IoT-Based Real Time Air Pollution Monitoring System

IoT-Based Real Time Air Pollution Monitoring System

Cynthia J. (Kumaraguru College of Technology, Coimbatore, India), Saroja M.N. (Kumaraguru College of Technology, Coimbatore, India), Parveen Sultana (VIT University, Vellore, India) and J. Senthil (Kumaraguru College of Technology, Coimbatore, India)
Copyright: © 2019 |Pages: 14
DOI: 10.4018/IJGHPC.2019100103
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Humans can be adversely affected by exposure to air pollutants in ambient air. Hence, health-based standards and objectives for a number of pollutants in the air are set by each country. Detection and measurement of contents of the atmosphere are becoming increasingly important. Careful planning of measurements is essential. One of the major factors that influence the representativeness of data collected is the location of monitoring stations. The planning and setting up of a monitoring station are complex and incurs a huge expenditure. An IoT-based real time air pollution monitoring system is proposed to monitor the pollution levels of various pollutants in Coimbatore city. The geographical area is classified as industrial, residential and traffic zones. This article proposes an IoT system that could be deployed at any location and store the measured value in a cloud database, perform pollution analysis, and display the pollution level at any given location.
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2. Background

Case study of NO2 distribution in (Martin, 2008) and an auto calibration system keeping the measurement accuracy of sensor system in long term operation, considers factors such as resistance of gas sensor and temperature and humidity measurements to adjust the value of measurement for accuracy. In the paper (Devarakonda et al., 2013) authors proposes the relationship between the ambient temperature and the resistance of the gas sensor in Equation 1:

(1) where R Resistance in clean dry air and T is ambient Temperature, Ra and b are constants.

The relationship between the baseline resistance and the relative humidity is described in Equation 2:

(2) where RT is room temperature and H is humidity.

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