Patent ID: 6553269
Filing Date: 2003-04-22
Classification: B66B

Abstract:
An elevator operation management and control system controlling elevators and comprising:a traffic data collecting section for collecting traffic data concerning elevator users of at least one elevator; a traffic amount data calculating section, responsive to said traffic data collecting section, for calculating traffic amount data from the traffic data collected by said traffic data collecting section, the traffic amount data designating number of the elevator users in the at least one elevator at each floor and traveling in each direction at each floor; a traffic flow estimating section, responsive to said traffic amount data calculating section, for calculating an estimated traffic flow of elevator users who move between respective floors via the at least one elevator, based on the traffic amount data calculated by said traffic amount data calculating section, said traffic flow estimating section including a neural network having an input side to which the traffic amount data is supplied and an output side at which the estimated traffic flow is obtained; a control parameter setting section, responsive to said traffic amount data calculating section and said traffic flow estimating section, for setting control parameters for controlling operation of the at least one elevator, based on the estimated traffic flow and the traffic amount data; an operation control section, responsive to said control parameter setting section, for controlling operation of the at least one elevator, based on the control parameter setting section; a teacher data creating section for creating teacher data for learning by said neural network, based on the traffic amount data and traffic flow data, wherein the traffic flow data is determined for each movement of the at least one elevator for each direction of movement, without reversing the direction of movement of the at least one elevator, by counting, for each floor at which the at least one elevator stops, each movement of elevator users between pairs of floors that can be determined, and by equally distributing elevator user movements to pairs of floors at which the at least one elevator stops for movements of elevator users between particular pairs of floors cannot be determined; and an estimating function constructing section, responsive to said teacher data creating section, for constructing a function for calculation of the estimated traffic flow by said traffic flow estimating section, the function being supplied to said traffic flow estimating section, for the learning by said neural network, based on the teacher data created by said teacher data creating section.