AI has tremendous potential to reduce the substantial repetitive tasks, enabling engineers to concentrate more on engineering.
Copyright by www.powerengineeringint.com
Today, utility engineers spend a significant portion of their time completing repetitive administration tasks. Some organizations estimate that upwards of 40 per cent of the time of highly trained engineers is spent on these mundane tasks.
The maturation of artificial intelligence techniques such as machine learning and natural language processing has made them increasingly viable for use in automating more complex and higher impact tasks. AI has tremendous potential to reduce the substantial repetitive tasks, enabling these engineers to concentrate more on engineering.
Recently, Ontario Power Generation (OPG) – a generator with a diverse portfolio of over 16 GW of capacity, including 5.7 GW of in-service nuclear capacity – demonstrated the potential of AI in one specific step in the nuclear unit outage planning process.
Planned maintenance outages of two to three months in duration are an annual occurrence within OPG nuclear facilities. Each outage requires the scheduling of around 20,000 to 25,000 individual tasks. The majority of these tasks are similar to previous outages, meaning a team of highly-skilled outage personnel are reviewing procedures as well as manually searching and populating tasks from past schedules.
The current outage planning process at OPG consists of over 40 major milestones that start more than two years before a nuclear unit outage is set to begin. The outage milestones are based on industry best practices related to safety, reliability, scope and duration, and also take into consideration individual nuclear facility needs. Embedded throughout these milestones are the issuances of four revisions of the nuclear outage schedule, wherein each subsequent version is increasingly more detailed and comprehensive than the previous.
The Outage AI solution is a custom-built, cloud-hosted application that integrates seamlessly with the existing IT infrastructure at OPG and leverages elements of AI, machine learning, NLP and intelligent automation. The objective here is to predict the work breakdown structure of the 20,000 to 25,000 tasks, including their logical predecessors and successors (logic ties), and automatically schedule them within the upcoming nuclear unit outage Revision ‘B’ schedule.
The Outage AI solution that OPG has deployed focuses on predicting logic ties for tasks that are to be included in the outage window, creating the very first version of the schedule with all tasks populated. This approach ensures reduces manual effort while sufficient oversight contingency is maintained throughout the development of each subsequent nuclear outage schedule revision to mitigate both risk and possible duration extensions.
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Leveraging artificial intelligence
The Outage AI solution is a custom-built, cloud-hosted application that integrates seamlessly with the existing IT infrastructure at OPG and leverages elements of AI, machine learning, NLP and intelligent automation. The objective here is to predict the work breakdown structure of the 20,000 to 25,000 tasks, including their logical predecessors and successors (logic ties), and automatically schedule them within the upcoming nuclear unit outage Revision ‘B’ schedule. […]
Read more – www.powerengineeringint.com
AI has tremendous potential to reduce the substantial repetitive tasks, enabling engineers to concentrate more on engineering.
Copyright by www.powerengineeringint.com
The maturation of artificial intelligence techniques such as machine learning and natural language processing has made them increasingly viable for use in automating more complex and higher impact tasks. AI has tremendous potential to reduce the substantial repetitive tasks, enabling these engineers to concentrate more on engineering.
Recently, Ontario Power Generation (OPG) – a generator with a diverse portfolio of over 16 GW of capacity, including 5.7 GW of in-service nuclear capacity – demonstrated the potential of AI in one specific step in the nuclear unit outage planning process.
Planned maintenance outages of two to three months in duration are an annual occurrence within OPG nuclear facilities. Each outage requires the scheduling of around 20,000 to 25,000 individual tasks. The majority of these tasks are similar to previous outages, meaning a team of highly-skilled outage personnel are reviewing procedures as well as manually searching and populating tasks from past schedules.
The current outage planning process at OPG consists of over 40 major milestones that start more than two years before a nuclear unit outage is set to begin. The outage milestones are based on industry best practices related to safety, reliability, scope and duration, and also take into consideration individual nuclear facility needs. Embedded throughout these milestones are the issuances of four revisions of the nuclear outage schedule, wherein each subsequent version is increasingly more detailed and comprehensive than the previous.
The Outage AI solution is a custom-built, cloud-hosted application that integrates seamlessly with the existing IT infrastructure at OPG and leverages elements of AI, machine learning, NLP and intelligent automation. The objective here is to predict the work breakdown structure of the 20,000 to 25,000 tasks, including their logical predecessors and successors (logic ties), and automatically schedule them within the upcoming nuclear unit outage Revision ‘B’ schedule.
The Outage AI solution that OPG has deployed focuses on predicting logic ties for tasks that are to be included in the outage window, creating the very first version of the schedule with all tasks populated. This approach ensures reduces manual effort while sufficient oversight contingency is maintained throughout the development of each subsequent nuclear outage schedule revision to mitigate both risk and possible duration extensions.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Leveraging artificial intelligence
The Outage AI solution is a custom-built, cloud-hosted application that integrates seamlessly with the existing IT infrastructure at OPG and leverages elements of AI, machine learning, NLP and intelligent automation. The objective here is to predict the work breakdown structure of the 20,000 to 25,000 tasks, including their logical predecessors and successors (logic ties), and automatically schedule them within the upcoming nuclear unit outage Revision ‘B’ schedule. […]
Read more – www.powerengineeringint.com
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