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Chiagunye, T. T.
Computer Engineering Department, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Ede, C. C.
Computer Engineering Department, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Obidiwe, T.
Computer Engineering Department, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
ABSTRACT
This paper proposes a fault-tolerant system design
approach utilizing redundancies from the integration of microcontrollers,
several air pollution sensors, General Packet Radio Service (GPRS) Modem,
Global Positioning System (GPS) module that would utilize the wireless mobile
public network to achieve the goal of applying intelligence in
monitoring and control of environmental air pollution. The measured pollutant
information was transmitted through appropriate communication channels to a
pollution server for the purpose of data mining for trend analysis,
forecasting, and Air Quality Index (AQI) assessment. Microsoft visual basic was
used to develop a data mining tool that implemented an underlying artificial
neural network model for forecasting pollutant concentrations for future time
periods.
Keywords: Flexible, Pollution, Data acquisition, Environment, Air quality
https://doi.org/10.33922/j.ujet_v7i1_17
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Published
Tuesday, June 01, 2021
Issue
Vol. 7 No. 1, June 2021
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
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