An Integrated Model of IoT and Cloud for Detecting Green House Gas Emissions
Jeberson Retna Raj1, T. Sasipraba2

1Jeberson Retna Raj, Department of Information Technology, School Sathyabama Institute of Science and Technology, Chennai, India.
2Sasipraba, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India

Manuscript received on 08 August 2019 | Revised Manuscript received on 14 August 2019 | Manuscript published on 30 August 2019 | PP: 3893-3896 | Volume-8 Issue-10, August 2019 | Retrieval Number: J99030881019/19©BEIESP | DOI: 10.35940/ijitee.J9903.0881019
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Abstract: Chennai is one of the oldest metropolitan city in India which consists of 15 zones and more than 200 wards. Chennai has the population of more than 8 million people and more than 20 tons of garbage collected and dumped into the two of the dumpyards Kodunkaiyur and Perungudy. These two dumpyards are catering the needs of the garbage and landfills collected from these zones, in which they are used to burn and disposed. The burning of waste is resulted into emission of higher amount of CO2. The decayed waste is one of the source for generating Methane and other greenhouse gases. This is dangerous for human lives and affects the environment. There is no such system has available to detect the CO2 and CH4 level automatically at these dumpyards. If a system automatically detects the level of CO2 and CH4 and make it available in a public domain, it will be helpful to the city administration to take the precautionary steps. Therefore, the need of the hour is to design a cloud enabled IoT based system to monitor the level of CO2 and CH4 and upload these data in the cloud for further processing. The sensor is installed in 20 of different places of these two dumpyard for monitoring the level of CO2 and CH4. The data is collected and uploaded in the cloud. The open source cloud platform Openstack is used to store all the recorded data into the cloud. The webpage is designed and the sensed data is available for public use. The system is successfully implemented and tested, and the test result is promising.
Keywords: Green House Gas, IoT, Openstack Cloud.
Scope of the Article: IoT