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Abstract
Air pollution is a leading cause of premature deaths globally with 6.7 million fatalities each year and 99 percent of the world’s population living in areas with substandard air quality. The ambient air pollution contributed to 4.2 million deaths predominantly in developing countries. To resolve this problem I have the solution to employ three sensors in my system which are SFM3000, SHT85, and BMP180. The SFM3000 flow sensor measures the flow rate of air and gases while the SHT85 sensors monitor temperature and humidity meanwhile BMP180 measures atmospheric pressure, providing a comprehensive assessment of air quality. An Arduino nano microcontroller integrates these sensors with a USB interface allowing real-time data display and effective monitoring on the 16*2 LCD screen. The system aims to develop a robust platform that continuously analyzes and displays real-time environmental data. By capturing key parameters such as temperature, humidity, airflow, and atmospheric pressure, this solution offers an economical and efficient tool for diverse monitoring needs. Its versatility makes it suitable for industrial process control, healthcare environments, and environmental protection applications, all while leveraging the compact size and flexibility of the Arduino nano. The system’s USB interface enhances its functionality by facilitating data transfer and enabling seamless real-time monitoring. Specifically, the SFM3000 ensures optimal airflow and ventilation in hospitals and industries to reduce indoor air pollution and associated respiratory risks. The SHT85 sensor manages temperature and humidity levels, helping prevent mold growth and improve overall air quality. Meanwhile, the BMP180 sensor measures atmospheric pressure supporting effective medical treatments and maintaining healthy conditions. Implementing these sensors can significantly mitigate the health impacts of air pollution to enhance safety and potentially save lives.
Abstract
Air pollution is a leading cause of premature deaths globally with 6.7 million fatalities each year and 99 percent of the world’s population living in areas with substandard air quality. The ambient air pollution contributed to 4.2 million deaths predominantly in developing countries. To resolve this problem I have the solution to employ three sensors in my system which are SFM3000, SHT85, and BMP180. The SFM3000 flow sensor measures the flow rate of air and gases while the SHT85 sensors monitor temperature and humidity meanwhile BMP180 measures atmospheric pressure, providing a comprehensive assessment of air quality. An Arduino nano microcontroller integrates these sensors with a USB interface allowing real-time data display and effective monitoring on the 16*2 LCD screen. The system aims to develop a robust platform that continuously analyzes and displays real-time environmental data. By capturing key parameters such as temperature, humidity, airflow, and atmospheric pressure, this solution offers an economical and efficient tool for diverse monitoring needs. Its versatility makes it suitable for industrial process control, healthcare environments, and environmental protection applications, all while leveraging the compact size and flexibility of the Arduino nano. The system’s USB interface enhances its functionality by facilitating data transfer and enabling seamless real-time monitoring. Specifically, the SFM3000 ensures optimal airflow and ventilation in hospitals and industries to reduce indoor air pollution and associated respiratory risks. The SHT85 sensor manages temperature and humidity levels, helping prevent mold growth and improve overall air quality. Meanwhile, the BMP180 sensor measures atmospheric pressure supporting effective medical treatments and maintaining healthy conditions. Implementing these sensors can significantly mitigate the health impacts of air pollution to enhance safety and potentially save lives.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Rahim, Muhammad Nawaz
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Environment Monitoring System,Air Measurement,Real-time Monitoring
Data di discussione della Tesi
7 Ottobre 2024
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Rahim, Muhammad Nawaz
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Environment Monitoring System,Air Measurement,Real-time Monitoring
Data di discussione della Tesi
7 Ottobre 2024
URI
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