- 온톨로지 기반 디지털 휴먼모델의 작업 적응성 제고 방안 연구
- ㆍ 저자명
- 강수호,손미애,Kang. Su-Ho,Sohn. My-E
- ㆍ 간행물명
- 한국CAD/CAM학회논문집
- ㆍ 권/호정보
- 2012년|17권 2호|pp.79-90 (12 pages)
- ㆍ 발행정보
- 한국CAD/CAM학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.