ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 159–165, 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-159-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 159–165, 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-159-2022
 
17 May 2022
17 May 2022

LINKED BUILDING DATA FOR CONSTRUCTION SITE MONITORING: A TEST CASE

M. Bassier, J. Vermandere, and H. De Winter M. Bassier et al.
  • Dept. of Civil Engineering, TC Construction - Geomatics, KU Leuven - Faculty of Engineering Technology, Ghent, Belgium

Keywords: Scan-vs-BIM, Linked Building Data, Construction site monitoring, Building Information Modeling, Remote sensing

Abstract. The automation of construction site monitoring is long overdue. One of the key challenges to track progress, quality, quantities is to integrate the necessary observations that make these analyses possible. Research has shown that semantic web technologies can overcome the data heterogeneity issues that currently halt the automated monitoring, but this technology is largely unexplored in the construction industry. In this paper, we therefore present a tentative framework for Linked Data usage on construction sites. Concretely, we combine observations of Lidar scans, UAV and hand-held cameras with the as-designed BIM through RDF graphs to establish a holistic analysis of the site. In the experiments, a proof of concept is presented of the structural building phase of a residential project and how remote sensing data can be managed during project execution.