کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
246289 502359 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic reconstruction of 3D building models from scanned 2D floor plans
ترجمه فارسی عنوان
بازسازی خودکار مدل های ساختمان سه بعدی از طرح های طبقه دو بعدی اسکن شده
کلمات کلیدی
مدل اطلاعات ساختمان (BIM)؛ IFC؛ پردازش تصویر؛ برنامه های 2D؛ بازسازی 3D؛ چک کردن مدل
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی


• Need for cost-effective approaches to assist 3D modeling from existing buildings
• A solution is proposed to reconstruct automatically 3D model from 2D scanned plans.
• Reconstruction is based on the identification of geometry, topology and semantics.
• Building elements such as walls, openings and spaces are recognized.
• Solutions are proposed to enrich the generated 3D models.

The overall energy efficiency of existing buildings has to be significantly improved to comply with emerging regulations and to contribute to overcoming current environmental challenges. Many policies aim at accelerating the renovation rate. The effectiveness of renovation actions could be significantly improved through the systematic use of Information and Communication Technologies (ICT) tools and Building Information Modeling (BIM). But these solutions rely on full-fledged digital models, which, for most buildings, are not available. The present article introduces a research work aiming at the development of methods for the generation of 3D building models from 2D plans. The developed prototype is able to extract information from 2D plans and to generate IFC (Industry Foundation Classes)-compliant 3D models that include the main components of the building: walls, openings, and spaces. The article also presents the results of a quantitative assessment of the platform capabilities and performances, relying on a database of 90 real architectural floor plans. The results are very promising and show that such solutions could be key components of future digital toolkits for renovation design.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 63, March 2016, Pages 48–56
نویسندگان
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