Facility Management in the Age of IoT and Digital Twins: AI-Driven Optimization for Smart Buildings

Authors

Subhasis Kundu

Abstract

The convergence of the Internet of Things (IoT), Digital Twins, and Artificial Intelligence (AI) has revolutionized Facility Management (FM) in intelligent buildings. This study examines their collaborative relationships and effects on enhancing building operations, anticipatory maintenance, and resource administration. IoT devices gather real-time information on building metrics, allowing for constant monitoring and regulation. Digital Twins generate virtual models of physical assets, enabling scenario planning, simulations, and forward-thinking decision making. AI-powered methods analyze the acquired data to detect patterns, forecast equipment malfunctions, and streamline maintenance plans. The adoption of these technologies has led to notable enhancements in energy efficiency, space usage, and asset lifecycle management. However, obstacles, such as data integration, security issues, and implementation expenses, remain. Examples from various industries showcase the concrete advantages of successful implementation, including reduced downtime, prolonged equipment lifespan, and improved operational efficiency. As the industry progresses, facility managers must adjust to these advancements and cultivate skills to harness data-driven decision making. The future of FM lies in further incorporating emerging technologies, offering greater potential for optimization in intelligent buildings that autonomously adapt to changing conditions and user needs.

Keywords

Facility Management, Internet of Things, Digital Twins, Artificial Intelligence, Smart Buildings, Predictive Maintenance, Resource Optimization

Facility Management in the Age of IoT and Digital Twins: AI-Driven Optimization for Smart Buildings. Subhasis Kundu. 2019. IJIRCT, Volume 5, Issue 3. Pages 1-6. https://www.ijirct.org/viewPaper.php?paperId=2503086