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 method and an apparatus for elevator group control, capable of performing the elevator car allocation control with the evaluation characteristics and the control parameters which are most appropriate for a unique situation of each building. In the apparatus, a hall call allocation control to determine a most appropriate one of the elevator cars to respond to a hall call produced at one of the destination floor, is performed by carrying out evaluations in accordance with a given traffic demand of the elevator system; and the control parameters to be utilized in carrying out the evaluations, are determined in accordance with a response resulting from the hall call allocation control and the given traffic demand.
Abstract:
A method of minimizing car bunching at any traffic flow level allocates closely adjacent stops to a given car which is favored by a variable, readjustable distributor bonus. The estimated lost time costs of all passengers are computed for each elevator and for each hall call, these costs are reduced by a variable distributor bonus concentrating adjacent stops in one car, and a hall call is then allocated for service to that elevator which displays the lowest, reduced estimated lost time costs. In order to assure the function of this method equally at high and low traffic levels, the variable distributor bonus (Bvn) is readjusted to the traffic flow level (Va) which serves as a tracking parameter by means of a tracking function according to the relationship Bvn=Bv.F(Va) and the readjusted variable distributor bonus is defined thereby. The tracking function F(Va) is determined by one of artificial intelligence methods and expert programs. By the dependence of the distributor bonus on traffic flow, the desired small local bunching of elevator cars is an optimum for every traffic level. This method is applicable to a plurality of different allocation criteria, service requests and tracking parameters.
Abstract:
An elevator group management system for managing a plurality of elevators is disclosed wherein the system comprises a plurality of control devices for executing overall assignment processes of the elevators in response to hall calls which take place on particular floors and a plurality of sub tasks, distributedly disposed in the control devices. for calculating times for which the elevators respond to the hall calls. When the control devices receive hall calls at the same time or nearly at the same time, they in parallel activate sub tasks distributedly disposed in the control devices and determine most suitable elevators in response to the hall calls.
Abstract:
Factors (IFL, UPK, DPK) indicative of the relative need for an elevator system to be operating in off-peak, up-peak and down-peak modes, respectively, are compared and if the relative need for up-peak is greater than for off-peak or down-peak, the ratio of up-peak need to total need is utilized to assign a proportionate number of elevator cars to up-peak service. Cars are chosen for up-peak service based upon the estimated relative speed with which the cars will be able to return to the lobby. The details of one embodiment include determining interfloor traffic by examining expected destinations of passengers estimated to be waiting behind hall calls and examining the lobby and non-lobby car calls which are registered.
Abstract:
The utility of assigning each car of an elevator system to service a hall call is determined by estimating the performance of each elevator car using a plurality of performance criteria. The performance criteria are then scaled by values indicative of the customer preferences for elevator system performance in order to form a plurality of scaled performance fuzzy sets. An assignment utility fuzzy set is formed from terms of the scaled performance fuzzy sets. The utility of assigning each car to service a particular hall call is then set equal to the maximum value of the degrees of membership of all of the terms of the scaled performance fuzzy sets. Alternatively, the utility of assigning each car to service a particular hall call can be set equal to the minimum value of the degrees of membership of all of the terms of the scaled performance fuzzy sets.
Abstract:
A system for selecting an elevator in a group consisting of elevators serving the floors of a building, each floor being provided with call input devices for the input of the passengers' calls, the elevator group having a group control unit controlling the group and provided with at least one computer. On the basis of the call sent by a call input device, the group control unit finds out which call input device has issued the call and selects one of the elevators for serving the floor in question on the basis of the passengers' location on the landing according to the information thus obtained.
Abstract:
In a group-management control apparatus for an elevator system with plural elevators capable of serving plural floors, hall calls are allotted to adaptive elevators in accordance with a predetermined hall call allotment algorithm, for the purpose of achieving desired control targets. Plural kinds of the hall call allotment algorithm with different schemes are provided in advance, and the predetermined hall call allotment algorithm is selected therefrom by a reasoning operation, which is executed in accordance with a reasoning rule selected from among a plurality of reasoning rules empirically provided in advance on the basis of the desired control targets and an operating state of the elevators.
Abstract:
The present invention is directed to the grouping of contiguous floors in a building into sectors. According to the present invention, historical information regarding the number of passengers arriving at each floor is obtained and used to predict the number of passengers to be arriving at each of the floors. By summing the predicted traffic per floor and dividing by the number of sectors to be formed, average traffic per sector can be determined. In the preferred embodiment, sectors are formed, starting from the first floor above the lobby and continuing through to the top floor in the building, by selecting a set of contiguous floors for each sector such that the predicted traffic for each sector is less than a predetermined threshold. Specifically, if the predicted traffic for a selectable next contiguous floor, added to the predicted traffic for all contiguous floors already selected for the sector, is less than the predetermined threshold, the selectable floor is included in the sector. Otherwise, another sector is begun with the selectable floor as the bottom floor in the other sector. In the preferred embodiment, the predetermined threshold is based on the determined average traffic per sector. In another aspect of the present invention, the frequency of service of elevator cars to each sector is variable. The traffic volume for each formed sector is determined and compared with the determined average traffic per sector. The frequency of service of elevator cars to each sector is variable, based on this comparison. Thus, sectors having a larger traffic volume are serviced more often, relative to sectors having a smaller traffic volume.
Abstract:
An elevator system employing a micro-processor-based group controller (FIG. 2) communicating with the cars (3, 4) to assign cars to hall calls based on a Relative System Response (RSR) approach. However, rather than using unvarying bonuses and penalties, the assigned bonuses and penalties are varied using "artificial intellience" techniques based on combined historic and real time traffic predictions to predict the number of people behind a hall call, and, calculating and using the average boarding and de-boarding rates at "en route" stops, and the expected car load at the hall call floor. Prediction of the number of people waiting behind hall calls for a few minute intervals are made using traffic levels measured during the past few time intervals on that day as real time predictors, using a linear exponential smoothing model, and traffic levels measured during similar time intervals on previous similar days as historic traffic predictors, using a single exponential smoothing model. The remaining capacity in the car at the hall call floor is matched to the waiting queue using a hall call mismatch penalty. The car stop and hall stop penalties are varied based on the number of people behind the hall call and the variable dwell times at "en route" stops. The stopping of a heavily loaded car to pick up a few people is penalized using a car load penalty. These enhancements to RSR result in equitable distribution of car stops and car loads, thus improving handling capacity and reducing waiting and service times.