摘要
针对传统电梯群控系统乘客乘梯时间的不可知性及随之导致的梯群服务效率低、能耗大等问题,对电梯群控系统的结构、呼梯方式、派梯算法等方面进行了研究,提出了一种含有目的层预约设备的电梯群控系统,目的层预约设备可得到含有目的层信息的确定呼梯信号,利用交通流作为输入,构建并训练了模糊神经网络,实现了交通流模型的识别。最后,基于VB和Matrix VB编写了电梯群控系统的仿真系统,并进行了仿真计算。研究结果表明,基于交通流模型的目的层预约电梯群控算法能在不同交通模式下采用不同的群控策略,实现了不同交通模式下电梯群的优化控制,提高了系统的运行效率和性能,验证了算法的有效性与可行性。
Aiming at the problems that incomplete uncertain call information, low service efficiency and high energy power comsumption of traditional elevator group control system （ EGCS） , the structure, call mode and dispatch algorithm of EGCS was researched, an EGCS with destination reservation was proposed , both direction and definite destination were available, and the exact call information of the system could be obtained. The fuzzy-neural network was constructed and trained, taking the traffic flow as input, the identification of traffic mode based on fuzzy-neural network was realized. At last, the simulation software was written by visual basic and matrix VB and the dispatching al-gorithm of EGCS based on fuzzy-neural network was simulated. The results indicate that various controlling strategies are adopted under dif-ferent traffic patterns in order to achieve the optimization control of elevator group, the proposed algorithm of EGCS with destination reserva-tion bases on traffic mode can improve operating efficiency and group performance. Therefore, it is validity and feasible.
出处
《机电工程》
CAS
2017年第6期586-590,共5页
Journal of Mechanical & Electrical Engineering
关键词
交通流模型
目的层预约
电梯群控系统
模糊神经网络
traffic mode
destination reservation
elevator group control system
fuzzy-neural network
