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유전자 알고리즘을 활용한 BIM 도면 주석 간섭 조정 기술 개발

Development of BIM Drawing Annotation Interference Adjustment Technology Using Genetic Algorithm

  • 전진규 (성균관대학교 글로벌스마트시티융합전공) ;
  • 박재호 (성균관대학교 글로벌스마트시티융합전공) ;
  • 김이제 (성균관대학교 미래도시융합공학과) ;
  • 진상윤 (성균관대학교 건설환경공학부)
  • 투고 : 2023.11.20
  • 심사 : 2023.12.11
  • 발행 : 2023.12.31

초록

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.

키워드

과제정보

본 연구는 국토교통부의 스마트시티 혁신인재육성사업과 국토교통부/국토교통과학기술진흥원의 2023년도 지원으로 수행 되었음(과제번호: RS-2021-KA163269).

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