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Air Quality Monitoring System Based on IOT


Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
     

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The change of ecology and the environmental atmosphere is due to different forms of chemical and industrial waste results in air pollution. Pollution affects the climate most. In the proposed work, the main aim is to identify the pollutants in atmosphere with the assistance of the Internet of Things (IoT). IoT based system will examine the air quality to identify whether it exceeds past a certain limit. MQ135 gas sensor is efficiently used for air quality analysis to detect most hazardous gases in the atmosphere. This proposed IOT based mechanism helps in continuously monitoring harmful pollution level in web page which can be viewed from anywhere. Arduino controller is used for performing the entire controller operation. Air quality measured and monitored using IoT overcome drawbacks of existing mechanism by continuous graphical variation using mobile application.


Keywords

IoT, Pollution, Air Quality, Arduino.
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  • Phala, Kgoputjo Simon Elvis, Anuj Kumar, and Gerhard P. Hancke. "Air quality monitoring system based on ISO/IEC/IEEE 21451 standards." IEEE Sensors Journal 16, no. 12, pp. 5037-5045, 2016.

  • Palaghat Yaswanth Sai: An IoT Based Automated Noise and Air Pollution Monitoring System Vol. 6, Issue 3, March 2017.

  • 1 L. Ezhilarasi, 2 K. Sripriya, 3 A. Suganya, 4 K. Vinodhini.: A System for Monitoring Air and Sound Pollution using Arduino Controller with IOT Technology Vol. 3 Issue 2 (2017) Pages 1781 – 1785.

  • Zheng, Kan, Shaohang Zhao, Zhe Yang, Xiong Xiong, and Wei Xiang. "Design and implementation of LPWA-based air quality monitoring system." IEEE Access 4, pp. 3238-3245, 2016.

  • Marinov, Marin B., Ivan Topalov, Elitsa Gieva, and Georgi Nikolov, "Air quality monitoring in urban environments", 39th IEEE International Spring Seminar in Electronics Technology (ISSE), pp. 443-448, 2016.

  • Liu, X., & Baiocchi, O. (2016, October) "A comparison of the definitions for smart sensors, smart objects and Things in IoT”. 7th IEEE Conference in Information Technology, Electronics and Mobile Communication (IEMCON), pp. 1-4, 2016.

  • Upton, Eben, and Gareth Halfacree. Raspberry Pi user guide. John Wiley & Sons, 2014.

  • Shete, Rohini, and Sushma Agrawal. "IoT based urban climate monitoring using Raspberry Pi", IEEE International Conference In Communication and Signal Processing (ICCSP), pp. 2008-2012, 2016.

  • Navreetinder Kaur, Rita Mahajan and Deepak Bagai: Air Quality Monitoring System based on Arduino Microcontroller Vol. 5, Issue 6, June 2016.

  • Exploring Arduino: Tools and Techniques for Engineering Wizardry by Jeremy Blum 1st edition.

  • Ms. Sarika Deshmukh, Mr. Saurabh surendran and Prof.M.P. Sardey: Air and Sound Pollution Monitoring System using IoT Volume: 5 Issue: 6.


Abstract Views: 398

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  • Air Quality Monitoring System Based on IOT

Abstract Views: 398  |  PDF Views: 1

Authors

P. Kaviya
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
M. Meenakshi
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
N. Miruthula
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
R. Priyanka
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
D. Faridha Banu
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India

Abstract


The change of ecology and the environmental atmosphere is due to different forms of chemical and industrial waste results in air pollution. Pollution affects the climate most. In the proposed work, the main aim is to identify the pollutants in atmosphere with the assistance of the Internet of Things (IoT). IoT based system will examine the air quality to identify whether it exceeds past a certain limit. MQ135 gas sensor is efficiently used for air quality analysis to detect most hazardous gases in the atmosphere. This proposed IOT based mechanism helps in continuously monitoring harmful pollution level in web page which can be viewed from anywhere. Arduino controller is used for performing the entire controller operation. Air quality measured and monitored using IoT overcome drawbacks of existing mechanism by continuous graphical variation using mobile application.


Keywords


IoT, Pollution, Air Quality, Arduino.

References