Dame Alice Owen's School
For our project, we decided to create and program a functional air pollution detector in the form of a handheld device. It lets people plot pollution levels on an hourly map to provide detailed information to the public and researchers. This could allow authorities to focus efforts to improve sustainability and reduce emissions on the most affected areas. It also provides a simple reference point for research scientists to observe how pollution levels change over time. On top of this, it would raise awareness among the public around the prevalence of pollution.
The Raspberry Pi was integral to our project as we used it to receive input values from the air quality detector and location inputs via Bluetooth from handheld devices. It also sends this data to a web server to plot a map of air pollution values.
We wired the detector to the Raspberry Pi and programmed it to receive inputs every two seconds, which were written to a text file and stored temporarily before being sent online to a Python web server, where the data was translated into a visual map for informational use.