期刊
AUTOMATION IN CONSTRUCTION
卷 112, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.autcon.2020.103088
关键词
Damage detection; Building Information Modeling; 3D point clouds; Multiview classification; Bridge Management Systems
资金
- Ministry of Education, Science and Technological Development of the Republic of Serbia [TR-36038]
- Research School on Service-Oriented Systems Engineering of the Hasso Plattner Institute, Faculty of Digital Engineering, University of Potsdam, Germany
Building Information Modeling (BIM) representations of bridges enriched by inspection data will add tremendous value to future Bridge Management Systems (BMSs). This paper presents an approach for point cloud-based detection of spalling damage, as well as integrating damage components into a BIM via semantic enrichment of an as-built Industry Foundation Classes (IFC) model. An approach for generating the as-built BIM, geometric reconstruction of detected damage point clusters and semantic-enrichment of the corresponding IFC model is presented. Multiview-classification is used and evaluated for the detection of spalling damage features. The semantic enrichment of as-built IFC models is based on injecting classified and reconstructed damage clusters back into the as-built IFC, thus generating an accurate as-is IFC model compliant to the BMS inspection requirements.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据