A Framework for Scalable Digital Twin Deployment in Smart Campus Building Facility Management
Thyda Siv

TL;DR
This paper presents a comprehensive, scalable framework for deploying digital twins in smart campus buildings, integrating laser scanning, BIM, and IoT data to improve facility management and maintenance workflows.
Contribution
It introduces an integrated workflow combining 3D laser scanning, BIM, and IoT data for scalable digital twin deployment in campus buildings, demonstrated through a case study.
Findings
Enabled centralized asset documentation and visualization.
Improved maintenance workflows and system visibility.
Validated the feasibility of a scalable digital twin prototype.
Abstract
Digital twin (DT) offers significant opportunities for enhancing facility management (FM) in campus environments. However, existing research often focuses narrowly on isolated domains, such as point-cloud geometry or energy analytics, without providing a scalable and interoperable workflow that integrates building geometry, equipment metadata, and operational data into a unified FM platform. This study proposes a comprehensive framework for scalable digital-twin deployment in smart campus buildings by integrating 3D laser scanning, BIM modeling, and IoT-enabled data visualization to support facility operations and maintenance. The methodology includes: (1) reality capture using terrestrial laser scanning and structured point-cloud processing; (2) development of an enriched BIM model incorporating architectural, mechanical, electrical, plumbing, conveying, and sensor systems; and (3)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBIM and Construction Integration · Digital Transformation in Industry · 3D Surveying and Cultural Heritage
