Method for selection of the most favorable elevator of an elevator installation comprising at least two elevator groups
    51.
    发明申请
    Method for selection of the most favorable elevator of an elevator installation comprising at least two elevator groups 有权
    用于选择包括至少两个电梯组的电梯设备最有利的电梯的方法

    公开(公告)号:US20030000776A1

    公开(公告)日:2003-01-02

    申请号:US10161227

    申请日:2002-06-03

    Inventor: Miroslav Kostka

    Abstract: A method for the selection of the most favorable elevator of a elevator installation having at least two elevator groups, wherein a route with changeovers is available for reaching a destination floor from a start floor, the route being broken down into several stretches. An elevator of one of the elevator groups is allocated to each of the stretches solving the multi-route problem in a destination call multi-group control with journeys involving changeovers.

    Abstract translation: 一种用于选择具有至少两个电梯组的电梯设备最有利的电梯的方法,其中具有转换的路线可用于从起始楼层到达目的地楼层,该路线被分解成若干段。 将电梯组中的一个的电梯分配给解决多路径问题的每一段,在目的地呼叫多组控制中涉及转换的行程。

    Device and method for control of double deck elevator system
    52.
    发明申请
    Device and method for control of double deck elevator system 有权
    双层电梯系统控制装置及方法

    公开(公告)号:US20020088672A1

    公开(公告)日:2002-07-11

    申请号:US10006099

    申请日:2001-12-04

    Abstract: The present invention improves the performance of the group control of elevators by shortening the waiting time for connections to the top floor in a system composed of a plurality double deck elevators having upper decks (1aU)null(1eU) and lower decks (1aL)null(1eL), respectively.

    Abstract translation: 本发明通过缩短由具有上甲板(1aU)〜(1U)〜(1L)〜(1L)〜(1L)〜(1))的多台双层电梯构成的系统中,缩短连接到顶层的等待时间,从而提高了电梯群控制的性能。 (1eL)。

    Elevator group supervisory control system employing scanning for simplified performance simulation
    53.
    发明授权
    Elevator group supervisory control system employing scanning for simplified performance simulation 有权
    电梯组监控系统采用扫描简化性能仿真

    公开(公告)号:US06315082B2

    公开(公告)日:2001-11-13

    申请号:US09809210

    申请日:2001-03-16

    Applicant: Shiro Hikita

    Inventor: Shiro Hikita

    Abstract: A rule base storing control rule sets simulates the behavior of each car of an elevator system in real time by assigning scanning to each car which is caused to run until the direction of running is reversed, while applying a specified rule set in the rule base to the current traffic condition, and predicts group supervisory control performance upon application of the specified rule set. In response to the results of performance prediction, an optimal rule set is selected and a real time simulation can be carried out during a group supervisory control operation, so that group supervisory control can be performed on multiple elevator cars while applying the optimal rule set at all times, thus providing excellent service.

    Abstract translation: 存储控制规则集的规则库通过向运行中的每个轿厢分配扫描,直到运行方向反转,同时在规则库中应用规定的规则集,来实时地模拟电梯系统的每个轿厢的行为 当前交通状况,并在应用指定的规则集时预测组监控性能。 响应于性能预测的结果,选择最佳规则集,并且可以在群组监督操作期间进行实时仿真,从而可以对多台电梯轿厢进行群组监控,同时将最优规则集应用于 一次次,从而提供优质的服务。

    Elevator group supervisory control system
    54.
    发明申请
    Elevator group supervisory control system 有权
    电梯组监控系统

    公开(公告)号:US20010010278A1

    公开(公告)日:2001-08-02

    申请号:US09809210

    申请日:2001-03-16

    Inventor: Shiro Hikita

    Abstract: The present invention prepares a rule base storing a plurality of control rule sets, simulates the behavior of each car in real time by assigning scanning to each car which is caused to run until the direction of running thereof is reversed while applying a specified rule set in the rule base to the current traffic condition, and predicts group supervisory control performance which is obtained upon application of the specified rule set. In response to the results of performance prediction, an optimal rule set is selected and a real time simulation can be carried out during a group supervisory control operation, so that group supervisory control can be performed on a plurality of elevators while applying thereto the optimal rule set at all times, thus providing excellent service.

