School of Engineering, Applied Science and Technology

Permanent URI for this community

http://hdl.handle.net/20.500.12519/564

Browse

Browsing School of Engineering, Applied Science and Technology by Author "Al Hitmi, Mohammad Abdullah"

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform
    (ASTES Publishers, 2020-12) Tariq, Hasan; Abdaoui, Abderrazak; Touati, Farid; Al Hitmi, Mohammad Abdullah; Crescini, Damiano; Mnaouer, Adel Ben
    Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient-aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter (2.5), ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality monitoring for the chosen geo-spatial cluster (Qatar University). © 2020 ASTES Publishers. All rights reserved.