Abstract:
According to an aspect, there is provided a method and an apparatus for determining an allocation decision for at least one elevator. In the solution existing calls are used in an elevator system as a first input in a machine learning module. The first input is processed with the machine learning module to provide a first output comprising a first allocation decision. The first output is then used as a second input in an iterative module. The second input is processed with the iterative module to provide a second output comprising a second allocation decision. The second allocation decision is provided to an elevator control module and to an allocation decision storage for further machine learning module training.
Abstract:
A method schedules elevator cars in a group elevator system in a building by first generating a set of probability distributions for arrivals of future passengers at any floor of the building, wherein the set of probability distributions are characterized by probabilistic variables that specify arrival information of the future passengers, wherein the arrival information includes a probability of service requests by the future passengers and a probability of possible times of the service requests. A schedule for the elevator cars is based on the set of probabilistic distribution. Then, the schedule is provided to a controller of the group elevator system to move the elevator cars according to the schedule.
Abstract:
In a method for controlling an elevator system, hints relating to potential elevator passengers are received from at least one observation point connected to the elevator system. Based on the hints, forecasts relating to potential elevator passengers are prepared, on the basis of which forecasts one or more anticipatory control actions are executed.
Abstract:
An intelligent destination elevator control system streamlines the efficiency and control of destination elevators. The system monitors a building's population and predicts elevator traffic conditions. The system may monitor attributes of the destination elevators. Based on the monitored data, the system may generate a data structure that renders time-tables and target elevator service quality parameters that may control the destination elevators.
Abstract:
The present invention discloses a method and a system for modernizing at least one elevator group, which comprises a plurality of elevators, a group control that controls the elevator group as well as call-giving appliances connected to the group control via the landing appliance bus. According to the solution a new group control, new call-giving appliances for the floor levels and also a new landing call bus are installed in the elevator group; a new group control is connected to the pushbutton interface of the old call-giving appliances for transmitting calls given by passengers from the new group control to the old group control. The elevator calls given by passengers are divided between the modernized subgroup and at least one unmodernized subgroup on the basis of the given selection criterion, and a call addressed to the modernized subgroup is allocated in the new group control to the modernized elevators or a call addressed to the unmodernized subgroup is transmitted via the pushbutton interface to the unmodernized subgroup.
Abstract:
The invention relates to a solution for the allocation of destination calls in an elevator system comprising one or more single-deck elevators and one or more multi-deck elevators, in which system the passenger enters a destination call via a destination call device. The destination call entered by the passenger is received, an elevator type to serve the destination call is selected on the basis of an elevator type selection criterion, and the destination call is allocated to an elevator consistent with the elevator type thus selected.
Abstract:
The invention concerns a method for controlling the elevators in an elevator group when destination floor call input is used and the traffic within the elevator group is to be optimized. According to the inventive concept of the method, based on traffic intensity, a cost function is optimized by changing the number of cost criteria from one to several and back and weighting the criteria in different ways in the aforesaid cost function.
Abstract:
A elevator system including a group controller for controlling the dispatching of elevator cars to the lobby. The group controller predicts lobby single source traffic for short periods. When the predicted traffic is below certain limit, cars are assigned to a lobby hall call on demand after hall call registration. When the predicted traffic is above certain limit, cars are assigned to the lobby hall call at intervals. Accordingly, car assignment is scheduled at those intervals. The traffic threshold at which the scheduled mode is activated and the traffic threshold at which it is deactivated is learned by the system. The schedule interval is varied based on predicted traffic and predicted round trip time of the cars. The number of cars assigned and sent to the lobby is varied based on predicted traffic. In order to avoid oscillations in selecting the service mode, proper delays are used to activate and deactivate the scheduled service.
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; and an elevator dispatcher for controlling the operation of the elevator cars during single source traffic conditions in response to the control parameter.
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; a closed loop fuzzy logic controller for providing a control parameter in response to the fuzzy estimates of traffic and traffic rate and in response to an elevator control system output variable, the closed 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 the 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.