Development of Air Quality Assessment System using WSN

Autor: Purva Shetty, Deepali Yewale, Neha Nilajkar, Parth Parashtekar
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Advanced Research in Science, Communication and Technology. :346-351
ISSN: 2581-9429
DOI: 10.48175/ijarsct-1381
Popis: Air pollution is one of the most significant environmental issues. Nowadays, with the increasing population and industries, the air quality is getting degraded. Air pollutants can have severe effects on human health. They may also lead to chronic diseases. These pollutants are a threat not only to human beings but also to animals and birds. Cities like Delhi and Beijing are getting shut down due to excessive pollution and smog every year. As we know, air pollution causes all sorts of breathing disorders. Rectifying this issue is not in our hands, but we can monitor the situation and collect data to prevent this catastrophe in the future. This paper aims to design and implement an air quality monitoring system for constantly analyzing and reporting real-time data. This paper explains the prototype design of an embedded-system-based air quality monitoring system that will sense various harmful gases present in the air. This data will be gathered and stored in an easily accessible manner and displayed on a website.
Databáze: OpenAIRE