Abstract:
A procedure for controlling an elevator group consisting of double deck elevators consists of allocating landing calls to elevators and elevator decks in such a way that passenger journey time is optimized. The time of the call and the estimated time of arrival to destination floor are taken into account. Passenger flow and elevator status within the elevator group are monitored and passenger wait time and arrive time estimated based thereon. The best elevator is selected to minimize passenger wait and ride time. The best deck is further selected based on the estimated wait time and ride time to minimize passenger journey time.
Abstract:
An optimal control method and system of a group of elevator cars is provided. A matrix of origin halls and destination halls is used. In this matrix, each element is referred to as a mission unit. Also, mission groups are defined. Each of the mission groups has one or more mission units and is serviceable by one of the elevator cars. Further, a mission group set is defined as a set of the mission groups provided for the group of elevator cars. Then, the mission groups are dynamically allocated to the group of elevator cars, which produces effective traffic control of the elevator cars.
Abstract:
The invention relates to a procedure for controlling an elevator group consisting of double-deck elevators. According to the invention, landing calls are allocated to the elevators and after that to the elevator decks in such a way that the passenger journey time is optimised. The procedure of the invention takes into account the time the call has been on and the estimated time of arrival to the destination floor.
Abstract:
Elevator group supervisory control method and system for group supervisory control of a plurality of elevators serving a plurality of floors. The method and apparatus of the invention permits the inputting of qualitative requests (guidance), from the user, concerning elevator operation into the group supervisory control system. Qualitative requests concerning elevator operation are set in the form of guidance (or request) targets. The thus set request targets are converted into control targets for the elevators. Actual group supervisory control is executed using the control targets.
Abstract:
A system for controlling elevator cars in a building having a plurality of floors includes a group controller for controlling operation of the elevator cars. The group controller predicts lobby single source traffic for determined 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 schedule interval is varied based on predicted traffic and predicted round trip time of the cars. The cars are assigned to hall calls if they arrive within a schedule window. The schedule window comprises a lower and an upper tolerance that are selected around a scheduled time.
Abstract:
A system for group managing plural elevator cars according to a group management algorithm including plural parameters includes a seeking apparatus for seeking the optimum parameter set, the optimum set being taken from combinations of parameter values given to the group management algorithm. Some new sets are produced by crossover or mutation in the operation of the system. Excellent sets are accumulated in a memory using additional registrations in which excellent sets are additionally stored in the memory and deletions in which impaired sets are deleted from the memory. The optimum set is selected from the accumulated sets, so that the system can efficiently seek the optimum set.
Abstract:
A system including a group controller for controlling the dispatching of elevator cars in a building. The group controller operates by using control parameters stored in its memory. The system records car loads of cars leaving the lobby and the time intervals between their departures and uses fuzzy logic to categorize the car loads and intervals into fuzzy sets. The system determines the lobby traffic and traffic rate using fuzzy relations among car loads, departure intervals, lobby traffic and traffic rate and the fuzzy logic rules. The group controller collects traffic data during operation. The system runs simulations off-line, after single source traffic periods, using the specified control parameter values. The system collects and analyzes performance data to identify significant deviations from acceptable performances. New sets of control parameters are selected using appropriate specified rules. The process of simulation and learning new values of control parameters are repeated until acceptable performance is achieved. The selected parameters are used in system operation. The group controller repeats this process of simulation and learning the parameters periodically.
Abstract:
An elevator control apparatus determines an estimated car delay when the elevator car stops at or passes an elevator hall and controls an operation of the car using the obtained estimated car delay. The elevator control apparatus includes an input data conversion unit for converting traffic data, including position of the car, direction of movement, and car calls and hall calls, such that it can be used as input data of a neural net. An estimated car delay operation unit includes an input layer for taking in the input data, an output layer for outputting the estimated car delay, and an intermediate layer provided between said input and output layers in which a weighting factor is set. An output data conversion unit converts the estimated car delay output from the output layer such that it can be used for a predetermined control operation. The estimated car delay operation unit constituting a neural net.
Abstract:
A traffic volume estimating apparatus 1A estimates the traffic volumes of traffic apparatus, and a traffic flow presuming apparatus 1B presumes the traffic flows generating the estimated traffic volumes. A presumption function constructing apparatus 1C corrects the presumption functions of the traffic flow presuming apparatus 1B on actually measured traffic volumes, traffic flow presumption results and control results. A control result detecting apparatus 1G detects the control results and the drive results of the traffic apparatus. Further, a control parameter setting apparatus 1D sets control parameters on traffic flow presumption results, and corrects the control parameters according to the control results and the drive results.
Abstract:
The traffic mode of an elevator system is set according to the number and frequency of passengers departing and arriving at a building lobby. The traffic mode is expressed as a fuzzy logic set having a term indicative of up peak mode, a term indicative of down peak mode, and a term indicative of off peak mode. The degrees of membership of each term are indicative of the degrees to which the elevator system exhibits characteristics of the respective modes.