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IFC-Enabled Site-to-BIM Automation: An Interoperable Approach Toward the Integration of Unmanned Aerial Vehicle (UAV)-Captured Reality into BIM

TitleIFC-Enabled Site-to-BIM Automation: An Interoperable Approach Toward the Integration of Unmanned Aerial Vehicle (UAV)-Captured Reality into BIM
Publication TypeTechnical Report
Year of Publication2017
AuthorsHamledari, H
IssueTR233
PublisherBuildingSMART International Award 2017
Keywordsartificial intelligence, As-Built Modeling, Automation, BIM, Building Information Modeling, Computer Vision, Construction Progress Monitoring, Facility Management, IFC, Industry Foundation Classes, Interoperability, OpenBIM, Robotics, UAV, Unmanned Aerial Vehicles
Abstract
This technical report elaborates on the design of an industry foundation classes (IFC)-enabled smart, robotic, and interoperable construction and facility monitoring solution. It summarizes the research project conducted by Hesam Hamledari, PhD student at Stanford University. This document focuses primarily on motivations, achievements, and challenges with regard to this student project’s novel IFC use for achieving site-to-BIM automation. A series of techniques have been proposed and implemented to 1) automatically develop multi-dimensional as-built and as-is IFCbased BIMs using data collected at construction sites and facilities by robotic technologies such as drones; and 2) enable the automated in-BIM documentation of inspection data using IFC schema. The proposed solution has been tested in real-life scenarios, and the resulting updated BIMs have been verified for conformance to IFC schema using IFC validating tools. This work’s focus on IFC and its practical schema use for enabling site-to-model automation promotes the application of bSI standards among industry practitioners. Further, it  romotes OpenBIM and interoperability, a core challenge in the construction information modeling domain.

 

URLhttps://purl.stanford.edu/gf324nd7978
Citation Key1564