Abstract:
An controlling apparatus for a double deck elevator is disclosed. An allocation control unit (5), when a predetermined specified floor is registered in an elevator hall call registering unit (4) in a double operation mode, makes both of upper and lower cages of each double deck elevator respond thereto. Each cage call registering unit (9) is capable of registering a cage call to both of the upper and lower cages in the double operation mode as far as the specified floor is concerned. An operation control unit (8) in each elevator controls operations of the upper and lower cages to respond to the elevator hall call to the specified floor which is allocated by the allocation control unit (5) and to a cage call to the specified floor which is registered in the cage call registering unit (9).
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.
Abstract:
An elevator system for up-peak servicing of a building having a dual lobby. The system includes a controller having an electronic processor coupled to a memory; a plurality of elevator cars controllably connected to the controller, a dual lobby routine stored within the memory, the dual lobby routine includes instructions for dispatching at least one of the elevator cars to a lower lobby during up-peak, indicating a sector assigned to the car, nudging (if needed) the car if a lower lobby time-out is exceeded, dispatching the car to the upper lobby if a load weight threshold is not exceeded, and then indicating the sector assigned to the car while the car is located at the upper lobby.
Abstract:
The invention relates to a procedure for controlling an elevator group. According to the invention, the landing calls issued from different floors are weighted by a floor-specific weight factor. The weighted call time is utilized in the calculation of the serving time of the calls and for the selection of the best elevator to serve a landing call.
Abstract:
The present invention is directed to determining an arrival time for each of the passengers boarding an elevator car. Where the elevator car stops at a floor in response to a hall call request, the arrival time of the passengers which boarded the elevator car is preferably determined based the time period between when the hall call was registered and when the elevator car door closed. Where the elevator car stops at a floor in response to a car call registered within the elevator, the arrival time of the passengers which boarded the elevator car is preferably determined based on the time period between when the elevator stopped at the floor and when the elevator car door closed. Alternatively, the time period between when the elevator car door opened and when the elevator car door closed can be used. In the preferred embodiment, the first passenger is assumed to have an arrival time corresponding to the beginning of the time period. If more than one passenger boarded the elevator, the passengers are assumed to have arrived in a distributed fashion over this time period.
Abstract:
A system for allocating hall calls in a group of elevators includes a plurality of neural network modules to model, learn and predict passenger arrival rates and passenger destination probabilities. The models learn the traffic occurring in a building by inputting to the neural networks traffic data previously stored. The neural networks then adjust their internal structure to make historic predictions based on data of the previous day and real time predictions based on data of the last ten minutes. The predictions of arrival rates are combined to provide optimum predictions. From every set of historic car calls and the optimum arrival rates, a matrix is constructed which stores entries representing the number of passengers with the same intended destination for each hall call. The traffic predictions are used separately or in combination by a group control to improve operating cost computations and car allocation, thereby reducing the travelling and waiting times of current and future passengers.
Abstract:
An elevator system (FIG. 1) employing a microprocessor-based group controller (FIG. 2) communicating with elevator cars (3,4, . . . ) to derive relative prediction values to be used in a scheme of ultimately assigning, e.g., cars to hall calls at a plurality of floors in the building, using appropriate dispatching strategies based on predicted traffic conditions. In the algorithm of the invention (FIG. 3) the building's inhabitants' behavior based on weekly events, daily events and real time events is predicted, with the events being used to derive relative prediction values based on the weighted summation of the real, daily and weekly values of the events. Weekly events are considered to be those that happened over a past number of weeks (e.g. 10 weeks) on the same day of the week; while daily events are those that happened over the past few days (e.g. 5 days). Real time events are those which are effectively currently happening, with the time frame of reference being sufficiently short to produce data which effectively can be considered "real time" data, typically covering only a matter of some minutes (e.g. 4 minutes) or even less. In determining what events recorded in the daily and weekly historic data bases are to be used in deriving the predicted relative values, the degree of the certainty of the data is evaluated using two threshold considerations, and historic factors based on data which fails to have the requisite certainty is not used in the predictions.
Abstract:
Elevator control software uses a signal from a passenger weight sensor and observed weight fuzzy logic sets to provide a fuzzy logic set indicative of the number of passengers in an elevator car. Optionally, the fuzzy set is defuzzified to produce a single crisp value indicative of the number of car passengers. Also, a table having indices corresponding to passenger weights and entries corresponding to the number of passengers in an elevator can be constructed using the plurality of observed weight fuzzy sets.