中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

17 records (took 0.016 seconds)

    CLOUD-BASED ARCHITECTURE FOR ANALYSIS AND PREDICTION OF INTEGRATED TOOL-RELATED AND MATERIAL-RELATED DATA AND METHODS THEREFOR
    1.
    发明申请
    CLOUD-BASED ARCHITECTURE FOR ANALYSIS AND PREDICTION OF INTEGRATED TOOL-RELATED AND MATERIAL-RELATED DATA AND METHODS THEREFOR 审中-公开
    用于分析和预测集成工具相关和材料相关数据的基于云的架构及其方法

    公开(公告)号：US20140236515A1

    公开(公告)日：2014-08-21

    申请号：US14133499

    申请日：2013-12-18

    Applicant: Tom Thuy Ho ,  Weidong Wang

    Inventor： Tom Thuy Ho ,  Weidong Wang

    IPC: H01L21/66

    CPC classification number: H01L22/34 ,  G05B19/41875 ,  G05B2219/31352 ,  G05B2219/32179 ,  G05B2219/32187 ,  G05B2219/32194 ,  G05B2219/32221 ,  G05B2219/45031 ,  G06Q10/04

    Abstract: Cloud-based integrated yield/equipment data processing system for collecting and analyzing integrated tool-related data (cause data) and material-related data (effect data) pertaining to at least one material processing tool and at least one material is disclosed. In an embodiment, the tool-related data is correlated with the material-related data and the correlated tool-related data and material-related data is employed by logic to perform, using a cloud computing approach, at least one of root-cause analysis, prediction model building and tool control/optimization.

    Abstract translation: 公开了用于收集和分析与至少一种材料加工工具和至少一种材料有关的集成工具相关数据（原因数据）和材料相关数据（效果数据）的基于云的综合产量/设备数据处理系统。 在一个实施例中，工具相关数据与材料相关数据相关，并且相关的工具相关数据和材料相关数据由逻辑采用以使用云计算方法来执行根本原因分析中的至少一个 ，预测模型建立和工具控制/优化。

    Processing exception handling
    2.
    发明授权
    Processing exception handling 有权
    处理异常处理

    公开(公告)号：US08549012B2

    公开(公告)日：2013-10-01

    申请号：US12778855

    申请日：2010-05-12

    Applicant: Po-Feng Tsai ,  Jin-Ning Sung ,  Yen-Di Tsen ,  Jo Fei Wang ,  Jong-I Mou

    Inventor： Po-Feng Tsai ,  Jin-Ning Sung ,  Yen-Di Tsen ,  Jo Fei Wang ,  Jong-I Mou

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F7/00 ,  G05B19/41865 ,  G05B2219/31352 ,  G05B2219/33303 ,  G06F17/30

    Abstract: In accordance with an embodiment, a method for exception handling comprises accessing an exception type for an exception, filtering historical data based on at least one defined criterion to provide a data train comprising data sets, assigning a weight to each data set, and providing a current control parameter. The data sets each comprise a historical condition and a historical control parameter, and the weight assigned to each data set is based on each historical condition. The current control parameter is provided using the weight and the historical control parameter for each data set.

    Abstract translation: 根据实施例，用于异常处理的方法包括访问异常的异常类型，基于至少一个定义的标准过滤历史数据，以提供包括数据集的数据队列，为每个数据集分配权重，以及提供 电流控制参数。 数据集各自包含历史条件和历史控制参数，并且分配给每个数据集的权重基于每个历史条件。 使用每个数据集的权重和历史控制参数提供当前的控制参数。

    Self-learning manufacturing using digital twins
    3.
    发明授权
    Self-learning manufacturing using digital twins 有权

    公开(公告)号：US11868121B2

    公开(公告)日：2024-01-09

    申请号：US17380759

    申请日：2021-07-20

    Applicant: International Business Machines Corporation

    Inventor： Abhishek Kaul ,  Rajesh Ray ,  Seema Nagar ,  Pramod Vadayadiyil Raveendran

    IPC: G05B19/418 ,  G05B13/02 ,  G06Q50/04

    CPC classification number: G05B19/41865 ,  G05B13/028 ,  G06Q50/04 ,  G05B2219/31352 ,  G05B2219/32254 ,  G05B2219/35009

