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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Is it possible to improve the quality of planning for open-pit mines?

Open-pit mine production scheduling (OPMPS) includes determining which blocks, within the final pit limit, should be mined each year and where the blocks should be transported, such as to a mill, trash dump, or stockpile, in order to maximize net present value (NPV). Long-term production planning for open-pit mine operations plays a key role in the assessment of mining projects. An important contribution in this field is presented in paper, wherein an algorithm developed that utilizes graph theory and dynamic programming to identify the ultimate pit limit that maximizes revenue. Furthermore, it is necessary to take into account various operational limitations when addressing this scheduling problem. The research, the results of which are presented on the pages of the journal "Mining Science and Technology", has shown that the use of alternative algorithms for calculating the block model of a quarry will improve the quality of field development planning.

For more information, see the article:

📌 Hasozdemir K., Erçelebi S. Enhancing the performance of integer models for addressing the long-term production planning problem in open pit mines by decision variable fixation based on parametric analysis of the final pit limit. Mining Science and Technology (Russia). 2024;9(2):74-84. https://doi.org/10.17073/2500-0632-2023-09-156

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How can the efficiency of flotation processing of complex ores be improved?

Flotation beneficiation plays a leading role in the processing most ores. The efficiency of this process is ensured by the correct selection of operating modes, which involves choosing the most selective reagents and determining their optimal consumption. The conducted research, presented in the journal Mining Science and Technology, allowed to find a new methodological approach to the study of ore flotation beneficiation using ionometry methods. The data obtained from ion-selective sensors significantly deepen our insight into the transformations occurring during the flotation process and allow for consideration of possible adverse factors that hinder effective process progression. A universal flowchart for flotation studies with ion-selective sensors has been developed, facilitating the application of this approach to various ores. The implementation of the results from this comparative analysis has led to a 7.8% increase in beneficiation efficiency while reducing reagent consumption. Additionally, the insights gained into the electrochemical processes occurring allowed for assumptions about the adverse factors affecting flotation outcomes. In conclusion, a model for the potential application of this approach at existing enterprises was proposed, including the implementation of an “intelligent assistant” for flotation operators based on the developed electrochemical models.

For more information, see the article:

📌 Yakovleva T.A., Romashev A.O., Mashevsky G.N. Enhancing flotation beneficiation efficiency of complex ores using ionometry methods. Mining Science and Technology (Russia). 2024;9(2):146-157. https://doi.org/10.17073/2500-0632-2023-08-145

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How to Optimize Ventilation in Mines Using Diesel Equipment?

🔹 Problem: Modern mines utilize high-power diesel equipment, significantly increasing ventilation load. Traditional airflow calculation methods overestimate requirements by 50%, leading to substantial costs.

🔹 Solution: Researchers developed a novel methodology based on field measurements of actual emissions and numerical simulation. This enables precise determination of airflow needed to dilute harmful substances to safe concentrations.

🔹 Key Results:
✅ Reduced ventilation costs through accurate emission accounting
✅ Optimized air distribution in mine workings
✅ 3.5× decrease in CO and NO₂ concentrations with proper ventilation

For more information, see the article:

📌 Senatorov V.A. Determining airflow requirements in mine workings based on field measurements of actual emissions from internal combustion engine equipment. Mining Science and Technology (Russia). 2024;9(1):53-59. https://doi.org/10.17073/2500-0632-2024-01-203

💡 Conclusion: Innovative calculation methods represent a breakthrough in cost efficiency and environmental safety for mining operations!

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How to improve mine planning efficiency by 20 times?

🔍 Breakthrough in mining: scientists have developed an innovative approach for open-pit mineral deposit planning!

💡 Core Technology:
A hybrid algorithm combining:
→ Parametric analysis of pit limits;
→ Integer programming;
→ Strategic decision variable fixation.

📈 Key Advantages:
✔️ 95% faster calculations (from 8 hours → 24 minutes!);
✔️ Handles complex deposits with millions of blocks;
✔️ Generates alternative extraction scenarios;
✔️ Maintains 97-99% economic efficiency.

🌍 Practical Applications:
• Large-scale open pits;
• Deposits with challenging geology;
• Rapid plan adjustments to market changes.

For more information, see the article:

📌 Hasozdemir K., Erçelebi S. Enhancing the performance of integer models for addressing the long-term production planning problem in open pit mines by decision variable fixation based on parametric analysis of the final pit limit. Mining Science and Technology (Russia). 2024;9(2):74-84. https://doi.org/10.17073/2500-0632-2023-09-156

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💥 How does the detonation velocity of explosives affect rock fracturing?

