• Title/Summary/Keyword: 건설도면

Search Result 237, Processing Time 0.026 seconds

A study of an automatic goo-referencing method of a building's site plan CAD data using a parcel contour from attached cadastral maps (연속 지적도의 필지 경계선을 이용한 배치도 CAD자료의 자동 좌표부여 방법에 대한 연구)

  • Huh, Yong;Yu, Ki-Yun
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
    • /
    • 2008.10a
    • /
    • pp.266-267
    • /
    • 2008
  • 건설도면 CAD자료와 GIS자료를 연계하기 위해서는 임의의 좌표체계와 축척으로 표현된 건설도면 CAD 자료를 GIS 자료의 지도좌표로 변환하기 위한 과정 이 수행되어 야 한다. 본 연구에서는 준공과정에서 제출되는 건축물 CAD배치도상의 인접대지경계선 폴리곤과의 연속지적도상의 개별 필지 경계선의 형상 정합과정을 수행함으로써 좌표변환에 필요한 변수를 도출해 보았다. 이렇게 도출된 변환함수를 배치도면상의 건물경계선과 같은 다른 객체에 적용함으로써 개별 CAD자료를 GIS 자료에 연계할 수 있는 실좌표 부여 방법을 적용하고 평가해 보았다.

  • PDF

A Study on the ConstructionCALS/EC Future Applying Methodologies of Its Key Technologies (국내 건설CALS/EC 관련 표준기술의 적용방안에 관한 연구)

  • 이주남;김인한;노대원;김운태
    • The Journal of Society for e-Business Studies
    • /
    • v.9 no.2
    • /
    • pp.87-108
    • /
    • 2004
  • The current construction industry mainly uses paper-based construction documents which are produced during the whole life cycle. The paper-based information hinders to reuse the construction information, due to the inefficiency to exchange and share the construction information between designers and constructors. To overcome these problems, construction CALS/EC (Continuous Acquisition and Life Cycle Support/Electronic Commerce) has been proposed by the government. It supports efficient reusing, sharing and exchanging the construction information using digitalized drawings and documentations. This study intends to show the future applying methodologies of using the standardized key technologies in the construction CALS/EC based on the case study of Korea and several countries.

  • PDF

건축구조 설계에서의 CAD이용

  • 조철호
    • Computational Structural Engineering
    • /
    • v.2 no.2
    • /
    • pp.6-13
    • /
    • 1989
  • 현재 구조해석의 컴퓨터 응용과 건축설계도면작성의 컴퓨터 응용이 개별적으로 개발되는 경우가 많은데 한꺼번에 모든 시스템을 일련으로 연결하는 것은 쉬운 일이 아니므로, 우선 구조해석의 자료를 그대로 이용할 수 있는 골조도면작성의 컴퓨터 응용프로그램을 개발함으로써 앞으로 건축설계도면작성 프로그램과 연결도 고려할 수 있다고 본다. 본 CAD시스템은 현재에는 국내에서 통용되고 있는 건설부 규준에 의거하여 개발되었고, ACI의 극한강도 설계법으로 sub-program을 수정하여 이용할 수 있겠다.

  • PDF

특집: 건축설계의 패러다임 바꾸는 BIM

  • 대한설비건설협회
    • 월간 기계설비
    • /
    • s.245
    • /
    • pp.39-51
    • /
    • 2010
  • 현재 많은 분야에서 사용하고 있는 2D 3D CAD(Computer-Aided Design)는 기하학적 요소들의 그래픽 구현에 주로 활용되어 왔다. CAD를 통해 이전의 수작업 도면작성에서 디지털 도면작성으로 설계 방법의 변화가 촉진됨으로써 설계오류를 크게 줄이는 한편 설계변경에도 많은 편리함을 가져 왔다. 지금 건축 설계의 패러다임은 단순한 기하학적 드로잉에서 '정보'를 만나, 건축의 전 과정뿐 아니라 사후 유지관리에 대한 각종 데이터까지 처리할 수 있는 BIM으로 발전되고 있다. 본지는 컴퓨터 지원 설계의 변천 과정과 건설시장의 새로운 프로세스로 부각되고 있는 BIM의 현황 및 설비업계와의 접목 가능성, 향후 전망 등에 대해 알아본다.

