Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258416
