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1. 发明授权

US4888703A Apparatus for monitoring the toxicant contamination of water by using aquatic animals 失效
标题翻译：通过使用水生动物监测水的毒物污染的装置
公开(公告)号：US4888703A
公开(公告)日：1989-12-19
申请号：US93034
申请日：1987-09-04
申请人： Kenji Baba , Hayao Yahagi , Shoji Watanabe , Naoki Hara , Mikio Yoda , Shunji Mori , Takashi Iida , Takashi Katori , Masahiko Ishida
发明人： Kenji Baba , Hayao Yahagi , Shoji Watanabe , Naoki Hara , Mikio Yoda , Shunji Mori , Takashi Iida , Takashi Katori , Masahiko Ishida
IPC分类号： G01N33/18 , G06T7/00
CPC分类号： G06T7/0004 , G01N33/186 , G06K9/50 , G06T2207/30108
摘要： A fish is bred in a transparent basin, into which water to be tested is supplied. A light source and a television camera are arranged in such a manner that images of the fish are taken by the camera as a silhouette. From the thus obtained fish images, the frequency distribution of the gravity centers of the fish images in the direction of the depth of water are obtained. The abnormality of the behavior of the fish is detected by comparison of the obtained frequency distribution with a reference distribution provided in advance.
摘要翻译：在一个透明的盆地里养殖一条鱼，供应被测试的水。光源和电视摄像机以照相机作为轮廓拍摄的方式配置。从这样获得的鱼图像中，获得鱼图像在水深方向上的重心的频率分布。通过将获得的频率分布与预先提供的参考分布进行比较来检测鱼的行为的异常。

2. 发明授权

US5943662A Supporting method and system for process operation 失效
标题翻译：过程操作的支持方法和系统
公开(公告)号：US5943662A
公开(公告)日：1999-08-24
申请号：US220546
申请日：1994-03-31
申请人： Kenji Baba , Ichiro Enbutsu , Shoji Watanabe , Hayao Yahagi , Fumio Maruhashi , Harumi Matsuzaki , Hiroshi Matsumoto , Shunsuke Nogita , Mikio Yoda , Naoki Hara
发明人： Kenji Baba , Ichiro Enbutsu , Shoji Watanabe , Hayao Yahagi , Fumio Maruhashi , Harumi Matsuzaki , Hiroshi Matsumoto , Shunsuke Nogita , Mikio Yoda , Naoki Hara
IPC分类号： G05B13/02 , G06F9/44 , G06F15/18 , G06N3/08 , G06N5/04 , G06N7/02
CPC分类号： G05B13/027 , G05B13/0285 , Y10S706/903 , Y10S706/906
摘要： A method and a system for causing a neural circuit model to learn typical past control results of a process and using the neural circuit model for supporting an operation of the process. The neural circuit model is caused to learn by using, as input signals, a typical pattern of values of input variables at different points in time and, as a teacher signal, its corresponding values of the control variable. An unlearned pattern of input variables is inputted to the thus-learned neuron circuit model, whereby a corresponding value of the control variable is determined. Preferably, plural patterns at given time intervals can be simultaneously used as patterns to be learned.
摘要翻译：一种用于使神经电路模型学习过程的典型过去控制结果并使用所述神经电路模型来支持所述过程的操作的方法和系统。通过使用神经电路模型作为输入信号，在不同的时间点使用输入变量的典型值，并且作为教师信号，控制变量的相应值。将输入变量的未校正模式输入到如此学习的神经元电路模型中，由此确定控制变量的对应值。优选地，以给定时间间隔的多个图案可以同时用作要学习的图案。

3. 发明授权

US5581459A Plant operation support system 失效
标题翻译：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。

4. 发明授权

US5845052A Supporting method and system for process operation 失效
标题翻译：过程操作的支持方法和系统
公开(公告)号：US5845052A
公开(公告)日：1998-12-01
申请号：US582018
申请日：1996-01-02
申请人： Kenji Baba , Ichiro Enbutsu , Shoji Watanabe , Hayao Yahagi , Fumio Maruhashi , Harumi Matsuzaki , Hiroshi Matsumoto , Shunsuke Nogita , Mikio Yoda , Naoki Hara
发明人： Kenji Baba , Ichiro Enbutsu , Shoji Watanabe , Hayao Yahagi , Fumio Maruhashi , Harumi Matsuzaki , Hiroshi Matsumoto , Shunsuke Nogita , Mikio Yoda , Naoki Hara
IPC分类号： G05B13/02 , G06F9/44 , G06F15/18 , G06N3/08 , G06N5/04 , G06N7/02 , G06K9/00
CPC分类号： G05B13/027 , G05B13/0285 , Y10S706/903 , Y10S706/906
摘要： A method for causing a neural circuit model to learn typical past control results of a process and using the neural circuit model for supporting an operation of the process. The neural circuit model is caused to learn by using, as input signals, a typical pattern of values of input variables at different points in time and, as a teacher signal, its corresponding values of the control variable. An unlearned pattern of input variables is inputted to the thus-learned neuron circuit model, whereby a corresponding value of the control variable is determined. Preferably, plural patterns at given time intervals can be simultaneously used as patterns to be learned.
摘要翻译：一种用于使神经电路模型学习过程的典型过去控制结果并使用所述神经电路模型来支持所述过程的操作的方法。通过使用神经电路模型作为输入信号，在不同的时间点使用输入变量的典型值，并且作为教师信号，控制变量的相应值。将输入变量的未校正模式输入到如此学习的神经元电路模型中，由此确定控制变量的对应值。优选地，以给定时间间隔的多个图案可以同时用作要学习的图案。

