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Internet of Things (IoT) Based Real-Time Pollution Monitoring System for Awka Metropolis

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Internet of Things (IoT) Based Real-Time Pollution Monitoring System for Awka Metropolis

Obodoeze Fidelis C. | Nwabueze Chris A. | Akaneme Silas A.

Obodoeze Fidelis C. | Nwabueze Chris A. | Akaneme Silas A. "Internet of Things (IoT) Based Real-Time Pollution Monitoring System for Awka Metropolis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1, December 2021, pp.1513-1523, URL: https://www.ijtsrd.com/papers/ijtsrd48038.pdf

Internet-of-Things (IoT), the interconnected networks of millions of smart and intelligent objects, machines, sensors, actuators have evolved in solving myriads of problems in different human domains. Of recent is the proliferation of IoT paradigm in environmental monitoring systems such as air and sound quality of smart cities. Sensors can be used to monitor the thresholds of air pollution in an environment in real time in such a manner that the real-time data from the environmental sensors can be transmitted directly to an online internet cloud server and then to end-users via desktop computers or mobile devices. This will enable citizens and city administrators to know when thresholds of air pollution are exceeded that are dangerous to health of the inhabitants of the city. In this paper a real-time air and sound pollution monitoring system was designed using an open source system known as Smart Citizen Kit (SCK) which allows citizens in different countries of the world to monitor their environments for air and sound pollution levels in order to determine the air quality and concentration of pollutants that exceeds the benchmark thresholds that are harmful to human health and environment via an intelligent real-time cloud-based server or station. The various air pollutants such as particulate matters (PM1.0, PM2.5 and PM10) as well as green house gas carbon dioxide (CO2), Total Volatile Organic Compounds (TVOCs) such as organic gases, benzene, toluene, etc. as well as weather or meteorological parameters such as air temperature, biometric pressure (BP), relative humidity (RH) and light intensity (LI). The system has the capability to capture sensor readings/dataset online and stored in flash memory, SD card and can be retrieved as historical dataset in .CSV format for further machine learning modeling and statistical analysis. The system was deployed outdoor and experimental and implementation results showed that the proposed IoT based pollution monitoring solution produced reasonable sensor readings for different locations within Awka Metropolis. The maximum Relative Humidity (RHMAX=86.81%), minimum Relative Humidity (RHMIN =29.13%), Average Relative Humidity, RHAVG = 71.68% while Air Temperature (AT) readings give maximum AT (ATMAX=56.86 OC), minimum AT(ATMIN=25.35OC, average AT (ATAVG=31.91OC). For Barometric Pressure (BP) sensor readings: maximum BP, BPMAX=100.91KPa, minimum BP, BPMIN=100.31KPa and average BP, BPAVG=100.59 KPa. Equivalent Carbon dioxide (eCO2) readings give maximum value=2506 PPM, minimum eCo2=400 PPM and average eCO2=644.01 PPM. For Total Volatile Organic Compounds emission (TVOC), the maximum reading=1794 PPB, the minimum value =0 PPB and the average value=48.1696 PPB. For Light intensity, the maximum value is 50,700 lux, the minimum value is 0 lux and the average value is 2305.73 lux. For particulate matter emissions, PM1, the maximum value is 41µg/m3, the minimum value is 0 µg/m3, the average value is 5,192µg/m3. .Particulate matter emission PM2.5, the maximum sensor reading is 72µg/m3, the minimum sensor reading is 0 µg/m3 and the average sensor reading is 8.490µg/m3.. The particulate matter emission PM10, the maximum, minimum and average sensor readings are respectively 76µg/m3, 0µg/m3 and 9.542µg/m3. The sensor readings for Noise pollution are 90.47 dB, 35.91dB and 50.58dB respectively.

Sound pollution, Air pollution, Real-time, PM1.0, PM2.5, PM10, TVOC, CO2, Light intensity

Volume-6 | Issue-1, December 2021
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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