5 Concrete Examples of Predictive Maintenance for Smart Buildings
5 Concrete Examples of Predictive Maintenance for Smart Buildings
The Wattsense article explains that predictive maintenance uses real-time data from sensors (e.g., temperature, vibration, power) to anticipate equipment failures and trigger maintenance only when needed, improving efficiency and reducing downtime. Key examples include monitoring HVAC systems through vibration and airflow to detect motor issues early, analyzing boiler temperature and pressure trends to identify inefficiencies, tracking elevator performance to predict mechanical wear, detecting electrical anomalies like harmonic distortion to prevent failures, and using water flow patterns to identify leaks before pipe bursts occur. Overall, predictive maintenance transforms building operations from reactive or scheduled approaches to data-driven, proactive management that enhances reliabil
