Grant: Applied Research and Development Grants - Level 3
Saskatchewan Polytechnic
$150,000.00
Using AI to automatically generate mining algorithms
FY 2021-22
Summary
Hard-rock mining of uranium in Canada's north is challenging and often difficult. Operating risk exposures are heightened when mining in high-grade uranium ore bodies that are exposed to possible flooding from water above the mine. To succeed in this environment Cameco has successfully mechanized their operations and relies on Jet Boring technology. This proposed project is planned to advance the visibility and automation systems for Jet Boring by: 1) creating large volumes of data created by ongoing measurement of the process; 2) collecting, analyzing, and synthesizing that data in order to form conclusions; and 3) confirming the effectiveness of using those conclusions to inform, control and direct operational decisions and automation of the mechanized Jet Boring systems. At this early stage, proof of concept level work will identify further opportunities that can point to or suggest a roadmap for further automation and optimization possibilities within mining.
Program
Applied Research and Development Grants - Level 3
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
544678-2019
Name nom
Rogers, Kevin
Department département
Head Office
Organization id
44957
Institution établissement
Saskatchewan Polytechnic
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2019
Award amount
150000
Program id
CARD3
Program name en
Applied Research and Development Grants - Level 3
Program name fr
Subventions de recherche et développement appliquée - niveau 3
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
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
2709
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Other computing methods
Research subject fr
Autres méthodes informatiques
Installment
inst:2
Partie
1
Nb partie
3
Application title
Using AI to automatically generate mining algorithms
Keyword
NSERC
Application summary
Hard-rock mining of uranium in Canada's north is challenging and often difficult. Operating risk exposures are heightened when mining in high-grade uranium ore bodies that are exposed to possible flooding from water above the mine. To succeed in this environment Cameco has successfully mechanized their operations and relies on Jet Boring technology. This proposed project is planned to advance the visibility and automation systems for Jet Boring by: 1) creating large volumes of data created by ongoing measurement of the process; 2) collecting, analyzing, and synthesizing that data in order to form conclusions; and 3) confirming the effectiveness of using those conclusions to inform, control and direct operational decisions and automation of the mechanized Jet Boring systems. At this early stage, proof of concept level work will identify further opportunities that can point to or suggest a roadmap for further automation and optimization possibilities within mining.
