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A Fundamental Study on the Standardization of Reference Model and Data Model in Digital Twin for Land

디지털 트윈 국토 참조 모델 및 데이터 모델 표준 구축을 위한 기초 연구

  • Kim, Byeongsun (Department of Smart City Engineering, Anyang University) ;
  • Yoo, Jaejun (Electronics and Telecommunications Research Institute, IoT Research Division) ;
  • Hong, Sangki (Department of Urban Information Engineering, Anyang University)
  • 김병선 (안양대학교 스마트 시티 공학과) ;
  • 유재준 (한국전자통신연구원 IoT 연구본부) ;
  • 홍상기 (안양대학교 도시정보공학과)
  • Received : 2021.03.02
  • Accepted : 2021.06.28
  • Published : 2021.06.30

Abstract

Digital Twin for Land(DTL) is one of the national work projects in the Korean New Deal but there aren't still any standards and technical guides which would need to construct the DTL. This study presents the policies to develop reference model and data model based on geo-spatial information standards to ensure interoperability for the DTL. In this paper, we first extract the implications through reviewing definitions of Digital Twin used in various literatures and international standardization trends on Digital Twin. In addition, this study attempts to conceptualize the DTL through various ways such as defining the DTL and characterizing DTL domains. Finally, we propose three policies on the standardization of the DTS: (1) DTS reference model by using RM-ODP, (2) three-steps hierarchical data models, and (3) model registry to manage the data models efficiently. The proposed policies of the study would contribute to establish a way for DTS's standards development over the coming years.

디지털 트윈 국토는 한국판 뉴딜 정책의 일환으로 추진 중인 국가 프로젝트이나 이에 대한 표준이나 기술 기준 등은 마련되어 있지 않은 상태이다. 이러한 배경에서 본 연구는 디지털 트윈 국토의 상호 운용성 확보를 위한 공간정보 표준 기반의 참조 모델과 데이터 모델 구축 방안을 제시하는데 목적이 있다. 이를 위해 디지털 트윈에 관한 국제 표준화 동향을 검토하고 주요 시사점을 도출하였다. 그리고 디지털 트윈 국토에 대한 정의, 도메인별 특징을 도출하는 등 디지털 트윈 국토에 대한 개념을 정립하였다. 이러한 개념을 바탕으로 RM-ODP를 이용한 디지털 트윈 국토 참조 모델 구축 방안과 3단계 디지털 트윈 국토 데이터 모델 체계를 제안하였다. 또한 데이터 모델의 효율적 관리를 위한 모델 레지스트리 구축 방안을 제안하였다. 본 연구에서 제안한 정책 방안은 향후 디지털 트윈 국토 표준 체계 구축의 방향성을 확립하는데 기여할 것으로 판단된다.

Keywords

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