A system for monitoring air pollution at Roskilde train station. Mandatory school project on 3rd semester of Computer Science course at Erhvervsakademi Sjælland.
- current air pollution display, i.e. concentration of SO2, NO2 and CO
- calculation of current air quality index
- tables showing all gathered data and data from last week
- graphs visualizing the changes in gas concentration
- train schedule for Roskilde St. with AQI measurement corresponding to train departure
- warning e-mails, sent when air pollution could be harmful
The system's architecture is built according to the project requirements and consists of several components:
- Website built with PHP, Symphony and Chart.js, serving as a front-end for the users and allowing them to see the gathered data
- Microsoft SQL server database holding all the readings
- RESTful Web API created with ASP.NET which acts as a bridge between the website and the database by serving the data in JSON format
- Raspberry Pi, used for gathering the data and posting it to the Web API
- OpenAQ API, source of pollution readings (replacement for RPi sensor)
- Rejseplanen API, to get train departures at Roskilde St.