Mortar is in Alpha! Please subscribe to the mortar-users mailing list for updates and announcements
Access to large amounts of real-world data has long been a barrier to the development and evaluation of analytics applications for the built environment. Open data sets exist, but they are limited in their span (how much data is available) and context (what kind of data is available and how it is described).
The goal of Mortar is to provide a large, diverse and consistently updated testbed of buildings and building data to facilitate reproducible evaluation of building analytics.
At this time, Mortar contains 107 buildings, spanning over 10 billion data points and 26,000 data streams. Context for these data streams is provided by a Brick model. The Brick model describes for each building: (1) what data streams exist and what they measure, (2) what equipment exists and how it is monitored, (3) the relationships between equipment in terms of flows, composition and location.
If this is your first time to Mortar, please make an account.
An interactive in-browser tutorial for Mortar is available here.
The interactive Brick query builder is a convenient place to start experimenting with the Brick metadata model.
Documentation can be found here. Keep in mind it is a work in progress!
The Mortar Analytics Library is an open-source repository of building data analytics built using Mortar. Feel free to use them and improve upon them by submitting changes (or your own analytics) with a pull request.
Mortar: An Open Testbed for Portable Building Analytics [pdf]. Gabe Fierro, Marco Pritoni, Moustafa AbdelBaky, Paul Raftery, Therese Peffer, Greg Thomson, David E. Culler. 5th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), Shenzhen, China, November 2018.