Title :
Dynamic Optimized Dispatching System for Elevator Group Based on Artificial Intelligent Theory
Author :
Liting, Cao ; Zhaoli, Zhang ; Jue, Hou
Author_Institution :
Beijing Union Univ., Beijing
Abstract :
A dynamic optimized dispatching system for elevator group based on synthetically application the artificial intelligent technology is presented in this paper. The elevator group is divided into five traffic modes according to the actual traffic flow by using an expert system based on artificial neural network firstly, and then a synthetically estimate parameter of elevator dispatching calculated found on fuzzy control theory in every identified traffic mode according the needs of passengers and the requirements of managers. The simulation is in allusion to the data of a office building by the MATLAB. The elevator dispatching pattern is optimized, the service quality of elevator is improved, and the transportation efficiency of elevator is increased by using this control system.
Keywords :
control engineering computing; expert systems; fuzzy control; lifts; neural nets; artificial intelligent theory; artificial neural network; dynamic optimized dispatching system; elevator dispatching; elevator dispatching pattern; elevator group; expert systems; fuzzy control theory; traffic flow; Artificial intelligence; Artificial neural networks; Communication system traffic control; Dispatching; Elevators; Expert systems; Fuzzy control; MATLAB; Parameter estimation; Traffic control; Elevator group control; artificial neural network; dynamic optimized dispatching system; expert system; fuzzy control theory;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351059
