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PROJECT INNOVAMINA

Digital Innovations in Mining

Project characteristics:

Barscode

Dossier number:

25214

Euro

Budget:

~3.000.000 €

Calendar

Calendar:

2026-2028

File

Program:

EIT Raw Materials

Funding

Funding:

EIT Kava 13 Upscaling

Area

Area:

Infrastructure

Activity

Activity:

Surveillance, Security, and Protection

Web site

Web:

https://innovamina.eu/

Summary:

InnovaMina (Digital Innovations in Mining) is a European research and innovation project funded by EIT Raw Materials (a European Union body) with a budget of approximately 3 million euros. The project brings together a consortium of six partners from industry and academia across Europe (coordinated by Worldsensing).

The project aims to transform monitoring in the mining industry, shifting from a reactive to a proactive approach through the integration of smart optical sensors, predictive data analytics, and artificial intelligence.

The technologies developed are validated under real-world conditions at mining sites to monitor structural stability on slopes and in waste rock dumps or tailings storage facilities, with the goal of predicting failures before they occur. To this end, the project is deploying three complementary products:

  1. P1 — IoT Sensing (IoT-based Diffractometry): Continuous, real-time detection of structural movements using distributed optical sensors.
  2. P2 — AI Analytics (Anomaly Detection Module): Machine learning analytics to identify anomalous conditions in the infrastructure and ensure the integrity of the sensor network.
  3. P3 — Fiber-Optic (Fiber-Optic Shear Wave Mapping): Early warning system to detect subsurface anomalies through shear wave velocity mapping.

General objective:

The overall objective of InnovaMina is to develop, integrate, and validate advanced, non-invasive digital monitoring technologies and methodologies to enhance safety, operational efficiency, and sustainability in the mining sector.

Aragon Photonics’ specific objective within the InnovaMina project is to develop, integrate, and validate DAS technology for continuous digital monitoring in tailings piles and mines to improve safety, operational efficiency, and sustainability in the mining sector.

Consortium:

Worldsensing

Project coordinator and business developer. Overseeing IoT and cloud platform integration.

Technical University of Braunschweig

Quantum Optics Metrology Research Group. IoT-based diffractometry for continuous, real-time detection of structural movements.

Universidad Politécnica de Cataluña

Research Group on Mathematical and Computational Modeling (LaCàN). Data analysis and machine learning models.

Minerali Industriali

Leading Italian group in industrial minerals: sands, feldspars, clays, and kaolin. Pilot mine for field validation.

Funders:

Products

  • HDAS
  • PDAS
  • BLAST

Industries

  • Seismic Activity
  • Security
  • Power Cables
  • Railway
  • Water
  • Highway

Company

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Aragón Potonics
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