Schedule windows for an elevator dispatcher
    11.
    发明授权
    Schedule windows for an elevator dispatcher 失效
    安排电梯调度员的窗口

    公开(公告)号:US5808247A

    公开(公告)日:1998-09-15

    申请号:US568894

    申请日:1995-11-30

    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 translation: 用于控制具有多个楼层的建筑物中的电梯轿厢的系统包括用于控制电梯轿厢的操作的组控制器。 组控制器预测大堂单一来源流量在确定的时间段内。 当预测的交通量低于一定限度时,在门厅通话登记后,汽车按需分配到大厅门厅。 当预测的交通流量超过某一限度时,汽车会间隔分配给大厅门厅通话。 因此,以这些间隔安排汽车分配。 调度间隔根据车辆的预计交通量和预测的往返时间而变化。 如果汽车在时间表窗口中到达,则将其分配给门厅呼叫。 调度窗口包括围绕预定时间选择的较低和较高公差。

    Estimation of lobby traffic and traffic rate using fuzzy logic to
control elevator dispatching for single source traffic
    12.
    发明授权
    Estimation of lobby traffic and traffic rate using fuzzy logic to control elevator dispatching for single source traffic 失效
    使用模糊逻辑估算大厅流量和流量速率,以控制单一来源流量的电梯调度

    公开(公告)号:US5750946A

    公开(公告)日:1998-05-12

    申请号:US564527

    申请日:1995-11-30

    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 translation: 一种包括用于控制建筑物中的电梯轿厢的调度的组控制器的系统。 组控制器通过使用存储在其存储器中的控制参数进行操作。 系统记录离开大厅的汽车的负载和其离开之间的时间间隔,并使用模糊逻辑将汽车负载和间隔分类为模糊集。 系统使用汽车负载,出发间隔,大厅流量和流量速率之间的模糊关系以及模糊逻辑规则来确定大厅流量和流量速率。 组控制器在操作期间收集流量数据。 系统使用指定的控制参数值,在单个源流量周期之后离线运行模拟。 系统收集和分析性能数据,以确定与可接受性能的显着偏差。 使用适当的指定规则选择新的控制参数集。 重复控制参数的新值的仿真和学习过程,直到达到可接受的性能。 所选参数用于系统操作。 组控制器重复这个仿真过程并定期学习参数。

    ">
    13.
    发明授权
    "Artificial intelligence", based learning system predicting "peak-period" t i 失效
    “人工智能”,基于学习系统预测电梯调度的“高峰期”时间

    公开(公告)号:US5241142A

    公开(公告)日:1993-08-31

    申请号:US644356

    申请日:1991-01-22

    Abstract: The present invention is directed to an elevator dispatching system for controlling the assignment of elevator cars. More particularly, the present invention is directed to a method of determining the commencement and/or conclusion of UP-PEAK and DOWN-PEAK periods of operation. For example, for commencing UP-PEAK operation, a lobby boarding rate is predicted, based on historical information of the number of passengers boarding the elevators at the lobby and the number elevators leaving the lobby. The predicted lobby boarding rate is compared with a predetermined threshold value. If the predicted lobby boarding rate is greater than the predetermined threshold value, UP-PEAK is commenced. In the preferred embodiment, the predetermined threshold value is a predetermined percentage of the elevator car's capacity. Additionally, the present invention is directed to a method of adjusting the threshold value based on actual passenger traffic. For example, once UP-PEAK is commenced, the load of the first few elevators leaving the lobby within a predetermined time interval is determined, and the threshold value is adjusted based on their determined load. If the determined load is greater than a certain percentage of the elevator car's capacity, indicative of starting UP-PEAK too late, the threshold value is decreased. Similarly, if the determined load is less than a certain percentage of the elevator car's capacity, indicative of starting UP-PEAK too soon, the threshold value is increased.

    Abstract translation: 本发明涉及一种用于控制电梯轿厢分配的电梯调度系统。 更具体地,本发明涉及一种确定UP-PEAK和DOWN-PEAK操作周期的开始和/或结论的方法。 例如,为了开始UP-PEAK操作,可以根据登上大厅的电梯的乘客人数和离开大厅的数字电梯的历史信息预测大厅登机率。 将预测的大厅登机率与预定的阈值进行比较。 如果预测大厅登机率大于预定阈值,则开始UP-PEAK。 在优选实施例中,预定阈值是电梯轿厢容量的预定百分比。 另外,本发明涉及一种基于实际乘客流量来调整阈值的方法。 例如,一旦UP-PEAK开始,确定在预定时间间隔内离开大厅的前几台电梯的负载,并且基于它们确定的负载来调整阈值。 如果确定的负载大于电梯轿厢容量的一定百分比,表示启动UP-PEAK太晚,阈值就会降低。 类似地,如果确定的负载小于电梯轿厢容量的一定百分比,表示启动UP-PEAK太早,则阈值增加。

    Closed loop fuzzy logic controller for elevator dispatching
    14.
    发明授权
    Closed loop fuzzy logic controller for elevator dispatching 失效
    用于电梯调度的闭环模糊逻辑控制器

    公开(公告)号:US5786551A

    公开(公告)日:1998-07-28

    申请号:US568892

    申请日:1995-11-30

    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; and an elevator dispatcher for controlling the operation of the elevator cars during single source traffic conditions in response to the control parameter.

