基于蚁群算法的电梯群控系统控制器设计

Design of Elevator Group Control System Controller Based on Ant Colony Algorithm

随着社会的进步,电梯数量的不断上升,如何让电梯的运行变得更加有效成了一个亟待解决的课题。基于CAN总线和蚁群算法,将建筑物的楼层、电梯总体数量、乘客等候的时间以及电梯的载荷等重要指标融为一体,提出了一种新的针对电梯控制的操作系统,为下一步深入研究对电梯的控制打下良好的基础。

With the continuous development of society, the elevator becomes more and more inseparable from us. The number of elevators is constantly increasing, and how to make elevators operate more efficiently has become an urgent problem. Based on the CAN bus and the ant colony algorithm, the thesis integrates the floors of a building, the total number of elevators, waiting time for the passengers and the loading of an elevator as well as other important indicators, so the paper puts forward a new elevator group control system （EGCS） model to lay a good foundation for further study on EGCS.