Data Analytics & Smart Building Science Articles | Buildings IOT Blog

Imagine you’re an Ivy League university with a sprawling campus. Across acres of historical land, numerous buildings serve many needs of students, faculty, staff, and your surrounding community. The rich history of your prestigious institution and the promise of an exciting future of innovation are on full display throughout your campus as historical landmarks and cutting-edge facilities paint a modern picture of one of the world’s greatest academic institutions. Within these buildings are technologies and monitoring tools that range from legacy systems to state-of-the-art Internet of Things (IoT) innovations.

With all the advancements of technology today – quantum computing, blockchains, robotics, and, let’s not forget, smart baby diapers – the matter of making a building both intelligent and sustainable should be trivial. At this point in the smart building evolution, there are no breakthroughs required; the technology is there and has been for decades.

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If you’re reading this article, chances are you’re considering implementing a predictive maintenance program. You have probably read about what predictive maintenance is, and you’ve most likely explored the benefits of predictive maintenance. Now, you’re likely considering what steps you’ll need to take to implement such a program. The first step, however, is to understand the challenges of implementing an effective predictive maintenance strategy so that you can devise a plan to overcome them.

In recent years, the term Predictive Maintenance has risen to prominence in a number of industries such as manufacturing and automotive. With the advent of the Internet of Things (IoT) technologies, proactive maintenance – which includes predictive and preventive measures – has become a core pillar of the Industrial 4.0 revolution.

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.

Energy has always been a significant expense in commercial buildings and improving energy efficiency with Energy Management efforts has long been an important way to keep costs in check.

Organizations increasingly turn to smart buildings to drive energy efficiency, productivity, occupant comfort, and environmental impact. While this has created great opportunities, it also introduces new vulnerabilities. A security-first approach that includes a data encryption strategy is essential to protect occupants, employees, and the building itself. By understanding data encryption benefits, you can create a robust security solution that keeps your assets safe.