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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Patrick Gilhooly

Patrick Gilhooly is a Customer Onboarding Engineer at Buildings IOT and a member of the OAP working group and advisory council. Patrick is based out of Ontario, Canada, and a graduate of the University of Waterloo. Before joining Buildings IOT, Patrick held project engineering positions at Bombardier Inc, SAP, and HTS Engineering.

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

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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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Strong Data Modeling Approaches and the Benefits They Offer Your Building

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Patrick Gilhooly

In smart buildings, devices, software, and building equipment must work together seamlessly. This requires unifying several naming and tagging standards currently used for building automation. While a seemingly simple issue, many data modeling approaches create roadblocks to real-world application of building data. But there is a better way. The Ontology Alignment Project lets you harness the full potential of building data, allows smart solutions to evolve and grow, and supports better performance and efficiency.

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How IoT Relies on Data Normalization in Smart Buildings

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Patrick Gilhooly

The Internet of Things (IoT) is transforming built structures into energy-efficient environments that enhance the experiences of those who occupy them. This goes beyond mere comfort control or cost-cutting. Digital environments enhance the operational efficiency, energy savings, comfort, and health of building owners, managers, and occupants. Smart buildings connect people, support collaboration, and increase productivity while conserving resources. To make this possible, data must be standardized and flow efficiently through gateways with sufficient capabilities and capacity.

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