Page 51 - RC21 EDGE Summer Issue

New Ways to Integrate
Now, the development of new cloud-based AI is reducing the hardware footprint needed for integration. These AI software applications require only a gateway that links a control platform such as the BMS to the internet by either direct or cellular/wireless connection. The cloud connection is capable of integrating to
all the control platforms of a building, campus or
even a nationwide portfolio, performing all of the AI functionality of an integrated smart building system, but without the hardware footprint.
In addition, MSIs are applying AI to assist in the integration. Once the building is connected to the service provider’s cloud system, the integrated system essentially creates itself. This self-creation includes auto-tagging points (with 80%+ accuracy) in accepted formats such as Haystack, Brick Schema, Google Digital or others, or in a format requested by the user. The automated integration process then continues
on to create a data lake for those points and learn
the system’s control sequences and other connected platforms, while creating data points for tracking and optimization. External data connections that can track weather, utility rates, occupancy and calendar data and more can be added. With this plethora of data, the new integration package can better understand how the system functions and predict its performance.
“Integrating platforms is no longer a ‘plug and pray,’ but truly plug and play,” said Rick Martin, vice president of Smart Building Solutions at Albireo Energy, a leading smart building integration company. “What before required the work of highly educated IT experts is today a matter of plugging in the device and giving it an IP address.”
AI and Cloud Computing
What is the technology behind this improved integration? Corey Perdue, CEO of Datakwip, a provider of cloud- based software for building analytics, explained, “The development of powerful AI for building systems, combined with the evolution of cloud computing as a commodity and the continued increase in processing
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The process of integrating control platforms into a smart building system has become easier because increased use of deep learning analytics, or AI, and cloud computing software in building applications have been streamlined.
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