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Название The concept of building a robotic system for monitoring the quality of ores in a natural occurrence
DOI 10.17580/em.2023.01.15
Автор Dosmukhamedov N. K., Lezin A. N., Tuleshov A. K., Tokenov N. M.
Информация об авторе

Satbayev University, Almaty, Kazakhstan:

Dosmukhamedov N. K., Professor, Candidate of Engineering Sciences, nurdos@bk.ru

 

AspapGEO LLP, Almaty, Kazakhstan:

Lezin A. N., Researcher, Candidate of Engineering Sciences
Tokenov N. M., Chief Researcher, Candidate for a Master’s Degree

Institute of Mechanics and Engineering Science named after U.A. Dzholdasbekov, Almaty, Kazakhstan:

Tuleshov A. K., Chief Executive Officer, Professor, Doctor of Engineering Sciences

Реферат

This paper presents the development of an air robotic system for monitoring the quality of ores in natural occurrence based on a specialized EDXRF device installed on a UAV equipped with technical vision. The sampling trajectory is selected using a depth camera. Electronic units were made and the designs of the main blocks of the structural diagram of the device were developed. The results are presented on the development and combination of the excitation and detection unit, as one of the main elements of the domestically produced specialized device (SD), which provides a significant expansion of the range of determined elements, an increase in the detection limit and the reliability of ore sampling in natural occurrence. On the basis of the developed main blocks and electronic components, a block diagram and a model of an energy-dispersive X-ray fluorescent device were developed on a modular basis, providing the necessary flexibility in adapting the device to various analytical tasks and unmanned aerial vehicles. Taking into account the developed technical and structural characteristics of the joint venture, a UAV was selected – a PX4 Vision quadrocopter equipped with technical vision with optimal characteristics. Based on the new developments of the structural scheme of the SD and its combination with the PX4 Vision quadrocopter, a model of an air robotic system for monitoring the quality of ores in natural occurrence was created, which will be used at mining enterprises in Kazakhstan.

Research is being carried out within the framework of grant funding from the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan for 2021-2023 in the priority area “Information, communication and space technologies” of the project AP09260493 “Development of a hardware and software complex of an air robotic system for monitoring the quality of ores in natural occurrence”.

Ключевые слова Ore, natural occurrence, sampling, elemental composition, X-ray fluorescent device, block diagram, robotization, UAV, robotic system
Библиографический список

1. NitonXL5 Plus, ThermoScientific. Available at: https://www.thermofisher.com/NitonXL5Plus (accessed: 26.01.2023).
2. TRACER 5, Bruker. Available at: https://www.bruker.com/hhxrf (accessed: 26.01.2023).
3. Cabanova K., Vlčekc J., Seidlerová J., Matějkad V., Peikertová P. et al. Chemical and phase composition of metallurgical slags and their effects on freshwater green algae. Materials Today: Proceedings. 2018. Vol. 5, Supplement 1. pp. S2–S10.
4. Vourlias G. Application of X-rays Di_raction for Identifying Thin Oxide Surface Layers on Zinc Coatings. Coatings. 2020. Vol. 10, Iss. 10. 1005.
5. Kupczak K., Warchulski R., Dulski M., Srodek D. Chemical and Phase Reactions on the Contact between Refractory Materials and Slags, a Case from the 19th Century Zn-Pb Smelter in Ruda Slaska, Poland. Minerals. 2020. Vol. 10, Iss. 11. 1006.
6. Quintana J. A, Ordonez A., Ordiales E. G., Alvarez R. Surface Microanalysis and Sequential Chemical Extraction as Tools for Reliable Environmental Mobility Assessment of Sb and Other. Metals. Int. J. Environmental Research and Public Health. 2022. Vol. 19, Iss. 15. 9609.
7. Kosyanov P. M. X-ray physical analysis of inorganic substances of complex chemical composition: Monography. Tyumen : TIU, 2016. 195 p.
8. Pantazis T., Pantazis J., Huber A., Redus R. The historical development of the thermoelectrically cooled X-ray detector and its impact on the portable and hand-held XRF industries. X-Ray Spectrometry. 2010. Vol. 39, Iss. 2. pp. 90–97.
9. Li F., Guo W., Gardner R. P. Implementation of the Monte Carlo-library least-squares approach to energy dispersive X-Ray fluorescence analysis. Advances in X-Ray Analysis. 2008. Vol. 50. pp. 227–235.
10. Dosmukhamedov N. K., Lezin A. N. Development of domestic tools for analytical control for the enterprises of mining-metallurgical complex of Kazakhstan. Gornyy zhurnal Kazakhstana. 2011. No. 10. pp. 28–35.
11. Lezin A. N., Dosmukhamedov N. K., Merkulova V. P., Tokenov N. M. Method for sampling ores of minerals deposits. Patent KZ, No. 27145. 2013. Bulletin No. 7.
12. Kan A. N., Abdrahmanova Z. T., Yun R. V., Efimenko S. A. Monitoring of the quality of ores shipped by mines and quarries of the Mining and Processing Plant of Kazakhmys Corporation. Mineral and Raw Materials Complex: Engineering and Economic Solutions: collection of materials of the XVII International scientific-practical conference dedicated to the 100th anniversary of BNTU. Minsk : BNTU, 2020. pp. 92–93.
13. Rylnikova M. V., Klebanov D. A., Makeev M. A., Kadochnikov M. V. Application of artificial intelligence and the future of big data analytics in the mining industry. Gornaya promyshlennost. 2022. No. 3. pp. 89–92.
14. Romanova O. A., Sirotin D. V. Digitalization of production processes in metallurgy: trends and measurement methods. Izvestiya Uralskogo gosudarstvennogo gornogo universiteta. 2021. No. 3(63). pp. 136–148.
15. Ivanov I. N., Belyaev A. M., Belyaev E. D. Trends in production processes digitalization in metallurgy. Stal. 2020. No. 7. pp. 72–75.
16. Baranov A. N., Markov A. P., Smirnov A. A., Tuzov Y. V. Operational elementary analysis of metal-containing natural and technogenic materials. Karotazhnik. 2013. No. 6(228). pp. 53–63.
17. Sechin A. Yu., Drakin M. A., Kiseleva A. S. Unmanned aerial vehicle: application for aerial photography for mapping (part 2). Moscow : Rakurs, 2011. 98 p.
18. UAV Gatewing X100 practical application in geodesy and mine surveying. NovaNet. 2012. Available at: https://www.geosalut.ru/bpla/bpla-gatewing-x100/ (accessed: 26.01.2023).
19. PX4 Vision–Holybro. Available at: http://www.holybro.com/product/px4-vision/ (accessed: 26.01.2023).
20. Padfield G. D. Helicopter Flight Dynamics. UK : Blackwell Publishing, 2007. 635 р.
21. Durrant-Whyte H., Bailey Т. Simultaneous localisation and mapping (SLAM): Part I. The Essential Algorithms. International Journal of Advanced Robotic Systems. 2009. Vol. 6(3). pp. 1–9.
22. Bessonov V. B. Microfocus X-ray tubes. Journal of the Russian Universities. Radioelectronics. 2021. Vol. 24, No. 5. pp. 6–21.
23. Cornaby S., Morris S., Smith J., Reynolds D., Kozaczek K. et al. MOXTEKS new ultra-lite X-ray sources: performace characterizations. Analitica. 2012. No. 5(6). pp. 36–41.
24. Depth cameras – a quiet revolution (when robots see). Part 1. Access mode: Available at: https://habr.com/ru/post/457524/ (accessed: 26.01.2023).

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