Acknowledgement
본 연구는 한국과학재단이 주관하는 대학 중점연구소지원사업(No. NRF-2018R1A6A1A07025819)과 신진연구지원사업(No. NRF-2020R1C1C1005406)의 지원을 받아 수행되었습니다.
In order to achieve the goal of cost management, which is one of the three major management goals of building production, this paper introduces an approximate cost estimating automation technology in the design stage as the importance of predicting construction costs increases. BIM is used for accurate estimating, and the quantity of structural members and finishing materials is calculated by creating a 3D model of the actual building. However, only 2D basic design drawings are provided when making an estimating. Therefore, for accurate quantity calculation, digitization of 2D drawings is required. Therefore, this research calculates the quantity of concrete structural members by calculating the area for the recognition area through 2D drawing recognition technology incorporating computer vision. It is judged that the development technology of this research can be used as an important decision-making tool when predicting the construction cost in the design stage. In addition, it is expected that 3D modeling automation and 3D structural analysis will be possible through the digitization of 2D drawings.
본 연구는 한국과학재단이 주관하는 대학 중점연구소지원사업(No. NRF-2018R1A6A1A07025819)과 신진연구지원사업(No. NRF-2020R1C1C1005406)의 지원을 받아 수행되었습니다.