  • PDF

Character Detection and Recognition of Steel Materials in Construction Drawings using YOLOv4-based Small Object Detection Techniques (YOLOv4 기반의 소형 물체탐지기법을 이용한 건설도면 내 철강 자재 문자 검출 및 인식기법)

  • Sim, Ji-Woo;Woo, Hee-Jo;Kim, Yoonhwan;Kim, Eung-Tae
    • Journal of Broadcast Engineering
    • /
    • v.27 no.3
    • /
    • pp.391-401
    • /
    • 2022
  • As deep learning-based object detection and recognition research have been developed recently, the scope of application to industry and real life is expanding. But deep learning-based systems in the construction system are still much less studied. Calculating materials in the construction system is still manual, so it is a reality that transactions of wrong volumn calculation are generated due to a lot of time required and difficulty in accurate accumulation. A fast and accurate automatic drawing recognition system is required to solve this problem. Therefore, we propose an AI-based automatic drawing recognition accumulation system that detects and recognizes steel materials in construction drawings. To accurately detect steel materials in construction drawings, we propose data augmentation techniques and spatial attention modules for improving small object detection performance based on YOLOv4. The detected steel material area is recognized by text, and the number of steel materials is integrated based on the predicted characters. Experimental results show that the proposed method increases the accuracy and precision by 1.8% and 16%, respectively, compared with the conventional YOLOv4. As for the proposed method, Precision performance was 0.938. The recall was 1. Average Precision AP0.5 was 99.4% and AP0.5:0.95 was 67%. Accuracy for character recognition obtained 99.9.% by configuring and learning a suitable dataset that contains fonts used in construction drawings compared to the 75.6% using the existing dataset. The average time required per image was 0.013 seconds in the detection, 0.65 seconds in character recognition, and 0.16 seconds in the accumulation, resulting in 0.84 seconds.

Checklists for Construction Drawings of Office Buildings based on Working Drawing Analysis (공사용도면 현황분석에 기반한 일반업무시설 실시설계도면 체크리스트 개선방안)

  • Lee, Beom-Koo;Jung, Tae-Hwan;Park, Hyung-Jin;Koo, Kyo-Jin
    • Korean Journal of Construction Engineering and Management
    • /
    • v.11 no.4
    • /
    • pp.3-11
    • /
    • 2010
  • Currently the quality of construction drawings is deteriorated due to restrictions on time costs allowed to the design phase. Moreover shop drawings are arbitrarily produced without the standard criteria, and cleared off after the completion of construction. As a result, the information of produced shop drawings is not feedback to the design phase, and the quality of the construction drawings become worse. This study proposes checklists that include information requested at construction sites and the shop drawings as well as the existing checklists for the construction drawings. The checklists integrate designer's check-items according to breakdown of drawings and contractor's check-items base don construction process. Index matrices of the integrated checklists is developed for practical application of the checklists, and validated through intensive interview with design and construction practitioners.

Study on the Line Simplification Method based on Turning Function for updating Digital Map (수치지도 갱신을 위한 선회함수 기반의 선형 단순화 기법 연구)

  • Park, Woo-Jin;Park, Seung-Yong;Woo, Ho-Seok;Yu, Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
    • /
    • 2009.04a
    • /
    • pp.15-17
    • /
    • 2009
  • The line simplification method based on the turning function is studied in this paper for conversion of ground plan data to geospatial data to update the digital map. This method eliminate vertices effectively by estimating the length and the angle between the vertices based on the turning function which is useful to express the shape of linear feature. As the result, this method shows high shape similarity, high elimination rate of vertices and 100% of satisfaction degree to the drawing rules. Thus this line simplification method is judged to be effective in updating the digital map with ground plans.

  • PDF

Map registration of building construction plan drawing with shape matching of cadastral parcel polygon (필지 객체의 형상 정합을 이용한 건물 설계도면의 좌표 등록)

  • Huh, Yong;Yu, Kiyun;Yang, Sungchul
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.31 no.3
    • /
    • pp.193-198
    • /
    • 2013
  • This study proposed a map registration method of a building construction plan drawing with shape matching of cadastral parcel polygon. In general, the drawing contains information about a building boundary and a cadastral parcel boundary. The shape of this cadastral parcel boundary should be same as that of the corresponding parcel polygon object in the KLIS continuous cadastral map. Thus, shape matching between two parcel boundary polygons from the drawing and cadastral map could present transformation parameters. Translation and scaling amounts could be obtained by difference of centroid coordinates and area ratio of the polygons, respectively. Rotation amount could be obtained by the rotation that presents the minimum Turning function dissimilarity of the polygons. The proposed method was applied for building construction plan drawings in eAIS for an urban area in Suwon. To assess positional accuracy of map registration, building polygons in registered drawings and aerial photos were compared. According to the accuracy of the cadastral map which is the reference dataset of the proposed method, the RMSE of corresponding buildings' corners was 0.95m and 2.37m in new and old urban areas, respectively.