IOT BASED POLLUTION MONITORING SYSTEM BY USING RASPBERRY PI
Jyoti More1, K. J. Karande2, A. D. Harale3
1P. G. Scholar, 2Professor, 3Assistant Professor
1P.G Student, Department of E&TC Engineering, SKN Sinhgad College of Engineering, Pandharpur(MS), India.
2Assistant Professor, Department of E&TC Engineering, SKN Sinhgad College of Engineering, Pandharpur(MS), India.
3Assistant Professor, Department of E&TC Engineering, SKN Sinhgad College of Engineering, Pandharpur(MS), India.
Corresponding Author: morejyoti1507gmail.com 1
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - With the tremendous increases in the level of population and mechanization pollution has increased many folds. This results in deterioration of individual health thereby directly affecting health of entire population. An IOT based Air, Noise and Water Pollution Monitoring System is proposed which will monitor the level of pollution and water quality over a web server using internet.
Noise pollution is major problem in cities around the world. Environmental noise consists of all the unwanted sound in our communities except that which originates in the workplace. Environmental noise pollution, a form of air pollution, is a imminence to health and wellbeing. It is more severe and expensive than ever before, and it will continue to expand in magnitude and severity because of population growth.
Water covers to 70% of the Earth’s surface. It is a very big resource for people and the environment. Water pollution affects rivers, drinking water, lakes and oceans all over the world. In many developing countries, it is usually a leading source of death, by people drinking from polluted water sources. More to this, water pollution affects not only individual living group, but also populations and entire functioning ecosystems that exist in the waters. Water pollution is the second most imperative environmental fear along with air pollution.
Key Words: Raspberry pi, Temperature sensor, Gas sensor, Internet of Things, Sound sensor.
