Building Information Modeling (BIM) and Safety: Automatic Safety Checking of Construction Models and Schedules
By Sijie Zhang, Jochen Teizer, Jin-Kook Lee, C. Eastman, M. Venugopal. 2013
860 citations recorded by the source corpus.
Subfields: Building and Construction, Civil and Structural Engineering, Radiological and Ultrasound Technology
View Paper: https://www.semanticscholar.org/paper/f3fc3a3e82d0f2832b74b8ec91b74e2ec4032b82
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In Building and Construction
In Civil and Structural Engineering
In Radiological and Ultrasound Technology
Citations in the corpus
- Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA) (2015, methodology): “[20] introduced the integration of construction and safety management based on BIMs and rule-based algorithms based on OSHA fall protection regulations.”
- Semantic web technologies in AEC industry: A literature overview (2017, background): “[143,144,155,190-192] • Description logic basis • Automatic availability of proofs (trust) • How to link/map domain ontologies to regulation”
- Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications (2013, background): “A preliminary safety rule checker system was developed to automatically visualize and identify fall hazards in existing Building Information Models (BIM) [5].”
- A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS) (2017, background): “Zhang, et al. [134] developed automatic safety detection algorithms.”