Beyond Mining's news

The British Government in Brazil supported a partnership between Beyond Mining and Imperial College London (ICL), considered one of the top ten universities in the world
Consulado britânico

AI and the mining industry
O Estado de São Paulo

Beyond Mining's project portfolio about AI and machine learning in the mining industry
In the mine

Beyond Mining's artificial intelligence and urban slope stability
Defesa Civil - MG

Samarco iron ore flotation optimized by GAIA
Samarco

AngloGold uses AI to automate rock fragmentation and increase safety in Minas Gerais
Notícias de Mineração

Beyond Mining's R&D

Statistical analysis of blast-induced vibration near an open pit mine

Open-pit mining can cause vibrations that damage nearby structures and disturb sorrounding residents. This study uses statistics to predict vibration levels and their possible impacts. We monitored 10 detonations in a large iron ore mine near a village and collected 158 measurements. We classified the vibration data into three levels based on legal standards and used cluster analysis and principal component analysis (PCA) to better understand the data. Our results show that multivariate statistics can effectively manage the vibrations caused by detonations, suggesting that automation could further improve this process.

Applied multivariate analisys for FeO prediction

This study explores the iron ore sintering process at a pilot plant scale to predict the final FeO content in the sinter. By analyzing data from about 300 tests with different ore mixtures, a model was developed using multivariate analysis and machine learning. The model achieved an R² greater than 0.92, demonstrating its high reliability.

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