Title

Real-Time Display of Carbon Dioxide Contents at Local, National, and Global Levels

Lead Author Major

Computer Engineering

Lead Author Status

Senior

Second Author Major

Electrical Engineering

Second Author Status

Senior

Third Author Major

Electrical Engineering

Third Author Status

Senior

Fourth Author Major

Computer Engineering

Fourth Author Status

Senior

Fifth Author Major

Engineering Physics

Fifth Author Status

Senior

Format

SOECS Senior Project

Faculty Mentor Name

Rahim Khoie

Faculty Mentor Department

Electrical and Computer Engineering

Abstract/Artist Statement

We intend to use an automated, hybrid system using a kiosk, website, and sensor network to record CO2 levels. With that information, we look to further bring awareness to the average person about what these values mean and how to remain better informed about how this affects the environment. This is done with BASH and Python scripts to gather data through wireless communication with our nodes. Both devices use the XBee antenna which allows us to use different wireless protocols (802.15) for better signal strength and greater efficiency. This information is sent to the Kiosk and then uploaded to our web repository. This web repository also engages in 'web scraping' where it then proceeds to pull information from government websites like the Energy Information Administration (EIA) and the National Oceanic and Atmospheric Administration (NOAA.) This allows us to provide both a local and global dataset about CO2 conditions. Finally, we made strides to make sure that our design was as environmentally friendly as possible in the parts we selected and by making sure all systems could operate entirely on solar power.

Location

School of Engineering & Computer Science

Start Date

7-5-2022 2:30 PM

End Date

7-5-2022 4:00 PM

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May 7th, 2:30 PM May 7th, 4:00 PM

Real-Time Display of Carbon Dioxide Contents at Local, National, and Global Levels

School of Engineering & Computer Science

We intend to use an automated, hybrid system using a kiosk, website, and sensor network to record CO2 levels. With that information, we look to further bring awareness to the average person about what these values mean and how to remain better informed about how this affects the environment. This is done with BASH and Python scripts to gather data through wireless communication with our nodes. Both devices use the XBee antenna which allows us to use different wireless protocols (802.15) for better signal strength and greater efficiency. This information is sent to the Kiosk and then uploaded to our web repository. This web repository also engages in 'web scraping' where it then proceeds to pull information from government websites like the Energy Information Administration (EIA) and the National Oceanic and Atmospheric Administration (NOAA.) This allows us to provide both a local and global dataset about CO2 conditions. Finally, we made strides to make sure that our design was as environmentally friendly as possible in the parts we selected and by making sure all systems could operate entirely on solar power.