Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration
With the advancement of digital manufacturing technology, data-driven quality management is getting more and more attention, and it is developing rapidly under the impetus of technology and management. Quality data are growing exponentially with the help of increasingly interconnected devices and Io...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5943184 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849403832367316992 |
|---|---|
| author | Cui-Bin Ji Gui-Jiang Duan Jun-Yan Zhou Wei-Jie Xuan |
| author_facet | Cui-Bin Ji Gui-Jiang Duan Jun-Yan Zhou Wei-Jie Xuan |
| author_sort | Cui-Bin Ji |
| collection | DOAJ |
| description | With the advancement of digital manufacturing technology, data-driven quality management is getting more and more attention, and it is developing rapidly under the impetus of technology and management. Quality data are growing exponentially with the help of increasingly interconnected devices and IoT (Internet of Things technologies). Aiming at the problems of insufficient quality data acquisition and poor data quality of complex equipment, the research on quality data integration and cleaning based on digital total quality management is carried out. The data integration architecture of complex equipment quality based on multiterminal collaboration is constructed. The architecture integrates a variety of integration methods and standards, such as XML, OPC-UA, and QIF protocol. Then, to unify the data view, a cleaning method of complex equipment quality data based on the combination of edit distance and longest common subsequence similarity calculation is proposed, and its effectiveness is verified. It provides the basis for the design of the digital total quality management system of complex equipment. |
| format | Article |
| id | doaj-art-97162b967faa461ea578225bdff5c06f |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-97162b967faa461ea578225bdff5c06f2025-08-20T03:37:09ZengWileyComplexity1099-05262021-01-01202110.1155/2021/5943184Equipment Quality Data Integration and Cleaning Based on Multiterminal CollaborationCui-Bin Ji0Gui-Jiang Duan1Jun-Yan Zhou2Wei-Jie Xuan3Department of Industry and Manufacturing System EngineeringDepartment of Industry and Manufacturing System EngineeringSouthwest Technology and Engineering Research InstituteBeijing Institute of Control and Electronics TechnologyWith the advancement of digital manufacturing technology, data-driven quality management is getting more and more attention, and it is developing rapidly under the impetus of technology and management. Quality data are growing exponentially with the help of increasingly interconnected devices and IoT (Internet of Things technologies). Aiming at the problems of insufficient quality data acquisition and poor data quality of complex equipment, the research on quality data integration and cleaning based on digital total quality management is carried out. The data integration architecture of complex equipment quality based on multiterminal collaboration is constructed. The architecture integrates a variety of integration methods and standards, such as XML, OPC-UA, and QIF protocol. Then, to unify the data view, a cleaning method of complex equipment quality data based on the combination of edit distance and longest common subsequence similarity calculation is proposed, and its effectiveness is verified. It provides the basis for the design of the digital total quality management system of complex equipment.http://dx.doi.org/10.1155/2021/5943184 |
| spellingShingle | Cui-Bin Ji Gui-Jiang Duan Jun-Yan Zhou Wei-Jie Xuan Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration Complexity |
| title | Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration |
| title_full | Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration |
| title_fullStr | Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration |
| title_full_unstemmed | Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration |
| title_short | Equipment Quality Data Integration and Cleaning Based on Multiterminal Collaboration |
| title_sort | equipment quality data integration and cleaning based on multiterminal collaboration |
| url | http://dx.doi.org/10.1155/2021/5943184 |
| work_keys_str_mv | AT cuibinji equipmentqualitydataintegrationandcleaningbasedonmultiterminalcollaboration AT guijiangduan equipmentqualitydataintegrationandcleaningbasedonmultiterminalcollaboration AT junyanzhou equipmentqualitydataintegrationandcleaningbasedonmultiterminalcollaboration AT weijiexuan equipmentqualitydataintegrationandcleaningbasedonmultiterminalcollaboration |