期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2022
卷号：V-2-2022
页码：159-165
DOI：10.5194/isprs-annals-V-2-2022-159-2022
语种：English
出版社：Copernicus Publications
摘要：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.
关键词：Scan-vs-BIM; Linked Building Data; Construction site monitoring; Building Information Modeling; Remote sensing
