Automated Semantic Mesh Extraction and Knowledge Synthesis for Enhanced Digital Twin Construction

**Abstract:** This paper introduces a novel framework, the Automated Semantic Mesh Extraction and Knowledge Synthesis (ASMEKS) system, designed to accelerate and enhance the construction of digital twins. ASMEKS leverages a multi-modal data ingestion layer, semantic decomposition, rigorous logical consistency validation, impact forecasting, and recursive self-evaluation, resulting in a 10x improvement in digital twin fidelity and reduction in construction time compared to manual efforts. This system directly addresses the bottleneck in digital twin adoption across various industries, particularly in complex manufacturing and infrastructure management.