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Power generation and pollution control from unwanted noise.

Authors :
Ananthi, M.
Harinarayanan, J.
Muhibullah, M.
Source :
AIP Conference Proceedings. 5/26/2022, Vol. 2464/2506 Issue 1, p1-6. 6p.
Publication Year :
2022

Abstract

Air pollution is the major level of environmental pollution which affects all the living beings health and atmospheric condition. In which it is a major challenging issue today's scenario. Air pollution leads to adverse effects on climate, ecosystem and living things including human, animals and plants etc,. The Atmospheric air is getting polluted by the industry, power plants, vehicle emission and many sources releasing the unwanted toxic, harmful gases and particulate matter into the atmosphere. This Particulate matter is one of the major sources for the contribution of increase in air pollution in the atmosphere. Such particulate matters create a serious requirement for monitoring, measuring and analysis of real-time air quality condition in order that appropriate resolutions are often taken during a period of time. This paper presents a real-time standalone solution for monitoring the air pollution level which includes various parameters: PM (Particulate Matters) 2.5, CO (Carbon Monoxide), CO2 (Carbon dioxide), air pressure, humidity and atmospheric temperature. The Internet of Things (IoT) is plays vital role in monitoring the pollution level in the atmosphere. IoT mingle with cloud computing gives a completely unique way for management of data from different sensors were collected and transmitted to the low power, a low-cost ARM Processor which act as a minicomputer based on Raspberry pi all the input from the various sensors are combined and compared to the standard level, when the variation is more than the standard it will inform the individual and also alert the user. Pollution in India has been increasing year by year and most of the states are suffering severely from it. So this system monitors pollution and updates pollution levels from all over the areas within the city in a real-time manner. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2464/2506
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
157098060
Full Text :
https://doi.org/10.1063/5.0082762