Streamlining Roof Insulation Panels Laying with Intelligent Technology: A Deep Learning and IFC-Based Approach for Material Identification and Verification Using OpenCV
Publication: Computing in Civil Engineering 2023
ABSTRACT
In this article, we present a novel approach for automating the process of laying roof insulation panels, which involves leveraging intelligent technologies to streamline the process. The proposed solution includes reading IFC content for material information from the design side, utilizing deep learning algorithms to identify roof insulation panel materials, and taking photos and verifying them with OpenCV after the roof insulation panels have been laid. By automating the process of identifying and verifying materials, the solution can improve the efficiency of the roof insulation panel laying process, reduce errors, and increase overall productivity. The article outlines the technical details of the approach, including the use of machine learning algorithms, and discusses the potential benefits and limitations of this approach. Ultimately, this research contributes to the ongoing efforts to automate construction processes, reduce labor costs, and improve the quality of construction projects.
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Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 340 - 348
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Algorithms
- Architectural engineering
- Artificial intelligence and machine learning
- Automatic identification systems
- Building insulation
- Building systems
- Computer programming
- Computing in civil engineering
- Detection methods
- Engineering fundamentals
- Materials engineering
- Materials processing
- Mathematics
- Methodology (by type)
- Neural networks
- Panels (structural)
- Research methods (by type)
- Roofs
- Structural engineering
- Structural members
- Structural systems
- Verification
Authors
Metrics & Citations
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