Semantically enriched spatial modelling of industrial indoor environments enabling location-based services

TL;DR

This paper introduces RAIL, a dynamic spatial modeling system for industrial indoor environments that integrates multi-sensor data to facilitate location-based services in intralogistics and production.

Contribution

It proposes a novel indoor space modeling approach and a software architecture tailored for industrial environments, enhancing location-based service development.

Findings

Developed a unified interface for sensor data integration

Reviewed existing environmental modeling approaches for industrial use

Proposed a new spatial data modeling method

Abstract

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.