Operating a building can present big challenges for any organization. Whether you’re ensuring operating equipment is reliable, trying to keep energy costs down, or responding to occupant comfortability complaints, it seems as if there’s a never ending to-do list. What if there was a way to preemptively alert you of these issues before they happen? What if there was a way to take these items off your plate, so you could focus on what matters? What if we told you there is a way with Building AI.
Why Current Maintenance Methods Are a Thing of the Past
Conventional maintenance methods are unsophisticated and haven’t kept up with evolving systems and equipment. That’s because complex and intelligent systems require smart learning methods to be maintained. Plus, with limited time, labor, and capital resources, it can be difficult to readily pinpoint the exact problem. Building AI allows you to trouble shoot the problem before a technician would even need to come out, if at all.
What’s more, these last-minute conventional maintenance repairs can be much more expensive. In fact, those who maintain and/or replace building equipment and systems reactively saw an uptick in costs by 45% or more. So instead of reactively “putting out fires” as they happen, why not take a proactive approach with predictive intelligence? Right now, there is huge potential to become smarter and more efficient in the way HVAC systems are run in buildings. That secret lies in Building AI.
AI-Powered HVAC Systems? Yes, It’s Possible and Here’s How It Works
Building Applied Intelligence, or Building AI, uses technology and data through a small device called a data pump to create a securely encrypted outbound-only connection to your system, no matter the brand of Building Automation System (BAS). This connection allows a team of experts to track and trend your building operations and energy usage 24/7. From there, mechanical service engineers and control experts can utilize a building analytics process using machine learning and custom algorithms to narrow down the root cause issues to pinpoint priorities for corrective action. This means issues can be detected earlier if an issue is imminent, helping you save time and money.
The Power Behind Building AI
While Building AI utilizes smart learning technology, it’s the people behind the data that help organizations better utilize the information. At Gardiner, our team of more than 250+ local associates, including degreed engineers, certified energy managers, and expert HVAC service technicians, work with organizations like yours to solve building challenges and attain achievable results. With Building AI, we’re able to analyze your data to diagnose the root cause of your system issues, leverage technical experts with the goal of resolving the issues remotely, and deploy skilled technicians to resolve issues in person when required.
Want to learn more about Building AI and how it can help your facility? Set up a demo and we’ll show you how you can turn building intelligence into business results.