Big and Smart Data
The growing volume of data worldwide must not only be transmitted and stored, but also prooperly processed. DLR uses its expertise in areas such as Big Data basic research, the development of algorithms and software methodology.
Discussions on the topic of digital transformation are often conducted in an extremely technical or abstract manner without identifying specific societal benefits. Condition monitoring is a topic that can contribute to the visibility of the benefits of digital transformation and has many practical applications. More data and better algorithms make for more precise condition analyses, which in turn bring direct societal benefits in many areas.
The challenge of the topic lies in its heterogeneity. 'Safety-relevant structures' are the primary structures that are worthwhile monitoring and range from classical mechanical engineering plants to infrastructural facilities such as rail systems or buildings, and even aircraft and spacecraft. While all applications are directly or indirectly relevant to society, they require structurally different data and evaluation algorithms.
In this cross-sectoral project, it is not the specific applications but the scientific methodologies that bring together the various German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) research disciplines. For example, it will be possible to monitor rail infrastructure using algorithms initially designed for monitoring buildings. In this way, the project actively contributes to exploiting the potential for synergy within DLR.