期刊
AUTOMATION IN CONSTRUCTION
卷 126, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.autcon.2021.103686
关键词
Building Information Modelling (BIM); As-built information; Scan-to-BIM; Manual Modelling; Semi-automated Modelling; Primary and secondary building objects; Accuracy; Precision
资金
- Natural Sciences and Engineering Research Council (NSERC)
- Mitacs
This study focuses on the modelling phase of Scan-to-BIM, assessing the impact of automation levels and modeller training on the accuracy of generated BIMs. Quantitative models are developed for modelling scenarios, and the impacts of accuracy levels are discussed.
Accurate as-built information is required to operate, maintain, and adapt existing buildings. Scan-to-BIM has become a feasible approach for collecting and modelling 3D as-built information and has three phases: (1) scanning, (2) registration, and (3) modelling. This paper focuses on the modelling phase, which can currently be conducted either manually or semi-automatically. As-built conditions of a building are surveyed, and the geometry is modeled in a series of modelling scenarios. For each trial, geometric dimensions of the BIMs are compared to ground truth dimensions. This paper assesses the impact of levels of automation and modeller training on the accuracy and precision of generated BIMs. Quantitative models are developed for modelling scenarios using empirical datasets. Lastly, the impacts of degrees of accuracy are discussed. This study provides insight into the dimensional certainty of BIMs generated by Scan-to-BIM and helps decision-makers assess the risk of decisions made based on this information.
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