考虑高优先权的智能立体库房仓储调度自动控制方法OA

An automated control method for warehouse scheduling in smart stereoscopic warehouses considering high priority is proposed to address the problem that scheduling paths generated solely based on task order or random assignment,which results in a significant increase in the total length of scheduling paths due to a large amount of redundant spatial movement.Considering the relative deadlines and the a-mount of remaining tasks,a priority table is constructed to calculate the high priority of different ware-house scheduling tasks,and the scheduling task batches are divided according to the priority.For any given scheduling task batch,an objective function centered on minimizing the scheduling path is formulated.Through iterative optimization using a hybrid genetic algorithm,the optimal path capable of connecting all scheduling tasks within that batch is automatically searched.The planned path and the actual operational trajectory of storage scheduling equipment are synchronously fed into the fuzzy PID control structure to re-duce motion trajectory error via compensation control.Taking the intelligent stereoscopic warehouse with ten 13-tier storage racks as an example,the results show that the total length of the final scheduling path is only 1 040 m after applying this method to complete the scheduling control of all stored goods,which is shorter compared to existing methods.This demonstrates that the proposed method can effectively achieve intelligent scheduling control.