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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. An IoT Solution to Air Quality Monitoring
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An IoT Solution to Air Quality Monitoring

Full metadata

Title
An IoT Solution to Air Quality Monitoring
Description
Pollution is an increasing problem around the world, and one of the main forms it takes is air pollution. Air pollution, from oxides and dioxides to particulate matter, continues to contribute to millions of deaths each year, which is more than the next three leading causes of environment-related death combined. Plus, the problem is only growing as industrial plants, factories, and transportation continues to rapidly increase across the globe. Those most affected include less developed countries and individuals with pre-existing respiratory conditions. Although many citizens know about this issue, it is often unclear what times and locations are worst in terms of pollutant concentration as it can vary on the time of day, local activity, and other variable factors. As a result, citizens lack the knowledge and resources to properly combat or avoid air pollution, as well as the data and evidence to support any sort of regulatory change. Many companies and organizations have tried to address this through Air Quality Indexes (AQIs) but are not focused enough to help the everyday citizen, and often fail to include many significant pollutants. Thus, we sought to address this issue in a cost-effective way through creating a network of IoT (Internet of Things) devices and deploying them in a select area of Tempe, Arizona. We utilized Arduino Microprocessors and Wireless Radio Frequency Transceivers to send and receive air pollution data in real time. Then, displayed this data in such a way that it could be released to the public via web or mobile app. Furthermore, the product is cheap enough to be reproduced and sold in bulk as well as scaled and customized to be compatible with dozens of different air quality sensors.
Date Created
2019-05
Contributors
  • Coury, Abrahm Philip (Co-author)
  • Gillespie, Cody (Co-author)
  • Ren, Fengbo (Thesis director)
  • Shrivastava, Aviral (Committee member)
  • Computer Science and Engineering Program (Contributor, Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • Internet of Things
  • Pollution
  • Air Quality
  • Embedded Systems
  • Sensors
Resource Type
Text
Extent
32 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2018-2019
Handle
https://hdl.handle.net/2286/R.I.52715
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2019-04-19 12:01:58
System Modified
  • 2021-08-11 04:09:57
  •     
  • 2 years 3 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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