Multi Elevator Intelligent Scheduling Algorithm Based on Fuzzy Control
LI Xueyan
LI Daming
Abstract：Traffic state is important background multi-elevator dispatching system research ,generate traffic flow is formed by the flow of passengers ,and the passenger elevator is transported object ,namely transport system and transport related objects .Therefore ,by analyzing the dynamic trend of forecasting traffic flow ,the appropriate mode of transport can be determined ,thus multi-elevator system can be optimized scheduling ,so as to reduce passenger riding time ,improve deliv-ery efficiency elevator ,reduce the number of start-stop system ,elevators ,reduce energy consumption .In this paper ,multi-elevator scheduling algorithm is optimized by using fuzzy control theory to optimize .Fuzzy control is an important part of ar-tificial intelligence ,an intelligent computer control combined with expert control theory ,control theory ,fuzzy set theory and neural network control ,fuzzy variables and fuzzy reasoning .
Keywords：fuzzy controlartificial intelligencecontrol theoryneural networkfuzzy variables
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1835-1838 )