Development of a multi-sensor concept for progress detection in the site assembly of electrolysis units.

Green Hydrogen is a promising energy carrier for the future industry. To meet the accompanying increase in demand for electrolyzers, an equivalent increase in production capacity is essential. This can be achieved through efficient assembly orchestrations based on continuous assembly progress detection. This paper contributes to the necessary data acquisition during the assembly process. Various methods from the state of the art are presented, evaluated and compared against each other. Finally, a modular concept for data acquisition on the construction site of electrolysis plants based on data fusion is proposed. [ABSTRACT FROM AUTHOR]