GIM International:  Spatiotemporal referencing can be used to enhance contextualisation of Industrial Internet of Things (IIoT) data and information flows within ‘smart factories, according to Studio iSPACE in Austria. Its five-step approach models an adaptive workflow to organise large-scale 3D data of a production facility. The goal is to support the extended personnel-machine interaction for indoor positioning, production asset monitoring and location-based management.

In the event of problems with a production line, every minute counts for the factorys managers. Service staff must be able to respond as efficiently as possible. All necessary information should be directly available and location-based. Studio iSPACE, part of Research Studios Austria Forschungsgesellschaft mbH, recently transformed its experiences with spatial data infrastructures (SDIs) into an approach called OLS3D (Organising Large-Scale 3D Data). It tackles the use of building information modelling (BIM) for production environments and smart factories in the context of Industry 4.0. With the help of tablets or smart glasses and a central software system in the background, the knowledge is brought exactly on time to where its needed – to the service technician on site. Studies of these tasks for production environments are new; as far as iSPACE knows, the prototype it developed is still unique. Some parts overlap with facility management, where the integration of CAD, BIM and GIS systems is an important topic. A major issue proved to be the lack of indoor inventory definitions in geoinformation models. In factories, the indoor inventory is the dynamic layer where tasks are performed, data is created and which has a high optimisation potential.  Full Article: