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  • Themes & Outputs
    • Theme One: Better Investment Decisions
      • Review of Condition Assessment Techniques for Pressure Pipes for Water
      • Code of Practice for Three-Waters Pipe Assets
      • Holistic Decision-making Framework for Three Waters
      • National Pipe Data Portal (NPDP)
      • Urban Flood Digtial Twin
      • Strategic Review of Procurement of Three-Waters
      • Classifying Sewer Pipe Deterioration
    • Theme Two: Digital Engineering
      • Artificial Intelligence Processes to Code Compliance Checking
      • Strategic Review of Digitisation of The Building Industry
      • Location Data Standards
      • BIMSAFE
      • BIM to BAM – Building Information Management to Building Asset Management
      • BIM Related Case Studies
    • Theme Three: Fit For Purpose
      • Strategic Review of Design and Construction of Non-Structural Elements
      • Non-structural Elements Experimental Testing
      • Testing Facility for Non-Structural Elements
    • Theme Four: Low Carbon and Climate Resilient Infrastructure
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Artificial Intelligence Processes to Code Compliance Checking

DATA601 Photogrammetry and Semantic Machine Learning for Construction Site Monitoring

Posted on January 31, 2023 by Greg.Preston

Each year, there are around 6000 injuries on the New Zealand construction site that have resulted in more than a week away from work [1]. It is critical for the

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Artificial Intelligence Processes to Code Compliance Checking COP

Training on Digitised Building Regulations For Automated Rule Extraction

Posted on August 14, 2022 by Greg.Preston

We investigate automated rule extraction from building regulations using a neural semantic parser. This task is regarded as a main requirement to enable automated compliance checking in the built en-

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Artificial Intelligence Processes to Code Compliance Checking COP

Neural Semantic Parsing of Building Regulations for Compliance Checking

Posted on July 4, 2022August 16, 2022 by Greg.Preston

Computerising building regulations to allow reasoning is one of the main challenges in automated compliance checking (ACC) in the built environment. While there has been a long history of translating

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Artificial Intelligence Processes to Code Compliance Checking COP

Natural Language Processing for Building Code Interpretation: A Systematic Literature Review

Posted on April 27, 2022June 29, 2022 by Greg.Preston

Short Version Building codes enforce a minimum quality level for buildings to ensure the safety of building occupants. Automated code compliance checking (ACCC) can guarantee the consistent application of all

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Artificial Intelligence Processes to Code Compliance Checking Building Industry, Mapping, standards

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        greg.preston@canterbury.ac.nz

        63 Creyke Road, Ilam, Christchurch 8041