Intelligent Optimization Algorithm In The Group Elevator Traffic Flow Of The Application

With rapid development of the intelligent control technology in the high building,the elevator as one of the traffic tools for passenger service, not only to ensure that itoperate stably and park accurately, and even consideration from the passengers waitingtime, comfort of passengers in the ladder, and other factors comprehensively.In order to provide a better quality of service passengers and efficiency, the elevatorgroup control system also has become a popular focusing on topic.This thesis analyzes the various kinds of elevator group control scheduling strategy,and products a kind of elevator group controller based on Ant Colony Algorithm.Through to the analysis of the passenger service quality and enterprise electricity, thiselevator group controller make use of the passengers waiting time, the crowded degreein the elevator car and the power consumption of the elevator as the evaluation index ofthe multi-objective evaluation function. This thesis using the simulation traffic data,with a4elevators20buildings of the controller of the simulation results, the resultsshow that the controller of global convergence rapidly and algorithm of the effectiveand practical performance.According to the actual operation of the elevator, this thesis use visualprogramming software design of the elevator system monitoring interface to theoperation condition of the monitoring and basic parameters changes, and the staff of theelevator monitor and maintenance bring convenient. At the same time, make use of DSPto design the elevator group of controller for upper machine communications. Throughthe software and hardware design, they provide the technical support for the practicalneed.