">
    12.
    发明公开
    "Up-peak" elevator channeling system with optimized preferential service to high intensity traffic floors 失效
    “高峰”电梯通道系统优化优先服务于高强度交通地板

    公开(公告)号:EP0450766A3

    公开(公告)日:1992-02-26

    申请号:EP91301787.7

    申请日:1991-03-04

    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 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.

    ">
    13.
    发明公开
    "Up-peak" elevator channeling system with optimized preferential service to high intensity traffic floors 失效
    上峰值交通电梯控制系统,用于与高密度客流量楼层优化运行优先级。

    公开(公告)号:EP0450766A2

    公开(公告)日:1991-10-09

    申请号:EP91301787.7

    申请日:1991-03-04

    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 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 translation: 本发明涉及连续的楼层建筑物中的成扇区的分组。 。根据本发明,历史信息关于到达每个楼层的乘客数量被获得并被用来预测在各楼层的要到达的乘客数量。 通过总结每个楼层的预测客流量和扇区的数量将要形成,每个扇区平均流量可以是确定性的开采。 在优选实施例,扇区形成,从大厅上方的第一地板开始并通过对顶层在建筑物继续,通过选择一组连续的楼层的每个扇区检查那样,每个扇区的预测客流量低于 预定阈值。 具体地,如果对于一个可选择的下一个相邻的地板的预测客流量,添加到用于已选择的扇区中的所有连续楼层的预测客流量,小于预定阈值时,可选择的地板被包括在该扇区。 否则,另一个部门开始与选择的地板上,在其他领域的底层。 在优选实施例中,预定阈值是根据每个扇区的确定性开采平均流量。 在本发明的另一个方面,服务的电梯轿厢的每个扇区的频率是可变的。 交通量的形成的每个部门确定的开采和每个扇区确定性开采的平均流量相比。 电梯轿厢的服务,每个扇区的频率是可变的,在此基础上进行比较。 因此,具有较大的通信量的扇区更经常维修,相对于具有较小的通信量的扇区。

    Up peak elevator channeling system with optimised preferential service to high intensity traffic floors
    14.
    发明公开
    Up peak elevator channeling system with optimised preferential service to high intensity traffic floors 失效
    上峰值交通电梯控制系统,用于与高密度客流量楼层优化运行优先级。

    公开(公告)号:EP0578339A2

    公开(公告)日:1994-01-12

    申请号:EP93202651.1

    申请日:1991-03-04

    Abstract: The present invention is directed to determining the frequency of elevator cars to each sector in a building divided into sectors. According to the 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. Traffic volume for each formed sector is 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 translation: 本发明涉及确定的采矿电梯轿厢的频率,以在建筑物划分成​​扇区的每个扇区。 。根据本发明,历史信息关于到达每个楼层的乘客数量被获得并被用来预测在各楼层的要到达的乘客数量。 通过总结每个楼层的预测客流量和扇区的数量将要形成,每个扇区平均流量可以是确定性的开采。 每个部门的业务量,形成每个部门确定性开采的平均流量相比。 电梯轿厢的服务,每个扇区的频率是可变的,在此基础上进行比较。 因此,具有较大的通信量的扇区更经常维修,相对于具有较小的通信量的扇区。

    ">
    17.
    发明公开
    "Artificial Intelligence" based learning system predicting "Peak-Period" times for elevator dispatching 失效
    人工智能学习系统的高峰时间升力分布的预测。

    公开(公告)号:EP0444969A2

    公开(公告)日:1991-09-04

    申请号:EP91301788.5

    申请日:1991-03-04

    CPC classification number: B66B1/2408 B66B2201/222 B66B2201/402 B66B2201/403

    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 count is predicted, based on historical information of the number of passengers boarding the elevators at the lobby. The predicted lobby boarding count is compared with a predetermined threshold value. If the predicted lobby boarding count 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 building's population. 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 predetermined 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, indicatve of starting UP-PEAK too soon, the threshold value is increased.

