Abstract
Smart data acquisition is an important tool for companies in international competition as it allows new ways of creating machine understandable knowledge as well as revealing unexploited optimization potential. Furthermore, the current movements in production to autonomous and decentralized intelligence are based on this acquisition of data. This paper deals with the challenge of developing a new approach for data acquisition in industrial environments, recognizing the need for a user-friendly designed system supporting the operator in his work rather than distracting him. Moreover, this gathered data is the basis for data-driven process optimization and creation of new knowledge.
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