کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10281726 501789 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Toward robust and quantifiable automated IFC quality validation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Toward robust and quantifiable automated IFC quality validation
چکیده انگلیسی
The use of IFC as a standard format in exchange processes has been increasing as the industry begins to address the need of interoperability. A current problem with the use of IFC is in the quality of product models. Much effort has addressed this issue in the form of certifications to ensure a minimum quality of exchange requirements for an IFC file. However, even with the recent increasing awareness and effort to improve the quality of IFC files, the process is still too tedious, time consuming and requires manual efforts by experts. Even if those resources are available, there is currently no clear and quantifiable definitions of what exactly is a good quality IFC file. Without such measures, the adoption of IFC as standard exchange format will be hindered and the industry will be left with only restricted alternatives that are mostly vendor dependent. This paper sets out to address this issue in two aspects: first by defining what a good quality IFC model is, and second by proposing rules that can be automated to measure with confidence the completeness and correctness of the IFC model. These two aspects will serve as a starting point toward a more comprehensive and quantifiable measures of the quality of an IFC file. This proposed goal is represented by using well defined and well documented rules collected from various projects the authors had experienced over the years. The rules include all known aspects of IFC, including geometry, which currently requires mostly manual validation. The paper also proposes a method to address import validation that is under-developed compared to the export validation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advanced Engineering Informatics - Volume 29, Issue 3, August 2015, Pages 739-756
نویسندگان
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