Abstract
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.
Highlights
Digital total quality management is a management concept driven by technology and management
It lays a good foundation for the subsequent analysis and prediction reliability and shows that the cleaning of quality data resources is effective and feasible
Conclusion is paper designs a quality data integration framework based on multiterminal collaboration, which can effectively realize the centralized collection of quality data in the workshop equipment side, management process and external system, and process according to the business requirements
Summary
Digital total quality management is a management concept driven by technology and management. Chen et al [5], Qin [6], and Zhang [7] established a unified semantic information model for typical manufacturing resources based on OPC-UA standard protocol and realized data collection and unified management of typical equipment in workshop. Implement the concept of quality data as the center, and put forward a complete solution of quality data acquisition based on multiterminal cooperation, quality data integration based on ODPS, and quality data cleaning based on algorithm It realizes the centralized collection and control of quality data in the whole life cycle of complex equipment, efficiently cleans the noisy quality data and unifies the quality data view, provides a solution for the interworking of quality data of complex equipment, and lays a foundation for the integration of digital total quality management system. At the same time, due to the poor time sensitivity of the cloud and poor task customization capabilities, it often fails to meet real-time requirements. e device side, management side, and system side have two Complexity
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