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    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    Air pollution monitoring system using unmanned aerial vehicle in Bangladesh

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    16121104, 16121113, 16121053, 16121080_EEE.pdf (2.244Mb)
    Date
    2019-12
    Publisher
    Brac University
    Author
    Al-Farabi, Md.
    Chowdhury, Muntasir
    Hossain, Md. Rafat
    Readuzzaman, Md.
    Metadata
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    URI
    http://hdl.handle.net/10361/13735
    Abstract
    Over the last few decades, the main minacious and dodgy calamity that grab the world’s attention is “Greenhouse Effect”. It is evident that Carbon dioxide, methane, nitrous oxide, fluorinated gasses and water vapor are the common phenomenon causing this disaster. These gasses remain in the atmosphere causing the temperature to rise as the sunlight can pass through the ozone layer, but they can’t go back and trap inside the earth atmosphere. Being great concern to the future world, this proposal emphasizes on collecting data from the atmosphere and predicting future temperature and amount of gasses with the help of an Unmanned Aerial Vehicle (UAV) system. This system is designed as a comprised of sensors and database system. With the help of the drone which carries humidity sensor DHT11, gas sensors MQ2, MQ7, MQ135 along with temperature sensor TCH11, TCH22. The data that is needed for the further prediction will be collected by the help of these sensors. Node MCU will also be used. It will relate to Arduino Nano. With the help of Wi-Fi system all the data will be stored into a server. Based on the data, real-time graph for individual aspects will be plotted in an interface for better visualization, which will be helpful for monitoring and analysis. For the future prediction regression model is chosen and suggested values are compared. From the collecting values, if difference is much higher along with crossing the safe threshold limit. This proposal aims to identify the impact of “Green House” in a region and claims to raise awareness.
    Keywords
    Green house effect; Linear regression analysis; UAV; NodeMCU; Gas sensors
     
    LC Subject Headings
    Air--Pollution; Vehicles, Remotely piloted
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 51-53).
    Department
    Department of Electrical and Electronic Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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