Building Automation Systems for Efficient Twin-computation With Interfaces and Networked-tools (BASE-TWIN)

DOD bases face complex operational challenges, including limited visibility into real-time building data, inadequate fault detection, and an inability to predict and prevent maintenance issues. BASE-TWIN addresses these gaps by integrating a digital twin with real-time sensor data and predictive analytics for comprehensive fault detection, automated alerts, and data-driven recommendations. The solution unifies building systems data, enabling advanced what-if scenario planning and seamless manufacturer updates. Its 3D user interfaces and AR-based technician training further streamline maintenance procedures, reducing repair times and boosting operational readiness. This integrated approach ultimately minimizes downtime, extends equipment lifespan, and enhances mission-critical performance for building infrastructures.