A cognitive digital twin modeling method of robotic production line

Abstract

Considering the change of manufacturing tasks, the current modeling method of robotic production line is difficult to extract the knowledge contained in the perception data. In this paper, ontology modeling is used to model the knowledge of robotic production line. The Cognitive Digital Twin (CDT) model is constructed from the aspects of cognition, geometry, physics, behavior and rules. The CDT model can help robotic production line to respond to changing manufacturing tasks quickly. To verify the cognitive ability of CDT model, the case studies are conducted in automotive Body in White (BIW) robotic production line. The comparison experiments with and without cognitive module were designed to verify the proposed method. The results show that the proposed CDT modeling method can enhance the cognitive ability of digital twin model and then improve the operation efficiency of the robotic production line.