Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

The University of British Columbia

$246,400.00

Digital Twin Platform for Infrastructure Asset Lifecycle Management

FY 2021-22 · 2021-04-19

Summary
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.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Vancouver|Vancouver, British Columbia, Canada
Recipient Type
Academia
Business Number
108161779
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

As published

Agreement End Date
2024-03-31
Agreement Number
970768
Agreement Start Date
2021-04-19
Agreement Title
Digital Twin Platform for Infrastructure Asset Lifecycle Management
Agreement Title (French)
Plateforme de jumelage numérique pour la gestion du cycle de vie des Infrastructures
Agreement Type
Grant
Agreement Value
$246,400.00
Amendment Number
0
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.
Description (French)
Ce projet a pour but d’élaborer un écosystème de jumelage numérique pour la gestion du cycle de vie des infrastructures. Il mettra l’accent sur l’utilisation de solutions d’IA novatrices pour l’entretien préventif des infrastructures industrielles, et conduira à la création de modèles fondés sur l’intelligence artificielle (IA) pour l’intégration dans les plateformes industrielles. Le savoir-faire complémentaire des membres de l’équipe de recherche permettra à ces derniers de créer un jumeau numérique vivant et intelligent d’infrastructure et d’équipement de production industrielle. Grâce à la plateforme de jumelage numérique, les décideurs engagés dans la production industrielle pourront jouir d’un meilleur accès à des informations essentielles telles que la durée de vie utile de composantes ou de structures importantes. Par ailleurs, les algorithmes d’IA pourront proposer des calendriers et des activités d’entretien proactifs. Le projet permettra ainsi de renforcer la compétences des entreprises canadiennes sur le marché mondial en proposant des solutions de pointe répondant aux besoins de l’industrie qui contribueront par ricochet à la croissance économique du pays.
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.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Vancouver Quadra
Federal Riding (French)
Vancouver Quadra
Federal Riding Number
59039
NAICS Code
541710 - R&D in the physical, engineering and life sciences
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
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.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
108161779
Recipient City
Vancouver|Vancouver
Recipient Country
CA
Recipient Legal Name
The University of British Columbia
Recipient Postal Code
V6T 1Z3
Recipient Province or Territory
BC
Recipient Type
S
Reference Number
172-2021-2022-Q1-970768
The University of British Columbia - $246,400 Grant (… | Canada Spends