Industrial Data Space Architecture Implementation Using FIWARE.

Area of Science:

• Digital Transformation
• Internet of Things (IoT)
• Industry 4.0

Background:

• The digital revolution, driven by the Internet of Things (IoT), is transforming services, infrastructure, and daily life.
• IoT integration into production processes, known as Industry 4.0, enables real-time communication, smart diagnosis, and autonomous decision-making in manufacturing.
• The Industrial Data Spaces (IDS) Association developed a Reference Architecture Model to standardize Industry IoT infrastructure deployment.

Purpose of the Study:

• To present an implementation of the IDS Reference Architecture Model.
• To utilize FIWARE open-source software components (Generic Enablers) for this implementation.
• To validate the proposed architecture in a real-world industrial use case.

Main Methods:

• Implementation of the IDS Reference Architecture using FIWARE open-source components.
• Deployment and testing of the architecture in a practical industrial setting.
• Focus on improving the maintenance and operation of milling machines.

Main Results:

• The FIWARE-based implementation successfully meets the requirements of the IDS Reference Architecture.
• The developed solution is suitable for Industry 4.0 environments.
• The use case demonstrated improvements in milling machine maintenance and operation.

Conclusions:

• The FIWARE-based IDS implementation is a viable solution for Industry 4.0.
• Open-source software, specifically FIWARE, can effectively support IDS Reference Architecture requirements.
• The approach facilitates the deployment of robust Industry IoT infrastructures.