Exciting news emerges from the National Technical University of Athens (NTUA) and Fraunhofer IWM. They unveiled their latest article, “Digital Twin Meets Knowledge Graph for Intelligent Manufacturing Processes”, published in the Sensors Journal  on the 19th of April.

The article introduces an innovative concept: combining knowledge graphs (KG) with digital twins (DTs). This approach could revolutionise manufacturing by providing a comprehensive overview of how materials are utilised in industrial processes. By integrating these technologies, businesses can make more informed decisions and optimize their operations for greater efficiency and effectiveness.

Importantly, the work presented in the article represents a significant milestone in the ongoing research efforts within the DiMAT project, specifically focusing on the development of two key toolkits, part of the DiMAT Suites: The Digital Twin for Process Control (digital version of IoT devices, providing abstracted functions and interfaces to support both real and simulated manufacturing processes), and the Knowledge Acquisition Framework (process of structuring and managing data about materials, their attributes, and connections in a Knowledge Graph format). By delivering open-source software solutions, DiMAT is helping small businesses overcome obstacles and is promoting innovation and competitiveness in manufacturing.

The publication of this article marks a crucial step forward in the quest for intelligent manufacturing processes, driven by collaboration, innovation, and a commitment to open access and inclusivity. As the industry continues to embrace digital transformation, initiatives like DiMAT stand at the forefront, shaping the future of manufacturing through cutting-edge research and technology.

For more details of this pioneering work, the article is available in the button below: