【摘要】 针对目前的密集烤房存在的温度分布不均匀、能耗大、烟叶香气淡等不足，设计一种采用全闭式热风循环的烟叶密集烤房，并结合密集烤房烟叶烘烤温度调控的特点，引入温度标准差和温度不均匀度。应用三黑洞系统捕获策略、早熟干扰和随机干扰策略，对人群搜索优化算法(Seeker optimization algorithm, SOA)进行改进，提出了一种多策略人群搜索优化算法(Multi-strategy seeker optimization algorithm, MSSOA)。并应用多策略人群搜索优化算法对全闭式热风循环密集烤房温度控制双指标进行了优化，找到入口热风速度、烟叶孔隙率、分风板角度、烟层间距等烤房最优工艺和结构参数，提升了全闭式热风循环密集烤房温度分布均匀性。更多还原

【Abstract】 The design of a fully enclosed tobacco leaf bulk curing barn with hot air circulation in response to issues related to uneven temperature distribution, high energy consumption, and light aroma of tobacco leaves was proposed. For the fully enclosed hot air circulation bulk curing barn, the temperature standard deviation index and temperature inhomogeneity index were introduced in combination with the characteristics of tobacco leaves roasting temperature regulation in the bulk curing barn. Applying the three black hole system capture strategy, premature interference and random interference strategy, the seeker optimization algorithm(SOA) was improved, and a multi-strategy seeker optimization algorithm(MSSOA) was proposed. The multi-strategy seeker optimization algorithm was also applied to optimize the temperature control dual indexes of the fully enclosed hot air circulation bulk curing barn, and the optimal process and structure parameters of the baking room such as the inlet hot air velocity, the tobacco porosity, the angle of the air separation plate, and the spacing of the tobacco layer were found, which improved the uniformity of the temperature distribution of the fully enclosed hot air circulation bulk curing barn.更多还原