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    Autonomous metal-plate inspection apparatus, inspection method, and method for manufacturing metal plate
    13.
    发明授权
    Autonomous metal-plate inspection apparatus, inspection method, and method for manufacturing metal plate 有权

    公开(公告)号：US12050453B2

    公开(公告)日：2024-07-30

    申请号：US17432612

    申请日：2020-02-18

    申请人： JFE STEEL CORPORATION

    发明人： Yuji Ohara ,  Fumihiko Takahama

    IPC分类号： G05B19/418 ,  G06T7/00

    CPC分类号： G05B19/41875 ,  G05B19/4183 ,  G06T7/0004

    摘要： An autonomous metal-plate inspection apparatus, an inspection method, and a method for manufacturing a metal plate by using the inspection apparatus. The autonomous metal-plate inspection apparatus includes a carriage that travels on a surface of a metal plate, a navigational transmitter or a navigational receiver, an inspection device that includes flaw detection head including an inspection sensor, which scans an inspection region of the metal plate, and an inspection-result generation unit for generating an inspection result, and a control unit that performs, on the basis of a position of the carriage measured by the position measurement system and a target position, control the carriage to autonomously travel to the target position and control the flaw detection head to scan. The inspection-result generation unit generates the inspection result on the basis of inspection information obtained by the inspection sensor and position information of the flaw detection head.

    Method of controlling data transfer in a manufacturing plant and a system thereof
    14.
    发明授权
    Method of controlling data transfer in a manufacturing plant and a system thereof 有权

    公开(公告)号：US12050451B2

    公开(公告)日：2024-07-30

    申请号：US17276838

    申请日：2019-09-17

    申请人： ABB Schweiz AG

    发明人： Shrikant Bhat ,  Raoul Jetley

    IPC分类号： G05B19/418

    CPC分类号： G05B19/4185 ,  G05B19/4183 ,  G05B19/41865 ,  G05B19/41885

    摘要： In an embodiment, the present disclosure discloses a method and a module for controlling data transfer in a manufacturing plant. The IoT module is configured to receive a request for a plurality of parameters from a second application from one or more applications. The request is made by a first application from the one or more applications. The IoT module determines status of the requested parameters. The status indicates if the requested parameters are authorized for sharing. Further, the IoT module transfers only the authorized parameters to the first module based on the status. Thus, the present disclosure provides a method and a IoT module for sharing data securely within the manufacturing plant.

    SYSTEM AND METHOD WITH SEQUENCE MODELING OF SENSOR DATA FOR MANUFACTURING
    16.
    发明公开
    SYSTEM AND METHOD WITH SEQUENCE MODELING OF SENSOR DATA FOR MANUFACTURING 审中-公开

    公开(公告)号：US20240201668A1

    公开(公告)日：2024-06-20

    申请号：US18067410

    申请日：2022-12-16

    申请人： Robert Bosch GmbH

    发明人： Filipe Condessa ,  Devin Willmott ,  Ivan Batalov ,  Joao Semedo ,  Zhichun Huang ,  Wan-Yi Lin ,  Bahare Azari

    IPC分类号： G05B19/418

    CPC分类号： G05B19/4184 ,  G05B19/4183

    摘要： A computer-implemented system and method include establishing a station sequence that a given part traverses. A history embedding sequence is generated and comprises (a) history measurement embeddings based on history measurement data, the history measurement data relating to attributes of at least one other part that traversed the plurality of stations before the given part, (b) history part identifier embeddings based at least one history part identifiers of at least one other part, and (c) history station identifier embeddings based on the at least one history station identifier corresponding to the history measurement data. An input embedding sequence is generated and comprises (a) measurement embeddings based on observed measurement data, the observed measurement data relating to attributes of the given part at each station of a station subsequence of the station sequence, (b) part identifier embeddings based on a part identifier of the given part, and (c) station identifier embeddings based on station identifiers corresponding to the observed measurement data. An encoding network generates intermediate history features based on the history embedding sequence. A decoding network generates predicted measurement data based on the intermediate history features and the input embedding sequence. The predicted measurement data includes next measurement data of the given part at a next station, where the next station follows the station subsequence in the station sequence.

    DEFECT PROFILING AND TRACKING SYSTEM FOR PROCESS-MANUFACTURING ENTERPRISE
    17.
    发明公开
    DEFECT PROFILING AND TRACKING SYSTEM FOR PROCESS-MANUFACTURING ENTERPRISE 审中-公开

    公开(公告)号：US20240192668A1

    公开(公告)日：2024-06-13

    申请号：US18581005

    申请日：2024-02-19

    申请人： Noodle Analytics, Inc.

