The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIV-4/W1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W1-2020, 135–142, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-135-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W1-2020, 135–142, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-135-2020

  03 Sep 2020

03 Sep 2020

INTEGRATION OF IOT SENSORS TO 3D INDOOR MODELS WITH INDOORGML

A. Sarmiento1 and A. A. Diakité2 A. Sarmiento and A. A. Diakité
  • 1Faculty of Engineering, School of Civil and Environmental Engineering, University of New South Wales, Australia
  • 2Faculty of Built Environment, University of New South Wales, Australia

Keywords: Internet of Things, Sensors, Indoor Spatial Models, IndoorGML, GIS, Standards

Abstract. Sensors are the vehicle through which Internet of Things (IoT) applications collect timely data of which are communicated to objects, or “Things”, to make them aware of their environment. With multiple sensors within an IoT system sending continuous streams of data, the potential scale of data is large, so efficient data management and useful representation is a key concern. As the information required from sensors benefit from a spatial context, 3D indoor models, such as IndoorGML, have been identified to support this condition. As it stands, a standardised structure to the amalgamation of sensors with IndoorGML has not been defined. The goal of this paper is to explore this opportunity by firstly, reviewing previous approaches to the integration of the two systems. Research into the interpretations of sensor information through existing standards is conducted before narrowing these attributes down into a minimal profile according to identified functional requirements of sensor applications. Finally, this knowledge is organised into a conceptual data model and presented as a thematic module in IndoorGML.