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IoT-Based Smart Air Quality Control System: Prevention to COVID-19
EAI/Springer Innovations in Communication and Computing ; : 15-23, 2022.
Article in English | Scopus | ID: covidwho-1565235
ABSTRACT
The poor quality of air is hazardous to human health as it causes numerous health problems. It results in heart strokes, increased levels of blood sugar causing diabetes and high blood pressure. These pre-existing medical conditions are identified as the root cause of the spread of coronavirus and raise the chances of death from COVID-19. Prominent research has proven that inhaling the polluted air worsens the impact of COVID-19. It suggests that air pollution is increasing COVID-19 mortality rate. It is evident from SARS like outbreaks and dangerous respiratory infections that breathing more polluted air increases the risks of death. This study proposes IoT-based smart air quality control system as a preventive measure to community spread of virus, i.e. COVID-19. It detects the quality of the air using multiple air pollution sensors. The installed sensors are capable to monitor the presence of air pollutants in the ambiance both indoor and outdoor environments. The objective of this study is to bring attention to environmental issues beyond the scope of the human eye and serve to prevent spread of COVID-19 disease. It stores the collected data on a cloud to monitor and control the quality of air. The accuracy of proposed smart unit is verified for the purpose of monitoring the air quality and the storing the data on cloud for applications. © 2022, Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Springer Innovations in Communication and Computing Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Springer Innovations in Communication and Computing Year: 2022 Document Type: Article