Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Included in the Hierarchical Directory of High-quality Technical Journals in Architecture Science Field
Volume 52 Issue 4
Jul.  2022
Turn off MathJax
Article Contents
ZHOU Binke, CHENG Guozhong, TENG Wenzheng, ZHOU Handong, WANG Cong, CHEN Shasha, LIU Shuo, WANG Ruirong. Intelligent Optimization Method for Scan Planning of Large and Complex Space Frames[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(4): 202-208. doi: 10.13204/j.gyjzG21062919
Citation: ZHOU Binke, CHENG Guozhong, TENG Wenzheng, ZHOU Handong, WANG Cong, CHEN Shasha, LIU Shuo, WANG Ruirong. Intelligent Optimization Method for Scan Planning of Large and Complex Space Frames[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(4): 202-208. doi: 10.13204/j.gyjzG21062919

Intelligent Optimization Method for Scan Planning of Large and Complex Space Frames

doi: 10.13204/j.gyjzG21062919
  • Received Date: 2021-06-29
    Available Online: 2022-07-25
  • Three-dimensional (3D) laser scanner with high-accuracy data, little environment-induced effect and easy operation is preferred to reconstruction of building information models. Well-selected locations of 3D laser scanner depend on knowledge, experience and on-site decision of specialized persons, where it is difficult to find a balance between completeness of scanned object and scanning time. Besides, for large and complex space frames, a large number of scanned objects and heavy occlusions will significantly increase the difficulty of scan planning. To address above-mentioned issues, an optimization model for scan planning of large and complex space frames was built, considering the objective function, constraints, and optimization method. Further, a novel optimization process, including data extraction, scanning location optimization, and scanning route optimization, was proposed based on application programming interface of CAD and BIM, 3D laser scanning, weighted greedy algorithm and ant colony algorithm. It was stated that the proposed process was efficient and feasible in solving optimization model for scan planning of large and complex space frames, providing an efficient guide to data collection for generating as-built model of large and complex space frames.
  • loading
  • [1]
    董石麟.我国大跨度空间钢结构的发展与展望[J].空间结构,2000,6(2):3-13.
    [2]
    AZHAR S.Building information modeling (BIM):trends,benefits,risks,and challenges for the AEC industry[J],Leadership Management in Engineering,2011,11(3):241-252.
    [3]
    WOO J,WILSMANN J,KANG D.Use of as-built building information modeling[C]//Construction Research Congress 2010:Innovation for Reshaping Construction.Banff:2010:538-548.
    [4]
    TANG P B,HUBER D,AKINCI B,et al.Automatic reconstruction of as-built building information models from laser-scanned point clouds:a review of related techniques[J].Automation in Construction,2010,19(7):829-843.
    [5]
    MA Z L,LIU S L.A review of 3D reconstruction techniques in civil engineering and their applications[J].Advanced Engineering Informatics,2018,37:163-174.
    [6]
    WANG Q,KIM M K.Applications of 3D point cloud data in the construction industry:a fifteen-year review from 2004 to 2018[J].Advanced Engineering Informatics,2019,39:306-319.
    [7]
    ZHOU X H,LIU J P,CHENG G Z,et al.Automated location of replaceable coupling steel beam in RC shear wall using terrestrial laser scanning[J].Automation in Construction,2020,122.DOI: 10.1016/j.autcon.2020.103468.
    [8]
    KAWASHIMA K,YAMANISHI S,KANAI S,et al.Finding the next-best scanner position for as-built modeling of piping systems[J].The International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences,2014,40(5):313.
    [9]
    JIA F M,LICHTI D D.A model-based design system for terrestrial laser scanning networks in complex sites[J].Remote Sensing,2019,11(15):1749.
    [10]
    SCOTT W R.Model-based view planning[J].Machine Vision and Applications,2009,20:47-69.
    [11]
    ELLENRIEDER M M,KRUGER L,STOBEL D,et al.A versatile model-based visibility measure for geometric primitives[C]//Scandinavian Conference on Image Analysis.Joensuu:2005:669-678.
    [12]
    BIEGELBAUER G,VINCZE M,WOHLKINGER W.Model-based 3D object detection[J].Machine Vision and Applications,2010,21(4):497-516.
    [13]
    ARYAN A,BOSCHE F,TANG P B.Planning for terrestrial laser scanning in construction:a review[J].Automation in Construction,2021,125.DOI: 10.1016/j.autcon.2021.103551.
    [14]
    XIAO L,ZHANG T.A proximal stochastic gradient method with progressive variance reduction[J].SIAM Journal on Optimization,2014,24(4):2057-2075.
    [15]
    EHRLICH L W.A modified Newton method for polynomials[J].Communications of the ACM,1967,10(2):107-108.
    [16]
    POLI R,KENNEDY J,BLACKWELL T.Particle swarm optimization[J].Swarm Intelligence,2007,1(1):33-57.
    [17]
    VINCEA.A framework for the greedy algorithm[J].Discrete Applied Mathematics,2002,121(1/2/3):247-260.
    [18]
    DORIGO M,BIRATTARI M,STUTZLE T.Ant colony optimization[J].IEEE Computational Intelligence Magazine,2006,1(4):28-39.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (162) PDF downloads(7) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return