Mine.io AI solutions at the MEC 2025 Mineral Engineering Conference
The VIII Mineral Engineering Conference (MEC 2025) took place from September 22-24, 2025 at the Kocierz Resort in Targanice. The conference is a crucial forum for representatives from science and industry involved in the broad field of mineral engineering and recycling.
The event included a plenary session, oral, and poster presentations. In the context of the Mine.io project, a key element was the participation of its representatives in the session dedicated to modern technologies and process digitalization.
Mine.io Project Presentation
Representatives of the Mine.io project consortium had the opportunity to present the results of their scientific research during Session IV: New technologies and process digitalization.
- Paper/Presentation Title: “Artificial intelligence (AI) in monitoring and controlling the flotation process”.
- Authors: Jacek Galas, Dariusz Litwin, Kamil Radziak, Wiesław Małkiński, Marcin Karliński, Adam Czyżewski, Narcyz Błocki (from Łukasiewicz Research Network – Tele- and Radio Research Institute); Michał Kozielski, Dominik Borys (from Łukasiewicz Research Network – Institute of Artificial Intelligence and Cybersecurity); Dariusz Foszcz, Daniel Saramak (from AGH University of Science and Technology); Łukasz Pałka, Marcin Czekajło, Ewelina Kasińska-Pilut, Adam Klinkowski (from KGHM Polska Miedź S.A.).
The presentation, delivered by Mr. Jacek Galas, Mr. Dariusz Foszcz and Mr. Łukasz Pałka, focused on innovative solutions using Artificial Intelligence (AI) and advanced optical technology to optimize the flotation process at one of KGHM Polska Miedź S.A.’s industrial facilities. The flotation process is a critical and highly complex stage in copper ore enrichment, and its efficiency depends on dynamically changing factors.
Overview of AI Solutions
The application of AI is intended to automate control and enable continuous monitoring, leading to measurable benefits such as:
- Reduction of the human factor and minimization of operator errors.
- Increased stability and repeatability of the flotation process.
- Improved concentrate quality.
- Dynamic adjustment of flotation parameters (such as pulp level, amount of air, and reagents) in real-time, based on concentrate quality data provided to the existing automation system.
The paper generated significant interest within the scientific and industrial communities, prompting a broad discussion on the development of AI technology in the context of various issues within the mining process value chain, including preventive maintenance forecasting.
More information about AI technologies in flotation processes researched and tested as part of one of the Mine.io pilot projects can be found here:
A short video from the exhibition event presenting the solution in the Ł-ITR laboratory and reporting on the progress of work on a live object at KGHM can be viewed here:
Mine.io Consortium Partners at the Conference
The Mine.io project is implemented in collaboration with several key partners who were represented at the conference:
- Łukasiewicz Research Network – Tele- and Radio Research Institute (Jacek Galas, Dariusz Litwin)
- AGH University of Science and Technology (Dariusz Foszcz, Daniel Saramak)
- KGHM Polska Miedź S.A. (Łukasz Pałka, Marcin Czekajło, Rafał Kaleta)
Additionally, KGHM Polska Miedź S.A. was the Main Sponsor of the conference.
AGH, Silesian University of Technology (represented by WILIGZ), Wrocław University of Science and Technology, KGHM CUPRUM Research & Development Centre, and Łukasiewicz Research Network – Institute of Non-Ferrous Metals in Gliwicewere also among the Organizers of MEC 2025.
You can find out more about the conference here: https://mecconference.pl/
You can find out more about the Mine.io project here: https://mineio-horizon.eu/
