Development of BIM Drawing Annotation Interference Adjustment Technology Using Genetic Algorithm

Jin-Gyu Jeon; Jae-Ho Park; Yi-Je Kim; Sang-Yoon Chin

doi:10.13161/kibim.2023.13.4.085

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2023 Vol.13, Issue 4 Preview Page Next Page

Research Article

Development of BIM Drawing Annotation Interference Adjustment Technology Using Genetic Algorithm 유전자 알고리즘을 활용한 BIM 도면 주석 간섭 조정 기술 개발

31 December 2023. pp. 85-95

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Abstract

In the process of creating drawings based on Building Information Modeling (BIM), automatically generated annotations can cause interference issues depending on the drawing type. This study aims to develop an algorithm for repositioning annotations using genetic algorithms to minimize such interferences. To achieve this, the Application Programming Interface (API) of BIM software was used to analyze data extractable from BIM drawing files. The process involved defining drawing data related to annotation repositioning, preprocessing this data, and deriving optimal placement coordinates for the annotations. Furthermore, applying the developed algorithm to the preliminary design drawings of small and medium-sized neighborhood facilities resulted in approximately a 95.37% decrease in annotation interference, indicating that the proposed algorithm can significantly enhance productivity in BIM-based drawing tasks.

Keywords

BIM

BIM Drawing Annotation Rearrangement

Annotation Interference

Interference Detection

Automate Annotation Object Rearrangement

Artificial Intelligence

Genetic Algorithm

키워드

BIM

BIM 도면 주석 재배치

주석 간섭

간섭 인식

주석객체 재배치 자동화

인공지능

유전자 알고리즘

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Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 13
No :4
Pages :85-95
Received Date : 2023-11-20; 2023-11-29
Accepted Date : 2023-12-11
DOI :https://doi.org/10.13161/kibim.2023.13.4.085

Journal of KIBIM ISSN:2288-1697(Print) 2288-1697(Online) 한국BIM학회논문집

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