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Knowledge-based system for resolving design clashes in building information models
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DOI：10.1016/j.autcon.2019.103001.png)
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Abstract
En 中文
Although building information modelling (BIM) has revolutionized building design and construction management, it is still time-consuming for a BIM project team to coordinate with designers to resolve clashes during the pre-construction stages. During the construction stage, shop drawings frequently have to be revised because of cognitive differences between the designers and constructors. These two groups of people view the resolution of such clashes from their own perspectives because of differences in their inherent knowledge and experience. To effectively improve the project delivery time, one option is to reduce the number of model revisions during the construction stage. This could be done by providing a BIM model as a reference. In this model, design clashes can be resolved from the perspective of the constructor before discussions in design coordination meetings to find compromises. In this work, an artificial intelligence system for such design clash resolution was developed with machine learning and heuristic optimizing techniques. In the experiment, we present a real case of a student residence, in which the mechanical, electrical, and plumbing systems in the basement are used to validate the effectiveness of the proposed system. The experimental results show the feasibility and effectiveness of the proposed system.
Keywords:
Building information modelling
Design clash resolution
Knowledge extraction
Heuristic optimization
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