Digital twins technolgy and its data fusion in iron and steel product life cycle

Abstract

The related models in iron and steel product life cycle (IS-PLC), from order, design, purchase, scheduling to specific manufacturing processes (i.e., coking, sintering, blast furnace iron-making, converter, steel-making, continuous steel casting, rolling) is characterized by large-scale, multi-objective, multi-physics, dynamic uncertainty and complicated constraint. To achieve complex task in IS-PLC, involved models need be interrelated and interact, but how to build digital twin models in each IS-PLC stage, and carry out fusion between models and data to achieve virtual space (VS) and physical space (PS) intercorrelation, is a key technology in IS-PLC. In this paper, digital twins modeling and its fusion data problem in each IS-PLC stage are preliminary discussed.