Bridging the Gap: How to Turn Predictive Maintenance Data into Actionable HVAC System Optimisation
In today’s buildings—whether commercial offices, hospitals, cleanrooms, or large data centres—HVAC systems are surrounded by sensors collecting vast amounts of information every second. Airflow, temperature, humidity, vibration, motor current, pressure—every detail is logged. Building Management Systems (BMS) and IoT platforms generate dashboards, alarms, and trend analyses. Yet despite all this data, many facilities still operate reactively. Filters clog before anyone notices. Fans fail unexpectedly. Energy bills remain high with no clear explanation. The problem is not the lack of data—it is the lack of actionable insights and clear optimisation strategies . This is where predictive maintenance becomes powerful. But collecting predictive data alone is not enough. The real challenge lies in turning that data into decision-making, operational improvements, and measurable savings. This article explains how to bridge that gap and create a closed-loop optimisation process for your HV...
