Research Project
AI in Construction Code Compliance
(LLM for Ontology and Knowledge Graph in Construction Code Compliance)
Research Team
Lead Researchers:
- Dr. Shawn Sun, Civil Engineering & Construction Management
- Dr. Bingbing Li, Manufacturing Systems Engineering and Management
Collaborators:
- Dr. Maged Elaasar, JPL
Student Team:
- Summayah Waseem, MS Software Engineering
Funding
- Funding Organization:
- Funding Program:
SYNOPSIS
- Automate Building Information Model (BIM) checking processes.
- Use SPARQL queries and rule-based systems to extract and analyze building data.
- Aimed at improving accuracy and efficiency in the BIM validation workflow.
Research Questions and Research Objectives
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Develop an intelligent system for automating BIM validation.
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Focus on creating a system independent of specific BIM software by using IFC files.
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Implement rules from the International Building Code (IBC) to validate building designs.
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Generate comprehensive reports accessible via a website.
Research Methods
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Utilize IFC files for universal compatibility across BIM software.
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Convert IFC to RDF format to query using SPARQL.
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Use SmartReview as a research tool to guide the generation of accurate reports.
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Leverage Jupyter Notebooks for advanced rule visualization and HTML report generation.
Research Results and Deliverables
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Automated BIM validation using SPARQL queries and Python rules.
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IFC compatibility ensures the system can work with any software.
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Creation of HTML reports for easy review of BIM validation reports.
Commercialization Opportunities
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Application: Universal BIM validation tool applicable across multiple platforms via IFC standardization.
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Key Values: Automation reduces manual errors, accelerates compliance checks, and enhances review efficiency.
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Potential Customers: Developers, building authorities, and BIM software users looking to streamline validation processes.
Research Timeline
Start Date:
End Date:
Lead Researchers:
- Dr. Shawn Sun, Civil Engineering & Construction Management
- Dr. Bingbing Li, Manufacturing Systems Engineering and Management
Collaborators:
- Dr. Maged Elaasar, JPL
Student Team:
- Summayah Waseem, MS Software Engineering
Funding
- Funding Organization:
- Funding Program: