Abstract:
A method controls the distribution of free cars in an elevator system. First, the number of free cars in the elevator system are counted whenever this number changes. At the same time, the arrival/destination rates of passengers at each of the floor is determined. The rates are used to identify up-peak and down-peak traffic patterns. The floors of the building are then assigned to zones. The number of floors in each zone is determined according to the arrival rates, and the free cars are then parked in the zones so that the expected waiting time of the next arriving passenger is minimized.
Abstract:
A method controls an elevator system including multiple elevator cars and multiple floors. A new passenger at one of the floors signals a hall call. In response to receiving the hall call, the method determines, for each car, a set of all possible future states of the elevator system. The future states depend on the current state of the system, which is defined by passengers already assigned to cars, the direction of travel, position and velocity of the cars. A cost function is evaluated to determine a cost for each set of all possible future states. Then, the car associated with the set having a least cost is assigned to service the hall call. The method is applicable to any type of traffic. It is particularly well-suited for up-peak traffic because it handles efficiently the uncertainty in passenger destinations.
Abstract:
In an elevator system in which two cars operate in each shaft, there is provided an elevator group control apparatus providing efficient services while preventing collisions of cars in each shaft. The elevator group control apparatus includes a traffic detection part which detects data of car traffic generated in a building; a zone setting part which sets a dedicated zone and a common zone for each of upper and lower cars in accordance with detection by the traffic detection part; an assignment decision part which decides a car to be assigned to a call generated at a hall in accordance with the call generation floor, direction of response to the call, and a zone set by the zone setting part; an entry determination part which, when a first of two cars in each shaft is coming into the common zone from its dedicated zone, determines, based on position, direction of movement, and state of the other car in the same shaft, whether the first car in each shaft is permitted to enter the common zone; a passing-by instruction part which gives a passing-by instruction to a prescribed floor in the dedicated zone to make each car exit from the common zone to its dedicated zone after each car has entered the common zone; and an operation control part which controls operation of each car based on a decision by the assignment decision part, a determination by the entry determination part, and an instruction by the passing-by instruction part.
Abstract:
The present invention improves the performance of the group control of elevators by shortening the waiting time for connections to the top floor in a system composed of a plurality double deck elevators having upper decks (1aU)null(1eU) and lower decks (1aL)null(1eL), respectively.
Abstract:
A rule base storing control rule sets predicts elevator group management performance, such as waiting time distribution, obtained when applying each rule set stored in the rule base to the current traffic situation, and selects a rule set in accordance with a performance prediction. In addition, a weight database stores weighting parameters of a neural network corresponding to the rule sets and performance learning measures for correcting the weighting parameters in accordance with learning by the neural network. As a result, the optimal rule set is applied at all times for group management control of the elevators to provide passengers with excellent service and to enhance prediction accuracy in correspondence with the actual operational situation of the elevators.
Abstract:
A rule base storing control rule sets simulates the behavior of each car of an elevator system in real time by assigning scanning to each car which is caused to run until the direction of running is reversed, while applying a specified rule set in the rule base to the current traffic condition, and predicts group supervisory control performance upon application of the specified rule set. In response to the results of performance prediction, an optimal rule set is selected and a real time simulation can be carried out during a group supervisory control operation, so that group supervisory control can be performed on multiple elevator cars while applying the optimal rule set at all times, thus providing excellent service.
Abstract:
An elevator group control apparatus for controlling operations of an elevator system with multiple cars moving within a single elevator shaft with improved efficiency without a collision between the cars. When an elevator-hall call is registered, first and second times at which individual cars are expected to arrive at individual floors where the elevator-hall call is registered are computed. The probability of occurrence of a collision between the cars is computed, determining whether a remaining car in the shaft must be shunted. A shunting floor is designated if necessary.
Abstract:
The present invention prepares a rule base storing a plurality of control rule sets, simulates the behavior of each car in real time by assigning scanning to each car which is caused to run until the direction of running thereof is reversed while applying a specified rule set in the rule base to the current traffic condition, and predicts group supervisory control performance which is obtained upon application of the specified rule set. In response to the results of performance prediction, an optimal rule set is selected and a real time simulation can be carried out during a group supervisory control operation, so that group supervisory control can be performed on a plurality of elevators while applying thereto the optimal rule set at all times, thus providing excellent service.
Abstract:
A method for training a neural network used to estimate for an elevator the remaining response time for the elevator to service a hall call. The training, which results in adjusting connection weights between nodes of the neural network, is performed while the elevator is in actual operation. The method is not restricted to any particular architecture of neural network. The method uses a cutoff to limit changes to the connection weights, and provides for scaling the different inputs to the neural network so that all inputs lie in a predetermined range. The method also provides for training in case the elevator is diverted from servicing the hall call by an intervening hall call.
Abstract:
A group controller for controlling elevator cars in a building having a plurality of floors includes a traffic and traffic rate estimator for providing fuzzy estimates of traffic and traffic rate; an open loop fuzzy logic controller for providing a control parameter in response to the fuzzy estimates of traffic and traffic rate, the open loop fuzzy logic controller having membership functions for fuzzy sets of the control parameter; an adaptive controller for modifying the membership functions of the fuzzy sets of the control parameter in response to an elevator control system output variable; and an elevator dispatcher for controlling the operation of the elevator cars during single source traffic conditions in response to the control parameter.