基于贝叶斯决策理论的电梯群控交通模式识别

为了提高电梯群控系统运行效率，针对国内外电梯群控交通模式识别研究存在的问题，提出了用贝叶斯决策理论对其交通模式进行识别。论述了电梯群控系统交通模式、交通模式鉴别的特征参数、交通模式识别分类器的设计及优化，并实现了电梯群控性能的提高。仿真研究结果表明，基于贝叶斯决策的电梯群控系统交通模式识别方法科学、合理，能提高群控电梯的运行效率。

Traffic pattern identification of elevator group control based on Bayes decision theory

In order to improve efficiency of elevator group control system（EGCS） and aiming at problems on researching traffic pattern identification of EGCS. An idea was put forward to identifying traffie pattern of EGCS using Bayes theory. It was discussed about the traffic patterns of EGCS, characteristic parameters of traffic pattern identification, designing of classifier of traffic pattern identification and its optimization etc. And properties of EGCS were improved. Emulational results indicate that the method of the traffic pattern identification mentioned is scientific and reasonable. It can improve efficiency of EGCS.