Quality control mode of intelligent assembly workshop based on digital twin

Abstract

Intelligent assembly workshop technology based on digital twin is a potential way to realize intelligent manufacturing. Aiming at the complex assembly process and low assembly quality in the complex product assembly workshop, the research on the quality control mode of intelligent assembly workshop based on digital twin was carried out. On the basis of real-time collect of resource location information, assembly process information and assembly quality information by using the quality control mode, the Markov method and Manhattan distance algorithm were used to realize assembly process and quality control in assembly workshop. Finally, taking an aircraft wing assembly workshop as an example, the prototype control system of intelligent assembly workshop is applied and verified to provide a technical approach for improving assembly quality and realizing assembly workshop real-time and dynamic control.