基于交通模式识别的电梯群控系统调度方法研究

2009 International Conference on Business Intelligence and Financial Engineering Pub Date : 2009-07-24 DOI:10.1109/BIFE.2009.20

Jun Wang, Airong Yu, Xiaoyi Zhang, Lei Qu

{"title":"基于交通模式识别的电梯群控系统调度方法研究","authors":"Jun Wang, Airong Yu, Xiaoyi Zhang, Lei Qu","doi":"10.1109/BIFE.2009.20","DOIUrl":null,"url":null,"abstract":"Elevator group control system (EGCS) with multi-objective, stochastic and nonlinear characteristics is a complex optimization system. After analyzing characteristic of typical traffic mode of elevator. This paper proposed a new simulation platform of an elevator group control system implemented in C# using the fuzzy-neural network technology. The result of simulation shows that this method realizes reasonable elevator dispatching under various passenger traffic conditions and indicates the validity of this method.","PeriodicalId":133724,"journal":{"name":"2009 International Conference on Business Intelligence and Financial Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research of Dispatching Method in Elevator Group Control System Based on Traffic Mode Identify\",\"authors\":\"Jun Wang, Airong Yu, Xiaoyi Zhang, Lei Qu\",\"doi\":\"10.1109/BIFE.2009.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Elevator group control system (EGCS) with multi-objective, stochastic and nonlinear characteristics is a complex optimization system. After analyzing characteristic of typical traffic mode of elevator. This paper proposed a new simulation platform of an elevator group control system implemented in C# using the fuzzy-neural network technology. The result of simulation shows that this method realizes reasonable elevator dispatching under various passenger traffic conditions and indicates the validity of this method.\",\"PeriodicalId\":133724,\"journal\":{\"name\":\"2009 International Conference on Business Intelligence and Financial Engineering\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Business Intelligence and Financial Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIFE.2009.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Business Intelligence and Financial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIFE.2009.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

电梯群控系统是一个复杂的优化系统，具有多目标、随机和非线性的特点。分析了典型电梯交通方式的特点。本文提出了一种利用模糊神经网络技术在c#语言中实现的电梯群控系统仿真平台。仿真结果表明，该方法在各种客流条件下实现了合理的电梯调度，表明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research of Dispatching Method in Elevator Group Control System Based on Traffic Mode Identify

Elevator group control system (EGCS) with multi-objective, stochastic and nonlinear characteristics is a complex optimization system. After analyzing characteristic of typical traffic mode of elevator. This paper proposed a new simulation platform of an elevator group control system implemented in C# using the fuzzy-neural network technology. The result of simulation shows that this method realizes reasonable elevator dispatching under various passenger traffic conditions and indicates the validity of this method.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 International Conference on Business Intelligence and Financial Engineering

自引率

0.00%

发文量