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In a world where buildings need to adapt more than ever, the ability to harness data from control systems with limited capital outlay is a real game changer for digital transformation efforts, meeting sustainability goals and continuing to deliver comfortable spaces to occupants.
While a building may have a building management system that seems capable of data extraction to the cloud, the journey from raw data to actionable insights often hits a roadblock at the device and network layer. At Buildings IOT, we believe that open and well-structured control systems are the cornerstone of analytics-friendly environments. This article will explore how to set up your control systems to produce universally usable data, paving the way for seamless analytics and improved operational efficiency.
The first step in ensuring that your controls systems produce usable data is to focus on the setup of the device and network layer. This involves configuring devices and networks to avoid generating what we colloquially refer to as "gobbly-goop"—incomprehensible or poorly formatted data that can hinder analytics.
For data to be truly usable, it must be readily available and easily accessible. This involves creating a network environment that supports open and secure data exchange.
While the primary focus is on making data usable, it's essential to understand the role of analytics in this process. Analytics transforms raw data into actionable insights, but this can only happen if the data is in a format that analytics tools can readily interpret.
Creating universally usable data from control systems is fundamental to harnessing the full potential of analytics in adaptive buildings. By focusing on the setup of the device and network layer, ensuring data availability and accessibility, and understanding the role of analytics, you can transform your control systems into powerful tools for operational excellence.
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.
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