    发明人： Gopal Datt JOSHI ,  Amar KUMAR ,  Naveen TEWARI

    IPC分类号： G05B19/418 ,  G05B13/02

    CPC分类号： G05B19/41875 ,  G05B13/0295 ,  G05B19/4183 ,  G05B19/4188 ,  G05B2219/32221

    摘要： A defect profiling and tracking system for a process-manufacturing enterprise is provided. The system includes a memory and a processor. The processor is configured to access entity data for a plurality of entities of the process-manufacturing enterprise and process parameter data for one or more deviating entities. The processor is configured to analyze the entity data and the process parameter data for each of the deviating entities to determine a plurality of relationships between quality defects and the process parameters to generate a unique entity specific process signature (EPS) for each entity. The processor is configured to receive real-time process parameter data for one or more entities to generate a real-time process signature for the one or more entities and compare the real-time process signature of each entity with EPS corresponding to the entity to detect one or more EPS matches that are indicative of a quality defect.

    System and a Method for Asset Monitoring in an Industrial Plant
    18.
    发明公开
    System and a Method for Asset Monitoring in an Industrial Plant 审中-公开

    公开(公告)号：US20240192666A1

    公开(公告)日：2024-06-13

    申请号：US18582840

    申请日：2024-02-21

    申请人： ABB Schweiz AG

    发明人： Varghese Riju ,  Milind Bhangale ,  Vivek Nair ,  Anders Trosten

    IPC分类号： G05B19/418 ,  G05B19/042

    CPC分类号： G05B19/4185 ,  G05B19/0426 ,  G05B19/4183 ,  G05B19/41885

    摘要： A method, performed by an industrial automation system, for condition monitoring an industrial plant includes receiving operational data of die industrial plant and obtaining an information model corresponding to at least one asset of the industrial plant from a cloud infrastructure. The method further includes processing die operational data using the information model to generate a recommendation for a control action. The industrial automation system is configured to provide a means to update the information model by dynamically receiving a new scheme for condition monitoring from a user and generating an updated information model based on the received scheme using an engineering tool m the cloud infrastructure. The step of updating the information model is performed by storing the updated information model in a machine readable file format on the cloud infrastructure.

    MANAGING NOISE IN AN INDUSTRIAL ENVIRONMENT
    19.
    发明公开
    MANAGING NOISE IN AN INDUSTRIAL ENVIRONMENT 审中-公开

    公开(公告)号：US20240184278A1

    公开(公告)日：2024-06-06

    申请号：US18060600

    申请日：2022-12-01

    申请人： International Business Machines Corporation

    发明人： Christian Compton ,  Jeremy R. Fox ,  Tushar Agrawal ,  Sarbajit K. Rakshit

    IPC分类号： G05B19/418

    CPC分类号： G05B19/4188 ,  G05B19/4183 ,  G05B19/41885

    摘要： Computer-implemented methods for managing noise in an industrial environment. Aspects include obtaining a layout of the industrial environment, wherein the layout includes a plurality of machines and creating a digital representation of the industrial environment, wherein the digital twin for each of the plurality of machines. Aspects also include simulating operation of the industrial environment based on the digital representation and performing a sound analysis of the industrial environment based on the simulation. Based on a determination that a noise level identified by the sound analysis is expected to exceed a threshold level, aspects include identifying a maintenance recommendation for one of the plurality of machines based on the digital representation of the industrial environment.

    MACHINE LEARNING IN A NON-PUBLIC COMMUNICATION NETWORK
    20.
    发明公开
    MACHINE LEARNING IN A NON-PUBLIC COMMUNICATION NETWORK 审中-公开

    公开(公告)号：US20240184272A1

    公开(公告)日：2024-06-06

    申请号：US17969248

    申请日：2022-10-19

    申请人： Telefonaktiebolaget LM Ericsson (publ)

    发明人： Peter Vaderna ,  Zsófia Kallus ,  Maxime Bouton ,  Carmen Lee Altmann

    IPC分类号： G05B19/418

    CPC分类号： G05B19/4183 ,  G05B19/4185 ,  G05B19/41895

    摘要： Equipment that supports a non-public communication network trains a machine learning model with a training dataset to make a prediction or decision in the network. The equipment determines whether the trained model is valid or invalid based on whether predictions or decisions that the trained model makes from a validation dataset satisfy performance requirements. Based on the trained model being invalid, the equipment analyzes the training dataset and/or the trained model to determine what additional training data to add to the training dataset. The equipment transmits signaling for configuring one or more autonomous or automated mobile devices served by the network to help collect the additional training data. The equipment then re-trains the model with the training dataset as supplemented with the additional training data.