Digital Twin for Proactive Maintenance of Data Centre

The data centre management is paramount to ensure the uptime operation. This research aims to develop a digital twin platform using the industrial Internet of Things, edge and cloud computing, and artificial intelligence for predictive maintenance of data centre. The facilitate maintenance scheduling and data centre energy consumption could be further optimized through the digital twin platform, which enables the prediction with a virtual representation of the physical asset or a process. The interns will have the chance to work with industry partner in a multi-disciplinary team. This project will give valuable insight into the real industry problem and enable the collaborative research with academia.

Faculty Supervisor:

Zheng Liu;Eric Li

Student:

Yanshuo Fan

Partner:

Infocube

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of British Columbia Okanagan