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Internet of Things (IoT) based Air Pollution Monitoring in Kaduna, Nigeria
Conventional approach to air pollution monitoring using tempo-spatial measurements with instruments and air quality meters is cumbersome, stressful and unable to offer continuous monitoring. An Internet of Things (IoT) – based air pollution monitor using low cost micro-scale sensing technology was designed and developed. This system is convenient, cost effective and offers round the clock monitoring. The IoT-based air pollution monitoring system comprises of a sensor node, microcontroller (MC), internet gateway and a cloud server. Data is transmitted to ThingSpeak cloud server through HTTP command. The results are displayed on ThingSpeak webpage and remotely accessed. Three separate hardware devices were developed and deployed in three different locations within Kaduna city. These areas are Kakuri industrial layout, Ahmadu Bello way commercial center and Gonin Gora residential area. The results from these locations which are remotely assessed, indicated that the developed devices offer continuous monitoring of air pollution with minimal human intervention. Furthermore, using percentage difference, the results from the IoT – based air pollution monitor are compared with those of conventional air quality meters and found to be accurate with a tolerance value of +5%.
Keywords
Air pollution, Monitoring, Internet of Things, Kaduna
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- N. Afshar-Mohajer, C Zuidema, S. Sousan, L. Hallett, M. Tatum, A. M. Rule, G. Thomas, T. M. Peters and K. Koehle, “Evaluation of Low-cost Electro-Chemical Sensors for Environmental Monitoring of Ozone, Nitrogen Dioxide and Carbon Monoxide”, J Occup Environ Hyg, 15(2):87 – 89, 2019
- IBM, “Internet of Things Architecture”, https://www.ibm.com/cloud/architecture/iotArchitectures/ retrieved December 3, 2021.
- B. Veena, M. Lakshmipathy, D. Jayakumar, G. N. Kodandaramaiah, “An IoT based Air and Sound Pollution Monitoring System, Journal of Critical Reviews, 7(6): 1858 – 1863, 2020
- C. McClelland, “IOT Explained – How does an IoT System Actually Work”, 2017, https://medium.com/iotforall/iot-explained-how-does-an-iot-system-actually-work-e90e2c435fe7 assessed June 15, 2021
- Steve, “The Internet of Things (IoT) for Beginners”, 2020, https://www.steves-Internet-guide.com/Internet-of-Things/ , assessed June 15, 2021
- K. K. Patel & S. M. Patel, “Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application and Future Challenges, International Journal of Engineering Science and Computing, 6(5), 2016
- S. Meivel, M. Mahesh, S. Mohnish, M. Pandian, “Air Pollution Monitoring System using IOT and Artificial Intelligence, International Journal of Modern Agriculture, 10(2): 3085 – 3089, 2021
- R. M. Olalekan, A. Z. Olalekan, O. O. Emmanuel, T. K. Samson, A. B. Sunday & O. T. Jide. “Impact of Sawmill Industry on Ambient Air Quality: A Case Study of Ilorin Metropolis, Kwara State, Nigeria,” Energy and Earth Science, 3(1):1 – 25, 2020
- D. Edokpa, B. Diagi & P. Nwaerema, “An Assessment of Ground Level Criteria Pollutant Concentrations in Port Harcourt City, Nigeria” International Journal of Pollution Research, 2019.
- Sensortech, “MiCS-6814 Datasheet”, https://www.sgxsensortech.com/content/uploads/2015/02/1143_Datasheet-MiCS-6814-rev-8.pdf
- L. A. Ajao, J. Agajo, J. G. Kolo, D. Maliki & M. A. Adegboye, “Wireless Sensor Network based Internet of Things for Agro – Climatic Parameters monitoring and Real – Time Data Acquisition”, Journal of Asian Scientific Research, 7 (6) 240 – 252, 2017
- Cuemath, “Percent Difference Formula”, https://www.cuemath.com/percent-difference-formula/ assessed October 3, 2021
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