Construction and Application of Workshop Twin Model based on Group Systems Cognition

The digital twin workshop is considered a key technology for the transparency and continuous optimization of the workshop production process, as well as the trend of digital and intelligent development of the workshop. However, the current workshop digital twin model lacks a framework that can correlate the entire physical entity of the workshop and continuously compute and learn to empower the workshop with cognitive capabilities that can adapt to changing production conditions or new production scenarios. In this paper, a workshop digital twin model construction method based on group systems cognition (GS C) is proposed, aiming to realize the overall cognition of workshop production process in multiple layers from low-level physical subsystem to high-level group systems. Combining digital twin technology with the general cognitive principles of human problem solving in cognitive science, a workshop digital twin model framework including physical layer, virtual layer and cognitive layer is established; then, a multi-level cognitive computing model with sustainable learning capability was constructed by using information technology, so that the workshop twin model has cognitive capability. Finally, the application validation of the GSC-based workshop twin was carried out in an aerospace structural component manufacturing workshop as an example, and it was verified that GSC can endow the workshop twin with certain cognitive ability and effectively improve the workshop productivity.