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为提高无钟高炉的布料精度,提出了一种基于粒子群算法的环形布料优化方法。在分析环形布料工艺特点的基础上,按控制方法将环形布料分为常规多环布料和步进式同心圆布料,以料面形状误差为控制目标建立了环形布料的优化控制数学模型,并设计了粒子群算法进行优化求解。最后将优化模型应用到2580m3无钟高炉,利用该优化模型分析了环形布料工艺与布料精度之间的关系。计算结果表明:溜槽倾角档位数量的增加有利于提高常规多环布料的布料精度,但同时导致布料优化控制复杂化,步进式同心圆布料的布料精度高于任意有限多个溜槽倾角档位的常规多环布料,适合充分发挥无钟炉顶布料灵活的优势,实现期望的炉料分布。
In order to improve the fabric accuracy of bell-less blast furnace, a method based on particle swarm optimization is proposed. Based on the analysis of the technical characteristics of the ring fabric, the ring fabric is divided into the conventional multi-ring fabric and the step-concentric fabric according to the control method. The optimal control mathematical model of the ring fabric is established with the shape error of the material surface as the control target. Particle swarm optimization algorithm to solve. Finally, the optimization model is applied to a 2580m3 bell-less blast furnace, and the relationship between the ring cloth technology and fabric precision is analyzed by using the optimization model. The calculation results show that the increase of the number of chute inclination is beneficial to improve the fabric accuracy of the conventional multi-ring fabric, but at the same time the fabric optimization control is complicated. The fabric accuracy of the step-concentric fabric is higher than that of any limited number of chute inclination gears The conventional multi-ring fabric, suitable for full advantage of the bell-less roof flexible fabric, to achieve the desired charge distribution.