GAIA | vibrations
GAIA | vibrations
In this brief conversation with the Mining Podcast channel, Paulo shares more details about GAIA | Vibrations.
Beyond Mining 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
AngloGold uses AI to automate rock fragmentation and increase safety in Minas Gerais
Notícias de Mineração
Beyond Mining's R&D
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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