Cognitive Digital Twin Framework for Smart Manufacturing

The paradigm of smart manufacturing has the need to react to dynamic changes in realtime through ubiquitous sensors, reconfigurable manufacturing processes and artificial intelligence-driven decision-making. Digital Twin (DT) technology has emerged as a promising solution to meet these needs. In smart manufacturing, DT aims to replicate physical assets in a digital space. Cognitive Digital Twin (CDT) has evolved from DT with cognitive functionalities, and it represents the future direction of DT for smart manufacturing. CDT has been researched for a few years. Although there is a general understanding of what CDT is and what functionality CDT should possess, CDT still has not been clearly defined as to what it contains, and there is no guidance about developing such a CDT. This paper proposes a CDT interaction model and a CDT framework for smart manufacturing that will provide technical guidance for advancing existing DT to CDT. Additionally, a generic CDT information model has been developed, and future case studies will be carried out based on this information model.