If you’ve been paying attention to buzzwords in the building maintenance world, chances are you’ve heard of Predictive Maintenance. In recent years, the term has risen to prominence in the industrial and manufacturing sectors regarding industrial equipment. However, the term’s implications are much broader than that. As the Internet of Things (IoT) expands across the entirety of the built environment sector, predictive maintenance is paving the way to revolutionizing how we address the maintenance needs of building systems and equipment.
Gina Elliott is Chief Services Officer with Buildings IOT where she oversees the customer onboarding, digital services, and customer success. Gina has held positions with Schneider Electric, EasyIO, and Switch Automation. She has been recognized in the industry as Person of the Year nominee (2017), 100 People You Should Know, Women of the Year and 2018 nominee for The Power 100: The Most Powerful Women in the Channel and 2019 winner of ControlTrend's Small Business Executive of the Year.
Though a majority of large commercial buildings deploy a conventional building management system (BMS), they fail to become more energy-efficient owing to the poor control technology of the BMS. The simple logic governing the control technology of a standard BMS also makes it challenging to strike the right balance between ensuring tenant comfort and optimizing energy consumption.
Data-driven smart technology has tremendous benefits for the people who own, manage, maintain, and occupy commercial buildings. But OEMs and PropTech also have much to gain from data infrastructure monitoring and alerting. And it begins with secure integration.