visualization

Industrial devices have virtual and physical components that interact with each other in a plethora of ways. We report on a system that enables operators to pose queries about physical, regulatory and functional relationships between components and visualizes responses as a holographic overlay, thereby enabling in-situ querying and rendering of information for “on-the-spot” decisions. Importantly, our approach is not only applicable to digitally integrated components but applies equally well to “simple” objects such as surfaces and workpieces, and the materials they are made of.

The world’s rising energy and raw material costs are a reason for many companies to reduce energy and resource waste in their own production. Based on this plan, the Federal Ministry of Education and Research (BMBF) initiated in 2009 the project EnHiPro. Until May, 2012 the Technische Universität Braunschweig and three other research partners developed a system to make the energy demand of machines tangible by utilizing smart metering strategies. For the analysis and visualization of the energy flows, the c4c Engineering company was brought into the team in order to engineer the EnyFlow app that makes the energy flows and states of machines transparent on an tablet PC.

Particularily in local processes the search for and dispersion of information as well as the recognition of experts, resources and their availability all takes place by direct social interaction. In distributed time-constrained processes or decentralisable, formal processes employees have to question this information , especially if problems arise. The adequate visualisation and navigation of this information is a reason for the fact that persons responsible for processes can quickly orientate themselves to be able to react adequately in an altered situation. This contribution develops a model for the simulation and visualisation of the collaboration in such situations by means of semantic nets and Web3D.

The Cluster of Excellence “Integrative Production Technology for High-Wage Countries”, funded by the German Research Foundation, at the RWTH Aachen University develops solutions to improve the competitiveness of production in Germany. In the future, production systems should be capable of independently adapting to new conditions as a result of the development of cognitive controls, e.g., for robot-aided assembly processes. The tasks of the human operator will thereby focus primarily on system monitoring and direct cooperation with robots. Based on the new requirements regarding this cognitive system, one focus is the development of an ergonomic human-machine-interface.