Sustainable management of construction site big visual data

被引:16
|
作者
Tibaut, Andrej [1 ]
Zazula, Damjan [2 ]
机构
[1] Univ Maribor, Fac Civil Engn Transportat Engn & Architecture, Smetanova Ul 17, Maribor, Slovenia
[2] Univ Maribor, Fac Elect Engn & Comp Sci, Smetanova Ul 17, Maribor, Slovenia
关键词
Construction site monitoring; Big visual data; Building information modelling; Man-Machine-Environment System Engineering; ICT framework; INFORMATION; TECHNOLOGY; FEATURES; VISION; SYSTEM; MODEL;
D O I
10.1007/s11625-018-0595-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Architecture, Engineering, Construction, Operation and Ownership (AECOO) team up in a multi-disciplinary collaborative system to create buildings and infrastructure. The participating disciplines have reached a state in which traditional methods and forms of input data introduce entropy that compromises sustainable construction in larger projects. It became difficult to reach planned optimum project duration and costs this way. New approaches based on the systematic digitalization of the building lifecycle, from design to demolition, can solve the problem by involving the concepts of building information modeling (BIM) systems and big data. Previous research on BIM and big data only studied the potential for construction performance. In addition to extending research into systems' thinking and technical sustainability of big visual data, this paper extends our previous work in the area by introducing a new conceptual and technical framework for sustainable management of construction site big visual data.
引用
收藏
页码:1311 / 1322
页数:12
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