For a long time,traditional blast furnace ironmaking processes have faced problems such as high energy consumption and severe pollution.With the proposal of goals such as"dual carbon",how to use intelligent manufacturing technology to achieve efficient and environmentally friendly sustainable development in blast furnace smelting has become a research focus for blast furnace workers.From the current situation of intelligent development of blast furnace ironmaking as an entry point,several aspects of intelligent prediction,simulation,expert system and internet platform were elaborated in detail.Based on the on-site data of blast furnace ironmaking,the application of blast furnace operation state prediction and simulation in blast furnace were explored,providing decision support for intelligent control of blast furnace ironmaking;a visualization platform for the blast furnace ironmaking industry was established to achieve comprehensive monitoring and management of the blast furnace ironmaking production process.Finally,based on the current research status,combined with big data technology and ironmaking processes,the development of intelligent ironmaking in blast furnaces was further discussed from several perspectives,including data governance,establishment of expert knowledge bases,and establishment of intelligent platforms.
NETL
NSTL
万方数据
