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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Air pollution monitoring system for smart city

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    11121020,12321023,12201039,12201006_CSE.pdf (1.905Mb)
    Date
    2018
    Publisher
    BRAC Univeristy
    Author
    Khan, Md. Hasib Bin Hossain
    Rahman, Raihan Ur
    Arafat, Md. Yeasin
    Jony, M. A. Nayem
    Metadata
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    URI
    http://hdl.handle.net/10361/11023
    Abstract
    Where pollution has become a major problem around the world, air pollution is the most dangerous, shocking and severe pollution among other pollutions e.g. water pollution, soil pollution, noise pollution, light pollution, thermal pollution etc. Air pollution is the major cause of diseases like asthma, cancer, bronchitis, birth defects and immune system like diseases. This system implements the combination of an android app, server, gas sensors (CO2, CO, LPG, and CH4) to sense the air quality of the environment and shows the real condition of air. Solving the draw backs of existing air quality sensors this device can be used to monitor various gasses at a time. The most demanding thing would be this system will give the real time data and will show the quality of the air based on the standard air quality. The system will give the user the indication of the air quality and based on given parameters it will let the user know how much the environmental air is polluted or safe. This system will do everything on behalf of human in such a way that for a smart city when people will have less time for spending and there will be more industry and air will be more polluted this device will let people know how safe the air is. The goal is to make the system as reasonable as possible so that people from every society background can use this and if some research organization wants to do further research then if some nominal amount of money is invested then it would be a great solution to install a weather station thus air quality monitoring system.
    Keywords
    Air pollution; Monitoring system; Smart city; IoT; Real time graph; Android application; Pollution parameter; Real time data
     
    LC Subject Headings
    Air--Pollution--Measurement.; Urban climatology.; Air--Pollution.
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 48).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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