sources or physical
barriers. Unmanned Aerial Vehicle (UAV) is getting attention in air quality monitoring application
due to its high maneuverability in both the horizontal and the vertical dimensions to obtain high
special resolution and near surface vertical profiling of atmosphere pollution. This work designs
and develops a low cost particulate matter air monitoring system to be mounted on the UAV. The
components used are light, consume less power and are readily available.
Using JavaScript programming language and following the Rapid Application development
procedures, the graphical user Interface was developed. To achieve the real time data logging
feature, an open source software known as Adafruit IO alongside the python programming
language were employed. The portable air pollution detection system was assembled using a
raspberry pi 3B, an SDS011 particulate matter sensor, a modem, and an SD Card.
The key results of this study were a mobile air pollution detection system made of lightweight
materials that can effectively operate in the UAV, a real time data repository system that logs and
stores air quality data collected by the detection system in the UAV, and a graphical User Interface
that displays the collected and stored data, along with the air quality index. | en_US |
dc.language.iso | en | en_US |
dc.subject | Aerial Vehicle | en_US |
dc.subject | Air Quality Monitoring System | en_US |
dc.title | Design and Implementation of an Unmanned Aerial Vehicle Based Urban Air Quality Monitoring System | en_US |
dc.type | Thesis | en_US |