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CityGML ADE를 이용한 3차원 지하시설물 데이터 모델 개발에 관한 연구

A Study on Development of 3D Data Model for Underground Facilities Using CityGML ADE

  • Jeong, Da Woon (Dept. of Smart Urban Space Institute, Anyang University) ;
  • Shin, Dong Bin (Dept. of Urban Information Engineering, Anyang University)
  • 투고 : 2021.07.27
  • 심사 : 2021.08.24
  • 발행 : 2021.08.31

초록

지하시설물은 여러 관리 주체들에 의해 필요에 따라 건설되었으며 이는 곧 무질서하고 난립된 형태의 지하 공간 개발을 초래하였다. 이러한 현상은 지하 공간에서의 안전사고를 발생시키는 주요 원인으로 볼 수 있으며 이를 해결하기 위해서는 지하시설물의 체계적인 구축 및 관리에 관한 연구가 이루어져야 한다. 이와 같은 맥락에서 본 연구는 지하시설물 정보의 체계적인 구축·관리 방안과 정보의 정확도와 품질을 제고하기 위하여 공간정보 관련 국제 표준을 준용한 3차원 지하시설물의 데이터 모델을 정립하고, 이를 토대로 논리적 모델을 설계 및 시각화 구현하는 것을 목적으로 한다. 본 연구의 결과를 토대로 지상-지하를 포괄하는 현실 세계와의 일치성이 향상된 지하시설물 정보를 통해 기존 지하정보의 정확도 및 활용도를 제고할 것으로 사료된다. 또한 기존의 2차원 형태의 지하시설물 네트워크 모델과 관로 중심의 3차원 시각화 모델과는 달리 지상과 지하 공간에서의 다양한 객체들을 포함하고 데이터 간 상호 연계 및 운용이 가능한 통합적인 데이터 모델을 제시했다는 점에서 학술적 의의를 가질 것으로 판단된다.

Underground facilities were constructed as needed by various management organizations, the result of which was the disordered and scattered underground spaces. This phenomenon can be viewed as the main cause of safety accidents in the underground space. To solve this problem, research on systematic construction and management of underground facilities should be conducted. Therefore, to improve the accuracy and the quality of information and to facilitate the systematic construction and management of underground facility information, this study aims to establish a 3D data model that conforms to international spatial information standards for pipeline underground facilities and to implement the data model to enable visualization. The result of this study can be used to improve the consistency of information not only between underground facilities, but also the correspondence between above ground and underground facilities. As such, this study has academic significance in that it presents an integrated data model that includes various objects in the ground and underground spaces and enables interoperability between diverse domain data.

키워드

과제정보

논문은 2016년 정부(국토교통부)의 재원으로 공간정보 융복합 핵심인재 양성사업의 지원을 받아 수행된 연구임(2016-06-02)

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