    Abstract: Systems, methods, and computer programming products for self-learning order dressing rules applied to manufacturing products in accordance with received product specifications. The translation from commercial characteristics to manufacturing characteristics of the product being manufactured are learned and adjusted to meet the specifications for quality required by the provided commercial characteristics. Reinforcement learning models learn from the quality characteristics of produced products by applying positive scores when the commercial to manufacturing characteristic translation is on-specification, otherwise a penalty is applied when an off-spec product is produced. Digital twins of manufacturing equipment, simulated in real time, provide insight and recommendations for achieving correct quality characteristics. Sensors in each device or within the surrounding environment help digital twins to measure operational performance and lifecycle of the manufacturing equipment against historical baselines. Reinforcement models dynamically adjust equipment settings for producing products to account for equipment performance degradation over time and changes in operation performance.

    ARCHITECTURE FOR ANALYSIS AND PREDICTION OF INTEGRATED TOOL-RELATED AND MATERIAL-RELATED DATA AND METHODS THEREFOR
    4.
    发明申请
    ARCHITECTURE FOR ANALYSIS AND PREDICTION OF INTEGRATED TOOL-RELATED AND MATERIAL-RELATED DATA AND METHODS THEREFOR 审中-公开
    一体化工具相关材料分析与预测结构及其相关方法

    公开(公告)号：US20130030760A1

    公开(公告)日：2013-01-31

    申请号：US13192387

    申请日：2011-07-27

    Applicant: Tom Thuy Ho ,  Weidong Wang ,  Woon-Kyu Choi ,  Ji-Hoon Keith Han ,  Gabriel Serge Villareal

    Inventor： Tom Thuy Ho ,  Weidong Wang ,  Woon-Kyu Choi ,  Ji-Hoon Keith Han ,  Gabriel Serge Villareal

    IPC: G06F15/00 ,  G06F17/18

    CPC classification number: G05B19/41875 ,  G05B2219/31352 ,  G05B2219/32179 ,  G05B2219/32187 ,  G05B2219/32194 ,  G05B2219/32221 ,  G05B2219/45031 ,  G06Q10/04

    Abstract: Integrated yield/equipment data processing system for collecting and analyzing integrated tool-related data (cause data) and material-related data (effect data) pertaining to at least one material processing tool and at least one material is disclosed. In an embodiment, the tool-related data is correlated with the material-related data, and the correlated tool-related data and material-related data is employed by logic to perform at least one of root-cause analysis, prediction model building and tool control/optimization. By integrating cause-and-effect data in a single platform, the data necessary for performing, for example, automated problem detection (e.g., automated root cause analysis) and prediction, is readily available and correlated, which for example shortens the cycle time to detection and facilitates efficient and timely automated tool management and control.

    Abstract translation: 公开了用于收集和分析与至少一种材料加工工具和至少一种材料相关的工具相关数据（原因数据）和材料相关数据（效果数据）的集成产量/设备数据处理系统。 在一个实施例中，与工具相关的数据与材料相关的数据相关联，并且相关的工具相关数据和材料相关数据被逻辑采用以执行根本原因分析，预测模型构建和工具中的至少一个 控制/优化。 通过将因果数据集成在单个平台中，执行例如自动化问题检测（例如，自动根本原因分析）和预测所需的数据是容易获得和相关的，这例如缩短了周期时间 检测并促进有效和及时的自动化工具管理和控制。

    Intelligent system for generating and executing a sheet metal bending plan
    5.
    发明申请
    Intelligent system for generating and executing a sheet metal bending plan 失效
    用于生成和执行钣金弯曲计划的智能系统

    公开(公告)号：US20020016647A1

    公开(公告)日：2002-02-07

    申请号：US09930252

    申请日：2001-08-16

    Applicant: AMADA AMERICA, Inc.

    Inventor： David Alan Bourne ,  Duane Thomas Williams ,  Kyoung Hung Kim ,  Sivaraj Sivarama Krishnan ,  Kensuke Hazama

    IPC: G06F019/00

    CPC classification number: B21D5/02 ,  G05B19/4069 ,  G05B19/4097 ,  G05B19/41825 ,  G05B2219/31352 ,  G05B2219/35189 ,  G05B2219/39105 ,  G05B2219/39467 ,  G05B2219/45143 ,  Y02P90/087 ,  Y02P90/20 ,  Y02P90/265 ,  Y02P90/86

    Abstract: An intelligent sheet metal bending system is disclosed, having a cooperative generative planning system. A planning module interacts with several expert modules to develop a bending plan. The planning module utilizes a state-space search algorithm. Computerized methods are provided for selecting a robot gripper and a repo gripper, and for determining the optimal placement of such grippers as they are holding a workpiece being formed by the bending apparatus. Computerized methods are provided for selecting tooling to be used by the bending apparatus, and for determining a tooling stage layout. An operations planning method is provided which allows the bending apparatus to be set up concurrently while time-consuming calculations, such as motion planning, are performed. An additional method or system is provided for positioning tooling stages by using a backstage guide member which guides placement of a tooling stage along the die rail of the bending apparatus. A method is provided for learning motion control offset values, and for eliminating the need for superfluous sensor-based control operations once the motion control offset values are known. The planning system may be used for facilitating functions such as design and assembly system, which may perform designing, costing, scheduling, and/or manufacture and assembly.

    Abstract translation: 公开了一种具有协同生成规划系统的智能钣金弯曲系统。 规划模块与几个专家模块交互制定弯曲计划。 规划模块利用状态空间搜索算法。 提供了用于选择机器人夹持器和回收夹持器的计算机化方法，并且用于确定这些夹持器在保持由弯曲装置形成的工件时的最佳布置。 提供了用于选择要由弯曲装置使用的工具以及用于确定加工台布局的计算机化方法。 提供了一种操作规划方法，其允许同时设置弯曲装置，同时执行诸如运动规划等耗时的计算。 提供了一种额外的方法或系统，用于通过使用引导工具台沿着弯曲设备的模具轨道的放置的后台引导构件来定位加工台。 提供了一种用于学习运动控制偏移值的方法，并且一旦知道运动控制偏移值就不需要多余的基于传感器的控制操作。 规划系统可以用于促进诸如设计和组装系统的功能，其可以执行设计，成本核算，调度和/或制造和组装。

    Processing Exception Handling
    6.
    发明申请
    Processing Exception Handling 有权
    处理异常处理

    公开(公告)号：US20110282885A1

    公开(公告)日：2011-11-17

    申请号：US12778855

    申请日：2010-05-12

    Applicant: Po-Feng Tsai ,  Jin-Ning Sung ,  Yen-Di Tsen ,  Jo Fei Wang ,  Jong-I Mou

    Inventor： Po-Feng Tsai ,  Jin-Ning Sung ,  Yen-Di Tsen ,  Jo Fei Wang ,  Jong-I Mou

    IPC: G06F17/30

    CPC classification number: G06F7/00 ,  G05B19/41865 ,  G05B2219/31352 ,  G05B2219/33303 ,  G06F17/30

    Abstract: In accordance with an embodiment, a method for exception handling comprises accessing an exception type for an exception, filtering historical data based on at least one defined criterion to provide a data train comprising data sets, assigning a weight to each data set, and providing a current control parameter. The data sets each comprise a historical condition and a historical control parameter, and the weight assigned to each data set is based on each historical condition. The current control parameter is provided using the weight and the historical control parameter for each data set.

    Abstract translation: 根据实施例，用于异常处理的方法包括访问异常的异常类型，基于至少一个定义的标准过滤历史数据，以提供包括数据集的数据队列，为每个数据集分配权重，以及提供 电流控制参数。 数据集各自包含历史条件和历史控制参数，并且分配给每个数据集的权重基于每个历史条件。 使用每个数据集的权重和历史控制参数提供当前的控制参数。

    Expert knowledge methods and systems for data analysis
    9.
    发明授权
    Expert knowledge methods and systems for data analysis 有权
    专家知识方法和数据分析系统

    公开(公告)号：US07653515B2

    公开(公告)日：2010-01-26

    申请号：US11698400

    申请日：2007-01-25

    Applicant: Puneet Yadav ,  Andrew D. Bailey, III

    Inventor： Puneet Yadav ,  Andrew D. Bailey, III

    IPC: G06F19/00

    CPC classification number: G05B19/41875 ,  G05B2219/31352 ,  G05B2219/32191 ,  Y02P90/22

    Abstract: A method for adjusting a data set defining a set of process runs, each process run having a set of data corresponding to a set of variables for a wafer processing operation is provided. A model derived from a data set is received. A new data set corresponding to one process run is received. The new data set is projected to the model. An outlier data point produced as a result of the projecting is identified. A variable corresponding to the one outlier data point is identified, the identified variable exhibiting a high contribution. A value for the variable from the new data set is identified. Whether the value for the variable is unimportant is determined. A normalized matrix of data is created, using random data and the variable that was determined to be unimportant from each of the new data set and the data set. The data set is updated with the normalized matrix of data.

