Imagine having a complete digital copy of a mine on your computer that updates in real-time. It's like using a flight simulator for a whole mining site, allowing managers to test electric vehicles and robots before deploying them. This helps keep workers safe and reduces the environmental footprint of digging for minerals.
Mining companies struggle with inefficient data silos, high carbon footprints from diesel vehicles, and safety risks for underground workers.
A cloud-based digital twin architecture and a unified data infrastructure for mining operations from exploration to waste management.
If you are an enterprise dealing with high operational costs and safety risks — this project developed a cloud-based digital twin that optimizes asset performance and introduces autonomous electric vehicles to improve air quality and productivity.
If you are an SME dealing with the complex cleanup of old sites — this project developed a digital ecosystem that manages post-mining activity and waste management to ensure a circular economy.
If you are a mid-size company dealing with fragmented data from machinery — this project developed a unified data infrastructure and cyber-physical systems that allow for predictive analytics and robotization of production.
Based on available project data, specific pricing or commercial costs are not disclosed, as the project is funded by an EU contribution of EUR 11,999,256.
The solution is being validated across 4 operational mine facilities and 2 historic mine sites located in 5 EU countries.
Based on available project data, the specific IP and licensing agreements are not detailed, though the project emphasizes an open cooperation and sharing ecosystem.
It uses a cloud environment and cyber-physical systems to connect the 'shop floor' with a digital twin, enabling data exchange across the entire value chain.
The project period runs from 2023-01-01 to 2026-06-30.
The consortium is heavily weighted toward industrial application, with 12 industry partners (43% ratio) and 7 SMEs, balanced by 16 academic and research entities. This structure suggests a strong focus on commercial viability and practical implementation across 12 different countries, led by an Italian SME-led entity (GFT Italia).
Contact GFT ITALIA SRL regarding the Mine.io cloud architecture
Contact us to connect with the Mine.io consortium for pilot opportunities.
