Application of Building Information Modeling for Managing Metadata and Facility Management to Support the Digital Twin

Abstract

processes for managing metadata and physical facility management to enhance the operational efficiency of public sector organizations, where workflows and data management are often highly complex. The proposed approach is designed to support the development of Digital Twin systems. A case study conducted at Naresuan University demonstrated that implementing a BIM-based workflow significantly reduced working time, streamlined operational activities, and lowered man-hours. In particular, centralizing data collection improved data accuracy, minimized redundancy, and enhanced the efficiency of data tracking and verification processes. The implementation resulted in a 75% reduction in man-hours for preparatory maintenance activities and a 60% reduction for metadata tracking and management. User evaluations indicated that improvements in data accuracy and redundancy reduction were rated as very good, while data accessibility and support for multiple data views were rated as good. However, the application was subject to specific limitations regarding platform capabilities, the sample group, and building characteristics. Therefore, broader adoption of this approach should carefully consider the technological readiness and competencies of personnel. Future directions include integrating Internet of Things (IoT) and sensor technologies with BIM and developing metadata standards specifically tailored for public sector facility management.