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To maximize the potential of Building Information Modelling (BIM) projects and to ensure effective collaboration between multidisciplinary teams, efficient information management is essential. This paper presents a solution integrating open source openBIM tools with advanced artificial intelligence to perform intelligent queries on IFC model data. The solution is implemented as a plugin for Blender and Bonsai (formerly known as BlenderBIM) and utilizes the IfcOpenShell library to process and extract model data, including class attributes and property sets. The data is organized in a structured JSON file to facilitate user queries. The proposed workflow begins with users formulating natural language queries in a text box within Blender. These queries, along with the extracted model data, are processed by an advanced AI system, such as Gemini, which can interpret natural language and analyze complex data. The AI retrieves the relevant GUIDs that match the specified criteria, enabling the application to visually highlight the corresponding elements of the BIM model in the 3D environment, changing their colour for easy identification. This solution emphasizes the use of open-source tools, ensuring accessibility, adaptability, and flexibility for both developers and end users. By utilizing Blender, Bonsai, and IfcOpenShell, the workflow promotes interoperability and allows the creation of custom applications tailored to the specific needs of the construction industry. Additionally, the natural language query capability makes BIM model information more accessible, enabling both technical and non-technical users to interact with models intuitively. This enhances decision-making efficiency and fosters interdisciplinary collaboration.

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Integration of Artificial Intelligence and Open-Source Tools for Intelligent Natural Language Queries on IFC Models: An Accessible and Collaborative Solution

  • 会议论文

  • 发表日期：

    2026年

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  • Norena Martín-Dorta,
  • Ana Pérez-García,
  • Ángel Díaz-Murillo

摘要

To maximize the potential of Building Information Modelling (BIM) projects and to ensure effective collaboration between multidisciplinary teams, efficient information management is essential. This paper presents a solution integrating open source openBIM tools with advanced artificial intelligence to perform intelligent queries on IFC model data. The solution is implemented as a plugin for Blender and Bonsai (formerly known as BlenderBIM) and utilizes the IfcOpenShell library to process and extract model data, including class attributes and property sets. The data is organized in a structured JSON file to facilitate user queries. The proposed workflow begins with users formulating natural language queries in a text box within Blender. These queries, along with the extracted model data, are processed by an advanced AI system, such as Gemini, which can interpret natural language and analyze complex data. The AI retrieves the relevant GUIDs that match the specified criteria, enabling the application to visually highlight the corresponding elements of the BIM model in the 3D environment, changing their colour for easy identification. This solution emphasizes the use of open-source tools, ensuring accessibility, adaptability, and flexibility for both developers and end users. By utilizing Blender, Bonsai, and IfcOpenShell, the workflow promotes interoperability and allows the creation of custom applications tailored to the specific needs of the construction industry. Additionally, the natural language query capability makes BIM model information more accessible, enabling both technical and non-technical users to interact with models intuitively. This enhances decision-making efficiency and fosters interdisciplinary collaboration.