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    • 21. 发明申请
    • RESIDUAL ACTIVATION NEURAL NETWORK
    • 残疾活动神经网络
    • WO1993025943A2
    • 1993-12-23
    • PCT/US1993005596
    • 1993-06-10
    • PAVILION TECHNOLOGIES INC.
    • PAVILION TECHNOLOGIES INC.KEELER, James, DavidHARTMAN, Eric, JonLIANO, KadirFERGUSON, Ralph, Bruce
    • G05B13/02
    • G05B13/027Y10S706/906
    • A plant (72) is operable to receive control inputs c(t) and provide an output y(t). The plant (72) has associated therewith state variables s(t) that are not variable. A control network (74) is provided that accurately models the plant (72). The output of the control network (74) provides a predicted output which is combined with a desired output to generate an error. This error is back propagated through an inverse control network (76), which is the inverse of the control network (74) to generate a control error signal that is input to a distributed control system (73) to vary the control inputs to the plant (72) in order to change the output y(t) to meet the desired output. The control network (74) is comprised of a first network NET 1 that is operable to store a representation of the dependency of the control variables on the state variables. The predicted result is subtracted from the actual state variable input and stored as a residual in a residual layer (102). The output of the residual layer (102) is input to a hidden layer (108) which also receives the control inputs to generate a predicted output in an output layer (106). During back propagation of error, the residual values in the residual layer (102) are latched and only the control inputs allowed to vary.
    • 工厂(72)可操作以接收控制输入c(t)并提供输出y(t)。 工厂(72)具有与其不可变的状态变量s(t)相关联。 提供控制网络(74),其精确地模拟设备(72)。 控制网络(74)的输出提供与期望输出组合以产生错误的预测输出。 该错误通过逆控制网络(76)反向传播,逆控制网络(76)是控制网络(74)的反向,以产生输入到分布式控制系统(73)的控制误差信号,以改变对工厂的控制输入 (72),以便改变输出y(t)以满足期望的输出。 控制网络(74)包括第一网络NET1,其可操作以存储控制变量对状态变量的依赖性的表示。 将预测结果从实际状态变量输入中减去并作为剩余层存储在残留层(102)中。 剩余层(102)的输出被输入到隐藏层(108),隐层也接收控制输入以在输出层(106)中生成预测输出。 在误差的反向传播期间,残留层(102)中的残余值被锁存,并且仅允许控制输入变化。
    • 24. 发明申请
    • SYSTEM FOR FORMING KNOWLEDGE DATA
    • 用于形成知识数据的系统
    • WO1989012852A1
    • 1989-12-28
    • PCT/JP1988000597
    • 1988-06-17
    • HITACHI, LTD.NIGAWARA, SeiitsuNAMBA, ShigeakiFUKAI, Masayuki
    • HITACHI, LTD.
    • G05B13/00
    • G05B13/028Y10S706/906
    • A system for forming knowledge data comprising a basic rule storage (5) which stores process data for each of given process data of an object (50) to be controlled, and which prepares and stores relationships among the process data as basic rules; a process data input processing unit (2) which inputs and stores process data of the object (50) to be controlled; a decision unit (3) for determining the need for collecting knowledge data to detect either a change of the process data obtained from the process data input processing unit (2) or a departure from a predetermined relationship; a knowledge data compiling unit (4) which takes out basic rules related to the process data that are judged to be collected by the decision unit (3) from said basic rule storage unit (5), and which compiles the process data based upon the relationship between the data group stored in the process data input processing unit (2) and the process data stored as basic rules; and a knowledge data base (11) which stores knowledge data obtained from said knowledge data compiling unit (4).
    • 一种用于形成知识数据的系统,包括:基本规则存储器(5),其存储要被控制的对象(50)的给定过程数据中的每一个的处理数据;以及准备和存储作为基本规则的过程数据之间的关系; 处理数据输入处理单元(2),其输入并存储要被控制的对象(50)的处理数据; 决定单元(3),用于确定收集知识数据以检测从处理数据输入处理单元(2)获得的处理数据的改变或偏离预定关系的需要; 知识数据编制单元(4),从所述基本规则存储单元(5)中取出与所述判定单元(3)判断为被所述判定单元收集的处理数据有关的基本规则,并根据 存储在过程数据输入处理单元(2)中的数据组与作为基本规则存储的过程数据之间的关系; 以及存储从所述知识数据编译单元(4)获得的知识数据的知识数据库(11)。
    • 25. 发明申请
    • MULTI-VARIABLE OPERATIONS
    • 多变量操作
    • WO2005024350A3
    • 2005-06-30
    • PCT/GB2004003768
    • 2004-09-06
    • CURVACEOUS SOFTWARE LTDBROOKS ROBIN WILLIAMWILSON JOHN GAVIN
    • BROOKS ROBIN WILLIAMWILSON JOHN GAVIN
    • G01D7/10G05B19/418G05B23/02
    • G01D7/10G05B19/41875G05B23/0235G05B23/0272G05B23/0294G05B2219/32187Y02P90/22Y10S706/906
    • Operation of a multi-variable process involves multidimensional representation of the values (pl-p12) of the process variables (Pl-P12) according to individual coordinate axes, and an operational envelope (UB,LB) derived from a group of sets of values for the process and quality variables (P1-P12,Q1-Q2) accumulated from multiple, earlier operations of the process, defines an operating zone for the process and quality variables of the process. If the current value (p7) of any process variable (P7) goes outside the envelope, an envelope (UO,LB) for a different, wider grouping of the stored data-sets is displayed at least for the quality variables (Ql-Q2). A series of nested envelopes to provide stepwise enlargement of the operating zone may be provided, but non-nested envelopes can be used where there is clustering of acceptable values of process variables of the stored data-sets. The changes to control variables to bring the values of dependent variables within a best operating range can be determined.