    Abstract translation: 本发明涉及一种用于电梯控制电梯轿厢的分配调度系统。 更具体地,本发明涉及确定的挖掘开始和/或操作的UP-PEAK和DOWN高峰时段的结束的方法。 对于实施例,用于开始UP-PEAK手术,大堂登机计数预测,基于旅客登机在大厅的电梯的数量的历史信息。 预测的大厅登机计数与预定的阈值进行比较。 如果预测的大厅登机计数大于所述预定阈值时,UP-PEAK被展开。 在首选实施例,预定阈值是大楼人口的预定的百分比。 另外,本发明涉及调节基于实际客流量阈值的方法。 例如,一旦UP-PEAK开始时,最初的几个电梯离开预定的时间间隔之内到达大厅的负荷确定性开采,并且阈值是基于它们的预定负载调整。 如果确定开采负荷大于电梯轿厢容量的一定百分比,指示开始上行峰太晚越大,阈值下降。 同样,如果确定性开采负荷小于电梯轿厢容量的一定比例,indicatve太早开始UP-PEAK的,阈值增加。

    "> Relative system response elevator dispatcher system using
    18.
    发明公开
    Relative system response elevator dispatcher system using "Artificial Intelligence" to vary bonuses and penalties 失效
    相对应答系统与“人工智能”的电梯配电系统改变奖励和处罚。

    公开(公告)号:EP0385810A1

    公开(公告)日:1990-09-05

    申请号:EP90302291.1

    申请日:1990-03-05

    Abstract: An elevator system employing a micro-processor-based group controller communicating with the cars 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 intelligence" techniques based on combined historic and real time traffic predictions to predict the number of people behind the 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.

    Abstract translation: 一种电梯系统采用微处理器的群控制器的汽车行驶通信以分配辆基于相对系统响应(RSR)方法的门厅呼叫。 然而,而不是用不变的奖金和惩罚,所分配的红利和惩罚使用基于组合的历史和实时交通预测“人工智能”技术来预测的门厅呼叫背后的人的数量,计算并使用平均乘车变化 在“途中”去寄宿率停止并在大厅呼叫楼层预计汽车负载。 人等着后面厅数量的预测呼吁几分钟间隔使用过程中没有一天过去几年的时间间隔实时预测测量的业务水平,使用线性指数平滑模型制作,并在相似的时间间隔测量的流量水平 以往类似的日内历史话务预测,使用单一的指数平滑模型。 在车上,在大厅呼叫楼层的剩余容量相匹配,使用大厅呼叫错配罚等待队列。 汽车停止和停止厅的处罚是基于在门厅呼叫背后的人与可变停留次数变化“途中”停止。 负载很重的车来接了几个人的停止使用车辆载重罚款处罚。 这些增强功能RSR结果在汽车停止和汽车负载的公平分配,从而提高处理能力,减少等候时间和服务。

    Queue based elevator dispatching system using peak period traffic prediction
    19.
    发明公开
    Queue based elevator dispatching system using peak period traffic prediction 失效
    使用峰值交通预测的基于队列的电梯分配系统

    公开(公告)号:EP0348152A3

    公开(公告)日:1990-01-31

    申请号:EP89306222.4

    申请日:1989-06-20

    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.

    Queue based elevator dispatching system using peak period traffic prediction
    20.
    发明公开
    Queue based elevator dispatching system using peak period traffic prediction 失效
    系统使用高峰流量预测基础上的等待时间电梯的呼叫分配。

    公开(公告)号:EP0348152A2

    公开(公告)日:1989-12-27

    申请号:EP89306222.4

    申请日:1989-06-20

    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 translation: 电梯系统多辆(1-4)和具有一组控制器(32)信号处理装置(CPU),其控制轿厢从大厅(L)调度。 在峰值条件下(上行高峰,下峰值和中午),每个轿厢分派和分配给具有乘客等待优先级的基础上,产生队列长度和在大堂和上部楼层的等待时间的大的预测数目门厅呼叫楼层 为减少和系统处理能力提高。 对于地板为每五分钟未来车流量水平的估计是使用过程中没有一天过去几年的时间间隔实时预测测量的业务水平,使用线性指数平滑模型制作,并在以往类似的时间间隔测量的流量水平 类似天为历史话务预测,使用单一的指数平滑模型。 组合预测用于分配门厅呼叫汽车优先对具有预测高水平的客流限制最长等待时间,并且轿厢负荷的楼层上。 中午优先方案是基于多个队列大小和最大等待时间限制百分比。 不同的等待时间的限制,可用于大厅和大厅上面的上行和下行门厅与自动调节呼叫。 在上行峰的大堂给予高度重视。 大厅排队使用乘客到达率和预期汽车到达时间预测。 下行峰值操作使用多个队列水平和等待时间的限制,使用车对门厅呼叫的旅行时间根据乘客到达预计线索百分比。

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