IOT Based Smart System for Controlling Co2 Emission

Authors(3) :-Dr. M. Newlin Rajkumar, Sruthi M. S , Dr. V. Venkatesa Kumar

Pollution has a major role in damaging our earth. The rapid industrialization, fast urbanization , rapid growth in population, drastic increase in vehicles on roads and other activities of human beings have disturbed the balance of natural atmosphere. It changes the quality of climate and those climate change is brought about by the accumulation of greenhouse gases in the atmosphere. One of the greatest environmental problem facing the world today is global warming caused by emission of greenhouse gases. Cabon dioxide ,which is an important constituent of environment is causing a warming effect on the earth’s surface. To save our environment, monitoring and controlling these changes is a big challenge. In terms of a long range control of CO2 emission at their source is a more desirable and effective method through preventive and control technologies. The main objective of this paper is to implement IoT to measure the CO2 emission from public transports, industries and forest fires using Raspberry pi which is sensitive to CO2. The amount of Carbon dioxide emitted is sensed continuously in a city and also finding the area which is polluted the most. Also implement a smart system for early detection of forest fires or wild fires. wild fires, are uncontrolled fires occurring in wild areas and cause significant damage to natural and human resources and the wildfires emits more CO2 gas than assumed in state climate target. These are then integrated to the IOT which is more securable and many services of can be used along with it. This would enable a Simple Notification Service (SNS) to the mobile phone if the particular area is causing higher level of CO2.

Authors and Affiliations

Dr. M. Newlin Rajkumar
CSE, Anna University Regional Campus,Coimbatore, Tamilnadu, India
Sruthi M. S
CSE, Anna University Regional Campus,Coimbatore, Tamilnadu, India
Dr. V. Venkatesa Kumar
CSE, Anna University Regional Campus,Coimbatore, Tamilnadu, India

IoT(Internet Of Things), SNS(Simple Notification Service), GVG(green vehicle guide), GPS ( Global Positioning System ), MAQUMON(Mobile Air Quality Monitoring Network)

  1. Sean Dieter Tebje Kelly, Nagender Kumar Suryadevara, and Subhas Chandra Mukhopadhyay, V olume 1 | Issue 1 | July-August 2016 | "Towards the Implementation of IoT for Environmental Condition Monitoring in Homes" IEEE Sensors Journal, Vol. 13, No. 10,2013, , pp.3846-3853.
  2. Marina Sruthi.M, Dr. L. Josephine Mary, "Smart Pollution Detection and Tracking System Embedded With AWS IOT Cloud" Volume 6, Issue 4,April 2016.
  3. R.A.Roseline, Dr.M.Devapriya, Dr.P.Sumathi, "Pollution Monitoring using Sensors and Wireless Sensor Networks : A Survey" Volume 2, Issue 7,July 2013
  4. P. Völgyesi, A. Nádas, X. Koutsoukos, and Á. Lédeczi, "Air Quality Monitoring with SensorMap," in Proc of the 7th International Conference on Information Processing in Sensor Networks, 2008, 529–530.
  5. S. Choi, N. Kim, H. Cha, and R. Ha, "Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software Issues," Sensors, vol. 9, no. 10, 2009, 7970–7987.
  6. Prachi Shahane, Preeti Godabole,"Real Time Monitoring of CO2 Emissions in Vehicles Using Cognitive IOT" Volume 5, Issue 3,March 2016.
  7. Jen-Hao Liu, Yu-Fan Chen1, Tzu-Shiang Lin1, Chia-Pang Chen, " An Air Quality Monitoring System For Urban Areas Based On The Technology Of Wireless Sensor Networks" VOL. 5, NO. 1, MARCH 2012.
  8. U.S. ENVIRONMENTAL PROTECTION AGENCY OFFICE OF MOBILE SOURCES, "Automobile Emissions: An Overview" fact sheet oms- 5,August 1994.
  9. D.Yaswanth,Dr Syed Umar , "A Study on Pollution Monitoring system in Wireless Sensor Networks" Vol 3, Issue 9, September 2013 , 324-328.

Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 284-288
Manuscript Number : CSEIT172273
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. M. Newlin Rajkumar, Sruthi M. S , Dr. V. Venkatesa Kumar, "IOT Based Smart System for Controlling Co2 Emission", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.284-288, March-April-2017.
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