Grants and Contributions:
Title:
Digital Twin Platform for Infrastructure Asset Lifecycle Management
Agreement Number:
970768
Agreement Value:
$246,400.00
Agreement Date:
Apr 19, 2021 - Mar 31, 2024
Description:
The Project will develop a digital twin ecosystem for asset lifecycle management. In doing so, the Project will target the use of innovative AI solutions for predictive maintenance of industrial assets and deliver artificial intelligence (AI) models for implementation into industry platforms. The complementary expertise brought by the research team will enable the creation of an intelligent living digital twin model of infrastructure and equipment for industrial production. With the digital twin platform, decision makers involved in industrial production can get better access to critical information such as the remaining useful life of the key component or structure. Additionally, the AI algorithms will be able to propose proactive maintenance schedules and activities. Thus, the Project will enhance the competency of Canadian businesses in the global market by providing stateof-the-art solutions to meet industry needs which will benefit the country’s economic growth.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Vancouver, British Columbia, CA V6T 1Z3
Reference Number:
172-2021-2022-Q1-970768
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108161779
Recipient Type:
Academia
Recipient's Legal Name:
The University of British Columbia
Federal Riding Name:
Vancouver Quadra
Federal Riding Number:
59039
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences