Predictive maintenance refers to proactive maintenance of machines and systems, aiming to predict and address potential issues before they occur. The goal is to minimize downtime, reduce costs associated with wear-and-tear materials, and extend the lifespan of equipment and systems. Predictive maintenance relies on analyzing real-time data. Only with a robust data foundation can changes, trends, and developments be forecasted using algorithms or AI.
In building operations, implementing a digital twin can be a foundational step for automated processes and predictive maintenance. By preventing disruptions and failures, user comfort is significantly improved. Building operators gain the ability to make operations more efficient, save on operating costs, and enhance energy efficiency.
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