Data Analytics & Smart Building Science Articles | Buildings IOT Blog

Our data analytics and building science articles will keep you up-to-date with the latest smart building trends & tips.

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Developing a Data Ontology Framework for an Intelligent Building Management System

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Jon Schoenfeld

As more buildings become smart, there is a growing need for standardized semantic data models that allows for better data use. The goal of using common data models is to enable a better understanding of a smart building’s data in a continuously changing environment. A robust data ontology framework makes this possible and allows your building management system to become truly intelligent.

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Common Building Data Infrastructure Challenges and How to Overcome Them

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Patrick Gilhooly
OAP

Data infrastructure can be thought of as a network of roads along which data travels. Poor infrastructure is like trying to drive on roads with missing street signs, toll booths, traffic lights that don’t work, dilapidated bridges, and random roadblocks. These obstacles can make traffic grind to a halt, or even get lost on the way to its destination.

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The Importance of Data Tagging Standards for Smart Buildings

Image of Patrick Gilhooly
Patrick Gilhooly
OAP

Smart buildings require communication. Open-source data tagging standards make that communication seamless and ensure interoperability of components, regardless of who developed the software or manufactured the devices. Introducing standard ways in which to describe various elements within a building, along with their relationships to each other, makes integration of new technologies easier—and more useful—than ever before.

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