Grants and Contributions:
Title:
Development of AI-based digital twin for railway operation
Agreement Number:
966106
Agreement Value:
$120,780.00
Agreement Date:
Mar 1, 2021 - Mar 1, 2024
Description:
This Project involves developing an AI-based Digital Twin for heavy freight rail car operation in the railway industry. The objective is to ensure better Canadian transportation by improving safety of railway operations and
reducing the cost of maintenance and down time. Digital Twin (DT) is a disruptive technology that involves creating a living model of a physical asset. The living model will continually adapt to changes in the environment
or operation using real-time sensory data, which can in turn forecast the future state of the corresponding physical assets. A Digital Twin can be used to proactively identify potential issues with its real physical counterpart, which
allows the prediction of the remaining useful life of the physical twin by deploying machine learning-based models (or so-called data-driven models) developed from “big data”. By performing AI-based predictive maintenance
for twinned freight cars, failures or defects can be fixed before they result in potential safety issues and costly service interruptions and delays.
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:
Ottawa, Ontario, CA K1N 6N5
Reference Number:
172-2020-2021-Q4-966106
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119278877
Recipient Type:
Academia
Recipient's Legal Name:
University of Ottawa
Federal Riding Name:
Ottawa–Vanier
Federal Riding Number:
35078
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