Proving the Business Case for the Internet of Things

Dell and Intel to work on making buildings more energy efficient

Iain Morris
June 24, 2014
 
Computer giants Dell and Intel have unveiled plans to collaborate on the development of smart building M2M services that would allow building owners and operators to massively reduce their energy costs.

The two players have outlined a vision of a future in which automated building systems will make real estate more “profitable” and energy efficient.

“This new way of thinking about architecture – overlaying an IT network, connecting all traditionally unconnected equipment, and analyzing and controlling business processes without human intervention – will lead to much better managed assets, which translates to happier occupants and improved finances,” said Glenn Wintrich, the innovation leader for Dell’s (Round Rock, TX, USA) chief technology officer office.

“This roadmap and productization for the smart buildings market segment is just the beginning of Dell’s service offerings,” he added. “Look for more to come on IoT and building automation in the future.”

Intel (Santa Clara, CA, USA) says its own views about the Internet of Things align well with those of Dell and that its gateway solutions are already being used in smart buildings to save energy, resources and time.

Dell has outlined a series of recommendations for organizations that are interested in the smart building trend.

These include using non-proprietary open reference architecture, taking into account existing infrastructure as well as the types of connected systems the organization wants to create.

Dell also advises organizations to provide a software development kit (SDK) for the architecture so that teams can develop software across disparate systems.

“A great reference point to develop an SDK is to break the systems up along the lines of automation and analyze the data,” it said in a statement.
Smart building systems work partly by making automatic adjustments to heating, ventilation and air conditioning according to analysis of various parameters, such as outside air temperature and the number of people within the facility.
 
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