Artificial intelligence technologies for predicting dust emissions from mines
PM2.5 in OPCMs is a serious occupational hazard to miners’ health. It can cause respiratory, lung, cardiovascular, and cancer diseases. Historical reports indicate that increasing air PM2.5 pollution concentration by 10 μg/m 3 results in an increase in lung cancer rate by 36 %. Meanwhile, OPCM PM2.5 emissions measured in this study ranged 10 to 90 μg/m 3. These are really hazardous levels for the health of miners. Therefore, accurate air PM 2.5 pollution prediction is of crucial importance in terms of occupational health and selecting solutions to reduce OPCM PM2.5 pollution. Researchers proposed the novel HGS-FLNN model for predicting PM 2.5 pollution in OPCMs with an average accuracy of 94–95 %.
For more information, see the article in the journal of Mining Science and Technology (Russia):
📌 Bui X.-N., Nguyen H., Le Q.-T., Le T.N. Forecasting PM2.5 emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms. Mining Science and Technology (Russia). 2022;7(2):111-125. https://doi.org/10.17073/2500-0632-2022-2-111-125
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👉t.iss.one/MinSciTech👈
#inenglish #MST #open_pit #coal #mine #air_pollution #dust #neural_network #optimization #CocSau #QuangNinh #Vietnam
PM2.5 in OPCMs is a serious occupational hazard to miners’ health. It can cause respiratory, lung, cardiovascular, and cancer diseases. Historical reports indicate that increasing air PM2.5 pollution concentration by 10 μg/m 3 results in an increase in lung cancer rate by 36 %. Meanwhile, OPCM PM2.5 emissions measured in this study ranged 10 to 90 μg/m 3. These are really hazardous levels for the health of miners. Therefore, accurate air PM 2.5 pollution prediction is of crucial importance in terms of occupational health and selecting solutions to reduce OPCM PM2.5 pollution. Researchers proposed the novel HGS-FLNN model for predicting PM 2.5 pollution in OPCMs with an average accuracy of 94–95 %.
For more information, see the article in the journal of Mining Science and Technology (Russia):
📌 Bui X.-N., Nguyen H., Le Q.-T., Le T.N. Forecasting PM2.5 emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms. Mining Science and Technology (Russia). 2022;7(2):111-125. https://doi.org/10.17073/2500-0632-2022-2-111-125
Subscribe to the journal's Telegram channel:
👉t.iss.one/MinSciTech👈
#inenglish #MST #open_pit #coal #mine #air_pollution #dust #neural_network #optimization #CocSau #QuangNinh #Vietnam
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