BOOST 4.0: FILL Model-Based Machine Tool Engineering & Big Data-driven Cybernetics Large Scale Trial

The growth speed of the data volume, the diversity of the data and the various data sources pose many challenges, such as a collection of sensor data and the mapping of model data underlying the machine, their integration and interpretation into a structured database system. The V-model describes the development of mechatronic systems based on a systematic analysis of the requirements and a distribution of the requirements and loads among the individual disciplines. The detailed development then takes place in parallel and independently of each other in the individual disciplines. The results are then integrated into subsystems and systems. The Boost 4.0 large scale trial impact has been assessed in the engineering process on Fill products, accurate robotic NDT systems ACCUBOT and machine tools SYNCROMILL. In the EU project BOOST 4.0 Fill contributes to the establishment of international Big Data standards together with its partners TTTech, Visual Components and RISC. The developed Smart Digital Engineering process and the IoT product Fill cybernetics manage to close the information gap between customer and Fill engineering.