In an article published on 9/15 in Medical Construction & Design Magazine, Matern Professional Engineering Director of Controls Division and Senior Controls Engineer Nojan “NJ” Nowakhtar, LEED AP, WELL AP, discusses the role of dynamic alarming in uncovering system failures and efficiency losses. He provides insights into how predictive analytics, an algorithmic approach that utilizes automation platforms and AI engines to analyze system data in real-time, can predict failures before they occur.
“In recent years, though, in response to rising capital improvement costs and a desire among building owners to improve efficiency without investing in major system upgrades, a new concept known as dynamic alarming has come to the fore,” notes Nowakhtar. “Through analysis of data already available within control systems, operators can be alerted to efficiency losses or masked issues they would historically miss through the addition of only a few lines of code.”
Nowakhtar provides timely advice for business owners, building operators, maintenance teams, and designers, offering scenarios that illustrate heating, ventilation, and air conditioning (HVAC) systems, as well as building automation and control systems. He explains the benefits of leveraging advanced automation to keep a building’s spaces operational and a business’s revenue heading in the right direction with their building systems optimized.
“Predictive analytics engines use the data monitored by a building automation system to learn and model the typical behavior of each HVAC system and its components,” says Nowakhtar. “When the data indicates a deviation from what the model would expect, the system generates a notification. Building operators can then investigate and intervene before a problem occurs.”
Read the story in full, click here.