Fog manufacturing: new paradigm of industrial Internet manufacturing based on hierarchical digital twin

To break the data fusion barriers in the complex manufacturing process and carry out large-scale refined collaborative data-driven manufacturing, the problems encountered in the application and promotion of industrial Internet were analyzed. The opportunity to solve the problems such as industrial big data interconnection, deep integration of human-cyber-physics data, realization of people in the loop intelligent decision-making by integrating the smart enabling technologies such as hierarchical digital twin, fog computing/edge computing was discussed. On this basis, a new industrial Internet model based on hierarchical multi-granularity digital twin-Fog Manufacturing (FMfg) was proposed. The definition of FMfg was given, and the differences between FMfg and traditional industrial internet as well as CMfg were analyzed. The classification of digital twin models in FMfg mode was discussed, and a fast modeling method based on self-similar fractal theory was proposed. A management and control mechanism for human-cyber-physics and virtual fusion driving based on digital twinning was proposed. The feasibility and effectiveness of FMfg were verified by a typical application in machining. © 2019, Editorial Department of CIMS. All right reserved.