<p>This study explores advanced virtual assembly methodologies for complex mechanical structures through the application of digital twin technology. The research aims to develop high-fidelity virtual assembly models that enable precise simulation and optimization of mechanical assembly processes. By integrating multi-level information modeling techniques and incorporating gesture recognition technology to enhance human-computer interaction, the proposed approach significantly improves the efficiency and accuracy of mechanical assembly operations. Experimental validation confirms the feasibility and robustness of the method, providing a solid theoretical foundation and valuable practical insights for the advancement of virtual assembly systems in mechanical engineering applications.</p>