One significant challenge in industrial 3D digitalization is spatially contextualizing information relevant to industrial processes such as manufacturing processes so that it can be analyzed and evaluated in a true spatial context. In industrial manufacturing practice, for example, the operational attributes of production machinery and product parameters must essentially be assessed in the spatial context and in real-time in order for maintenance workers or process operators to take appropriate measures. To facilitate the intended tasks, different technical components for 3D data acquisition, processing, and visualization should be integrated into a single solution. The robustness of each of the involved techniques in the system determines the conformance of such industrial 3D systems with practical requirements.
This research is investigating new approaches and methods for integrating spatial data into industrial processes based on a) the capabilities of the enabling technology (localization, digitalization, visualization), b) the domain-specific application requirements, and c) from the perspective of the end user. The study attempts to answer questions such as: