The Goldeneye i.e. ‘Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations’ project implements a unique combination of remote sensing and positioning technologies, exploiting Earth observation and Earth GNSS data, together with data fusion and processing powered by data analytics and machine-learning algorithms. The aim of this paper is to evaluate the impact provided seven techniques and methods for the five mine sites in the project Goldeneye. The emphasis is to analyze and reflect, how and with what focus areas developed analytical capabilities meet the needs of different mine sites that were collaborated in the project in piloting and testing. The results show that the outcomes of this R&D project hold immense significance for the mining industry, as they contribute to its transformation, digitalization, and twin transition. This contribution is realized through the broad adoption of sensing and AI-based applications, solutions, and services within the mining industry. This benefits not only the companies directly involved but also the entire value chain, related industries, and contributes to the EU-level and national goals in the mining sector.
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Ismo Ruohomäki
Marko Paavola
Kamen Bogdanov
Geological Society London Special Publications
VTT Technical Research Centre of Finland
Sofia University "St. Kliment Ohridski"
Community Options (United States)
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Ruohomäki et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69d893406c1944d70ce0438d — DOI: https://doi.org/10.1144/gslspecpub2024-126