Leveraging Extended Reality Capture Within Industrialized Construction Processes
DOI:
https://doi.org/10.57922/tcrc.636Keywords:
Extended Reality, Industrialized Construction, DesignAbstract
The concept of a digital twin has become ubiquitous within conventional construction to aid with collaboration, build clarity and reduce error. While BIM and other media can represent the characteristics of a space, VR can convey the experience of a place, and AR can enhance your understanding of that place. Leveraging these technologies help to simplify this complexity.
DIRTT utilizes proprietary design software called ICE which serves a translator of information for conventional design documents, augmenting them to incorporate bills of materials, manufacturing data, and engineering specifications all combined with rich visualization capabilities. These capabilities allow users to join stakeholders within project files from anywhere in the world to make design and construction decisions in real time.
In this presentation, attendees will be led through the three levels of immersion offered during the ICE design and construction processes - from solo, localized experiences to full body, multi-user experiences. Using a collaborative reality capture platform, attendees can also experience these capabilities themselves in real time through our ICEreality app.
Additional case studies will be presented to demonstrate how clients and designers have improved their pre-construction flow by using extended reality in unique and powerful ways.
Technology platforms like ICE are helping to redefine the way designers and clients approach a project. It allows them to limit unnecessary back-and-forth design verification through real-time visualization and instant quotes, while shortening lead times by automatically creating precise and customized construction data. By leveraging extended reality, the ICE system offers increased design freedom, and greater certainty in cost, schedule, and outcomes.
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2022 University of New Brunswick
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors/employers retain all proprietary rights in any process, procedure or article of manufacture described in the Work. Authors/employers may reproduce or authorize others to reproduce the Work, material extracted verbatim from the Work, or derivative works for the author’s personal use or for company use, provided that the source is indicated.