POLLUTION MANAGEMENT THROUGH INTERNET OF THINGS: A SUBSTANTIAL SOLUTION FOR SOCIETY
| Autor: | Gulbir Singh, Gautam Kumar, Vivek Bhatnagar, Animesh Srivastava, Kumari Jyoti |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Pollution
education.field_of_study Computer science General Arts and Humanities media_common.quotation_subject Control (management) Population General Social Sciences Environmental pollution Change control board Environmental economics Unit (housing) Industrialisation Originality education media_common |
| Zdroj: | Humanities & Social Sciences Reviews. 7:1231-1237 |
| ISSN: | 2395-6518 |
| DOI: | 10.18510/hssr.2019.75162 |
| Popis: | Purpose of Study: In this age where population and industrialization have extended exponentially, contamination is a noteworthy emergency looked by humanity and essential measures ought to be taken to control it quickly. High levels of pollutants in the atmosphere, which are responsible for causing pollution that causes human heart problems, breathing and other all health problems to our society. This paper focused to provide a substantial solution to pollution in our society as a result of which major social, personal health and environmental pollution problems can be monitored and by taking effective steps they can be reduced. Methodology: The proposed framework is an IOT unit for handling these issues, including powerful use of the different sensor, to capture the estimations of various sorts of toxins in the earth and show insights on a site which can be gotten to by all clients for nothing. The research data is collected from the different sensors installed at different locations in our surroundings. After collecting data from sensors, a comparative study of data is carried out with the standards provided by the Central Pollution Control Board (CPCB). Results: The proposed system helps to reduce the pollution in our environment and as a result of which pollution can be reduced by taking major steps towards it. Application/Implications: The framework we are proposing is a propelled answer for observing the ecological contamination at a specific spot and make data available for each person. Novelty/originality of the study: Our proposed system ensures that pollution which ultimately causes health, environmental and other social problems can be tracked from time to time and each and every person in the society can track and check pollution level in their surroundings. |
| Databáze: | OpenAIRE |
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