SciTransfer
MASTERMINE · Project

Digital and Sustainable Transformation Suite for Modern Mining Operations

environmentPilotedTRL 6

Imagine giving a mine a digital brain and a green heart. It uses sensors and AI to predict accidents before they happen and robots to do the dangerous work. It also cleans up the water and waste left behind, turning trash into valuable materials.

By the numbers
11
mines providing access for demonstration
10
different raw materials produced
5
Critical Raw Materials (CRMs) covered
22
consortium partners
The business problem

What needed solving

Mining companies face deeper deposits, stricter environmental regulations, and a loss of social acceptance. They struggle to lower costs while increasing safety and production rates in challenging underground environments.

The solution

What was built

A suite of six digital modules including CYBERMINE (digital backbone), AUTOMINE (autonomous/electric ops), GEOMINE (stability monitoring), GREENMINE (environmental sustainability), METAMINE (mining metaverse/digital twins), and OURMINE (community trust tools).

Audience

Who needs this

Large-scale mining corporationsMining equipment OEMsEnvironmental remediation firmsMine safety consultancy agencies
Business applications

Who can put this to work

Mining
enterprise
Target: Underground Mine Operator

If you are a mine operator dealing with dangerous underground environments and air quality risks — this project developed an intelligent methane drainage control system and real-time air quality digital twins that enable better ventilation and pollutant assessment.

Environmental Services
SME
Target: Water Treatment Specialist

If you are a water treatment company dealing with contaminated mine runoff — this project developed technologies for the recovery of raw materials from mine-impacted water, turning a waste problem into a resource stream.

Industrial Automation
mid-size
Target: Mining Equipment Manufacturer

If you are an equipment maker dealing with the need for electrification in tunnels — this project developed autonomous and semi-autonomous functionalities for electrified scaling machines in GNSS-denied environments.

Frequently asked

Quick answers

What is the cost or pricing for these technologies?

Based on available project data, specific pricing or cost structures for the developed modules are not provided.

Has this been tested at an industrial scale?

Yes, the project is being demonstrated across 5 EU demo cases and one replication demo in South Africa, involving 11 mines producing 10 different raw materials.

How is the IP or licensing handled?

Based on available project data, there is no specific information regarding the licensing models or IP ownership of the developed modules.

How does this integrate with existing mine infrastructure?

The project uses CYBERMINE as a digital backbone to integrate various technologies, including Digital Twins and AI-based predictive maintenance for assets and vehicles.

What is the timeline for deployment?

The project period runs from 2022-12-01 to 2026-11-30, with integration and pilot-scale deployment occurring between months 19 and 36.

Consortium

Who built it

The consortium is heavily industry-driven, with 11 industrial partners (50% of the group) and 8 SMEs, ensuring the tools are built for commercial reality rather than just academic research. With 22 partners across 8 countries, the project has a broad geographic reach, including a strategic replication site in South Africa to validate global applicability.

How to reach the team

Contact Instituto Tecnologico de Aragon in Spain

Next steps

Talk to the team behind this work.

Contact us to connect with the MASTERMINE consortium for pilot implementation.

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