Design and Implementation of Modern Elevator Group Control System

Author

Chen, Zhi-ming ; Luo, Fei ; Xu, Yu-ge ; Cao, Jian-zhong

Author_Institution

Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

676

Lastpage

681

Abstract

The design and implementation of a modern elevator group control system (EGCS) is introduced in this paper. The basic considerations of designing an EGCS are discussed, including related system parameters, evaluation criterions and traffic patterns. Least squares support vector machine algorithm is employed for traffic prediction. Using multi-support vector machine, the traffic pattern recognition is accomplished, then based on that recognition, the control strategies are generated. In the hall call assignment, the re-scheduling ability is achieved by the elevator suitability re-evaluation mechanism. A comparison with an older model demonstrates the effectiveness of the proposed EGCS

Keywords

control system synthesis; lifts; pattern recognition; support vector machines; traffic control; EGCS design; elevator group control system; elevator suitability re-evaluation mechanism; evaluation criterion; hall call assignment; least squares support vector machine algorithm; system parameter; traffic pattern recognition; traffic prediction; Artificial neural networks; Automatic control; Buildings; Control systems; Elevators; Floors; Machine learning; Pattern recognition; Routing; Support vector machines; Telecommunication traffic; Traffic control; Elevator group control system; Hall call assignment; Support vector machine; Traffic pattern recognition; Traffic prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258416

Filename

4028149