Sustainable management of construction site big visual data |
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Authors: | Andrej Tibaut Damjan Zazula |
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Affiliation: | 1.Faculty of Civil Engineering, Transportation Engineering and Architecture,University of Maribor,Maribor,Slovenia;2.Faculty of Electrical Engineering and Computer Science,University of Maribor,Maribor,Slovenia |
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Abstract: | 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. |
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