• Digital twin technology enables real-time visualization and prediction of assembly processes, enhancing inversion analysis accuracy and expanding parameter ranges for precision optimization.
• Traditional assembly precision methods rely on dimensional chain design and stepwise tolerance checks, which are insufficient for dynamic multi-factor analysis and problem localization.
• Key enabling technologies for DT-driven assembly precision inversion include multi-attribute sensing, high-fidelity virtual modeling, twin synchronization, multi-physical field simulation, and performance twin construction.
• Future integration with human-cyber-physical systems, augmented reality, and generative intelligence will further advance DT-driven assembly precision inversion in industrial applications.