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公开(公告)号：US11797557B2
公开(公告)日：2023-10-24
申请号：US17438752
申请日：2020-12-03
Applicant: BOE Technology Group Co., Ltd.
Inventor： Fei Yuan , Hong Wang , Jianmin Wu , Guoliang Shen , Tian Lan , Yue Tang , Haohan Wu , Yingli Zeng , Jianzhou Wang , Guanchun Bai
IPC: G06F16/00 , G06F16/25 , G06F16/28 , G06F16/215 , G06F16/23 , H04L67/63 , G06F3/0482 , G06F7/08 , H04L67/1008 , H04L67/1097
CPC classification number: G06F16/254 , G06F3/0482 , G06F7/08 , G06F16/215 , G06F16/2365 , G06F16/285 , H04L67/1008 , H04L67/1097 , H04L67/63
Abstract: A data management platform for intelligently managing data is provided. The data management platform includes an ETL module configured to extract, cleanse, transform, or load data; a data lake configured to store a first group of data formed by extracting raw data from a plurality of data sources by the ETL module; a data warehouse configured to store a second group of data formed by cleansing and standardizing on the first group of data; a general data layer configured to store a third group of data formed by subjecting the second group of data to data fusion; and a data mart configured to store a fourth group of data formed by transforming the third group of data by the ETL module. The general data layer is a distributed data storage storing information available for querying. The data mart is a database of NoSQL type storing information available for computational processing.
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公开(公告)号：US20220179873A1
公开(公告)日：2022-06-09
申请号：US17490347
申请日：2021-09-30
Applicant: BOE Technology Group Co., Ltd.
Inventor： Fei Yuan , Hong Wang , Jianmin Wu , Guoliang Shen , Tian Lan , Yue Tang , Haohan Wu , Yingli Zeng , Jianzhou Wang , Guanchun Bai
IPC: G06F16/25 , G06F16/28 , G06F16/23 , G06F16/2457 , G06F16/27 , G06F16/242 , H04L29/08 , G06F16/215
Abstract: A data management platform for intelligently managing data is provided. The data management platform includes an ETL module configured to extract, cleanse, transform, or load data; a data lake configured to store a first group of data formed by extracting raw data from a plurality of data sources by the ETL module; a data warehouse configured to store a second group of data formed by cleansing and standardizing on the first group of data; a general data layer configured to store a third group of data formed by subjecting the second group of data to data fusion; and a data mart configured to store a fourth group of data formed by transforming the third group of data by the ETL module. The general data layer is a distributed data storage storing information available for querying. The data mart is a database of NoSQL type storing information available for computational processing.
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公开(公告)号：US11809438B2
公开(公告)日：2023-11-07
申请号：US17297723
申请日：2020-09-22
Applicant: BOE Technology Group Co., Ltd.
IPC: G06F16/2458 , G05B19/418
CPC classification number: G06F16/2465 , G05B19/41875 , G05B2219/32368
Abstract: According to the embodiments of the present disclosure, there is provided a method and device of detecting fault in production, and a computer readable storage medium. The method includes: determining whether a plurality of production paths in a production line are faultless in one or more production batches, based on production record data; and determining at least one of the plurality of production paths to be faulty, at least partially based on whether the plurality of production paths are faultless in the one or more production batches.
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Patent Agency Ranking
公开(公告)号：US20220182442A1
公开(公告)日：2022-06-09
申请号：US17490310
申请日：2021-09-30
Applicant: BOE Technology Group Co., Ltd.
Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to defects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.
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公开(公告)号：US20220374004A1
公开(公告)日：2022-11-24
申请号：US17438719
申请日：2020-12-03
Applicant: BOE Technology Group Co., Ltd.
IPC: G05B19/418 , G06K9/62
Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to detects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.
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公开(公告)号：US12061935B2
公开(公告)日：2024-08-13
申请号：US17490310
申请日：2021-09-30
Applicant: BOE Technology Group Co., Ltd.
CPC classification number: G06F9/52 , G06F16/254
Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to defects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.
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公开(公告)号：US12032364B2
公开(公告)日：2024-07-09
申请号：US17438719
申请日：2020-12-03
Applicant: BOE Technology Group Co., Ltd.
IPC: G05B19/418 , G06F18/214
CPC classification number: G05B19/41875 , G05B19/4183 , G06F18/214
Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to detects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.
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公开(公告)号：US20220365945A1
公开(公告)日：2022-11-17
申请号：US17438752
申请日：2020-12-03
Applicant: BOE Technology Group Co., Ltd.
Inventor： Fei Yuan , Hong Wang , Jianmin Wu , Guoliang Shen , Tian Lan , Yue Tang , Haohan Wu , Yingli Zeng , Jianzhou Wang , Guanchun Bai
IPC: G06F16/25 , H04L67/1097 , H04L67/63 , H04L67/1008 , G06F3/0482 , G06F16/215 , G06F16/23 , G06F7/08 , G06F16/28
Abstract: A data management platform for intelligently managing data is provided. The data management platform includes an ETL module configured to extract, cleanse, transform, or load data; a data lake configured to store a first group of data formed by extracting raw data from a plurality of data sources by the ETL module; a data warehouse configured to store a second group of data formed by cleansing and standardizing on the first group of data; a general data layer configured to store a third group of data formed by subjecting the second group of data to data fusion; and a data mart configured to store a fourth group of data formed by transforming the third group of data by the ETL module. The general data layer is a distributed data storage storing information available for querying. The data mart is a database of NoSQL type storing information available for computational processing.
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