5. 发明授权

US5774633A Supporting neural network method for process operation 失效
标题翻译：支持过程操作的神经网络方法
公开(公告)号：US5774633A
公开(公告)日：1998-06-30
申请号：US613718
申请日：1991-12-23
申请人： Kenji Baba , Ichiro Enbutsu , Shoji Watanabe , Hayao Yahagi , Fumio Maruhashi , Harumi Matsuzaki , Hiroshi Matsumoto , Shunsuke Nogita , Mikio Yoda , Naoki Hara
发明人： Kenji Baba , Ichiro Enbutsu , Shoji Watanabe , Hayao Yahagi , Fumio Maruhashi , Harumi Matsuzaki , Hiroshi Matsumoto , Shunsuke Nogita , Mikio Yoda , Naoki Hara
IPC分类号： G05B13/02 , G06F9/44 , G06F15/18 , G06N3/08 , G06N5/04 , G06N7/02
CPC分类号： G05B13/027 , G05B13/0285 , Y10S706/903 , Y10S706/906
摘要： A method and a system for causing a neural circuit model to learn typical past control results of a process and using the neural circuit model for supporting an operation of the process. The neural circuit model is caused to learn by using, as input signals, a typical pattern of values of input variables at different points in time and, as a teacher signal, its corresponding values of the control variable. An unlearned pattern of input variables is inputted to the thus-learned neuron circuit model, whereby a corresponding value of the control variable is determined. Preferably, plural patterns at given time intervals can be simultaneously used as patterns to be learned.
摘要翻译： PCT No.PCT / JP90 / 00322 Sec。 371 1991年12月23日第 102（e）1991年12月23日PCT PCT 1990年3月13日PCT公布。出版物WO90 / 10898 1990年9月20日1990年一种使神经电路模型学习过程的典型过去控制结果并使用神经电路模型支持过程操作的方法和系统。通过使用神经电路模型作为输入信号，在不同的时间点使用输入变量的典型值，并且作为教师信号，控制变量的相应值。将输入变量的未校正模式输入到如此学习的神经元电路模型中，由此确定控制变量的对应值。优选地，以给定时间间隔的多个图案可以同时用作要学习的图案。

6. 发明授权

US5324431A Process for treating suspended substances in liquor 失效
标题翻译：处理酒中悬浮物质的方法
公开(公告)号：US5324431A
公开(公告)日：1994-06-28
申请号：US571924
申请日：1990-08-24
申请人： Shoji Watanabe , Kenji Baba , Ichiro Enbutsu , Hayao Yahagi , Harumi Matsuzaki , Mikio Yoda , Naoki Hara , Yoshikatsu Asada
发明人： Shoji Watanabe , Kenji Baba , Ichiro Enbutsu , Hayao Yahagi , Harumi Matsuzaki , Mikio Yoda , Naoki Hara , Yoshikatsu Asada
IPC分类号： G01N21/17 , B01D21/01 , B01D24/48 , B01D29/46 , B01D29/60 , B01D29/62 , C02F1/58 , C02F3/00 , C02F3/12 , C02F3/34 , C12Q1/02 , G01N15/04 , G01N33/18 , G05D21/02 , C02F3/02
CPC分类号： G05D21/02 , C02F3/006 , C02F3/34 , G01N33/1866
摘要： Suspended substances, such as active sludge, in a liquor is treated in an apparatus for treating the liquor by predicting a suspension state on the basis of an amount of existing suspended substances in the liquor.
摘要翻译：液体中的悬浮物质如活性污泥在用于处理液体的装置中通过基于液体中现有悬浮物质的量预测悬浮状态进行处理。

7. 发明授权

US4783269A Injection control system of flocculating agent 失效
标题翻译：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。

8. 发明授权

US5465320A Method of automated learning, an apparatus therefor, and a system incorporating such an apparatus 失效
标题翻译：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。

9. 发明授权

US5505843A System for controlling water treatment based on plankton monitoring 失效
标题翻译：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。

10. 发明授权

US4654139A Flocculation basin in water treatment process 失效
标题翻译：絮凝盆水处理工艺
公开(公告)号：US4654139A
公开(公告)日：1987-03-31
申请号：US742560
申请日：1985-06-07
申请人： Kenji Baba , Shoji Watanabe , Shunsuke Nogita , Mikio Yoda , Akihiro Tanaka , Shunji Mori
发明人： Kenji Baba , Shoji Watanabe , Shunsuke Nogita , Mikio Yoda , Akihiro Tanaka , Shunji Mori
IPC分类号： C02F1/52 , G01N15/00 , G01N15/02
CPC分类号： C02F1/5209 , C02F1/5281 , G01N15/02 , C02F2209/105 , G01N2015/0092
摘要： The fluidizing speed of water inside a flocculation basin of a water treatment process plant is adjusted in accordance with the state of flocculation inside the flocculation basin. The state of flocculation is determined by taking a plurality of pictures within a predetermined period by an ITV disposed inside the basin, recognizing a sufficiently large number of flocs from the pictures thus taken, calculating the particle diameters of the flocs and determining the particle diameter distribution from the result of calculation. The judgement signal is used as a signal for adjusting the water fluidizing speed.
摘要翻译：根据絮凝盆内絮凝状态调节水处理厂絮凝盆内水的流化速度。通过在盆内设置的ITV在预定时间内摄取多张图像来确定絮凝状态，从所拍摄的图像中识别足够大量的絮凝物，计算絮凝物的粒径并确定粒径分布从计算结果。判断信号用作调节水流速的信号。

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