Human error accounts for about 60% of the annual power loss due to maintenance incidents in the fossil power industry. The International Atomic Energy Agency reports that 80\% of industrial accidents in the nuclear industry can be attributed to human error and 20\% to equipment failure. The Personal Augmented Reality Reference System (PARRS) is a suite of computer-mediated reality applications that looks to minimize human error by digitizing manual procedures and providing real-time monitoring of hazards present in an environment. Our mission is to be able to provide critical feedback to inform personnel in real-time and protect them from avoidable hazards. PARRS aims to minimize human error and increase worker productivity by bringing innovation to safety and procedural compliance by leveraging technologies such as augmented reality, LiDAR, computer machine learning and particulate mapping using remote systems.
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ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum
June 24–28, 2018
Lake Buena Vista, Florida, USA
Conference Sponsors:
- Power Division
- Advanced Energy Systems Division
- Solar Energy Division
- Nuclear Engineering Division
ISBN:
978-0-7918-5140-1
PROCEEDINGS PAPER
Case Study: Enhancing Human Reliability With Artificial Intelligence and Augmented Reality Tools for Nuclear Maintenance
Geoffrey Momin,
Geoffrey Momin
University of Ontario Institute of Technology, Oshawa, ON, Canada
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Raj Panchal,
Raj Panchal
University of Ontario Institute of Technology, Oshawa, ON, Canada
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Daniel Liu,
Daniel Liu
University of Ontario Institute of Technology, Oshawa, ON, Canada
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Sharman Perera
Sharman Perera
University of Ontario Institute of Technology, Oshawa, ON, Canada
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Geoffrey Momin
University of Ontario Institute of Technology, Oshawa, ON, Canada
Raj Panchal
University of Ontario Institute of Technology, Oshawa, ON, Canada
Daniel Liu
University of Ontario Institute of Technology, Oshawa, ON, Canada
Sharman Perera
University of Ontario Institute of Technology, Oshawa, ON, Canada
Paper No:
POWER2018-7495, V002T12A011; 6 pages
Published Online:
October 4, 2018
Citation
Momin, G, Panchal, R, Liu, D, & Perera, S. "Case Study: Enhancing Human Reliability With Artificial Intelligence and Augmented Reality Tools for Nuclear Maintenance." Proceedings of the ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum. Volume 2: Heat Exchanger Technologies; Plant Performance; Thermal Hydraulics and Computational Fluid Dynamics; Water Management for Power Systems; Student Competition. Lake Buena Vista, Florida, USA. June 24–28, 2018. V002T12A011. ASME. https://doi.org/10.1115/POWER2018-7495
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