dc.contributor.author | Kasasira, Enoch | |
dc.date.accessioned | 2023-09-29T08:14:28Z | |
dc.date.available | 2023-09-29T08:14:28Z | |
dc.date.issued | 2023-07 | |
dc.identifier.citation | Kasasira, Enoch. (2023). Smart indoor air quality and atmospheric monitoring system. (Unpublished undergraduate dissertation) Makerere University; Kampala, Uganda. | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/16486 | |
dc.description | A project report submitted to the School of Engineering in partial fulfillment of the requirement for the award of a Bachelor's degree in Computer Engineering of Makerere University | en_US |
dc.description.abstract | The "Smart Indoor Air Quality and Atmospheric Monitoring System" project aims to develop an advanced solution for real-time monitoring and analysis of indoor air quality using sensors like DHT11 for temperature and humidity measurements, as well as MQ135 for detecting CO2 levels and VOCs. The system also incorporates a mobile application with a user-friendly interface for visualizing the collected data.
The sensors are calibrated and synchronized to provide accurate measurements, and the data is wirelessly transmitted to a central server for real-time processing and analysis. The system employs sophisticated algorithms to detect anomalies and generate actionable insights.
Users can access the system through the mobile application, allowing them to visualize the real-time data, monitor trends, and receive personalized recommendations. This empowers individuals to make informed decisions and take necessary measures to maintain a healthy indoor environment.
Furthermore, the project's data contributes to scientific research and policymaking initiatives, providing valuable information for understanding the impact of indoor air pollutants on human health and enabling the formulation of regulations and guidelines for improved indoor air quality standards.
In conclusion, the "Smart Indoor Air Quality and Atmospheric Monitoring System" project integrates DHT11 and MQ135 sensors with a mobile application for real-time data visualization, empowering users to monitor and enhance indoor air quality effectively. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Indoor Air | en_US |
dc.subject | humidity | en_US |
dc.subject | DHT11 | en_US |
dc.subject | MQ135 | en_US |
dc.title | Smart indoor air quality and atmospheric monitoring system. | en_US |
dc.type | Thesis | en_US |