Sustainable Data Management for Manufacturing

The impact of Industry 4.0 will result in more automatic connected assembly lines, which are designed for manufacturing individual and customised products on demand. To enable this capability, the need for information-driven services were introduced, with the ambition that all physical, virtual and human entities shall be able to communicate among each other. This approach will provide much more elaborate production systems with vast amounts of information to transfer. The arising additional data integration challenges have to be solved.This paper motivates the need for the interoperability on the data level, to enable the unified input and output of artificial intelligence (AI) algorithms. Therefore, the approach containing an information model and corresponding translation processes are presented. In doing so, a semantic mediator will be used as a middle layer for gathering all data and provide unified data to AI methods - here, an expert system (ES).Finally, an extracted use case is shown where an ES will optimise the energy efficiency of a running production process by providing the relevant data. By intervening in the actual process, it shows the importance of converting the required input data into one unified format for an AI system.