LLM-Assisted Semantic Digital Twin for Explainable and Auditable Facility Operations
Jun 1, 2026·
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Chien-Pu (Nora) Huang
Shang-Hsien Hsieh
Abstract
This paper presents an LLM-assisted semantic digital twin framework for explainable and auditable facility operations. The proposed approach integrates large language models with semantic reasoning to enhance transparency and traceability in automated facility management workflows.
Type
Publication
Proceedings of the 2026 ASCE International Conference on Computing in Civil Engineering (i3CE 2026), Incheon, Korea
Authors
Assistant Professor
Assistant Professor at National Taipei University of Technology (Taipei Tech, NTUT) specializing in semantic digital twin frameworks, graph-native knowledge architectures, and AI-driven automation for smart built environments. Licensed architect with industry experience spanning high-tech facility engineering and construction management.