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随着高层建筑的不断发展,人们对电梯服务质量提出越来越高的要求,单台电梯往往不能满足建筑物内的交通需要,为了缩短人们的候梯时间,减少能量损耗,需要合理安装多台电梯,这种多台电梯群的优化调度系统,就是电梯群控系统.它采用优化的控制策略来管理多台电梯协调运转,以提高电梯的运行效率和服务质量。本文重点介绍了基于模糊神经网络的智能控制方法,并将这种方法应用到电梯群控系统中的大楼交通模式识别.以及在不同交通模式下的派梯控制。
With the continuous development of high-rise buildings, people are demanding higher and higher requirements for elevator service quality. A single elevator often fails to meet the traffic needs of the building. In order to shorten people’s waiting time and reduce energy consumption, reasonable installation is needed. Elevators, the optimal dispatching system for multiple elevator groups is the elevator group control system. It adopts an optimized control strategy to manage the coordinated operation of multiple elevators to improve the operating efficiency and service quality of elevators. This article focuses on the intelligent control method based on fuzzy neural network, and applies this method to the building traffic pattern recognition in elevator group control system and the dispatch control in different traffic modes.