Golden AI Data Acquisition and Processing Platform for Safe, Sustainable and Cost-Efficient Mining Operations

Jari Havisto, Taras Matselyukh, Marko Paavola, Sanna Uusitalo, Marko Savolainen, Alfonso Sobrecueva González, Andreas Knobloch, Kamen Bogdanov

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Improved use of Earth observation, sensor and positioning data can offer additional exploitation and environmental control and increase the productivity of mines. The EU-funded Goldeneye project develops a Golden AI platform to allow satellites, drones and in situ sensors to collect high-resolution data from an entire mine. This data will be processed and converted into actionable intelligence in new tools offering improved safety, environmental observation, exploitation and increased extraction in pilot mines. The project will combine remote sensing and positioning technologies to take advantage of Earth observation and Earth GNSS data together with data fusion and processing powered by data analytics and machine learning algorithms. The benefits of Golden AI platform will be demonstrated in mining pilots in Bulgaria, Finland, Germany, Kosovo and Romania.
Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages5775-5778
Number of pages4
ISBN (Electronic)978-1-6654-0369-6, 978-1-6654-0368-9
ISBN (Print)978-1-6654-4762-1
DOIs
Publication statusPublished - 16 Jul 2021
MoE publication typeA4 Article in a conference publication
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium, Brussels, Belgium
Duration: 11 Jul 202116 Jul 2021

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period11/07/2116/07/21

Keywords

  • Earth
  • Productivity
  • Satellites
  • Europe
  • Tools
  • Raw materials
  • Sensors

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