True Analytics™ - Energy Savings, Comfort, and Operational Efficiency
|The Edge is Here. It’s Here Now. Part 2
Analytics & Learned Actions Move to the Edge
Chief Communications Officer,
Vice President, Marketing
I wrote about how the Edge is contributing to a significant shift in
the way we are acquiring information, interacting with it, and making
Continuing this theme, this evolution has been enabled, in large part, by rapid advances in lower-cost controllers, open source software, powerful processors -and the world of IoT. This combination is also changing our BAS landscape to support a decentralized architecture where analytic processing can be done at the edge. This evolution is also changing the execution of analytics and machine learning's location.
With more devices at the edge comes more data that has the potential to provide enhanced insights into how we manage and operate facilities. At the same time, it also presents a new challenge for how to analyze it all. Collecting and compiling this data benefits no one unless there is a way to understand it all. Making sense of huge amounts of data is a perfect application for learned actions.
applying analytics to machine learning at the edge, we can identify and
understand patterns, make more informed decisions and initiate action.
This leads to a variety of benefits for building operators and system
integrators such as proactive intervention, intelligent automation, and
highly personalized experiences. It also enables us to find ways for
these devices to work better together, make building automation systems
easier to use, extend the lifetime value of the equipment within these
systems and deliver a more personalized environment for occupants.
analytics and machine learning can enable autonomous improvements to
operations within a facility — including heating, cooling, and
lighting. For example, we can identify and automatically act upon usage
patterns in a building space such as recognizing specific patterns
ranging from people in the room, room temperatures to controlling
lights on and off when someone enters or leaves.
Although we are in the very early stages of
analytics and machine learning when it comes to the edge, it is
beginning to gain traction. I think James McHale,
Managing Director at Memoori has said it best, “ It has long been clear
that AI technology represents the future in building automation and
beyond, but in the present, building performance software is helping
humans improve automation while also nurturing its eventual successor –
Integrating analytics and machine learning at the edge level is becoming a prerequisite for today’s IoT-enabled buildings.
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