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The Fuse Platform: Integrating data from IoT and other Sensors into an Industrial Spatial Digital Twin

Authors :
G. Biegel
N. Bower
W. Castelnau
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 79-84 (2024)
Publication Year :
2024
Publisher :
Copernicus Publications, 2024.

Abstract

Digital Twins as virtual representations of industrial assets are being used to assimilate varied sources of data for improved awareness and decision making in operations and process optimisation. This paper explores the integration of IoT sensors into a spatial digital twin called Fuse that Woodside Energy has been building for the assets it operates. We describe the Fuse platform and its knowledge graph data core that is used to organise and inter-relate data for presentation within 3D visualisations, domain-specific contexts and immersive augmented reality presentations. The key contribution here is the use of a knowledge graph to link diverse data sources so as to contextualise sensor data for actionable insights. One area of significant innovation has been the development and use of new Internet of Things (IoT) devices which have been enabled by advances in sensor technology, connectivity, and cloud computing. These new tailored data sources are complimenting existing plant and resource planning data for improved asset monitoring, predictive maintenance and process automation.

Details

Language :
English
ISSN :
16821750 and 21949034
Volume :
XLVIII-4-2024
Database :
Directory of Open Access Journals
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.883f4be5404948c5b083217c55fe42c2
Document Type :
article
Full Text :
https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-79-2024