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本文的炼铁优化模型以高炉炼铁的产量、成本、焦化三个主要技术经济指标作为三个目标函数，用５６个约束条件描述了高炉炼铁过程的行为特征，用优化变量与状态变量相结合的方法将非线性关系线性化，并用循回协调的算法进行寻优求解。同时建立了高炉炼铁优化的灵敏度分析方法，多目标处理采用线性加杜法。实际运行表明模型可以单目标运行，也可以全面综合为多目标运行，这样可灵活地适应高炉生产的不同时期的要求。优化结果对高炉操作有良好的指导作用。
The ironmaking optimization model of this paper takes the three major technical and economic indexes of blast furnace ironmaking production, cost and coking as three objective functions, and describes the behavior characteristics of the blast furnace ironmaking process with 56 constraints. By using optimization variables and state variables phase The combined method linearizes the non-linear relationship and performs the optimal solution using a round-robin coordinated algorithm. At the same time, the optimal sensitivity analysis method of blast furnace ironmaking is established, and the linear target method is adopted for multi-objective processing. The actual operation shows that the model can be operated as a single target or as a comprehensive multi-target operation, which can be flexibly adapted to the requirements of different periods of blast furnace production. The results of the optimization have a good guiding role for blast furnace operation.