    Abstract translation: 本发明准备存储多个控制规则集的规则库,通过向每个轿厢分配扫描来实时地模拟每个轿厢的行为,直到其运行方向反转,同时将规定的规则集合 根据当前交通状况的规则库,并预测在应用指定的规则集时获得的组监督控制性能。 响应于性能预测的结果,选择最佳规则集,并且可以在组监控操作期间执行实时仿真,使得可以在多台电梯上执行组管理控制,同时向其施加最优规则 随时设置,从而提供优质的服务。

    Method and apparatus for elevator group control with learning based on
group control performance
    55.
    发明授权
    Method and apparatus for elevator group control with learning based on group control performance 失效
    基于组控制性能的电梯组控制方法和装置

    公开(公告)号:US5306878A

    公开(公告)日:1994-04-26

    申请号:US591887

    申请日:1990-10-02

    Applicant: Susumu Kubo

    Inventor: Susumu Kubo

    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 translation: 一种用于电梯组控制的方法和装置,其能够执行具有最适合于每个建筑物的独特情况的评估特性和控制参数的电梯轿厢分配控制。 在该装置中,通过根据电梯系统的给定交通需求进行评估来执行门厅呼叫分配控制,用于确定电梯车厢中最适当的一个以响应在目的地楼层之一处产生的门厅呼叫 ; 并且根据由门厅呼叫分配控制和给定交通需求产生的响应来确定用于执行评估的控制参数。

    Method and apparatus for the immediate allocation of target calls in
elevator groups based upon operating costs and variable bonus and
penalty point factors
    56.
    发明授权
    Method and apparatus for the immediate allocation of target calls in elevator groups based upon operating costs and variable bonus and penalty point factors 失效
    基于运营成本和可变奖金和惩罚点因素立即分配电梯组中的目标呼叫的方法和装置

    公开(公告)号:US5305198A

    公开(公告)日:1994-04-19

    申请号:US659022

    申请日:1991-02-20

    Abstract: A method of controlling a group of elevators allocates target calls definitively and immediately to the individual elevators for serving the call according to higher rank and lower rank function requirements and these allocations are indicated immediately at the call input floors. A weighted sum corresponding to higher rank function requirements is formed from partial operating costs, this sum is modified into operating costs in the sense of lower rank function requirements by means of variable bonus and penalty point factors and a target call is allocated to the elevator with the lowest operating costs. A target call allocation algorithm with subordinate algorithms for the bonus and penalty point tracking and the costs computation implements this method in a computer. The bonus and penalty point factors are continuously made to follow the traffic volume or the car load group by group or elevator by elevator with the tracking algorithm. The computation of the operating costs takes place in the costs computation algorithm according to a special costs formula, wherein the readjusted bonus and penalty point factors act multiplicatively on a six term partial costs sum.

    Abstract translation: 控制一组电梯的方法根据较高等级和较低等级的功能要求,明确地立即将目标呼叫分配给用于服务呼叫的各个电梯,并且这些分配在呼叫输入层立即被指示。 由部分运营成本构成对应于较高等级函数要求的加权总和,通过可变奖金和惩罚点因素将该总和修改为低等级函数要求的运营成本,并将目标呼叫分配给电梯 运营成本最低。 具有用于奖金和罚点追踪的下属算法和成本计算的目标呼叫分配算法在计算机中实现该方法。 奖励积分和罚点积分因素不断使跟踪算法按照电梯跟踪交通量或乘用车乘坐群组或电梯。 运营成本的计算根据特殊成本公式在成本计算算法中进行,其中重新调整的奖金和罚点值因素对六项部分成本总和进行乘法运算。

    Using fuzzy logic to determine elevator car assignment utility
    57.
    发明授权
    Using fuzzy logic to determine elevator car assignment utility 失效
    使用模糊逻辑来确定电梯轿厢分配效用

    公开(公告)号:US5248860A

    公开(公告)日:1993-09-28

    申请号:US879530

    申请日:1992-05-04

    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 translation: 通过使用多个性能标准估计每个电梯轿厢的性能来确定分配电梯系统的每个轿厢来维修门厅呼叫的效用。 然后,通过表示电梯系统性能的客户偏好的值来缩放性能标准,以便形成多个缩放的性能模糊集合。 分配效用模糊集由缩放的性能模糊集合的术语形成。 然后,将每个轿厢分配给服务于特定门厅呼叫的效用被设置为等于缩放的性能模糊集合的所有项的隶属度的最大值。 或者,将每个轿厢分配给服务于特定门厅呼叫的效用可以被设置为等于缩放的演出模糊集合的所有项的隶属度的最小值。

    ">
    58.
    发明授权
    "Up-peak" elevator channeling system with optimized preferential service to high intensity traffic floors 失效
    “高峰”电梯通道系统,优化了对高强度交通楼层的优惠服务

