AI Factory for Mining
| Reference number | |
| Coordinator | Luleå tekniska universitet - Avd Drift och Underhållsteknik |
| Funding from Vinnova | SEK 600 000 |
| Project duration | March 2021 - November 2021 |
| Status | Completed |
| Venture | Strategic innovation programme for process industrial IT and automation – PiiA |
| Call | PiiA: Data analysis in industrial value chains, autumn 2020 |
Important results from the project
The ongoing digitalisation and implementation of Artificial Intelligence (AI) technologies in mining industry is highly dependent on availability and accessibility of data for a geographically distributed system. AI Factory for Mining (AIF/M) aims to facilitate this by providing a platform for data and model sharing.
Expected long term effects
The outcomes from the feasibility study, i.e. 23 identified use cases, 1 demonstrator, and a roadmap for the further development and implementation, are aligned with the overall goal of the project. These results clearly show the relevance of the concept of AIF/M. It can be concluded that the Phase I of the project has successfully achieved the overall project objective, and beyond that. The roadmap from the Phase I of AIF/M strengthens the relevance of AIF/M for the mining sector and provides a handrail to the future!
Approach and implementation
The research methodology applied in the project has mainly be based on literature study, structured and semi-structured interviews, workshops, and demonstrator development. For the need-identification related to individual use case a so called As-Is/To-Be analysis has been conducted. Due to the ongoing pandemic, Covid-19, a fully digital approach and platform for collaboration and cooperation has been used during the execution of the project.