The iron and steel industry is a pillar industry that promotes the sustainable economy development in China with many links in the process before iron-making of iron and steel metallurgy, faced with many problems such as large amount of data, difficulty in real-time monitoring, difficulty in grasping the production status, and difficulty in accurate decision-making with manual experience. Intelligent manufacturing in the process of iron-making can promote the industrial transformation and upgrading of iron and steel enterprises. At present, digital twin, transparent perception, intelligent operation & maintenance, and intelligent decision-making have achieved good results in the collection and integration of multi-source heterogeneous data, the collection of system operation status information, the monitoring and early warning of key equipment, and the optimization of production parameters and indicators. The application of intelligent manufacturing in the process of iron-making is focused on from these four aspects, and a prospect on the future development direction is made.