    Abstract translation: 用于控制具有多个楼层的建筑物中的电梯轿厢的组控制器包括用于提供交通和交通率的模糊估计的交通和交通率估计器; 闭环模糊逻辑控制器,用于响应于交通流量和业务速率的模糊估计以及响应于电梯控制系统输出变量提供控制参数; 以及电梯调度器,用于响应于控制参数在单个源交通状况期间控制电梯轿厢的操作。

    Elevator controller having an adaptive constraint generator
    15.
    发明授权
    Elevator controller having an adaptive constraint generator 失效
    电梯控制器具有自适应约束发生器

    公开(公告)号:US5767460A

    公开(公告)日:1998-06-16

    申请号:US565469

    申请日:1995-11-30

    Abstract: A group controller for controlling elevator cars in a building having a plurality of floors includes an elevator dispatcher for controlling the operation of the elevator cars during single source traffic conditions, the elevator dispatcher having a constraint for limiting car assignments in response to the constraint; and an adaptive contraint generator for modifying a value of the constraint in response to an elevator control system output variable. In one embodiment, the group controller includes a traffic and traffic rate estimator for providing fuzzy estimates of traffic and traffic rate; a fuzzy logic controller for providing a control parameter in response to the fuzzy estimates of traffic and traffic rate, the control parameter having a constraint for limiting a value of the control parameter; an adaptive constraint generator for modifying a value of the constraint in response to an 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 translation: 用于控制具有多个楼层的建筑物中的电梯轿厢的组控制器包括用于在单个源交通状况期间控制电梯轿厢的操作的电梯调度器,电梯调度器具有响应于该约束而限制轿厢分配的约束; 以及用于响应于电梯控制系统输出变量修改约束值的自适应限制发生器。 在一个实施例中,组控制器包括用于提供业务和业务速率的模糊估计的业务和业务速率估计器; 模糊逻辑控制器,用于响应于业务和业务速率的模糊估计提供控制参数,所述控制参数具有限制所述控制参数的值的约束; 自适应约束生成器,用于响应于电梯控制系统输出变量修改约束的值; 以及电梯调度器,用于响应于控制参数在单个源交通状况期间控制电梯轿厢的操作。

    "> Learning methodology for improving traffic prediction accuracy of
elevator systems using
    16.
    发明授权
    Learning methodology for improving traffic prediction accuracy of elevator systems using "artificial intelligence" 失效
    使用“人工智能”提高电梯系统的流量预测精度的学习方法

    公开(公告)号:US5168136A

    公开(公告)日:1992-12-01

    申请号:US776105

    申请日:1991-10-15

    CPC classification number: B66B1/2466 B66B2201/402 Y10S706/91

    Abstract: A computer controlled elevator system (FIG. 1 ) using prediction methodology to enhance the system's elevator service, having "learning" capabilities to adapt the system to changing building operational characteristics, including signal processing means for computing the "best" prediction model to be used for prediction, the best factoring coefficients for combining real time and historic predictors associated with the best prediction model, the best data and prediction time interval lengths to be used, and the optimal number of look-ahead intervals or steps (for real time predictions) or look-back days (for historic predictions) to the extent applicable to the prediction model, etc. Using the algorithm(s) of the invention the best prediction methodology and associated parameters are selected by running on site simulations based on exemplary values and comparing the prediction results to recorded data indicative of the actual events that have occurred in the system over a past appropriate period of time. That which provides the most accurate predictions, i.e., those with a minimum error as determined by appropriate mathematical models (e.g., sum of the square of the prediction error or sum of absolute error), are thereafter used in the prediction methodology of the system until further evaluations indicate that further changes should be made.

    Abstract translation: 一种使用预测方法来增强系统电梯服务的计算机控制的电梯系统(图1),具有“学习”能力以使系统适应于改变建筑物的运行特性,包括用于计算要使用的“最佳”预测模型的信号处理装置 为了预测,用于组合与最佳预测模型相关联的实时和历史预测变量的最佳因子系数,要使用的最佳数据和预测时间间隔长度以及预先间隔或步骤的最佳数量(用于实时预测) 或回溯日(对于历史预测)到适用于预测模型的程度等。使用本发明的算法,通过基于示例值运行现场模拟和比较来选择最佳预测方法和相关参数 预测结果记录指示系统中在过去的适当情况下发生的实际事件的数据 吃了一段时间。 提供最精确预测的那些,即具有由适当的数学模型确定的最小误差的那些(例如,预测误差的平方和或绝对误差之和)之后,在系统的预测方法中被使用直到 进一步评估表明应进一步改变。

    "> Optimized
    17.
    发明授权
    Optimized "up-peak" elevator channeling system with predicted traffic volume equalized sector assignments 失效
    优化的“高峰”电梯通道系统,具有预测的交通量平衡的行业分配

    公开(公告)号:US4846311A

    公开(公告)日:1989-07-11

    申请号:US209745

    申请日:1988-06-21

    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.

    Queue based elevator dispatching system using peak period traffic
prediction
    18.
    发明授权
    Queue based elevator dispatching system using peak period traffic prediction 失效
    基于队列的电梯调度系统采用高峰期流量预测

    公开(公告)号:US4838384A

    公开(公告)日:1989-06-13

    申请号:US209744

    申请日:1988-06-21

    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.

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