Abstract:
To assign a car to a hall call such that cars tend to be equally spaced apart and so that bunching of cars is avoided, the position of each car is predicted over a given period by estimating where it will arrive and leave each of its committed stops over that period for a given set of hall call/car call assignments, a bunching measure is calculated and a car to hall call assignment is made in response to the bunching measure.
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:
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.
Abstract:
An uncertainty filter is provided with input data which is indicative of a fuzzy logic set having basis elements corresponding to elevator cars of an elevator system having degrees of membership associated therewith corresponding to the utility (suitability) of assigning the associated car to service a hall call. The uncertainty filter chooses a car corresponding to the term from the set having the highest degree of membership. The choice can be delayed until; a predetermined amount of time has passed; the degree of membership exceeds a predetermined amount; or the degree of certainty (the degree of membership of the chosen car over the sum of degrees of membership of the other cars) is more than a predetermined amount; or until either the degree of membership or the degree of certainty meets a value which varies as a function of time from when a hall call was registered.
Abstract:
An elevator control apparatus capable of predicting reversion floors of elevator cages accurately. The control apparatus comprises a neural network, in which traffic state data are fetched into the neural network, so that predicted values of floors where the moving direction of each cage is reversed are calculated as predicted reversion floors. In the elevator control apparatus, reversion floors near true reversion floors can be predicted flexibly correspondingly to traffic state and traffic volume.
Abstract:
A method and apparatus for group-supervising an elevator system according to this invention consists in predicting the position of operating cages after the lapse of a predetermined time, detecting an unoccupied cage and tentatively setting the standby position thereof, so as to predict the position of unoccupied cages after the lapse of the predetermined time under the condition that the detected unoccupied cage is run to the set position and is caused to stand by there, predicting, from the positions of the cages, the number of cages which will lie in certain floors or certain floor zones after the lapse of the predetermined time and estimating the numbers of cages in association with the floors, whereby the floor in which the unoccupied cage is to stand by is selected.
Abstract:
The invention relates to call registration wherein of a plurality of elevators an elevator which a user (passenger) wants to ride is called to the elevator hall of the user. A display is provided at an elevator hall for users. When a user depresses a hall calling button, a group supervisory controller determines and selects a suitable elevator, and causes the condition of the elevator to be displayed on the display in the form of sentences or the like. If the user is satisfied with the selected elevator, the hall calling button is not actuated again. If the user is dissatisfied with the selected elevator, the hall calling button is depressed again so that the controller selects another elevator for service to the user.
Abstract:
A group supervision apparatus for an elevator system having hall call registration devices for registering each hall when a hall button is depressed, assignment apparatus for selecting a cage to-serve from among a plurality of cages and assigning the selected cage to the hall call, cage control apparatus for performing operation controls such as determining travelling directions of the cages, starting and stopping the cages, and opening and closing doors of the cages, and for causing the cages to respond to cage calls and the hall calls allotted to the assigned cages, and standby devices for causing, when the cages have responded to all the calls, the cages to stand by at floors where they have responded, or to run to predetermined floors and stand by; the apparatus being so constructed that cage positions and cage directions of the respective cages to arise after the cage calls and the allotted hall calls have been successively responded to since the present point of time, during a predetermined time, are predictively calculated by cage position prediction devices, that temporal intervals or spatial intervals of the respective cages to arise after the lapse of the predetermined time are predictively calculated on the basis of the predicted cage positions and the predicted cage directions by cage interval prediction devices, and that at least one of the assignment apparatus, the cage control apparatus and the standby devices is operated using the predicted cage intervals.
Abstract:
The group supervisory apparatus for an elevator according to one aspect of the present invention for assigning a plurality of cages to a hall of congestion when the congestion of the hall is detected comprises reference service interval setting means for setting a reference value of a period (hereinbelow termed "a reference service interval") from when the cage to be previously serviced becomes a first state states of a cage are termed arbitrarily upon operations, such as the decisions of the stop of the cage, the opening/closing operation of the door, the open state of the door, the start, or the stop) to when the cage to be serviced later becomes a second state of one of the above-described states in response to the traffic volume of the hall of congestion. This aspect of the present invention further comprises reference time setting means for setting a reference value of a time (hereinbelow termed "a reference time") when the other cage becomes the second state in the hall of congestion on the basis of the first state time of the predetermined cage and the reference service interval in response to the number of the cages of additional assignment, second state time predicting means for predicting a time when the cage becomes the second state in the hall of congestion, and additional assigning means for selecting and assigning the cage having a small deviation between the second state predicting time and the reference time as the cage of additional assignment.