Elevator group control scheduling method based on traffic flow and adaptive neuro-fuzzy inference

Abstract

The invention discloses an elevator group control scheduling method based on traffic flow and adaptive neuro-fuzzy inference. The elevator group control scheduling method comprises the following stepsthat mode division is carried out on the busy degree of an elevator according to the total passenger flow volume of the elevator in a specified time period and the maximum load passenger flow volumeof the elevator in the specified time period, and then an adaptive neuro-fuzzy inference theory is used, the traffic flow mode of the elevator is identified according to the busy degree of the elevator, the entering passenger flow volume, the existing passenger flow volume and the elevator interfloor passenger flow volume within the specified time period; and local indexes and different weights ofelevator group control are determined according to different traffic flow modes, then fuzzy evaluation is carried out on each local index through a fuzzy control theory, and finally the final group control scheduling index is calculated by integrating the membership degree of each index. According to the elevator group control scheduling method based on the traffic flow and adaptive neuro-fuzzy inference, various factors such as elevator waiting and taking time, crowding degree and energy consumption of passengers are comprehensively considered, the elevator waiting and taking time can be effectively shortened, and the energy consumption of the elevator is reduced.

Description

technical field [0001] The invention belongs to elevator group control technology, in particular to an elevator group control scheduling method based on traffic flow and self-adaptive neurofuzzy reasoning. Background technique [0002] In order to improve the service quality and operating efficiency of the elevator, the elevator control technology has gradually developed from one elevator to a dispatch system in which multiple elevators are united and coordinated and optimized, which is called the elevator group control system. [0003] Buildings with low floors are usually equipped with a single elevator or multiple elevators in parallel. The main control target is time. As the floor becomes higher, the elevator transportation pressure becomes greater. The traditional control method is prone to empty-load operation of the elevator and unnecessary stoppages. Too many stations and long waiting time for passengers lead to low working efficiency of elevators. The elevator grou...

AI Technical Summary

Problems solved by technology

At present, most of the elevator group control scheduling methods used in practice are to optimize a single goal such as passenger waiting time or perform simple linear weighting on multiple indicators, without comprehensively considering elevator traffic flow, elevator congestion and The impact of factors such as system energy consumption on the final scheduling scheme is difficult to meet actual needs

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