Dynamic Optimized Dispatching System for Elevator Group Based on Artificial Intelligent Theory
A dynamic optimized dispatching system for elevator group based on synthetically application the artificial intelligent technology is presented in this paper. The elevator group is divided into five traffic modes according to the actual traffic flow by using an expert system based on artificial neural network firstly, and then a synthetically estimate parameter of elevator dispatching calculated found on fuzzy control theory in every identified traffic mode according the needs of passengers and the requirements of managers. The simulation is in allusion to the data of a office building by the MATLAB. The elevator dispatching pattern is optimized, the service quality of elevator is improved, and the transportation efficiency of elevator is increased by using this control system.
Elevator group control dynamic optimized dispatching system artificial neural network fuzzy control theory expert system
Cao Liting Zhang Zhaoli Hou Jue
Beijing Union University,Beijing 100101 China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）