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.

1 Introduction

As the most important conveyance, the elevator and its control technology is always the magnitude study task from it emersion. Along with the continuous development of artificial intelligent theory, it is the new study problem that how to apply the study production to the elevator group control system.