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Grant: Research Tools and Instruments

Queen's University

$149,720.00

UAV-based System for Monitoring and Tracking of Oil and Gas Infrastructure

FY 2016-17

Summary
Autonomous platforms, like unmanned aerial vehicles (UAV), are expected to grow to a $80 billion market by 2025. Our goal is to leverage our prior work in wireless sensor networks, ad-hoc communications and networks, multi-sensor fusion and positioning/navigation to create an innovative UAV system in two new applications of strategic importance to oil and mining industries in Canada. In this proposal, we develop innovative UAV networks in: i) oil sands and other mining for detection of breakage of machinery parts and accurate localization of the detached metal parts; and, ii) oil and gas pipelines for monitoring structural health and for the detection and localization of damage to the pipeline. Our research will provide valuable hands-on experience in state-of-the-art design, performance evaluation and implementation of UAV cooperative operation, multi-sensor fusion, geo-referencing and embedded system realization on UAV processing boards for graduate students. In addition, the UAV-based System for Monitoring and Tracking of Oil and Gas Infrastructure will enable our trainees to directly work with our industry partners, contributing to their professional skills. Canadian oil, gas, mining and ICT sectors will have access to highly skilled graduates and to leading research on multi-sensor tracking and structural monitoring technologies. At least 10 graduate students will be trained on UAV networks, supervised by the applicants. These skills are in high demand in Canada and around the world. Our graduates will offer unique and timely skills to next-generation network architects and users and our research will extend Canadian expertise to new applications of growing demand in the oil and mining sectors.
Program
Research Tools and Instruments
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RTI-2017-00127
Name nom
Hassanein, Hossam
Department département
Computing, School of - Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
149720
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1607
Committee name en
Computer, Mathematical and Statistical Sciences (RTI)
Committee name fr
Sciences informatiques, mathématiques et statistiques (OIR)
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
1400
Research subject group en
Mining and mineral processing
Research subject group fr
Génie minier et minéral
Research subject en
Mining and mineral processing
Research subject fr
Génie minier et minéral
Partie
1
Nb partie
1
Application title
UAV-based System for Monitoring and Tracking of Oil and Gas Infrastructure
Keyword
NSERC
Application summary
Autonomous platforms, like unmanned aerial vehicles (UAV), are expected to grow to a $80 billion market by 2025. Our goal is to leverage our prior work in wireless sensor networks, ad-hoc communications and networks, multi-sensor fusion and positioning/navigation to create an innovative UAV system in two new applications of strategic importance to oil and mining industries in Canada. In this proposal, we develop innovative UAV networks in: i) oil sands and other mining for detection of breakage of machinery parts and accurate localization of the detached metal parts; and, ii) oil and gas pipelines for monitoring structural health and for the detection and localization of damage to the pipeline. Our research will provide valuable hands-on experience in state-of-the-art design, performance evaluation and implementation of UAV cooperative operation, multi-sensor fusion, geo-referencing and embedded system realization on UAV processing boards for graduate students. In addition, the UAV-based System for Monitoring and Tracking of Oil and Gas Infrastructure will enable our trainees to directly work with our industry partners, contributing to their professional skills. Canadian oil, gas, mining and ICT sectors will have access to highly skilled graduates and to leading research on multi-sensor tracking and structural monitoring technologies. At least 10 graduate students will be trained on UAV networks, supervised by the applicants. These skills are in high demand in Canada and around the world. Our graduates will offer unique and timely skills to next-generation network architects and users and our research will extend Canadian expertise to new applications of growing demand in the oil and mining sectors.
Queen's University - $149,720 Grant (2016-17) | Canada Spends