A digital twin shop-floor construction method towards seamless and resilient control

Abstract

In recent years, as a promising way to realize smart manufacturing, digital twin shop-floor has attracted more and more attentions. Frontier researches have preliminarily shown that the interaction, which is the core feature of digital twin, is beneficial for dynamic analysis, real-time production management and remote shop-floor control. However, current research pays scant attention to the seamless control under uncertain conditions, which could lead to outdated or ineffective control because of the interaction delay and uncertainty. To address this problem, this paper firstly proposed a digital twin shop-floor construction framework towards seamless control under uncertain conditions. Moreover, connotations of seamless and resilient control are also introduced. Then, the Lego-style modeling and configuring method of digital twin shop-floor are discussed, to provide the basis for digital twin shop-floor development and seamless control. Predictive interaction mechanism for resilient control is further explained in detail. Finally, a digital twin shop-floor for chemical fiber production is chosen as the case to validate the effectiveness and feasibility of proposed framework and method.