Abstract
Traceability systems and digital assistance solutions are becoming increasingly vital parts of modern manufacturing environments. They help tracking quality-related information throughout the production process and support workers and maintenance personnel to cope with the increasing complexity of manufacturing technologies. In order to support these use cases, the integration of information from different data sources is required to create the necessary insights into processes, equipment and production quality. Common challenges for such integration scenarios are the various data formats, encodings and software interfaces that are involved in the acquisition, transmission, management and retrieval of relevant product and process data. This paper proposes a Linked Data based system architecture for modular and decoupled assistance software. Its web-oriented approach allows to connect two usually disparate data sets: semantic descriptions of complex production systems on the one hand and high-volume and high-velocity production data on the other hand. The proposed concept is illustrated with a typical example from the manufacturing domain. The described End-of-Line quality assessment on forming machines is used for traceability and product monitoring.
Highlights
Today’s production environments and the Internet of Things provide little standardization beyond the range of machine-to-machine (M2M) protocols
This paper proposes a Linked Data based system architecture for modular and decoupled assistance software
Interoperability for the digital transformation of the manufacturing domain is the focus of the Reference Architecture Model I4.0 (RAMI4.0) [1] and the Industrial Internet Reference Architecture (IIRA) [2]
Summary
Today’s production environments and the Internet of Things provide little standardization beyond the range of machine-to-machine (M2M) protocols. Interoperability for the digital transformation of the manufacturing domain is the focus of the Reference Architecture Model I4.0 (RAMI4.0) [1] and the Industrial Internet Reference Architecture (IIRA) [2] Both define architectural concepts, patterns and frameworks for information and communication technologies in the context of Industry 4.0 (I4.0) or the Industrial Internet of Things (IIoT). Machines and production systems are often using proprietary solutions for data storage and operators of large and heterogeneous production lines are confronted with different systems, databases or files in varying formats These are largely purpose-built for specific access patterns and interfaces and their lack of flexibility causes high effort for integration scenarios like the development of traceability systems or industrial assistance solutions. The proposed concept is illustrated with a typical example from the manufacturing domain, an End-of-Line quality assessment system on forming machines
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