    • 多变量过程的操作涉及根据各个坐标轴对过程变量(P1-P12)的值(pl-p12)的多维表示,以及从一组值集合中导出的操作包络(UB,LB) 对于从过程的多个早期操作累积的过程和质量变量(P1-P12,Q1-Q2),定义了过程的过程和质量变量的操作区域。 如果任何过程变量(P7)的当前值(P7)超出包络,则至少针对质量变量(Q1-Q2)显示用于不同的,更宽的所存储的数据集合的包络(U0,LB) )。 可以提供一系列嵌套的信封以提供操作区域的逐步放大,但是可以在存储的数据集的过程变量的可接受的值聚集的地方使用非嵌套信封。 可以确定控制变量以使因变量的值处于最佳操作范围内的变化。
    • 27. 发明申请
    • METHOD FOR IMPLEMENTING INDIRECT CONTROLLER
    • 实施间接控制器的方法
    • WO2004109468A2
    • 2004-12-16
    • PCT/US2004/017688
    • 2004-06-04
    • NEUCO, INC.LEFEBVRE, Curt, W.KOHN, Daniel, W.
    • LEFEBVRE, Curt, W.KOHN, Daniel, W.
    • G06F
    • G05B7/02G05B17/02Y10S706/903Y10S706/906Y10S706/914
    • A system and method for implementing an indirect controller for a plant. A plant can be provided with both a direct controller and an indirect controller with a system model or a committee of system models. When the system model has sufficient integrity to satisfy the plant requirements, i.e., when the system model has been sufficiently trained, the indirect controller with the system model is automatically enabled to replace the direct controller. When the performance falls, the direct controller can automatically assume operation of the plant, preferably maintaining operation in a control region suitable for generating additional training data for the system model. Alternatively, the system model incorporates a committee of models. Various types of sources for errors in the committee of models can be detected and used to implement strategies to improve the quality of the committee.
    • 一种用于实现工厂的间接控制器的系统和方法。 一个工厂可以提供一个直接控制器和间接控制器与系统模型或系统模型委员会。 当系统模型具有足够的完整性以满足工厂要求时,即当系统模型已被充分训练时,具有系统模型的间接控制器被自动地用于替换直接控制器。 当性能下降时,直接控制器可以自动地承担设备的操作,优选地在适于产生用于系统模型的附加训练数据的控制区域中保持操作。 或者,系统模型包含模型委员会。 可以检测出各种类型的模型委员会错误来源,并用于实施提高委员会质量的战略。
    • 29. 发明申请
    • PROCESS AND APPARATUS FOR CONTROLLING THE EFFICIENCY OF CAUSTICIZING PROCESS
    • 控制加工过程效率的过程和装置
    • WO1998010137A1
    • 1998-03-12
    • PCT/US1997014645
    • 1997-08-29
    • FISHER-ROSEMOUNT SYSTEMS, INC.
    • FISHER-ROSEMOUNT SYSTEMS, INC.BAINES, Glenn, H.
    • D21C11/00
    • G05D21/02D21C11/0064Y10S706/906
    • Continuous measurements are made of a characteristic of the individual components of green liquor fed to a slaker and white liquor exiting from the slaker. The liquor component measurements provide a precise characterization of the liquors allowing for a more efficient control of the causticizing reaction in the kraft process. The individual component measurements are provided as inputs, along with certain ambient measurements, to a non-linear controller. The controller produces a causticizing control signal which is used to control the amount of lime introduced to the slaker. The controller is adapted to a particular process installation through the application of data collected from that installation. The controller, for example a neural network or fuzzy logic controller, produces a causticizing control signal according to unique parameters developed for the specific installation.
    • 连续的测量是由供给到洗涤剂的绿液和从洗涤液中排出的白液的各个组分的特征。 液体组分测量提供了液体的精确表征,允许更有效地控制硫酸盐法中的苛化反应。 单独的组件测量值作为输入以及某些环境测量值提供给非线性控制器。 控制器产生苛化控制信号,该信号用于控制引入到烘干机中的石灰的量。 控制器通过应用从该安装收集的数据适用于特定的过程安装。 控制器,例如神经网络或模糊逻辑控制器,根据为特定安装开发的独特参数产生苛化控制信号。