Device and method for classifying two-state variables of a cyclically-operating system comprising subunits
    1.
    发明申请
    Device and method for classifying two-state variables of a cyclically-operating system comprising subunits 审中-公开
    用于对包括子单元的循环操作系统的两状态变量进行分类的装置和方法

    公开(公告)号:US20070005814A1

    公开(公告)日:2007-01-04

    申请号:US10556582

    申请日:2004-05-11

    CPC classification number: G05B19/058 G05B2219/14006 G05B2219/14068

    Abstract: The invention relates to a device and method for classifying two-state variables of a cyclically-operating system comprising subunits. The inventive method comprises the following steps: a recording step consisting in recording dated state changes noted for each of the variables during a determined time T; a calculation step consisting in using the aforementioned dated state changes in order to determine, for each of the variables, (i) the different durations (D1) between two consecutive passages to a first state (E1) and (ii) the different durations (D2) between two consecutive passages to a second state (E2), such as to create duration lists (LD1) and (LD2); and a processing step consisting in, for each variable, comparing the different duration lists (LD1) and/or (LD2) to the different duration lists (LD1) and/or (LD2) for the other variables and the number of occurrences thereof, such as to classify said variables into groups, whereby each group corresponds to at least one of the subunits of the system.

    Abstract translation: 本发明涉及用于对包括子单元的循环操作系统的两状态变量进行分类的装置和方法。 本发明的方法包括以下步骤:记录步骤,包括在确定的时间T内记录每个变量所注明的日期状态变化; 计算步骤包括使用上述过时的状态变化,以便为每个变量确定(i)在两个连续通道到第一状态(E 1)之间的不同持续时间(D 1)和(ii)不同的 在两个连续通道之间的持续时间(D 2)到第二状态(E 2),例如创建持续时间列表(LD 1)和(LD 2); 以及处理步骤,对于每个变量,将不同的持续时间列表(LD1)和/或(LD2)与其他变量的不同持续时间列表(LD 1)和/或(LD 2)进行比较, 例如将所述变量分类成组,由此每个组对应于系统的至少一个子单元。

    Method of simulating an industrial process, and use thereof for testing
the operation of a controller
    2.
    发明授权
    Method of simulating an industrial process, and use thereof for testing the operation of a controller 失效
    模拟工业过程的方法及其用于测试控制器的操作的方法

    公开(公告)号:US5436855A

    公开(公告)日:1995-07-25

    申请号:US7058

    申请日:1993-01-21

    Abstract: An industrial process (2) is simulated in which the value of each physical magnitude P.sub.i characteristic of its state is varied at a rate of change V.sub.i that is a function of the state of control signals (3) emitted by an automatic controller (1), and which reports its state to said controller by means of state signals (4) which are emitted by sensors as a function of the values of the respective physical magnitudes that they monitor. For each physical magnitude P.sub.i, the time interval .delta.t.sub.i is determined during which the value of the physical magnitude can change without any of the sensors monitoring said physical magnitude P.sub.i changing state. Thereafter the value of each of the physical magnitudes P.sub.i is updated by incrementing its value by the product of the corresponding rate of change V.sub.i multiplied by the smallest of the above-determined time intervals .delta.t. Finally, after updating the sensors monitoring each of the physical magnitudes P.sub.i, a parameterizable length of time is allowed to elapse before repeating the method. The simulation method is used for testing the logical operation and the timing of a controller, such as an industrial programmable controller.

    Abstract translation: 模拟工业过程(2),其中其状态的每个物理幅度Pi特性的值以作为由自动控制器(1)发出的控制信号(3)的状态的函数的变化率Vi变化, 并且通过由传感器发出的状态信号(4)将其状态报告给所述控制器作为其监视的相应物理量值的函数。 对于每个物理幅度Pi,确定时间间隔增量ti ti,在此期间物理量值的值可以改变,而没有监测所述物理幅度Pi改变状态的任何传感器。 此后,通过将相应变化率Vi乘以上述确定的时间间隔Δt的最小值的乘积来增加其值,来增加每个物理量Pi的值。 最后,在更新了监测每个物理量Pi的传感器之后,在重复该方法之前允许经过可参数化的时间长度。 仿真方法用于测试诸如工业可编程控制器之类的控制器的逻辑运算和定时。

    Device and method for a system analysis and diagnosis
    3.
    发明授权
    Device and method for a system analysis and diagnosis 有权
    用于系统分析和诊断的设备和方法

    公开(公告)号:US08037005B2

    公开(公告)日:2011-10-11

    申请号:US11576071

    申请日:2005-09-28

    CPC classification number: G05B23/0278 G05B23/0248

    Abstract: A device and a method for the analysis and troubleshooting of a system, based on the use of a model of the system, with application in particular in the area of industrial installations controlled by automatic control systems of the programmed or wired logic type. The method includes a stage for initialisation of the model, and a stage for the creation of a list of discordant variables whose value in the system differs from that predicted by the model. For each of the variables belonging to a discordance list, an initial list of suspect variables, suspected of having generated the discordant value, is created, and then a restricted list of suspect variables is obtained by filtration of the initial list.

    Abstract translation: 一种用于系统分析和故障排除的设备和方法,该系统基于使用该系统的型号,特别是在由编程或有线逻辑类型的自动控制系统控制的工业设备领域中的应用。 该方法包括用于模型初始化的阶段,以及用于创建不同变量列表的阶段,其中系统的值与模型预测的值不同。 对于属于不一致列表的每个变量,创建怀疑产生不一致值的可疑变量的初始列表,然后通过过滤初始列表获得可疑变量的限制列表。

    Device And Method For A System Analysis And Diagnosis
    4.
    发明申请
    Device And Method For A System Analysis And Diagnosis 有权
    系统分析与诊断的装置与方法

    公开(公告)号:US20080086288A1

    公开(公告)日:2008-04-10

    申请号:US11576071

    申请日:2005-09-28

    CPC classification number: G05B23/0278 G05B23/0248

    Abstract: A device and a method for the analysis and troubleshooting of a system, based on the use of a model of the system, with application in particular in the area of industrial installations controlled by automatic control systems of the programmed or wired logic type. The method includes a stage for initialisation of the model, and a stage for the creation of a list of discordant variables whose value in the system differs from that predicted by the model. For each of the variables belonging to a discordance list, an initial list of suspect variables, suspected of having generated the discordant value, is created, and then a restricted list of suspect variables is obtained by filtration of the initial list.

    Abstract translation: 一种用于系统分析和故障排除的设备和方法,该系统基于使用该系统的型号,特别是在由编程或有线逻辑类型的自动控制系统控制的工业设备领域中的应用。 该方法包括用于模型初始化的阶段,以及用于创建不同变量列表的阶段,其中系统的值与模型预测的值不同。 对于属于不一致列表的每个变量,创建怀疑产生不一致值的可疑变量的初始列表,然后通过过滤初始列表获得可疑变量的限制列表。

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