Symbolization apparatus and process control system and control support
system using the same apparatus
    1.
    发明授权
    Symbolization apparatus and process control system and control support system using the same apparatus 失效
    符号化装置和过程控制系统以及使用相同装置的控制支持系统

    公开(公告)号:US5265222A

    公开(公告)日:1993-11-23

    申请号:US617347

    申请日:1990-11-23

    摘要: A symbolization apparatus which includes a membership function memory unit for storing a membership function used in fuzzy logic processing. In the symbolization apparatus a process condition change pattern is converted into an ambiguous symbol in order to build up a system capable of effecting an inference and decision approximate to a skilled operator against an object process. A process condition value memory is disclosed for holding a measurement of the process condition value and a process operation amount, a control history memory unit for storing operations and values converted into symbolic expressions, control units and a knowledge base for storing the information relating to the casual relations between the process control values and the process conditions. The process control system and a control support system comprise the function of condition identification approximate to that of a skilled operator by the use of the symbolization apparatus.

    摘要翻译: 一种符号化装置,包括用于存储在模糊逻辑处理中使用的隶属函数的隶属函数存储单元。 在符号化装置中,处理条件改变模式被转换为不明确的符号,以建立能够对熟练的操作者进行对象处理的能够进行推理和判定的系统。 公开了一种用于保持处理条件值和处理操作量的测量的处理条件值存储器,用于存储转换为符号表达式的操作和值的控制历史存储单元,控制单元和用于存储与 过程控制值与过程条件之间的随机关系。 过程控制系统和控制支持系统通过使用符号化装置来构成与熟练操作者相近的条件识别功能。

    Learning type decision support system
    2.
    发明授权
    Learning type decision support system 失效
    学习型决策支持系统

    公开(公告)号:US5175797A

    公开(公告)日:1992-12-29

    申请号:US575951

    申请日:1990-08-31

    CPC分类号: G06N3/0436 Y10S706/90

    摘要: A method and apparatus of a learning type decision support system are provided for improved acquisition of a priori knowledge from the system object and expression of non-linear structures in the object. The system is comprised of a learning module and an executing module for outputting advice and process manipulate command values to system users by receiving input data comprising on-line data and file data. The learning module comprises (1) a symbolized dictionary unit for generating a symbolized dictionary for giving a symbolic name in accordance with a pattern comprised of a combination of the values of the input data by giving examples of a pair of the pattern and the symbolic name; (2) a preprocessing unit for transforming at least a portion of the input data into the symbolic name with reference to the symbolic dictionary generated; and, (3) a model generating unit for determining an unknown parameter contained in a predetermined skeleton model to transform the preprocessed results into desired advice and manipulation command values. The executing module arithmetically processes the input data to output the advice and the manipulation command values by using the symbolized dictionary generated by the learning module and the generated model.

    摘要翻译: 提供了一种学习型决策支持系统的方法和装置,用于从系统对象中改进对先验知识的获取和对象中非线性结构的表达。 该系统包括学习模块和执行模块,用于通过接收包括在线数据和文件数据的输入数据来向系统用户输出建议和处理操作命令值。 学习模块包括:(1)符号字典单元,用于通过给出一对图案和符号名称的示例来生成符号字典,用于根据包括输入数据的值的组合的图案来给出符号名称 ; (2)预处理单元,用于参照所生成的符号字典将输入数据的至少一部分变换为符号名称; (3)模型生成单元,用于确定包含在预定骨架模型中的未知参数,以将预处理结果转换为期望的建议和操作命令值。 执行模块通过使用由学习模块和生成的模型生成的符号化字典来对输入数据进行算术处理以输出建议和操作命令值。

    Information processing apparatus and monitoring apparatus
    3.
    发明授权
    Information processing apparatus and monitoring apparatus 失效
    信息处理装置和监视装置

    公开(公告)号:US5638492A

    公开(公告)日:1997-06-10

    申请号:US291869

    申请日:1994-08-17

    IPC分类号: G05B13/02 G06K9/64 G06F17/00

    摘要: An information processing apparatus is capable of achieving high-level functions such as high-speed processing and learning without requiring a complex algorithm based on, for example, knowledge processing. A plurality of sets of known input data and correct output data corresponding thereto are beforehand stored. The stored input data is called response pattern data. Data actually inputted in the system operation is supplied to the plural sets of data. For each set of data, the input data is compared with the response pattern data to evaluate a distance (degree of similarity) therebetween. Results of evaluations for the respective sets of data are combined with the associated output data, for example, according to weighted average values on the basis of the evaluated distance, thereby generating final outputs.

    摘要翻译: 信息处理装置能够实现诸如高速处理和学习的高级功能,而不需要基于例如知识处理的复杂算法。 预先存储多组已知的输入数据和与之对应的正确的输出数据。 存储的输入数据称为响应模式数据。 在系统操作中实际输入的数据被提供给多组数据。 对于每组数据,将输入数据与响应模式数据进行比较,以评估它们之间的距离(相似度)。 将各组数据的评估结果与相关的输出数据组合,例如根据所评估距离的加权平均值,从而产生最终输出。

    Information processing apparatus for obtaining output data from plural
sets of input and output data values
    4.
    发明授权
    Information processing apparatus for obtaining output data from plural sets of input and output data values 失效
    信息处理装置,用于从多组输入和输出数据值获得输出数据

    公开(公告)号:US5682466A

    公开(公告)日:1997-10-28

    申请号:US117765

    申请日:1993-09-08

    IPC分类号: G05B13/02 G06K9/64 G06F17/00

    摘要: An information processing apparatus, which is easy to design and has functions of high speed processing, learning, and so on, includes a plurality of memories for storing sets of previously known input data (called response pattern data) and correct output data corresponding thereto; a comparator for providing input data supplied in actual operations to the plurality of sets and comparing the input data with the response pattern data in each set; an evaluation unit for evaluating the distance (degree of similarity) between the input data and the response pattern data; and a generator for generating final outputs by composing the evaluation result for each set and the output data in that set, for example, using a method which calculates weighted average values based on the evaluated distances.

    摘要翻译: 易于设计并具有高速处理,学习等功能的信息处理装置包括多个存储器,用于存储先前已知的输入数据(称为响应模式数据)和正确的对应的输出数据的集合; 比较器,用于将实际操作中提供的输入数据提供给多个组,并将输入数据与每组中的响应模式数据进行比较; 评估单元,用于评估输入数据和响应模式数据之间的距离(相似度); 以及发生器,用于通过组合各组的评估结果和该组中的输出数据来生成最终输出,例如使用基于评估的距离来计算加权平均值的方法。

    Pipeline breakage sensing system and sensing method
    5.
    发明授权
    Pipeline breakage sensing system and sensing method 失效
    管道破损传感系统及传感方法

    公开(公告)号:US5708195A

    公开(公告)日:1998-01-13

    申请号:US675117

    申请日:1996-07-03

    CPC分类号: F17D5/02 G01M3/2815

    摘要: A pipeline breakage sensing system includes a plurality of pressure sensors installed on pipelines to measure pressure of a fluid. Each of these pressure sensors presumes a breakage location in cooperation with other neighboring sensors on the basis of a pressure change of the fluid and transmits information relating to the presumed breakage location. The pipeline breakage sensing system further includes a pressure sensor for detecting the occurrence of a seismic earthquake event, in addition to a managing center for sensing a breakage location on the basis of information transmitted from respective pressure sensors and by calculating a time correlated comparison between the superimposed pressure readings from neighboring pressure sensors used to detect the occurrence of such a fluid pressure change. Thereby, breakage of a pipeline network is sensed and the quantity of flow delivered through an affected pipeline is adjusted, stopped or regulated by control of one or more valves in accordance with a predetermined, weighted system of fluid flow requirements, customer ordered priorities and customer demand levels.

    摘要翻译: 管道破损传感系统包括安装在管道上以测量流体压力的多个压力传感器。 这些压力传感器中的每一个基于流体的压力变化而与其他相邻的传感器协作地假定断裂位置,并且传送与推断的断裂位置有关的信息。 管道破坏检测系统还包括用于检测地震事件的发生的压力传感器,除了用于基于从各个压力传感器发送的信息来感测断裂位置的管理中心,并且通过计算 用于检测这种流体压力变化发生的相邻压力传感器的叠加压力读数。 因此,检测到管道网络的破裂,并且通过根据流体流量要求,客户有序优先级和客户的预定加权系统的控制来调节,停止或调节通过受影响的管道传送的流量 需求水平。

    Method of automated learning, an apparatus therefor, and a system
incorporating such an apparatus
    6.
    发明授权
    Method of automated learning, an apparatus therefor, and a system incorporating such an apparatus 失效
    自动学习方法,其装置以及包含这种装置的系统

    公开(公告)号:US5465320A

    公开(公告)日:1995-11-07

    申请号:US907539

    申请日:1992-07-02

    摘要: In order to speed up and simplify automated learning of rules by a neural network making use of fuzzy logic, data from a system is analyzed by a teaching data creation means which groups the data into clusters and then selects a representative data item from each group for subsequent analysis. The selected data items are passed to a rule extraction means which investigates relationships between the data items, to derive rules, but eliminates rules which have only an insignificant effect on the system. The results are candidate rules which are stored in a first rule base. The candidate rules are then compared with rules in a second rule base to check for duplication and/or contradiction. Only those rules which are not duplicated and not contradictory are stored in the second rule base. Hence, when fuzzy inference is used to control the system on the basis of rules in the second rule base, only valid rules which provide a significant effect on the system are used.

    摘要翻译: 为了加快和简化由使用模糊逻辑的神经网络自动学习规则,通过教学数据创建装置分析来自系统的数据,其将数据分组成簇,然后从每组中选择代表性的数据项, 后续分析。 所选择的数据项被传递到规则提取装置,该装置调查数据项之间的关系,导出规则,但消除对系统仅具有微不足道的影响的规则。 结果是存储在第一规则库中的候选规则。 然后将候选规则与第二规则库中的规则进行比较,以检查重复和/或矛盾。 只有那些不重复而不矛盾的规则才存储在第二个规则库中。 因此,当使用模糊推理来基于第二规则库中的规则来控制系统时,仅使用对系统产生重大影响的有效规则。

    Plant operation support system
    10.
    发明授权
    Plant operation support system 失效
    工厂运行支持系统

    公开(公告)号:US5581459A

    公开(公告)日:1996-12-03

    申请号:US765839

    申请日:1991-09-26

    IPC分类号: G05B13/02 G06N3/04 G06F15/18

    摘要: When amounts of operation control variables and/or operation state evaluation variables of a plant are calculated through a multilayered neural network based on data indicating a plant state, and the calculated results are indicated to an operator, a plant operation support system has functions to analyze an internal causality between neurons in the neural network, and display quantitative guidance by association in the neural network and also the analyzed result of the internal causality between the neurons as an association reason.

    摘要翻译: 当基于指示工厂状态的数据通过多层神经网络计算工厂的操作控制变量和/或操作状态评估变量的数量时,将运算结果指示给操作者,工厂操作支持系统具有分析功能 神经网络中神经元之间的内在因果关系,并通过神经网络中的关联显示定量指导,以及神经元内部因果关系的分析结果作为关联原因。