Air pollution monitoring system using unmanned aerial vehicle in Bangladesh
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019.
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Brac University
2020
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| Dostęp online: | http://hdl.handle.net/10361/13735 |
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10361-137352020-02-05T21:01:16Z Air pollution monitoring system using unmanned aerial vehicle in Bangladesh Al-Farabi, Md. Chowdhury, Muntasir Hossain, Md. Rafat Readuzzaman, Md. Sabuj, Saifur Rahman Department of Electrical and Electronic Engineering, Brac University Green house effect Linear regression analysis UAV NodeMCU Gas sensors Air--Pollution Vehicles, Remotely piloted 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). 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. Md. Al-Farabi Muntasir Chowdhury Md. Rafat Hossain Md. Readuzzaman B. Electrical and Electronic Engineering 2020-02-05T05:40:17Z 2020-02-05T05:40:17Z 2019 2019-12 Thesis ID 16121104 ID 16121113 ID 16121053 ID 16121080 http://hdl.handle.net/10361/13735 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 53 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Green house effect Linear regression analysis UAV NodeMCU Gas sensors Air--Pollution Vehicles, Remotely piloted |
| spellingShingle |
Green house effect Linear regression analysis UAV NodeMCU Gas sensors Air--Pollution Vehicles, Remotely piloted Al-Farabi, Md. Chowdhury, Muntasir Hossain, Md. Rafat Readuzzaman, Md. Air pollution monitoring system using unmanned aerial vehicle in Bangladesh |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019. |
| author2 |
Sabuj, Saifur Rahman |
| author_facet |
Sabuj, Saifur Rahman Al-Farabi, Md. Chowdhury, Muntasir Hossain, Md. Rafat Readuzzaman, Md. |
| format |
Thesis |
| author |
Al-Farabi, Md. Chowdhury, Muntasir Hossain, Md. Rafat Readuzzaman, Md. |
| author_sort |
Al-Farabi, Md. |
| title |
Air pollution monitoring system using unmanned aerial vehicle in Bangladesh |
| title_short |
Air pollution monitoring system using unmanned aerial vehicle in Bangladesh |
| title_full |
Air pollution monitoring system using unmanned aerial vehicle in Bangladesh |
| title_fullStr |
Air pollution monitoring system using unmanned aerial vehicle in Bangladesh |
| title_full_unstemmed |
Air pollution monitoring system using unmanned aerial vehicle in Bangladesh |
| title_sort |
air pollution monitoring system using unmanned aerial vehicle in bangladesh |
| publisher |
Brac University |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10361/13735 |
| work_keys_str_mv |
AT alfarabimd airpollutionmonitoringsystemusingunmannedaerialvehicleinbangladesh AT chowdhurymuntasir airpollutionmonitoringsystemusingunmannedaerialvehicleinbangladesh AT hossainmdrafat airpollutionmonitoringsystemusingunmannedaerialvehicleinbangladesh AT readuzzamanmd airpollutionmonitoringsystemusingunmannedaerialvehicleinbangladesh |
| _version_ |
1814308961960067072 |