- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
In recent years, there have been significant advances in modeling technology for object-oriented building products. However, the building models are still lacking of providing construction-specific spatial information required for construction planning. Consequently, construction planners visually analyze building product models and derive geometric characteristics such as bounded spaces and exterior perimeter to develop detailed construction plans. Such a process presents fragmented information flows, from building product information to construction planning, that rely on subjective decisions of construction planners. In order to overcome these drawbacks, this research proposes a geometric reasoning system that analyzes geometric information in building designs, derives the construction-specific spatial information, and uses the information to assist in construction planning. The scope of presented work includes detecting work packages formed by faces during construction, such as large work faces and bounded spaces, and using information in the work packages directly to support planning of selected indoor construction activities. The main features of the proposed system named Construction Spatial Information Reasoner (CSIR) include a set of relationship acquisition algorithms, building component relationship data structure, and interpretation of the relationship to support detailed construction activity planning. The relationship acquisition algorithms identify adjacency between building components that is stored in the relational data structure. Then, acquired adjacency relationships are transformed into a set of graphs that represent work packages. To implement the proposed approach, CSIR utilized a commercially-available Building Information Modeling (BIM) platform and the algorithms were imbedded to the BIM platform. For validation, CSIR was tested on a real commercial building. For interior ceiling grid installation activities, CSIR successfully detected existing work packages and analyzed the spatial characteristics impacting construction productivity. The major contribution of the presented research would be to enable a realistic analysis of building geometric condition that is not possible in current BIM and a seamless information flow from building product information to construction process plans. These can potentially reduce current manual and error-prone construction planning processes. Limitations and future research suggestions are also presented.
5. Conclusion and discussion
This paper presented a geometric reasoning system called Construction Spatial Information Reasoner (CSIR) that derives construction-specific spatial interpretation of a building model to support automated construction planning. In existing BIM-based construction planning, construction plans are generated relying heavily on construction planners’ manual and subjective analyses on building geometry and construction schedule. To overcome such problems, this paper proposed an approach that automatically transforms geometric information of a building model into construction-specific spatial information that can be directly used as input for construction planning applications. Task-specific work packages are automatically derived from building design information and used in 4D BIM instead of individual building components. This feature enables automation of downstream construction planning activities and makes the proposed approach distinguishable from conventional 4D BIM and the previous work  that merely link solids into schedule activities. Therefore, the major contribution of this research is a seamless information flow from building product information to construction process information. Since most of construction projects are complex and involve many construction activities, automation of such geometric analysis and construction planning tasks will potentially contribute to reducing manual and mental efforts required to develop construction plans that are practical and executable. A case study is presented to demonstrate the potential of computer-assisted geometric reasoning and interpretation approach to derive useful information for a selected interior construction activity.