Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
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Research on Ontology-based Task Adaptability Improvement for Digital Human Model

온톨로지 기반 디지털 휴먼모델의 작업 적응성 제고 방안 연구

  • Kang, Su-Ho (Dept. of Industrial Engineering, Sungkyunkwan University) ;
  • Sohn, My-E (Dept. of Industrial Engineering, Sungkyunkwan University)
  • 강수호 (성균관대학교 대학원 산업공학과) ;
  • 손미애 (성균관대학교 대학원 산업공학과)
  • Received : 2011.12.27
  • Accepted : 2012.02.27
  • Published : 2012.04.01
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Abstract

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.

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References

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