The industrial production of the future will be characterized by a high degree of automation and digitalization. The interplay of machines, manufacturing and services in cyber-physical systems (CPS) will enable decentralized, self-regulating production processes in the Smart Factory. The realization of these concepts calls for novel, easy-to-integrate system solutions for the acquisition and processing of manufacturing data.
With the goal of a one-stop-shop solution, Fraunhofer IPMS develops integrated hard- and software solutions that can be easily and quickly integrated into existing solution via plug-and-play. Acquired data is efficiently processed and analyzed to enable data-driven decisions for the manufacturing process.
A framework developed at Fraunhofer IPMS enables the easy acquisition of machine data and its analysis in a big data solution. Data analysis is based on methods from the areas of Complex Event Processing, Process Mining and Anomaly Detection. The insights gained from this analysis can be used in further modules, e.g. for precautionary maintenance planning and incident detection as well as central or decentral control of manufacturing processing (e.g. based on aspects of energy consumption).