INTEGRATION OF IOT SENSORS TO 3D INDOOR MODELS WITH INDOORGML
| Autor: | A. Sarmiento, A. A. Diakité |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-4-W1-2020, Pp 135-142 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1682-1750 2194-9034 |
| DOI: | 10.5194/isprs-archives-XLIV-4-W1-2020-135-2020 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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