    Abstract translation: 提供一种用于调整定义一组处理运行的数据集的方法，每个处理运行具有与用于晶片处理操作的一组变量相对应的一组数据。 接收从数据集导出的模型。 接收对应于一个进程运行的新数据集。 新数据集投影到模型中。 识别作为投影结果产生的异常值数据点。 识别与一个异常数据点对应的变量，所识别的变量表现出高贡献。 识别来自新数据集的变量的值。 确定变量的值是否不重要。 使用随机数据和被确定为与每个新数据集和数据集不重要的变量来创建数据的归一化矩阵。 数据集用数据的归一化矩阵更新。

    Intelligent system for generating and executing a sheet metal bending plan
    10.
    发明申请
    Intelligent system for generating and executing a sheet metal bending plan 审中-公开
    用于生成和执行钣金弯曲计划的智能系统

    公开(公告)号：US20040019402A1

    公开(公告)日：2004-01-29

    申请号：US10245313

    申请日：2002-09-18

    Applicant: AMADA AMERICA, INC. ,  AMADA COMPANY, LTD.

    Inventor： David Alan Bourne ,  Duane Thomas Williams ,  Kyoung Hung Kim ,  Sivaraj Sivarama Krishnan ,  Kensuke Hazama

    IPC: G06F019/00

    CPC classification number: B21D5/02 ,  G05B19/4069 ,  G05B19/4097 ,  G05B19/41825 ,  G05B2219/31352 ,  G05B2219/35189 ,  G05B2219/39105 ,  G05B2219/39467 ,  G05B2219/45143 ,  Y02P90/087 ,  Y02P90/20 ,  Y02P90/265 ,  Y02P90/86

    Abstract: An intelligent sheet metal bending system is disclosed, having a cooperative generative planning system. A planning module interacts with several expert modules to develop a bending plan. The planning module utilizes a state-space search algorithm. Computerized methods are provided for selecting a robot gripper and a repo gripper, and for determining the optimal placement of such grippers as they are holding a workpiece being formed by the bending apparatus. Computerized methods are provided for selecting tooling to be used by the bending apparatus, and for determining a tooling stage layout. An operations planning method is provided which allows the bending apparatus to be set up concurrently while time-consuming calculations, such as motion planning, are performed. An additional method or system is provided for positioning tooling stages by using a backstage guide member which guides placement of a tooling stage along the die rail of the bending apparatus. A method is provided for learning motion control offset values, and for eliminating the need for superfluous sensor-based control operations once the motion control offset values are known. The planning system may be used for facilitating functions such as design and assembly system, which may perform designing, costing, scheduling, and/or manufacture and assembly.

    Abstract translation: 公开了一种具有协同生成规划系统的智能钣金弯曲系统。 规划模块与几个专家模块交互制定弯曲计划。 规划模块利用状态空间搜索算法。 提供了用于选择机器人夹持器和回收夹持器的计算机化方法，并且用于确定这些夹持器在保持由弯曲装置形成的工件时的最佳布置。 提供了用于选择要由弯曲装置使用的工具以及用于确定加工台布局的计算机化方法。 提供了一种操作规划方法，其允许同时设置弯曲装置，同时执行诸如运动规划等耗时的计算。 提供了一种额外的方法或系统，用于通过使用引导工具台沿着弯曲设备的模具轨道的放置的后台引导构件来定位加工台。 提供了一种用于学习运动控制偏移值的方法，并且一旦知道运动控制偏移值就不需要多余的基于传感器的控制操作。 规划系统可以用于促进诸如设计和组装系统的功能，其可以执行设计，成本核算，调度和/或制造和组装。

Patent Agency Ranking