公开(公告)号：US20230142578A1

公开(公告)日：2023-05-11

申请号：US17948443

申请日：2022-09-20

Applicant: Fulian Yuzhan Precision Technology Co.,Ltd

Inventor： XIONG-BO LI ,  TSUNG-JU LIN ,  DAO-LIANG ZHOU ,  CHENG-LUN LEE ,  CHEN-TING WU

IPC: G06T7/00 ,  G06T5/00 ,  G06T5/20 ,  G06V10/94

CPC classification number: G06T7/0004 ,  G06T5/002 ,  G06T5/20 ,  G06V10/95 ,  G06T2207/30136 ,  G06T2207/30164 ,  G06T2207/20081 ,  G06T2207/20032 ,  G06T2207/20028 ,  G06V2201/06

Abstract: A system and a method for detecting welding based on edge computing, the system includes at least one edge server, each edge server configured to obtain welding information of at least one welding machine, preprocess the welding information to generate processed data, input the processed data to a trained algorithm to generate a detecting result, and determine a welding quality of the welding machine according to the detecting result; and a data server coupled to the at least one edge server and configured to process and store the detecting result and the welding information uploaded by each edge server, generate display information, and visualizes the detecting result according to the display information.

公开(公告)号：US20240157469A1

公开(公告)日：2024-05-16

申请号：US18507338

申请日：2023-11-13

Applicant: Fulian Yuzhan Precision Technology Co., Ltd.

Inventor： YEN TSAN ,  TSUNG-JU LIN ,  CHEN-TING WU ,  MING-TAO LUO ,  JUN-MING HUANG ,  TAI-YU CHOU ,  QUAN-XI CHEN

IPC: B23K26/02 ,  B23K26/70

CPC classification number: B23K26/02 ,  B23K26/707

Abstract: The present application provides a method for determining a stability of a welding equipment. The method includes acquiring initial welding images of the welding equipment; obtaining at least one welding spot position of each of at least one welded workpiece in each initial welding image by processing the initial welding images; determining a welding center position of each welded workpiece based on the at least one welding spot position of each welded workpiece, and obtaining welding center positions of all welded workpieces comprised in the initial welding images; and determining a stability of welding equipment based on the welding center positions of all welded workpieces. The method determines whether the welding equipment is stable by analyzing the welding images, thereby improving an accuracy of a detection of a stability of the welding equipment.

公开(公告)号：US20230384769A1

公开(公告)日：2023-11-30

申请号：US18232378

申请日：2023-08-10

Applicant: Fulian Yuzhan Precision Technology Co., Ltd.

Inventor： CHEN-TING WU ,  HONG-WEI ZHANG ,  WEI-TAO SI ,  QING-YU WANG ,  JING-JING LIU ,  LI YAN ,  FEI DU ,  WEI LI ,  BING-RU ZHOU ,  JUN-MEI LIU ,  XIAO-QING YI

IPC: G05B19/418

CPC classification number: G05B19/4183 ,  G05B19/41885

Abstract: The present application discloses an establishing method for establishing a dyeing model, a dyeing method, a device, and a storage medium which are applied to the dyeing technology field. The establishing method includes: obtaining historical data of dyeing a workpiece, the historical data includes historical dyeing time of the workpiece and historical color value of the workpiece after dyeing; and obtaining the dyeing model by training an initial model based on the historical data. The dyeing model is established using the historical data, and can establish a relationship between the dyeing time and the color value of the workpiece after dyeing. Based on the dyeing model, the dyeing time required for the workpiece can be determined according to a color value of the workpiece after dyeing. A precise dyeing process can be realized by determining the dyeing time using the dyeing model instead of determining the dyeing time manually.

公开(公告)号：US20230161842A1

公开(公告)日：2023-05-25

申请号：US17969426

申请日：2022-10-19

Applicant: Fulian Yuzhan Precision Technology Co., Ltd.

Inventor： CHEN-TING WU ,  XIN-DI LEI ,  HONG-WEI ZHANG ,  DENG-KUI TIAN ,  YING-YING NIE ,  CHENG-LUN LEE ,  QING-YU WANG

IPC: G06K9/62 ,  G06N20/00 ,  G05B13/02

CPC classification number: G06K9/6262 ,  G05B13/024 ,  G06N20/00

Abstract: A parameter setting method acquires historical processing data, pre-processes the historical processing data to obtain sample data, and creates a trained regression algorithm using the sample data, then acquires preliminary emulated processing data and predetermined objective parameters inputted, wherein the preliminary emulated processing data and the predetermined objective parameters constitute emulated processing data. A reinforcement learning algorithm is trained with the historical processing data, emulated processing data, and the reinforcement learning algorithm; an actual objective parameter are set according to the actual reference parameters and the reinforcement learning algorithm. Scale of the training data for the reinforcement learning algorithm is greatly increased by the trained regression algorithm, which improves the accuracy of the learning algorithm. A parameter setting device, an electronic device, and a storage medium are also disclosed.

公开(公告)号：US20230160811A1

公开(公告)日：2023-05-25

申请号：US17993180

申请日：2022-11-23

Applicant: Fulian Yuzhan Precision Technology Co., Ltd.

Inventor： CHEN-TING WU ,  HONG-WEI ZHANG ,  QING-YU WANG ,  LI YAN ,  DENG-KUI TIAN ,  CHENG-LUN LEE

IPC: G01N21/25

CPC classification number: G01N21/25

Abstract: A data analysis method for optimization of aluminum anodizing and dyeing process acquires a plurality of sample data groups, each sample data groups comprising dyeing result data and parameter data of multiple processing parameters. Contribution value of each processing parameter data relative to the dyeing result data in each of the plurality of sample data groups is determined, and the contribution values are used to determine at least one essential processing parameter. The essential processing parameters are then adjusted according to a data analysis result for improving quality of products. A computing device and storage medium are also provided.