Optimal Distribution of Iron Ore Raw Materials in Blast Furnace System

摘要

Metallurgical companies work at volatile market of iron ore raw materials and fuel and power resources, thus importance of solution search for the optimal distribution of raw material resources in a blast furnace system and optimal composition determination for each furnace burden is growing. Review of the current approaches to the process mathematical simulation for task solution of the iron ore raw material optimal distribution in a blast furnace system demonstrated that full-size model approach and the object reference disturbance motion concept are perspective. The report provides description of the algorithm structure, mathematical support and software for raw material resource optimal distribution in a blast-furnace system. The optimal raw material distribution method in the blast-furnace plant organizational and technological plan provides for the integration of basic process physicochemical laws of the controlled object and scaling models. The concept of parameter small departure relative to the basic conditions at the object reference disturbance motion was used for the task solution. Such approach allowed the reduction of the optimization task to linear mathematical programming. With regard to Magnitogorsk Iron and Steel Works operation conditions the possibility of blast furnace plant operation planning and iron smelting technical and economic performance improvement is shown based on the developed method and software.