ABSTRACT
The Covid -19 is arguably the biggest pandemic in history and there are a lot of challenges that must be dealt with. One of the biggest challenges post Covid-19 is to tackle quality control challenges. This research paper discusses some of these challenges and solutions using an integrated internet of things (IoT) and internet of protocols (IoP) based approach and further showing its implementation in the industry world and hence, proving to be a solution for damage assessment. With the help of IoT- enabled quality control system, six-sigma rule is also analysed. Post Covid crisis, it is important for every institution to gain back customer trust so quality of materials should be maintained and IoT enables us to do the same. The unification of industrial IoT (IIoT) and industry 4.0 is also discussed as it leads us to understand that this unification is the next evolution of smart manufacturing and digital technologies. This methodology can lead us to accelerated innovation in applications for overcoming the eventual challenges post Covid in the near future. Also, small-scale/large-scale companies making use of the above research methodology can adhere to six-sigma criterion. © 2022 Institute of Physics Publishing. All rights reserved.
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.