基于遗传算法的无钟高炉布料工艺优化

Optimization of burden distribution process for blast furnace with bell-less top based on genetic algorithm

面对现代炼铁生产节能减排的迫切需求,优化无钟高炉布料是保证高炉稳产顺行、提高资源利用率和减少污染排放的有效途径。结合无钟炉顶的设备结构与布料工艺特点,提出了使用料面形状误差评价布料操作的准确性,设计了针对多环布料操作优化的遗传算法,并应用该优化算法分析了溜槽倾角档位数量以及布料总周数等参数对无钟布料工艺的影响。结果表明:基于遗传算法的组合优化模型能够有效制定布料矩阵,溜槽倾角档位数量和布料总周数的增多以及单次布料体积的减少有利于实现高炉精准布料,溜槽倾角档位数量无穷大时与螺旋布料的料面构造能力相当,布料总周数和单次布料体积受设备和工艺多方面限制,需合理设定。

Energy conservation and emission reduction are urgent needed in modem iron making production, and the optimization of the burden distribution in the blast furnace not only ensures the stable production but also improves the resource utilization and reduces the pollution emission. Based on the structure of the fiLrnace top charging system and the feature of the burden distribution process, a parameter was proposed to evaluate the accuracy of the burden surface formed in the furnace throat, a genetic algorithm was designed for ring charging to search for the optimum distribution of chute rotations globally. Then the effects of different important parameters including the number of chute inclination positions and the chute rotation speed on burden distribution were analyzed using the optimization algorithm. Results show that the combinatorial optimization model was able to design the burden distribution matrix effectively, and the ac- curacy of burden distribution enhanced as the chute inclination positions and the chute rotations increased and the burden volume decreased. The ring charging with infinitely many chute inclination positions had the similar ability of burden surface construction with the spiral charging, and the number of chute rotations and the burden volume which were limit- ed by multiple factors were needed to be set reasonably.