Remote Plant Design and Onboarding with AR

As research and development centers increasingly focus on implementing scalable industrial solutions on a global scale, it is difficult to ensure that, once new technologies are created and tested in a constrained environment, subject-matter experts can always travel to all the required plant locations.

Remote assistance or collaboration with AR-enhanced local technicians permits subject-matter experts to view a new installation and to support local staff with operation of new technology onsite. Remote experts may advise local users and, where necessary, support specific operational decisions that must be taken rapidly due to the specific site configuration and requirements (e.g. best equipment layout to drive operational efficiency, adjustments due to specific environmental requirements or regulations, etc.).

This research topic seeks to specifically measure time and cost benefits to new site operational readiness, as well as initial operational effectiveness, associated with AR- and non-AR assisted technology commercialization projects.

Stakeholders

This research will provide operational excellence professionals, chief operating officers, safety and risk professionals, and plant managers quantitative information that will permit them to make better decisions about where and how to introduce AR in plants.

Possible Methodologies

The proposed research would need to enroll and engage rural farmers in food-insecure areas, preferably those in which agriculture is practiced in remote or at-risk locations (e.g. retired mine site, etc.). The research would also need to develop or expand and leverage databases of photos for local plant and soil conditions. Rural farmers would need to be onboarded into technology pilots, and potential ecosystem partners (e.g. water providers, fertilizer providers, etc.) would need to be identified. The principal investigator would develop partnerships with a host corporation and community. Research would include IoT data pre- and post- introduction of AR intervention via A/B trial scenarios, potentially with a few different levels of AR intervention. Then researchers would collect data about post-intervention behaviors and crop status. Post-study outcomes could be analyzed and recommendations developed for future implementation.

Research Program

This study could also be extended to explore benefits in the mining industry, when mine sites are retired, as AR could help companies ensure that the communities in the process of transitioning to different revenue sources have the tools that they need to ensure the sustainability of the land post-asset. Additionally the research methods could be extended or support other research programs associated with metals and mining, water preservation, education, policy, upskilling, and sustainability.

Miscellaneous Notes

None

Keywords

Operational readiness, Operational effectiveness, Research and development, R&D, cost effectiveness, cost reduction, industrial research. technology, remote operations,

Research Agenda Categories

Business, End User and User Experience, Use Cases

Expected Impact Timeframe

Near

Related Publications

Using the words in this topic description and Natural Language Processing analysis of publications in the AREA FindAR database, the references below have the highest number of matches with this topic:

More publications can be explored using the AREA FindAR research tool.

Author

Jennifer Rogers

Last Published (yyyy-mm-dd)

2021-08-31

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