Access to Siemens’ software and hardware provides students and researchers insight into future of smart buildings and cities
The University of Central Florida (UCF) has announced a fresh collaboration around smart infrastructure that builds on a relationship with Siemens of more than 30 years.
The expanded partnership is aimed at improving the performance and efficiency of buildings and the energy grid by harnessing the power of big data. The collaboration will include software and hardware to be installed at UCF’s Smart Infrastructure Data Analytics Lab and will incorporate Siemens existing Digital Grid Lab.
Traditional building automation that integrates and controls a structure’s operations from HVAC, lighting and security to other systems, now also includes digital mechanisms to link these systems together, gather data and analyse operations to provide better decision-making for building operators. The concept of smart buildings continues to evolve with new technology and software.
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.
Making use of Siemens’ software platforms, students and faculty will learn how to conduct in-depth research on data analytics focused on building systems.
“We look forward to partnering with Siemens to help build and shape the smart cities of tomorrow,” said Dale Whittaker, president, UCF. “Together, we will prepare our students to meet the data science workforce demands of the future and produce technology efficiencies and innovations in infrastructure and energy that will benefit our community and our nation for decades to come.”
Founded last year, Siemens’ lab will be combined with the smart infrastructure lab and will continue to focus on power grid-specific infrastructure components of the project.
UCF also intends to 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.
"UCF students gain valuable hands-on experience and industry knowledge of real-time findings that will affect how we interact with buildings and the grid in the future”
“Siemens’ long-time partnership with UCF is a win-win for all parties,” added Dave Hopping, president of Siemens Building Technologies, North America. “Siemens gets to thoroughly test its analytics platforms as well as new software prototypes for use with various applications. We will apply those learnings to advance smart buildings.”
He continued: “In turn, UCF students gain valuable hands-on experience and industry knowledge of real-time findings that will affect how we interact with buildings and the grid in the future.”
Through data analytics lab, Siemens intends to leverage data through machine learning, real-time analytics and artificial intelligence to help automate certain processes to be initiated by building systems whenever possible.
UCF students and faculty will also assist Siemens in planning, prioritising and testing various technology prototypes to accelerate the commercialisation of smart building platforms and technologies in conjunction with utility-based applications and programs.
The Smart Infrastructure Data Analytics Lab is expected to be fully operational by early 2019.
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