Utilizing the knowledge graph in a multi-disciplinary design process of complex systems

What is it about?

Cyber-physical production systems (CPPS) are interconnected systems producing customized products. Such a system appeals for flexibility and closer cross-disciplinary collaboration, which might introduce inconsistencies among models and lead to system failures. Detecting inconsistencies needs expert knowledge and is usually performed in an ad-hoc way. Knowledge base, a technology that stores knowledge formally for automatic problem-solving, can efficiently assist engineers in detecting inconsistencies across engineering models and between the models and their physical realizations. The approach is evaluated with a bench-scale CPPS.

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Photo by NASA on Unsplash

Photo by NASA on Unsplash

Why is it important?

Cyber-physical production systems (CPPS) in the paradigm of Industry 4.0 are equipped with high flexibility, high customisation, high interconnectedness, and short product life cycles [1], which also introduces various challenges. First, customisation leads to the high variability of products with small batch sizes, which requires a quick (re)design of the manufacturing system and configuration of manufacturing resources [2]. With increasing complexity, CPPS expand beyond the boundaries of disciplines and call for cuttingedge cross-disciplinary interoperability, and synthesis. In CPPS, it is not only the physical system that is networked, but also the data, engineering tools, and teams.

Perspectives