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    System for controlling water treatment based on plankton monitoring
    1.
    发明授权
    System for controlling water treatment based on plankton monitoring 失效
    基于浮游生物监测的水处理系统

    公开(公告)号：US5505843A

    公开(公告)日：1996-04-09

    申请号：US267024

    申请日：1994-06-21

    申请人： Misako Obuchi ,  Shoji Watanabe ,  Mikio Yoda ,  Naoki Hara ,  Bunchi Kimura ,  Hayao Yahagi

    发明人： Misako Obuchi ,  Shoji Watanabe ,  Mikio Yoda ,  Naoki Hara ,  Bunchi Kimura ,  Hayao Yahagi

    IPC分类号： C02F1/00 ,  G01N33/18 ,  B01D17/12

    CPC分类号： G01N33/186

    摘要： In a water supply plant which cleans water taken in from such sources of intake water as lakes and marshes, dams, rivers and so on and delivers the water as city water, obstructions to water treatment is predicted and methods for preventing the obstruction are decided, by measuring kinds and quantity of plankton and comparing the measured data with rules representing relations among kinds and quality of plankton, obstructions to water treatment and counteractions to such obstructions stored in a rule base in advance.

    摘要翻译： 在一个供水厂，清洗从湖水，沼泽，水坝，河流等进水中吸入的水，并将水作为自来水输送，预测了水的处理障碍，并且决定了防止堵塞的方法， 通过测量浮游生物的种类和数量，并将测量数据与表示浮游生物的种类和质量，水处理障碍和预先存储在规则库中的这种障碍物的对抗的规则进行比较。

    Plant operation support system
    3.
    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

    申请人： Ichiro Enbutsu ,  Kenji Baba ,  Shoji Watanabe ,  Hayao Yahagi ,  Naoki Hara ,  Mikio Yoda

    发明人： Ichiro Enbutsu ,  Kenji Baba ,  Shoji Watanabe ,  Hayao Yahagi ,  Naoki Hara ,  Mikio Yoda

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

    CPC分类号： G06N3/0427 ,  G05B13/027 ,  Y10S706/903 ,  Y10S706/906

    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。

    Method of automated learning, an apparatus therefor, and a system incorporating such an apparatus
    7.
    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

    申请人： Ichiro Enbutsu ,  Kenzi Baba ,  Naoki Hara ,  Mikio Yoda ,  Shoji Watanabe ,  Hayao Yahagi

    发明人： Ichiro Enbutsu ,  Kenzi Baba ,  Naoki Hara ,  Mikio Yoda ,  Shoji Watanabe ,  Hayao Yahagi

    IPC分类号： G05B13/02 ,  G06F9/44 ,  G06F15/18 ,  G06N3/00 ,  G06N3/04 ,  G06N5/04 ,  G06N7/02 ,  G06F9/00

    CPC分类号： G06N5/025 ,  G05B13/0285 ,  G06N3/0436 ,  Y10S706/90

    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。

    Injection control system of flocculating agent
    10.
    发明授权
    Injection control system of flocculating agent 失效
    絮凝剂注射控制系统

    公开(公告)号：US4783269A

    公开(公告)日：1988-11-08

    申请号：US37157

    申请日：1987-04-10

    申请人： Kenji Baba ,  Shoji Watanabe ,  Naoki Hara ,  Mikio Yoda ,  Shunji Mori ,  Shunsuke Nogita ,  Yuzi Yamasawa ,  Toshimitu Akiyama

    发明人： Kenji Baba ,  Shoji Watanabe ,  Naoki Hara ,  Mikio Yoda ,  Shunji Mori ,  Shunsuke Nogita ,  Yuzi Yamasawa ,  Toshimitu Akiyama

    IPC分类号： C02F1/52 ,  C02F1/68 ,  G01N33/18

    CPC分类号： C02F1/685 ,  C02F1/5281

    摘要： An injection control system of a flocculating agent comprises: a flocculating pool into which the inflow liquid flocculating agent is injected and which forms flocs of suspended matters in the liquid; flocculating agent injecting means for injecting the flocculating agent into the flocculating pool; floc image pickup means for photographing a state of the flocs in the flocculating pool and for converting luminance data of the flocs into an electric signal; image recognizing means for recognizing the shape of floc by binarizing the image signal derived from the floc image pickup means on the basis of a luminance level of each pixel; flocculation state deciding means for calculating a characteristic amount of a diameter distribution of the flocs on the basis of the floc shapes recognized by the image recognizing means; and injection amount control means for controlling an amount of the flocculating agent which is injected from the flocculating agent injecting means on the basis of the characteristic amount.

    摘要翻译： 絮凝剂的注射控制系统包括：絮凝池，流入液体絮凝剂注入其中并在悬浮液中形成絮凝物; 用于将絮凝剂注入絮凝池的絮凝剂注入装置; 絮凝图像拾取装置，用于拍摄絮凝池中的絮状物的状态并将絮状物的亮度数据转换为电信号; 图像识别装置，用于通过基于每个像素的亮度级对来自絮状图像拾取装置的图像信号进行二值化来识别絮体的形状; 絮凝状态决定装置，用于根据由图像识别装置识别的絮状形状来计算絮凝物的直径分布的特征量; 以及喷射量控制装置，用于根据特征量控制从絮凝剂喷射装置喷射的絮凝剂的量。