성과공개

성과공개 상세 정보

상세 정보

논문

Ontology based Detection and Classification of Clash Severity in BIM Models

연도

3차

분류

구성기술2

연구기관

서울과학기술대 산학협력단
Seoul National University of Science and Technology Center for Industry Collaboration

구분2

학술발표

논문명

Ontology based Detection and Classification of Clash Severity in BIM Models
Ontology based Detection and Classification of Clash Severity in BIM Models

학술지명

ITC2023 (International Technical Conference)

ISSN

학술지 볼륨번호

게재일

2023-08-24

논문페이지

주저자명

Bonsang Koo

교신저자명

공동저자명

Wonbok Lee, Sihyun Kim, Minhyet Mint, Youngsu Yu

논문 초록

In the current BIM model clash detection process between interdisciplinary, commercial BIM solution software is often utilized for clash detection. However, substantial effort is required for analyzing detection results and classifying the severity of clash. Therefore, this study aims to decrease the amount of work necessary for clash detection. To achieve this, we constructed an integrated ontology between interdisciplinary BIM models to denote various types of clashes and associated information. We also developed a process to classify clash severity using artificial intelligence-based and rule-based inference approaches. At this point, we distinguished between hard and soft clashes, establishing classification criteria for each, and expressed various clash information by constructing an ontology based on the RDF graph. Through this, it is expected to improve the productivity of the clash detection work by facilitating the quick extraction of the requirements for clash correction and preventing omission of clash detection.

첨부파일

2-B-3-양-8_국외학술대회_ITC 2023, Ontology based Detection and Classification of Clash Severity in BIM Models_서울과기대.pdf