Developing data transfer pipelines for a cloud-based digital twin prototyping system

Digital twin technology creates a digital replica of a physical object, such as a human, device, system, or process that mirrors the actual process with full knowledge of its historical performance. It has the advantage of enabling agility and convergence of understanding to support more effective decision-making and resource allocation optimization. Aleo Canada (noted as Aleo in the following) is a subsidiary of the Ellipse Ingénieurie Group (France and Canada) with approximately 150 employees globally, specializing in providing engineering software and Information Technology services for critical engineering systems (e.g., aircraft, transportation, and manufacturing). Aiming at developing the cutting-edge digital twin technology, Aleo and University of Guelph has collaboratively developed a prototyping digital twin software platform that enables semi-synchoronized motion between physical device and its digital twin via Google Cloud, Internet of Things (IoT) sensors, and 3D simulation. The developed software prototype has two deficits. First, it only supports uni-directional data communication from remote user interface (i.e., webpage) to physical machine rather than the other way around. Second, the tested device is overly simplified and it cannot reflect the complexity of real manufacturing scenarios.

Faculty Supervisor:

Sheng Yang

Student:

Partner:

Aleo Canada

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program: