Descripción del proyecto
Tecnologías de observación de la Tierra para la exploración minera y la supervisión de yacimientos
Los datos de observación de la Tierra (OT) pueden ayudar en las actividades de exploración y extracción de minerales. El equipo del proyecto MultiMiner, financiado con fondos europeos, desarrollará algoritmos innovadores para el tratamiento de datos basados en el aprendizaje automático, con el fin de utilizar de forma rentable las tecnologías de OT en la exploración minera y la supervisión de yacimientos. De este modo, se desbloqueará el potencial de los datos de OT, entre los que se incluyen Copernicus, los satélites comerciales, las futuras misiones, los datos transmitidos por el aire y de baja altitud y los datos «in situ». El proyecto se centrará en novedosas tecnologías de exploración de materias primas esenciales basadas en la OT a fin de aumentar la probabilidad de encontrar nuevas fuentes dentro de la Unión Europea, con lo que se reforzará su autonomía en el sector de las materias primas. En MultiMiner se crearán soluciones genéricas y muy innovadoras de aprendizaje automático con un impacto medioambiental extremadamente bajo para respaldar la totalidad del ciclo de vida de la minería.
Objetivo
The Multi-source and Multi-scale Earth observation and Novel Machine Learning Methods for Mineral Exploration and Mine Site Monitoring (MultiMiner) project develops novel data processing algorithms for cost-effective utilization of Earth Observation (EO) technologies for mineral exploration and mine site monitoring. MultiMiner unlocks the potential of EO data, including Copernicus, commercial satellites, upcoming missions, airborne and low altitude as well as in situ data, to support the entire mining life cycle including mineral exploration, operational, closure and post-closure stages. This is achieved by creating generic but highly innovative machine learning solutions which do not require any or only little ground truth data. The project focuses on new EO based exploration technologies for critical raw materials (CRM) to increase the probability of finding new sources within EU thereby strengthening the EU autonomy in the area of raw materials. MultiMiner EO based exploration solutions have extremely low environmental impact, and are thus socially acceptable, economically efficient and improve safety. The project’s solutions for mine site monitoring increase the transparency of mining operations as environmental impacts can be detected as early as possible and digital information of the currently unexploitable raw materials can be stored for future generations. The applicability of the developed algorithms is demonstrated in 4 European test sites. MultiMiner is a pan-European consortium consisting of 12 partners and 1 associated partner from research institutes, academia, consulting businesses and mining industry with interdisciplinary backgrounds in geology, remote sensing and machine learning. The members come from six EU member states which represent mining regions across Europe with diverse geology with evident potential for various types of CRM resources and thousands of operational and closed mines.
Ámbito científico
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyenvironmental engineeringmining and mineral processing
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesearth and related environmental sciencesgeology
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2022-RESILIENCE-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
02151 Espoo
Finlandia