Theme 2 aims to determine the reliability, accuracy, ease of use, advantages and disadvantages of innovative digital building technologies and how well they meet the information needs of owners, users, designers, engineers, manufacturers and builders. This research will provide technology investors and users with information on the performance of digital technologies such as AI at various stages of design, construct and operate processes, which will help to reduce barriers to their use.
STRATEGIC REVIEW OF DIGITISATION OF THE BUILDING INDUSTRY
Robert Amor, University of Auckland
Larry Bellamy, University of Canterbury
Our objective with this project is to understand the state of digital building technologies in New Zealand’s building industry compared with overseas and identify pathways and technologies to accelerate digitalisation of the industry.
QUALITY ASSURANCE PROCESSES FOR DIGITAL BUILDING CONSENTING
Robert Amor, University of Auckland
The use of digital technologies has a potential to significantly increase the speed, accuracy and consistency of the consent process and improve the confidence that a design meets the code requirements. To support automated checking we investigate how to validate digitised codes and how they can be best delivered to the systems which require them.
Outputs coming soon.
ARTIFICIAL INTELLIGENCE PROCESSES TO CODE COMPLIANCE CHECKING
Robert Amor, University of Auckland
This investigation of Artificial Intelligence (AI) for the construction industry has a focus automated translation of the approximately 600 codes and standards required for code compliance checking. It uses Natural Language Processing (NLP) techniques to interpret and translate them into a computable representation for software tools.
DIGITAL BUILDING TECHNOLOGIES – PERFORMANCE METRICS
Larry Bellamy, University of Canterbury
This project will identify and develop a set of industry-accepted metrics and measurement methods for evaluating the performance of digital building technologies.
Outputs coming soon.
BIM TO BAM – Building Information Management to Building Asset Management
Greg Preston, Building Innovation Partnership
Larry Bellamy, University of Canterbury
Robert Amor, University of Auckland
This project aims to develop an integrated and appropriately scaled framework for capturing, visualising and managing the information needed by asset owners to manage the whole of life of a new building.
LOCATION DATA STANDARDS
Greg Preston, Building Innovation Partnership
Matt Wilson, University of Canterbury
Develop a strategy for integrating geospatial standards with BIM and built environment metadata standards.
BIM RELATED CASE STUDIES
Greg Preston, Building Innovation Partnership
Robert Amor, University of Auckland
A collection of case studies from active BIM projects across a range of topics.
BIMSAFE
Greg Preston, Building Innovation Partnership
Robert Amor, University of Auckland
This project seeks to accelerate the use of Building Information Modelling (BIM) for Health and Safety outcomes across all phases of a project. Guidelines and best practice will be published aligned with case studies from recent construction projects.