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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Automated code compliance checking research based on BIM and knowledge graph.

Junlong Peng1,2, Xiangjun Liu3,4

  • 1College of Transportation Engineering, Changsha University of Science and Technology, Changsha, 410114, Hunan, China.

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|May 1, 2023
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Summary
This summary is machine-generated.

This study introduces an automated code compliance checking method using Building Information Modeling (BIM) and knowledge graphs. It transforms construction codes into a machine-readable format, enhancing efficiency and reducing manual dependency in reviews.

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Area of Science:

  • Construction Management
  • Artificial Intelligence
  • Computer Science

Background:

  • Traditional construction code compliance relies heavily on manual expert review, leading to inefficiencies.
  • The construction industry seeks advanced methods to improve accuracy and speed in code compliance checking.

Purpose of the Study:

  • To develop an automated code compliance checking system using Building Information Modeling (BIM) and knowledge graph technologies.
  • To overcome the limitations of manual review processes in construction projects.

Main Methods:

  • Utilized natural language processing (NLP) to convert specification provisions into a structured, machine-readable knowledge graph.
  • Exported BIM model information and generated a global resource description framework (RDF) using Protégé.
  • Developed mapping and review rules to process BIM data against the knowledge graph.

Main Results:

  • Successfully transformed complex code provisions into a human-machine-readable knowledge graph pattern.
  • Demonstrated the feasibility of automated review through a practical example.
  • Generated review reports by mapping BIM data to established rules.

Conclusions:

  • The proposed method effectively addresses manual dependency and inefficiency in construction code compliance.
  • Integrating BIM and knowledge graphs offers a robust solution for automated regulatory review.
  • This approach paves the way for more streamlined and accurate construction processes.