WANG Guodong1， LIU Zhenyu1， ZHANG Dianhua1，CHU Mansheng2
Abstract：Driven by the fourth wave of industrial revolution, iron and steel science and technology are undergoing digital and intelligent transformation. The whole process of iron and steel industry is "black box", multi field, multiphase, variable giant system, complex correlation and genetic effect, etc. These huge uncertainties bring great challenges. Challenges and opportunities coexist. These uncertainties provide the application scenario resources of intelligent and digital technology; the extremely rich big data of iron and steel industry provide the data resources of mining the objective laws contained in the data; modern data science and intelligent technology provide a strong means to solve the uncertainty problems. Taking data as the center, industrial Internet as the carrier, as well as experimental tools, data and calculation tools as the support platform, building the material innovation infrastructure of iron and steel enterprises will significantly improve R & D efficiency, reduce R & D cost, and strongly support the transformation and development of iron and steel science and technology. In addition to the traditional laboratory equipment and pilot equipment, the actual production line is regarded as a main experimental tool of the experimental tool platform. These experimental tools provide rich, accurate and realistic historical data and real production data, especially the production line equipment provides the actual production big data, which contains all the rules in the production process, and is a very valuable data resource. Modern data mining technologies, such as machine learning and deep learning, are used as computing tools to process, analyze and calculate these data, and transform the data into high fidelity models, so that digital twins with "in situ analysis ability" can be obtained. Under the overall framework of industrial Internet, digital twin as the core combined with physical system constitutes an Cyber Physical System, which constructs a closedloop enabling system based on automatic data flow, such as data perception, realtime analysis, scientific decisionmaking and accurate execution, solves the complexity and uncertainty problems in the process of manufacturing and application services, improves the efficiency of resource allocation, realizes resource optimization and improves the quality of materials to provide key technical support for the transformation and development of the industry. The Cyber Physical System with virtualreal mapping, realtime interaction and precise control is integrated with the material innovation infrastructure. Based on the material innovation infrastructure, a digital twin with "insitu analysis ability" is formed. The construction of the integrated Cyber Physical System along the whole steel production chains will promote the vigorous development of smart manufacturing and digital and intelligent transformation of the steel industry.
