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건축물 골조공사용 먹매김 자동화 시스템 개발방향 연구

Development Directions for Automated Layout System of Building Structures

  • Lim, Hyunsu (Department of Architecture, Soonchunhyang University) ;
  • Cho, Kyuman (Department of Architectural Engineering, Chosun University) ;
  • Kim, Taehoon (Department of Architectural Engineering, Chosun University)
  • 투고 : 2021.08.10
  • 심사 : 2021.08.24
  • 발행 : 2021.10.20

초록

건축공사에서 먹매김 공정은 건물의 구성요소를 계획된 위치에 정확히 형성하기 위한 기준이 되므로 높은 정밀도가 요구된다. 최근의 건축물 규모 증가 및 숙련공 부족 추세에서 먹매김 공사는 로봇 기반의 자동화 기술 도입을 통한 생산성 및 품질 향상 요구가 크게 나타나고 있으며, 특히 가장 선행되는 골조공사 먹매김 작업의 중요도 및 자동화 필요성은 더욱 크다고 할 수 있다. 이러한 배경에서 본 연구는 건축물 골조공사용 먹매김에 적합한 시공 자동화 시스템 개발 방향을 제시하고자 한다. 기존 유사 기술 고찰을 토대로 하여 5가지 구성기술과 17개의 세부 기술요소를 도출하였으며, 전문가 설문을 통한 중요도 평가를 수행하였다. 설문 결과, 열악한 주행 및 작업 환경에 대응하기 위한 주행부 및 마킹부 기술이 가장 중요한 구성기술로 파악되었으며, 이러한 환경에서 정밀도를 확보하기 위한 제어기술과 전반적인 프로세스의 자동화기술의 중요성이 높게 나타났다. 본 연구 결과는 향후 보다 실용적이고 효율적인 자동화 시스템 개발에 기여할 것이다.

In building construction, the layout operation is performed to accurately construct the building components in their planned locations, and requires a high level of accuracy and precision. With increases in building size and a lack of skilled laborers, this work has seen an increasing demand for productivity and quality improvements through robot-based construction automation. In particular, the layout work for building structures has a higher need for automation. On this background, this study suggests a direction for the development of an automated layout system of building structures. 5 technical factors and 17 sub-factors were derived based on reviews of existing similar systems, and an evaluation of their importance was carried out through an expert survey. As a result, it was found that the most important factors were driving and marking systems for coping with poor driving and working conditions. In terms of sub-factors, control techniques to secure precision and technologies to automate the overall layout process showed high importance. These findings will contribute to the development of more practical and efficient automation systems.

키워드

과제정보

This work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21CTAP-C163790-01) and by research fund from Soonchunhyang University.

참고문헌

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