A Novel Intelligent Elevator Group Control Algorithm Based on Corridor Passenger Detection and Tracking

2013 ◽  
Vol 336-338 ◽  
pp. 815-819
Author(s):  
Yi Peng Zheng ◽  
Zu Tao Zhang ◽  
Hong Xu

The conventional elevator group control system is based on the button as a response and where to dispatch an elevator car. There is one big problem that when system dispatches the elevator to that button responding floor, but no passenger there and causing a waste of time and energy. In this paper, we present a novel intelligent elevator group control algorithm based on corridor passenger detection and tracking. In the above proposed system, after the corridor passengers are detected using binocular-cameras, Unscented Kalman Filter (UKF) is introduced to improve robustness and accuracy of corridor passenger motion tracking. At same time, a novel intelligent elevator group control strategy based on corridor passenger detection and tracking is proposed to improve the performance and transport efficiency of the elevator. Compared with the traditional elevator group control system, the proposed system has potential advantages in minimizing passengers’ waiting time and saving electronic energy. The final experimental results show the validity of our method under simulation condition.

2012 ◽  
Vol 229-231 ◽  
pp. 2306-2310
Author(s):  
Qi Han ◽  
Li Zhang

Focusing on scheduling of multi-objective optimization in the elevator group control system(EGCS), this article gives a different strategy for dispatching elevator based on improvement of service quality and low energy consumption. Multi-objective evaluation function is modeled base on three factors for average waiting time, average operation time and energy consumption.By making use of particle swarm optimization algorithm to finish the model and simulation of EGCS. Virtual simulation platform should be built by using C++builder6.0.Simulation result indicates the superiority of optimal algorithm


2012 ◽  
Vol 155-156 ◽  
pp. 653-657
Author(s):  
Yu Lin Dong ◽  
Xiao Ming Wang

Elevator group control system (EGCS) is a complex optimization system, which has the characteristics of multi-objective, uncertain, stochastic random decision-making and nonlinear. It is hard to describe the elevator group control system in exact mathematic model and to increase the capability of the system with traditional control method. In this paper, we aim at the characters of elevator group control system and intelligent control, introduce the system's control fashion and performance evaluate guidelines and propose an elevator group control scheduling algorithm based on fuzzy neural network.


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