Model factory for chemical-technical processes based on cyber-physical systems (CPS)

The focus of the funded project is the communication of sensory data by means of augmented reality (AR) and its use in the production process. The approach focuses on generalisable processes that occur in many companies without penetrating specific production processes. It is intended to provide small and medium-sized enterprises with low-threshold access to the new technology field of AR and thus support their international competitiveness. Even though AR technology has been researched and tested in various areas since the 1990s, it is only now that it is being used more extensively due to current technological developments. The technology market has developed strongly, especially in the areas of wireless sensors, communication technologies and sensor networks, and this trend can also be observed in the Internet of Things and Industry 4.0. However, a holistic approach that combines research areas such as dynamic object recognition, localisation, sensor technology and standards, user interface as well as data protection and security is still missing. This is what SensAR is supposed to do. The team of eight professors from the fields of surveying, mathematics and computer science always focuses on the user and his or her questions. For example, a specialist needs support at a machine, layout planners and logisticians transfer the ACTUAL status of the production environment into the planning or a facility manager is alerted to a malfunction by a system. In exchange with SMEs, these and other scenarios are considered in order to help shape the transfer into operational use.