Patent ID: 6325178
Filing Date: 2001-12-04
Classification: B66B

Abstract:
An elevator group managing system for managing a plurality of elevators in a group, said elevator group managing system comprising:traffic situation detecting means for detecting a current traffic situation of a plurality of elevators;a rule base storing a plurality of control rule sets;performance predicting means for predicting group management performance obtained when applying each rule set stored in said rule base to the current traffic situation;rule set selecting means for selecting an optimal rule set from said rule base in accordance with the group management performance predicted by said performance predicting means;operation controlling means for operation control of each of the elevator cars based on the rule set selected by said rule set selecting means; anda weight database storing weighting parameters of a neural network corresponding to each rule set stored in said rule base, wherein said performance predicting means determines whether a neural network prediction is valid or invalid for each rule set stored in said rule base, and,when the neural network prediction is valid fetches, the weighting parameters of the neural network corresponding to the rule set from said weight database and predicts the group management performance and,when the neural network prediction is invalid, predicts the group management performance when each rule set stored in the said rule base is applied to the current traffic situation based on a mathematical model.