Design and implementation of modern elevator group control system

被引：0
作者：
Chen, Zhi-Ming [1 ]
Luo, Fei [1 ]
Xu, Yu-Ge [1 ]
Cao, Jian-Zhong [1 ]
机构：
[1] South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
基金：
中国国家自然科学基金;
关键词：
elevator group control system; traffic prediction; traffic pattern recognition; support vector machine; hall call assignment;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：676 / +
页数：3
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