Digital Twin-Driven Intelligent Hotel BIM Operation and Maintenance System:A Case Study of Holiday Inn

The rapid development of smart buildings requires efficient and data-driven hotel facility management. Despite the potential of building information modelling (BIM) and digital twins, empirical studies addressing heterogeneous data fusion and intelligent diagnostics in real hotel environments are limited. This study developed an integrated digital twin framework that combines BIM, IoT sensing, and semantic modelling based on the BRICK Schema to enable unified data representation and real-time operational mapping. A digital twin operation and maintenance (O&M) system was implemented and validated at the Holiday Inn Hotel. The system supports real-time equipment monitoring, predictive fault diagnosis, and dynamic emergency simulations. During a three-month pilot deployment, the system reduced the fault localization time from 120±40 min to 15±10 min (p < 0.001), improved inspection efficiency by 140% (p < 0.001), and yielded an estimated annual reduction of 18% in maintenance costs and 12% in energy consumption. The results demonstrate the effectiveness of digital twin-enabled facility management and provide a replicable methodological reference for extending BIM values across the building lifecycle.