The University of Central Florida (UCF) and Siemens entered into a new big data collaboration on smart infrastructure aimed at improving the performance and efficiency of buildings and the energy grid by harnessing the power of data. The collaboration will include software and hardware to be installed at UCF’s Smart Infrastructure Data Analytics Lab and will incorporate the existing Siemens’ Digital Grid Lab. The facility is expected to be fully operational in early 2019. The new collaboration builds on a more than 30-year relationship.
Siemens will integrate its MindSphere cloud-based IoT operating system, Navigator building data analytics platform, Desigo CC building management station, and other building automation hardware into the Smart Infrastructure Data Analytics Lab’s facilities and corresponding building automation management systems. Using Siemens software platforms, students and faculty will learn about ways in which to conduct in-depth research on data analytics focused on building systems.
Founded in 2017, Siemens’ Digital Grid Lab will be combined with the Smart Infrastructure Lab and will continue to focus on power grid-specific infrastructure components of the project. UCF will also work with local utilities that serve both the campus and the surrounding communities to collect utility consumption and related weather data as well as operational and planning data for their power distribution systems. Using Siemens software platforms, students and faculty will learn how to conduct in-depth research on data analytics focused on building systems.
Through the Smart Infrastructure Data Analytics Lab, Siemens will leverage data through machine learning, real-time analytics and AI to help automate certain processes to be initiated by building systems whenever possible. UCF students and faculty will also assist Siemens’ work.