Mining Science and Technology (Russia)
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Activities of the "Mining Science and Technology (Russia)" international journal are aimed at developing international scientific and professional cooperation in the field of mining. Scopus,CAS,GeoRef,Engineering Village,SJR, DOAJ (mst.misis.ru)
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The correct answer is "computer vision"!

Computer vision is a branch of artificial intelligence that allows computers to recognize images. It analyzes common features and combinations in images, and then identifies similar objects. Computer vision is used in various fields, including medicine, education, industry and technology. In industry, there is a term called "machine vision" that describes the systems and technologies used for industrial automation.

πŸ”₯Examples of the use of machine vision in mining can be found on the pages of the journal "Mining Science and Technology" (Russia).πŸ”₯

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Feeder performance: measurement and analysis using machine vision

The technology for extracting and discharging coal from an underroof seam uses the so-called gravitational extraction method in which coal is extracted and discharged from under the roof by gravity. In this process, coal can be discharged onto the main conveyor (face conveyor, located in the supported area), central conveyor (rear conveyor in Western literature), and tail conveyor (discharge conveyor, located in the unsupported area). As part of the research, a method was developed to measure the performance of a motorised plate feeder that supplies coal from the outlet port of a roof support to a conveyor during extraction of thick seams, with discharge onto a face conveyor. Volume measurement algorithms using machine vision technology were tested. Laboratory studies were carried out to estimate the relative errors of the methods.

For more information, see the article in the journal "Mining Science and Technology" (Russia):
Nikitenko M. S., Kizilov S. A., Zakharov Yu. N. et al. Measurement of feeder performance during coal discharge from an underroof seam using machine vision. Mining Science and Technology (Russia). 2022;7(4):264–273. https://doi.org/10.17073/2500-0632-2022-09-22

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How to improve mine planning efficiency by 20 times?

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

πŸ’‘ Core Technology:
A hybrid algorithm combining:
β†’ Parametric analysis of pit limits;
β†’ Integer programming;
β†’ Strategic decision variable fixation.

πŸ“ˆ Key Advantages:
βœ”οΈ 95% faster calculations (from 8 hours β†’ 24 minutes!);
βœ”οΈ Handles complex deposits with millions of blocks;
βœ”οΈ Generates alternative extraction scenarios;
βœ”οΈ Maintains 97-99% economic efficiency.

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

For more information, see the article:

πŸ“Œ Hasozdemir K., ErΓ§elebi 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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#InEnglish #MST #Mining #Optimization #OpenPit #IntegerProgramming #MiningTech #Innovation #Geology #ResourceManagement #Efficiency #Algorithms #DigitalMining #AI #SustainableMining #DataScience #IndustrialOptimization
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