Abstract:
An improved group management control method for an elevator capable of efficiently performing a group management control of an elevator based upon the building condition by deciding a corresponding car to be allocated in accordance with a predetermined hall call based upon a traffic flow and the fuzzy theory which are differ from the characteristics of each building, which includes the steps of a traffic flow collecting step for collecting information concerning a current traffic flow occurred at each hall call and car; a traffic flow study step for studying information collected at the traffic flow collecting step; a traffic flow anticipating step for anticipating a traffic flow after a predetermined time based upon the information studied at the traffic flow study step; a specific mode judgement step for judging a specific mode corresponding to the traffic flow anticipated at the traffic anticipating step; an allocation control strategy establishment step for establishing control strategy for allocating a proper car based upon a specific mode judged at the specific mode judgement step and the information and role defined by building manager; a comprehensive evaluation function operation step for operating a comprehensive evaluation function for each car when a hall call occurs; an allocation possible car selection step for selecting a predetermined car possible for a hall call based upon the comprehensive evaluation function operated at the comprehensive evaluation function operation step; a control item value operation step for operating an input value per control item for an allocated possible car selected at the allocation possible car selection step; and an allocated car decision step for deciding a car based upon a predetermined estimated rule using an input value per control item operated at the control item value operation step.
Abstract:
The feature distinguishing part distinguishes feature modes from the traffic volume data detected by the traffic volume detecting part or from the traffic volume data estimated from the detected traffic volume data by the traffic volume estimating part, and the control parameter setting part sets the optimum control parameter according to the distinction results, further the drive controlling part controls the drive of cars on the control parameters. The distinction function constructing part constructs and modifies the distinction function of feature modes by learning prepared plural feature modes or the distinction results of past feature modes, furthermore the control result detecting part detects the control results or the drive results of cars, and corrects the control parameters. The control results or the drive results are exhibited on the user interface, and the control parameters are set and corrected from the outside by referring the results.
Abstract:
The number of hall passengers waiting at a stop for service by an elevator car is determined by first calculating instantaneous passenger rates whenever a hall call button is pressed or whenever passengers board an elevator car. The instantaneous passenger rates are scaled to compensate for the inherent differences in service rates of the stops. The scaled rates are averaged into one or more of an up, down, or off peak quantities depending upon the mode of the elevator system. The number of hall passengers waiting at a stop is then calculated by multiplying one or more of the up, down, or off peak quantities, depending upon the mode of the elevator system, by the elapsed time since the stop was last serviced.
Abstract:
A computer based elevator system (FIG. 1) including data "filtering" means evaluating at least part of the system's over-all operational, historic data base, determining when significant traffic density was present in the system and then selecting out such data, saving it in a special data base. Boarding and de-boarding count data is separately processed on a floor-by-floor, time-interval-by-time-interval, sequential basis and evaluated with respect to two base lines (FIGS. 2A and 4)--a first, "end" base line ("E") based on a preset, lower percent of the total floor's population ("F.P."; e.g. E=1% F.P.), and a second, "start" base line ("S") baased on a preset, higher percent of that floor's total population (e.g. S=3% F.P.); and two time frames--a first, minimum time frame ("T.S.") based on the time (e.g. 18 minutes) the values must stay above "S" for significant traffic density to be considered present, and a second, maximum time frame ("T.E.") based on the maximum allowed time the values (which previously met the first percent and time requirements) may go and continuously stay below "E", which, when this time maximum (e.g. 6 minutes) is exceeded, is considered the end of the significant traffic density period for those time intervals. All data that meets those criteria is "filtered" through from the incoming data, producing the blocks of filtered data of FIGS. 3 and 5, representing only that data which had been recorded during significant traffic density conditions.
Abstract:
An elevator system containing a group of elevator cars (1-4) and a group controller (32) having signal processing means (CPU) for controlling the dispatching of the cars from a main floor or lobby (L) in relation to different group parameters. During up-peak conditions, each car is dispatched from the main floor to an individual plurality of contiguous floors, defining a "sector" (SN). Sectors are contiguous, and the number of sectors may be less than the number of cars, and a floor can be assigned to more than one sector. Floors that constitute a sector assigned exclusively to a car are displayed on an indicator (SI) at the lobby. Cars are selected for assignment by grouping floors into sectors and appropriately selecting sectors, so that each elevator car handles more or less an equal predicted traffic volume during varying traffic conditions, resulting in the queue length and waiting time at the lobby being decreased, and the handling capacity of the elevator system increased. Estimation of future traffic flow levels for the various floors for, for example, each five (5) minute interval, are made using traffic levels measured during the past few time intervals on the given day as real time predictors, using a linear exponential smoothing model, and traffic levels measured during similar time intervals on previous days as historic traffic predictors, using a single exonential smoothing model. The combined estimated traffic is then used to group floors into sectors ideally having at least nearly equal traffic volume for each time interval.
