Semantically enriched spatial modelling of industrial indoor environments enabling location-based services
This addresses the need for efficient location-based services in industrial settings like intralogistics and production, though it appears incremental as it builds on reviewed approaches from other domains.
The paper tackles the problem of developing location-based services for industrial indoor environments by proposing RAIL, a software system that creates dynamic spatial models integrating sensor data and contextual information through a unified interface. The result is a novel modelling approach and architecture specifically designed for intralogistics and production domains.
This paper presents a concept for a software system called RAIL representing industrial indoor environments in a dynamic spatial model, aimed at easing development and provision of location-based services. RAIL integrates data from different sensor modalities and additional contextual information through a unified interface. Approaches to environmental modelling from other domains are reviewed and analyzed for their suitability regarding the requirements for our target domains; intralogistics and production. Subsequently a novel way of modelling data representing indoor space, and an architecture for the software system are proposed.