双子电梯群高峰模式下动态分区算法仿真

Simulation on Dynamic Zoning Algorithm of Twin Elevator Group in Peak Mode

研究双子电梯动力优化管理问题,利用双子电梯独特的结构特点,使其更好地在高峰模式下发挥客运优势,采用动态分区方法对双子电梯群进行优化调度。上述方法根据建筑物不同楼层的客流大小和分布情况,对电梯轿厢分区进行了动态调整,用遗传算法搜索出使各轿厢往返一次运行时间最优的分区方法。利用Matlab软件进行仿真,并与最小候梯时间算法、静态分区算法进行仿真比较。仿真结果表明,改进方法能够适应不同交通流变化,具有良好的控制效果,实现了高峰模式下的动态分区,可为双子电梯群控系统的工程应用提供理论依据。

Elevator is an important vertical transportation in a building. For the unique structural characteristics of a new elevator twin elevator, this work utilized dynamic zoning method for the optimization dispatching of twin elevator group so that twin elevator can better reveal the advantage of passenger transportation. By means of the amount and distribution of passenger flow on different floor in a building, this method achieved the dynamical regulation of elevator car zoning and applied genetic algorithm to seek a zoning method which can optimize the roundtrip run time for every elevator car. This paper used Matlab for simulation and simultaneously compared the simulation results with ones for the minimum waiting time algorithm and static zoning algorithm. Simulation results reveal that this method can adapt to the variation for traffic flow, possess a good control effect, realize the dynamic zoning in peak mode, and provide a theoretical basis for engineering application of twin elevator group control system.