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    SYSTEM AND METHOD FOR ANALYZING CAUSE OF PRODUCT DEFECT, COMPUTER READABLE MEDIUM
    3.
    发明申请
    SYSTEM AND METHOD FOR ANALYZING CAUSE OF PRODUCT DEFECT, COMPUTER READABLE MEDIUM 有权

    公开(公告)号：US20210364999A1

    公开(公告)日：2021-11-25

    申请号：US16972402

    申请日：2019-11-29

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Tian LAN ,  Hong WANG ,  Dong CHAI ,  Haohan WU ,  Guoliang SHEN ,  Weihe LIU

    IPC: G05B19/406 ,  G06F3/147 ,  G06N20/00

    Abstract: A system for analyzing cause of product defect, including: a distributed storage device configured to store production data generated by a factory device; an analysis device including one or more processors configured to perform: acquiring a production record from the production data; the production record includes information of processing devices used during production procedures for producing the products and information of defects occurring, where each product is processed by multiple processing devices, and each processing device participates in only the production procedures of a portion of the products; determining a correlation weight of the processing device to be analyzed corresponding to a defect to be analyzed according to the production record, and determining a correlation between the processing device to be analyzed and the defect to be analyzed according to the correlation weight; a display device configured to display an analysis result of the analysis device.

    IMAGE DATA CLASSIFICATION METHOD, DEVICE AND SYSTEM
    6.
    发明申请
    IMAGE DATA CLASSIFICATION METHOD, DEVICE AND SYSTEM 有权

    公开(公告)号：US20220092359A1

    公开(公告)日：2022-03-24

    申请号：US17477070

    申请日：2021-09-16

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Libo ZHANG ,  Yuanyuan LU ,  Wangqiang HE ,  Dong CHAI ,  Hong WANG

    IPC: G06K9/62 ,  G06T7/00

    Abstract: The present disclosure relates to an image data classification method, device and system, and relates to the field of computer technology. The method includes: inputting test image data into a neural network model trained by using an original training sample set for classification, and determining an image type to which the test image data belongs and a membership probability of the image data belonging to the image type; establishing an easy-to-classify data set, according to test image data with a membership probability greater than a first threshold; adding test image data in the easy-to-classify data set that has a classification accuracy rate less than or equal to a second threshold and a correct classification result to the original training sample set to generate an augmented training sample set; and using the augmented training sample set to train the neural network model so as to determine an image class

    PRODUCTION PROGRAMMING SYSTEM AND METHOD BASED ON NONLINEAR PROGRAM MODEL, AND COMPUTER-READABLE STORAGE MEDIUM
    8.
    发明申请
    PRODUCTION PROGRAMMING SYSTEM AND METHOD BASED ON NONLINEAR PROGRAM MODEL, AND COMPUTER-READABLE STORAGE MEDIUM 有权

    公开(公告)号：US20220317644A1

    公开(公告)日：2022-10-06

    申请号：US17431790

    申请日：2020-02-28

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Weihe LIU ,  Dong CHAI ,  Haohan WU ,  Guoliang SHEN ,  Tian LAN

    IPC: G05B19/042

    Abstract: The present disclosure provides a production programming system based on a nonlinear program model, including: a distributed storage device and an analysis device, wherein the analysis device includes a processor configured to obtain production record information; construct the nonlinear program model based on the production record information; and solve the nonlinear program model to obtain first feasible solutions. The nonlinear program model includes a constraint condition that satisfies process requirements and an objective function indicating pressure equilibrium across the same device set, and each of the first feasible solutions is configured to indicate a production program. The present disclosure further provides a production programming method and a computer-readable storage medium which can improve efficiency and reduce device idleness rate.

    INFERENCE COMPUTING APPARATUS, MODEL TRAINING APPARATUS, INFERENCE COMPUTING SYSTEM
    10.
    发明申请
    INFERENCE COMPUTING APPARATUS, MODEL TRAINING APPARATUS, INFERENCE COMPUTING SYSTEM 有权

    公开(公告)号：US20210209488A1

    公开(公告)日：2021-07-08

    申请号：US17044276

    申请日：2019-12-20

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Zhaoyue LI ,  Dong CHAI ,  Yuanyuan LU ,  Hong WANG

    IPC: G06N5/04 ,  G06N3/08 ,  G06T7/00

    Abstract: An inference computing apparatus comprises at least one processor and a memory with program instructions stored therein, the program instructions can be executed by the at least one processor to cause the inference computing apparatus to perform the following operations: receiving a first inference model from a model training apparatus, the first inference model being obtained through a model training by the model training apparatus based on a first training sample library, the first training sample library comprising training samples from historical data generated in a manufacturing stage; performing an inference computing on data to be processed generated in the manufacturing stage based on the first inference model to obtain the inference result which is sent to a user-side device; and evaluating performance of the first inference model to determine whether the first inference model needs to be updated, and if yes, updating the first inference model.

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