Abstract
Building product models are beginning to find their way into AEC practice. They are proving useful for coordinating large multidisciplinary design and construction teams. In an evolving design and construction planning process, building components are added, modified, or deleted from the product model, causing important spatial relationships to emerge. In addition, new criteria can emerge throughout this design and planning process, causing particular spatial configurations of building components to become of interest. Current practice for building product models relies heavily on explicit representation or on visual inspection to determine conditions of interest. As models become larger, and more complex, visual inspection and/or explicit representation become prohibitively difficult. Formalized automated reasoning mechanisms are needed to complement formalized representation strategies. This paper presents two cases from the Walt Disney Concert Hall, a project using a detailed 3-D building product model, where current practice failed to provide the team with required information. Practitioners need a user-customizable tool that can analyze the building product model and consistently and rapidly identify instances of these spatial conditions based on the current state of the model. We formalize reasoning mechanisms called perspectors that analyze a building product model and add objects, attributes, or relationships, based on the analysis. We use these perspectors to infer implicit spatial relationships between building components, making these relationships explicit.
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Haymaker, J., Fischer, M., Kunz, J. (2002). Perspectors. In: Gero, J.S. (eds) Artificial Intelligence in Design ’02. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0795-4_28
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DOI: https://doi.org/10.1007/978-94-017-0795-4_28
Publisher Name: Springer, Dordrecht
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