Automatic Tiered Warehouse Storage System Capacity Based on Random Probability

In the current design of automatic storage warehouse, the proportion of single and compound cycle operation is approximately estimated based on experience according to even acceleration of SRM machines, which leads to the discrepancy between planning and design ability and actual system ability. To solve this problem, we analyzed the actual running condition of SRM machine based on SRM kinematics theory. According to the speed and time curve of SRM machines, the time calculation formula of SRM machine on the direction of X, Y&Z axis and mathematical model of SRM machine capability calculation were proposed. According to the scheduling management strategy, the random probability of actual SRM machine performance, and the working flow of SRM machine as well, are analyzed. The mathematical model and algorithm was set up on automatic logistic tiered warehouse storage system capacity based on random probability. Precision convergence method and evaluation process of capacity calculation were given as well. The discrepancy between planning and design ability and actual system ability is solved. Finally, by means of the finished product warehouse of certain cigarette factory, calculation result of estimating algorithm and random probability algorithm were compared with the actual measurement data respectively, which proved that result of random probability algorithm was closer to actual running status and it was more feasible and practicable.