New Framework Suggests Scalable Digital Twin Deployment for Smart Campuses

Academic research published in mid-December proposes a scalable digital twin framework that integrates BIM modeling, 3D laser scanning, and IoT data to enhance facility management in smart campus environments.

The study details a workflow that begins with reality capture via terrestrial laser scanning, followed by enriched BIM models incorporating architectural, mechanical, electrical, and plumbing elements. These models are linked to digital twin environments that combine equipment metadata, maintenance rules, and simulated IoT streams to visualize system performance through interactive dashboards.

A real-world case study demonstrated that this approach improves asset documentation, system visibility, and maintenance workflows—even when actual sensor infrastructure is limited. The framework acts as a reference model for real-time monitoring, analytics integration, and future autonomous operations.

Conclusion:

This research points toward next-generation facility management where digital twins, powered by BIM and IoT data, enhance building operations and maintenance—especially in complex environments like university campuses. It signals growing integration of digital technologies across design, construction, and operations.