Grant: Alliance Grants
University of Waterloo
$144,000.00
Digital Underground Mining: Operation Assist Systems
EF 2024-25
Résumé
The mining sector holds a critical position within Canada's economy, making a substantial $125 billion contribution to the national GDP. It represents a significant 22 percent of Canada's total domestic exports and offers employment to 665,000 individuals, both directly and indirectly, across the country. This industry, however, faces challenges due to labore shortage, safety, efficiency, and sustainability.
Although autonomous mining systems have shown advancements in open-pit mines, the shift to underground mining introduces significant hurdles. These obstacles include the absence of GPS signals, low visibility, confined spaces, and concurrent operation of multiple vehicles thus adding to the complexities of autonomous mining in underground settings.
To achieve fully autonomous underground mining, initial steps must be taken to move from manual operations toward full autonomy. This project aims to push the boundaries of existing limited automation in underground mining by developing reliable perception and localization, along with advanced operation assist and diagnostic/prognostic systems. These technologies aim to address industry challenges in safety, labor shortages, efficiency, and sustainability. With real-world testing, our goal is to make these technologies ready for commercialization by our industry partner. These advancements will pave the way for full autonomous underground mining in near future.
The outcomes of this research program will support one of the most crucial industries in Canada with substantial economic benefits. The technologies developed in this research program will pave and expedite the development of autonomous underground mining, positioning Canada as a leader in this emerging field. HQP involved in the project will gain invaluable experience in numerous technologies that are highly sought after by our industry partner and other high-tech Canadian companies.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
588516-2023
Name nom
Khajepour, Amir A
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
144000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
202
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Mineral resources ( prospecting, exploration, mining, extraction, processing)
Area of application fr
Ressources minérales (prospection, exploration, mines, extraction et préparation)
Research subject code
1150
Research subject group en
Systems engineering
Research subject group fr
Génie des systèmes
Research subject en
Systems engineering
Research subject fr
Génie des systèmes
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Digital Underground Mining: Operation Assist Systems
Keywords
collision avoidence; digital mining; estimation; health monitoring; multi-modal perception; operation assist systems; perception systems; predictive maintenance; tele-operations; underground mining
Application summary
The mining sector holds a critical position within Canada's economy, making a substantial $125 billion contribution to the national GDP. It represents a significant 22 percent of Canada's total domestic exports and offers employment to 665,000 individuals, both directly and indirectly, across the country. This industry, however, faces challenges due to labore shortage, safety, efficiency, and sustainability.
Although autonomous mining systems have shown advancements in open-pit mines, the shift to underground mining introduces significant hurdles. These obstacles include the absence of GPS signals, low visibility, confined spaces, and concurrent operation of multiple vehicles thus adding to the complexities of autonomous mining in underground settings.
To achieve fully autonomous underground mining, initial steps must be taken to move from manual operations toward full autonomy. This project aims to push the boundaries of existing limited automation in underground mining by developing reliable perception and localization, along with advanced operation assist and diagnostic/prognostic systems. These technologies aim to address industry challenges in safety, labor shortages, efficiency, and sustainability. With real-world testing, our goal is to make these technologies ready for commercialization by our industry partner. These advancements will pave the way for full autonomous underground mining in near future.
The outcomes of this research program will support one of the most crucial industries in Canada with substantial economic benefits. The technologies developed in this research program will pave and expedite the development of autonomous underground mining, positioning Canada as a leader in this emerging field. HQP involved in the project will gain invaluable experience in numerous technologies that are highly sought after by our industry partner and other high-tech Canadian companies.