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Standards-based Semantic Integration of Manufacturing Information: Past, Present, and Future
Boonserm Serm Kulvatunyou1, Hakju Oh1, Nenad Ivezic1
1Systems Integration Division, National Institute of Standards and Technology Gaithersburg, MD 20899, USA.
Service-oriented architecture (SOA) enables smart manufacturing by connecting diverse systems. Evolving data exchange standards are crucial for Industrial Internet of Things (IIoT) adoption, with a trend towards model-based approaches.
Area of Science:
- Manufacturing Systems Engineering
- Computer Science
- Information Systems
Background:
- Service-oriented architecture (SOA) is essential for modern manufacturing paradigms like smart manufacturing, Industrie 4.0, and cloud manufacturing.
- Connecting heterogeneous devices and software systems dynamically is a key challenge in these emerging paradigms.
- Data exchange standards are vital for mitigating risks in Industrial Internet of Things (IIoT) investments and adoption.
Purpose of the Study:
- To review the historical development, maintenance, and representation of data exchange standards for semantic interoperability.
- To analyze current trends in data exchange standards, focusing on the shift towards model-based practices.
- To outline functional requirements for a system supporting model-based data exchange and discuss future implications.
Main Methods:
- Historical analysis of data exchange standards development and evolution.
- Trend analysis of current practices in semantic data exchange.
- Presentation of functional requirements for a model-based system.
Main Results:
- The evolution of data exchange standards is traced, highlighting their increasing importance in IIoT and advanced manufacturing.
- A significant trend towards model-based development and usage in data exchange standards is identified.
- Functional requirements for supporting model-based approaches are proposed.
Conclusions:
- Model-based approaches represent a future direction for data exchange standards in manufacturing.
- Standardization efforts must adapt to support dynamic connectivity and semantic interoperability in complex industrial environments.
- Further research and development are needed to realize the full potential of model-based data exchange systems.
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