CBIM: Graph-Based Inter-domain Consistency Maintenance for BIM Models

Wang, Zijian; Ouyang, Boyuan; Sacks, Rafael

doi:10.2139/ssrn.4259999

Cited by 1 publication

(4 citation statements)

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“…BIM models of 32 apartment units were collected from projects in Israel which included both architectural and MEP models. A Dynamo program was executed to extract the geometry of each object from Revit's database and save its mesh as a Polygon File Format (PLY) file (Wang et al 2023a).…”

Section: Exp 1: Object Type Classificationmentioning

confidence: 99%

“…The first graph was generated by the generic semantic enrichment approach presented in this study. The second graph was constructed using 28 Wang, October 5, 2023 the CBIM-Revit parser, which retrieves all accessible information from the Revit database using Dynamo APIs and organizes it into an LBD graph CDE (Wang et al 2023a). It keeps all accessible raw information from the Revit environment directly, which can partially showcase the data richness in the design software.…”

Section: Evaluation and Comparisonmentioning

confidence: 99%

“…This involves placing designs in one architectural software and one structural editor independently and connecting them to a cloud server. Whenever a model is modified, the cloud server can analyze the change and propagate either geometry reference or correction commands to the affected discipline to assist across-domain design coordination (Wang et al 2022a). Generally, CBIM provides an object-level solution to enhance collaboration across disciplines.…”

Section: Across-domain Coordinationmentioning

confidence: 99%

“…The database consisted of two parts: a graph layer for representing building objects, relationships, and attributes, and an extension layer for storing geometries independently.Following this, a Reconstructor was used to rebuild BIM objects in Revit 2022 using the enriched semantics. The Reconstructor, developed with Dynamo and Python, retrieves the required object information from the graph-based CDE and inputs it into Dynamo functions for generating objects(Wang et al 2023b). For example, creating a window using Dynamo requires the hosted object, the location, and the window type.…”

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confidence: 99%

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A Framework for Generic Semantic Enrichment of BIM Models

Wang,

Sacks,

Ouyang

et al. 2024

J. Comput. Civ. Eng.

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The design intent and many meaningful semantics in Building Information Modeling (BIM) models are often implicit, and some explicit semantics are lost during model exchanges. These missing information can be artificially supplemented through a process called semantic enrichment. However, previous research on semantic enrichment has primarily focused on specific tasks, leading to a limited scope of predictions, and lacks comprehensive, seamless approaches. In this study, we aim to infer BIM semantics from fundamental model data, pure object geometries, and organize the predicted results into a graph-based Common Data Environment (CDE) to support intelligent applications. Consequently, we propose a framework of generic semantic enrichment which includes four fundamental tasks in the context of graphs and a process control mechanism to execute a set of tools in a proper sequence. To validate its feasibility, we selected a real-world apartment model and developed six tools to generate the graph-based CDE from its object geometries. Additionally, applications were implemented on the graph-based CDE, such as 1) enriching 1Wang,

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Section: Exp 1: Object Type Classificationmentioning

confidence: 99%

Section: Evaluation and Comparisonmentioning

confidence: 99%

Section: Across-domain Coordinationmentioning

confidence: 99%

mentioning

confidence: 99%

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