IoT-Based Air Pollution Meter

dc.contributor.advisorBul’Ajoul, Waleed
dc.contributor.authorQasem, Naif
dc.date.accessioned2023-10-03T07:01:24Z
dc.date.available2023-10-03T07:01:24Z
dc.date.issued2023-02-24
dc.description.abstractThe quality of our lives as well as our day-to-day activities are impacted by pollution in the air. Both the planet's environment and the quality of life there are at risk as a result of this danger. Because of the rise in the number of industrial operations that have taken place over the course of the last several years, there is an obvious and immediate need to check the quality of the air. It is necessary for people to be aware of the degree to which their actions impact the quality of the air. It is predicted that monitoring air quality will become increasingly essential at residence, in the office, and at recreational events, in particular with relation to improving wellbeing and protecting social interaction. The project presents a practical approach to the implementation of smart air pollution monitoring by making use of an Internet of Things (IoT) solution. This solution is built upon low cost air quality sensors and the Thingspeak platform. This project proposes the implementation of a monitoring system for air pollution. The ESP32-based microcontroller was utilised throughout the development of the system. The system for monitoring air pollution was developed to perform monitoring and analysis of the air quality in real time. Additionally, it was intended to log data to a remote IoT platform called Thingspeak, which would keep the data updated through the internet. On the Internet of Things (IoT) platform, graphical representation was used to conduct analysis after air quality measurements were made based on the metrics of parts per million (PPM). The device collects data on the environment's temperature, relative humidity, air pressure, and smoke levels. The developed system yielded reliable results when measuring the quality of the surrounding air. The outcome was shown on the display interface of the user hardware and was available for inspection through the Thingspeak platform.
dc.format.extent95
dc.identifier.urihttps://hdl.handle.net/20.500.14154/69312
dc.language.isoen
dc.publisherSaudi Digital Library
dc.subjectmeter
dc.subjectIOT
dc.subjectpollution
dc.subjectclimate
dc.subjectPPM
dc.titleIoT-Based Air Pollution Meter
dc.typeThesis
sdl.degree.departmentScience & Technology
sdl.degree.disciplineEngineering
sdl.degree.grantorNottingham Trent
sdl.degree.nameMaster's Degree

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