Building IoT-Assisted Indoor Air Quality Pollution Monitoring System

Abstract

Air pollution causes several diseases like suffocation, chronic obstructive pulmonary disease (COPD), lung cancer, throat infection, and so forth. So, there is a need to monitor indoor air quality for the safety of human life. Indoor air pollution is even more dangerous than outdoor air pollution. Even, after the COVID-19 pandemic, humans are spending most of their time in indoor houses. In addition to this, air pollution is increasing day by day due to varying climate changes. In view of this fact, this research wor has designed and developed a novel system based on the latest IoT technology that monitors indoor air quality and provides a web portal for data visualization. The proposed system consists of several gas sensors integrated on a single PCB that helps in reading seven pollutants like CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> , CO, O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> , NO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> , VOC, and Particulate Matter along with humidity and temperature. In our work, Raspberry Pi acts as a processor as well as the communicating node to the cloud. The experimental setup is deployed in several indoor places like closed labs, classrooms, homes, etc., where humans spend more time. Raspberry Pi is having an inbuilt wi-fi functionality and the real-time data is sent to Google Firebase with help of a Jio Fi router. After visualizing the data, Indoor Air Quality Index (IAQI) is measured and generates an alarm for the safety of humans when air standard crosses a marginal value.