Abstract:
In a method for coordinating elevator group traffic in a building with one or more change levels constituting an end station for elevator groups operating above and below the change level, and in order to reduce waiting times in tall buildings, the control of at least some of the elevator groups operating on opposite sides of the change level is subordinated to a centralized control algorithm which, depending on the traffic condition, alters the control parameters for the elevator groups in such manner that, when the main direction of traffic is upwards, in order to serve the passengers of the elevators arriving from one side of the change level, either the elevators operating on the other side are caused to arrive more quickly to the change level to minimize the waiting time for the passengers arriving from the opposite side, and/or the departures of the elevators which have stopped at the change level are retarded to allow the passengers arriving from the other side to get on board, and that when the main direction of traffic is downwards, in order to serve the passengers of the elevators arriving from one side of the change level, either the elevators are caused to arrive quicker to the change level and/or the elevators on the other side are kept waiting to allow the arriving passengers to catch them.
Abstract:
Elevator system with multiple cars (1-4) and a group controller (32) having signal processing means (CPU) controlling car dispatching from the lobby (L). During peak conditions (up-peak, down-peak and noontime), each car is dispatched and assigned to hall call floors having a large predicted number of passengers waiting on priority basis, resulting in queue length and waiting time at the lobby and upper floors being decreased, and system handling capacity increased. Estimations of future traffic flow levels for the floors for five 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. Combined prediction is used to assign hall calls to cars on priority basis for those floors having predicted high level of passenger traffic to limit maximum waiting time and car load. Noontime priority scheme is based on multiple queue sizes and percentages of maximum waiting time limits. Different waiting time limits can be used for lobby and above lobby up and down hall calls with automatic adjustment. During up-peak the lobby is given high priority. The lobby queue is predicted using passenger arrival rates and expected car arrival times. Down-peak operation uses multiple queue levels and percentages of waiting time limits, with estimated queues based on passenger arrival using car-to-hall-call travel time.
Abstract:
An elevator control system employing a micro-processor-based group controller (FIG. 2) which communicates with the cars (3, 4) of the elevator system to determine conditions of the cars and responds to hall calls registered at a plurality of landings in the building serviced by the cars under control of the group controller, to provide assignments of the hall calls to the cars based on the summation for each car, with respect to each call, a weighted summation of a plurality of system response factors, some indicative, and some not, of conditions of the car irrespective of the call to be assigned, assigning "bonuses" and "penalties" to them in the weighted summation. In the invention, rather than a set of unvarying bonuses and penalties being assigned based on the relative system response factors, the assigned bonuses and penalties are varied based on the perceived intensity of traffic, as measured by, for example, a past average waiting time and the elapsed time since registration of the hall call, a selected past five minute average waiting time being exemplary. Exemplary apparatus (FIGS. 1 and 2) and a logic flow diagram (FIG. 3) illustrate a specific manner of assigning calls to cars. Tables set forth exemplary varying bonus and penalty values to be assigned, depending on the ratio of the hall call registration time to the selected average hall call waiting time (Tables 1 and 2) or on their differences (Table 3).
Abstract:
An elevator system contains a group of elevator cars. A group controller contains signal processing means for controlling the dispatching of the cars from a main floor or lobby in relation to different group parameters. During up-peak conditions, each car is dispatched from the main floor to an individual plurality of contiguous floors, defining a "sector". Sectors are contiguous. The number of sectors may be less than the number of cars. Floors that constitute a sector assigned exclusively to a car are displayed on an indicator at the lobby. Sectors and cars are selected for assignment in a cyclical or round-robin sequence. If the next car selected is not available for assignment, another car is selected. If no car calls are made to the floors in the sector that is assigned to a car, the next sector is selected. The floors in the sector assigned to a car are displaced to direct passengers to the car. If car calls to the floors are not made, the car doors are closed and a new sector is assigned to the car according to the sequence.
Abstract:
An elevator system including supervisory system control for controlling a plurality of elevator cars to answer calls for elevator service. The supervisory system control, using information provided by the cars, groups the floors of a building, and service directions therefrom, into sets, each of which indicates those floors and service directions served by the same combination of in-service elevator cars. The supervisory system control periodically determines, for each set, the average number of floors and service directions therefrom, and the average number of calls, per in-service elevator car serving the set. The supervisory system control then assigns floors and service directions therefrom to the cars, using these averages, to substantially equally distribute the floors, and service directions therefrom, for each set, among the elevator cars serving the set, as well as to substantially equally distribute the calls for elevator service among the elevator cars.