Developing a spaceborne-assisted Digital Twin for sustainable mining operations

Mining sustainability as one of Canada’s strategic industries can be effectively enhanced by using digital twins meaning to consider socioeconomic impacts, conserve the natural resources for the current and future generations, and be resilient against climate change over the mine life cycle. A digital twin is a virtual replica of a physical object, system, or process that uses real-time data to simulate how it behaves in the real world. Digital twins are one of the most trending technologies that can be used for various purposes, including aerospace, architecture, construction, energy, infrastructures, manufacturing, equipment, smart cities, urban planning, etc. The current project involves three interns with backgrounds in mining and geology, AI in geotechnics, and marketing and business development in developing a platform for spaceborne-assisted digital twin for mining systems. The project will involve creating a 3D geological BIM model (building information modelling) of the mine; collection, classification and implementation of semantic data of the material, and operation; collection, processing, and integration of satellite and drone imageries; implementation of real-time data via IoT (internet of things) sensors; performing AI-assisted and InSAR analysis on spaceborne imageries; integration of all into a powerful Digital Twin of the mining system; and performing a range of business development and marketing activities related to the developed product.

Faculty Supervisor:

Hodjat Shiri

Student:

Partner:

Remote Digital Twin Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program: