An Autonomous Air Pollution Monitoring System using IOT and Cloud
N. Susila1, Esther Daniel2, S. Durga3
1Dr.N.Susila, Dept of Information Technology, Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore – 641 008, Tamil Nadu, India.
2Esther Daniel, Dept. of CSE, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
3S. Durga, Dept. of CSE, Karunya Institute of Technology and Sciences, Coimbatore,Tamil Nadu, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7220-7223 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5272118419/2019©BEIESP | DOI: 10.35940/ijrte.D5272.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Air pollution and its impact in the oceans and the terrain are in need of attention since it causes adverse effects in livelihood. Air pollutants identified so far produce destructive impacts to the human beings and the environment as well. The increase in toxic level reduces the capacity of the oceans to produce required oxygen which is a deteriorating factor. According to a recent report released by World Health Organization. 9 out of 10 people breathe the polluted air. Hence an efficient solution to monitor and control the air pollution is required. Recent trends in Internet of Things had helped in employing different gas sensors in order to identify the air pollutant levels. In this paper, it is proposed to develop a low cost system for efficient pollution monitoring and controlling. Integrated Internet of Things technology with Cloud services are employed to enable the effective services. Microsoft Azure’s cloud services are used to store the inferred data which is used for further communication. The pollutant’s toxicity level is identified and the system is alerted in order to control the air pollution. The system also uses the GSM / GPS module to track the location of high sensitivity within the selected zone. The toxic level of each type of pollutant is assessed. The main objective of the proposal is to observe, alert and control the air pollution.
Keywords: Air Pollution, Internet of Things, Air Quality Index (AQI), Cloud Computing.
Scope of the Article: Cloud Computing.