학술논문

Reference Architecture for Metadata Management - A Case Study on Data Mining in the Development of Cyber-Physical Systems
Document Type
Conference
Source
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2023 IEEE International Conference on. :1057-1061 Dec, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Databases
Soft sensors
Metadata
Permission
User experience
Usability
Standards
data catalogue
Product optimization
Data Warehouse Management
Language
Abstract
In the domain of mechatronic system development, there exists a significant potential for the collection and utilization of vast amounts of operational data. The practical implementation of this potential presents considerable opportunities, although accompanied by substantial challenges. While some companies have already gathered large volumes of data, they are yet not able to utilize its full potential for optimizing technical systems. An essential factor in enabling developers to effectively leverage operational data lies in ensuring accessibility to the data and facilitating intuitive navigation within the database structures. This article examines the prerequisites for a database structure that can be intuitively utilized by developers as end-users. Using the example of a machine tool manufacturer, an architecture for metadatabases is presented, which incorporates user involvement in the architecture development process and is implemented within the research environment of the present research work. A comparative analysis against the pre-existing metadatabase architecture reveals significant enhancements in the usability of metadata for developers.