基于PLC和神经网络的电梯群控最优化方法设计

Design of Elevator Control System Based on PLC

为了节能降耗,减少乘客的候梯时间,提高多层建筑内电梯的运行效率,通常需要将高层建筑内的多台电梯进行统一协调管理。针对该类问题提出一种基于可编程逻辑控制器(PLC)和神经网络的电梯群控最优化方法,该方法采用以PLC为主的控制设备完成电梯的升降以及电梯门的开关,通过神经网络算法学习电梯运行参数并训练得到电梯群控最优化模型。实验表明该方法能合理有效调度所有电梯,既满足了乘客的需求又达到了节能降耗的目的。

In order to save energy and reduce consumption,reduce the waiting time of passengers and improve the operating efficiency of elevators in multi-storey buildings,it is usually necessary to coordinate and manage multiple elevators in high-rise buildings.Aiming at this kind of problem,an optimizati on method of elevator group control based on programmable logic contra lie r(PLC)and neural network is proposed.This method uses PLC-based control equipment to complete elevator lifting and elevator door opening and closing through neural neiwork The algorithm learns the elevator operating parameters and trains to obtain an elevator group control optimization model.Experiments show that this method can dispatch all elevators reasonably and effectively,which not only meets the needs of passengers but also achieves the purpose of energy saving and con sumption reduction.