    公开(公告)号:US5183981A

    公开(公告)日:1993-02-02

    申请号:US487344

    申请日:1990-03-02

    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 translation: 本发明涉及将建筑物中的连续楼层分组为扇区。 根据本发明,获得关于到达每层的乘客人数的历史信息,并用于预测到达每个楼层的乘客人数。 通过将每层预测的流量相加除以待形成的扇区数,可以确定每扇区的平均流量。 在优选实施例中,通过为每个扇区选择一组连续的楼层,从大厅上方的第一层开始并且继续通往建筑物的顶层,形成扇区,使得每个扇区的预测业务量小于 预定阈值。 具体地,如果为已经为该扇区选择的所有连续楼层的预测业务量增加了可选择的下一个连续楼层的预测业务量,则小于预定阈值,则该可选楼层被包括在扇区中。 否则,开始另一个扇区,其中可选择的楼层作为另一扇区的底层。 在优选实施例中,预定阈值基于所确定的每个扇区的平均业务量。 在本发明的另一方面,电梯轿厢对每个扇区的服务频率是可变的。 确定每个成型部门的流量,并与确定的每个扇区的平均流量进行比较。 基于此比较,电梯轿厢对各部门的服务频率是可变的。 因此,相对于具有较小业务量的扇区,更频繁地服务具有较大业务量的扇区。

    Relative system response elevator dispatcher system using artificial
intelligence to vary bonuses and penalties
    59.
    发明授权
    Relative system response elevator dispatcher system using artificial intelligence to vary bonuses and penalties 失效
    相对系统响应电梯调度员系统使用人工智能来改变奖金和罚款

    公开(公告)号:US5024295A

    公开(公告)日:1991-06-18

    申请号:US318307

    申请日:1989-03-03

    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.

    Abstract translation: 一种使用基于微处理器的组控制器(图2)的电梯系统,其基于相对系统响应(RSR)方法与轿厢(3,4)进行通信,以将轿厢分配给门厅呼叫。 然而,不是使用不变的奖金和罚款,而是使用基于组合的历史和实时交通预测的“人工智能”技术来改变所分配的奖金和罚则,以预测大厅呼叫后面的人数,以及计算和使用平均值 在“途中”停车的登机和登机费,以及大厅通话楼层的预期车载量。 使用线性指数平滑模型和在类似的时间间隔期间测量的流量水平,使用在当天的过去几个时间间隔内测量的流量水平作为实时预测器,预测在大厅后面等待的人数呼叫几分钟间隔 在以前类似的日子作为历史交通预测因子,使用单一指数平滑模型。 在门厅呼叫楼层的汽车中的剩余容量与使用门厅呼叫不匹配罚款的等待队列进行匹配。 停车场和停车场停车处罚情况根据门厅通话人数和“途中停”时段的可变停留时间各不相同。 一辆装载重载的汽车停下来拿起几个人,都会被罚款。 RSR的这些改进导致汽车停车和汽车负载的公平分配,从而提高处理能力,减少等待和使用时间。

    ">
    60.
    发明授权
    "Artificial intelligence" based crowd sensing system for elevator car assignment 失效
    “人造智能”基于电梯轿厢分配的人群感知系统

    公开(公告)号:US5022497A

    公开(公告)日:1991-06-11

    申请号:US318295

    申请日:1989-03-03

    Abstract: An elevator control system employing a micro-processor-based group controller (FIG. 2), which communicates with the cars (3, 4) of the system to determine the 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, assigning hall calls to cars based on the summation for each car, relative 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 being assigned, assigning varying "bonuses" and "penalties" to them in the weighted summation. "Artificial intelligence" techniques are used to predict traffic levels and any crowd build up at various floors to better assign one or more cars to the "crowd" predicted floors, either parking them there, if they were empty, or more appropriately assigning car(s) to the hall calls. Traffic levels at various floors are predicted by collecting passengers and car stop counts in real time and using real time and historic prediction for the traffic levels, with single exponential smoothing and/or linear exponential smoothing. Predicted passenger arrival counts are used to predict any crowd at fifteen second intervals at floors where significant traffic is predicted. Crowd prediction is then adjusted for any hall call stops made and the number of passengers picked up by the cars. The crowd dynamics are matched to car assignment, with one or more cars being sent to crowded floor(s).

    Abstract translation: 一种使用基于微处理器的组控制器(图2)的电梯控制系统,其与系统的轿厢(3,4)进行通信,以确定轿厢的状况,并响应于在多个 在由集团控制器控制的汽车服务的建筑物中的着陆,基于每个汽车相对于每个呼叫的总和,向轿厢分配门厅呼叫,多个系统响应因子的加权和,一些指示,一些不是 无论电话被分配的情况如何,在加权求和中给他们分配不同的“奖金”和“罚款”。 “人造智能”技术用于预测交通水平,并且任何人群聚集在不同的楼层,以更好地将一辆或多辆汽车分配到“人群”预测的楼层,或者将其停放在那里,如果它们是空的,或者更适当地分配汽车( s)到大厅呼叫。 通过采集单个指数平滑和/或线性指数平滑的方式,实时收集乘客和停车点数,并对流量水平进行实时和历史预测,预测各层楼层的交通状况。 预计乘客到达人数用于预测任何人群,以十五秒的间隔预测明显的交通流量。 然后,对于任何大厅通话站和乘坐车辆的乘客人数,对人群预测进行调整。 人群动态与汽车分配匹配,一辆或多辆汽车被发送到拥挤的地板。

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