In quarries for building stone extraction, up to 30% of the rock turns into fines after blasting and crushing, reducing economic efficiency. One of the key factors is the prefracture zones formed during explosive detonation.

🔬 What was studied?

1️⃣ Explosive detonation velocity (ranging from 2 to 5.2 km/s).
2️⃣ Stresses in the rock mass during blasting.
3️⃣ Microfracturing using X-ray microtomography.

📊 Results:

✔️ The size of the prefracture zone increases from 33R to 77R (where R is the charge radius) as detonation velocity rises.
✔️ Microfracture density (N) depends on the distance from the charge:
• Near zone (10R): from 5,000 to 13,800 pcs/cm³ (exponential growth).
• Far zone (70R): from 0 to 200 pcs/cm³ (linear growth).

💡 Practical conclusions:

➡️ Using explosives with reduced detonation velocity minimizes prefracture zones and decreases fines yield.
➡️ Optimizing blasting parameters allows controlled rock fragmentation and increases the output of marketable fractions.

For more information, see the article:

📌 Khokhlov S.V., Vinogradov Yu.I., Makkoev V.A., Abiyev Z.A. Effect of explosive detonation velocity on the degree of rock pre-fracturing during blasting. Mining Science and Technology (Russia). 2024;9(2):85-96. https://doi.org/10.17073/2500-0632-2023-11-177

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We present the articles of the first issue of scientific journal "Mining Science and Technology" (Russia) for 2025:

Scientists have analyzed energy efficiency of mining operations, focusing on ventilation fans and hoisting machines as the most energy-intensive equipment. The study examines main ventilation fans and hoisting systems at Molibden mine, proposing optimization measures to improve efficiency and reduce costs. Research methods included analytical approaches for ventilation system evaluation. Findings show inefficient fan operation with excessive energy use, suggesting motor replacement could save 4.9 million rubles annually. Analysis of hoisting equipment recommends modern multi-rope systems for better performance. Data reveals inverse correlation between productivity and energy use - 10–15% output increase reduces energy consumption by 2–5%. Implementing automated controls and optimizing equipment utilization can significantly enhance efficiency. These results are applicable to other deep mining operations.

For more information, see the article:

📌 Klyuev R.V. Assessment of energy efficiency improvement strategies for ventilation and hoisting systems during the reconstruction of the Molibden mine. Mining Science and Technology (Russia). 2025;10(1):84–94. https://doi.org/10.17073/2500-0632-2024-10-362

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How to enhance flotation efficiency of complex ores using electrochemistry?

A new study proposes an innovative approach to flotation beneficiation based on direct potentiometry methods. Researchers have demonstrated that monitoring the electrochemical parameters of pulp can increase process efficiency by 7.8% while reducing reagent consumption!

🔹 Key Findings:
1. Electrochemical monitoring using ion-selective sensors (pH, Ag₂S, Pt) enables real-time determination of optimal reagent dosages.
2. Maintaining the Ag₂S electrode potential at -450 mV increased copper recovery in the concentrate to 83.1% (compared to 75.8% with conventional methods).
3. Reduced research time through automated pulp analysis and elimination of labor-intensive experiments.
4. Potential for AI integration to develop a "digital assistant" for flotation operators, capable of adapting to changes in ore composition.

🔗 Read the full article:
Yakovleva T.A., Romashev A.O., Mashevsky G.N. Enhancing flotation beneficiation efficiency of complex ores using ionometry methods. Mining Science and Technology (Russia). 2024;9(2):146-157. https://doi.org/10.17073/2500-0632-2023-08-145

💬 Which technologies do you think hold the most promise for automating mineral processing? Share your thoughts in the comments!

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We present the articles of the second issue of scientific journal "Mining Science and Technology" (Russia) for 2025:

Scientists have proposed a new approach to calculating the optimal width of a dredge front bank, which reduces the cost of placer deposit mining. The study demonstrates that existing methods, focused solely on maximizing dredge productivity, fail to minimize costs when the depth of the placer and overburden thickness increase. The authors developed a methodology for determining the front bank width that accounts not only for dredge performance but also for stripping costs and the extraction of valuable components. The research analyzed the influence of placer parameters (peat thickness, productive layer thickness, front bank width) on economic efficiency, evaluated over 100 process flow sheets for equipment operation, and provided their economic assessment. The results include recommended correction factors for calculating the optimal front bank width, serving as a methodological foundation for designing dredge mining systems.

For details, see the article in Mining Science and Technology:

📌 Talgamer B.L., Meshkov I.A., Murzin N.V., Roslavtseva Yu.G. Justification of the optimal width of a front bank. Mining Science and Technology (Russia). 2025;10(2):99-108. https://doi.org/10.17073/2500-0632-2024-11-332

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