Our project was to take Carleton's existing system and format it in a way so as it can be more accessible to students, projects, and future comps. We did this through organizing and understanding data, creating a centralized database and api, creating a visualization in the form of a dashboard, and analyzing some of the data going through our system.
We turned points that are named like MC02ZT into points named like Room Temperature in the 2nd Calculus Room in the CMC.
We have a database with over 3 million point values stored in it, all appropriately taxonified thanks to a rigorous database structure.
We created an API to allow client apps consistent access to our data and to abstract away the details of querying our database.
We created a dashboard with tools like a heatmap and automated anomaly deteciton to help facilities rapidly detect and respond to problems.
We did experimental data analysis using tools like decision trees, association rules, and k-means clustering to gain greater insight into the data.
We created a solid base for future researchers to delve more deeply into the data with new analysis tools and dashboard widgets.
