Belgorod National University, Belgorod, Russia:

I. M. Ignatenko, Director of the Institute of Earth Sciences, Candidate of Engineering Sciences

VIOGEM Institute, Belgorod, Russia:

E. B. Yanitsky, Deputy Chief Executive Officer of Science and Development, Candidate of Geologo-
Mineralogical Sciences, yanez@geomix.ru
A. V. Konovalov, Researcher

Belgorod National University, Belgorod, Russia¹ ; VIOGEM Institute, Belgorod, Russia²:

V. A. Dunaev^1,2, Professor, Doctor of Geologo-Mineralogical Sciences

In surface and underground minig with blasting, the blasting fragmentation quality and useful component distribution in broken-rock disintegration greatly depend on the reliability of initial data on natural characteristics of rock mass, which are, primarily, joiting and hardness of rock mass. The modern technologies and software essentially improve precision of determination of the mentioned parameters. Using field data from the Zhelezny open pit mine, Kovdorsky Mining and Processing Plant, and their computer-aided processing in GIS GEOMIX system, this article authors have developed the procedure for full-scale study of rock mass jointing in pitwalls and determination of particle size in broken rock mass, including the use of quadrocopter. This procedure provides high-resolutio imaging at long distance from an operator since pitwall is photographed at the close proximity unlike the conventional photographic recording of benches using optical telephotolens. The current version of data processing for characterization of rock mas jointing in pitwals using photometry is imporved; the data on particle size determined in brocken rock disintegration by hand-held measurement and by the image interpretation results using modern programs are compared; amd the new procedure of jointing and particle size determination based on laser scanning of pitwall slope and brocken rock disintegration is proposed. The procedure imporves reliability of the obtained paremeters, eliminates man-and-subject contact and shortens in-situ observation period in hazardous zones in ipen pit mines.

1. Tyupin V. N. Raising the efficiency of blasting in quarries. Proceedings of I International Scientific Conference on Economic Management in Mineral Activities-EMMA 2013. Hanoi,Vietnam, 2013.
2. Dugarstyrenov A. V., Kim S. I., Belchenko E. L., Nikolaev S. P. Drilling-and-blasting design standards for complex-structure rock mass explosion by combination and auxiliary charges. Vzryvnoe delo. 2015. No. 113/70. pp. 142–148.
3. Snitka N. P., Misliboev I. T. Experimental proof of blasthole pattern in pre-blasting weakening zones in open pit mines. Gornyi Zhurnal. 2016. No. 2. pp. 13–15. DOI: 10.17580/gzh.2016.02.02
4. Dunaev V. A., Ignatenko I. M., Ovsyannikov A. N., Godovnikov N. A. Information, analytical and program support to estimate blastability of rocks in open pit mines. Nauchnye vedomosti BGU. Series: Natural Sciences. 2012. Vol. 20, No. 15(1344). pp. 135–140.
5. Meyer F. Color image segmentation. Proceedings of the International Conference on Image Processing and its Applications. 1992. 306 p.
6. Ovsyannikov A. N., Ignatenko I. M., Dunaev V. A. Zoning of open pit mine field by rock blastabilty (in terms of Zhelezny open pie mine of Kovdorsky Mining and Processing Plant. Nauchnye vedomosti BGU. Ser.: Natural Sciences. 2015. Vol. 32, No. 15(212). pp. 172–177.
7. Tyupin V. N. Blasting and geomechanical processes in high-stress jointed rock mass. Belgorod : ID «Belgorod», 2017. 192 p.
8. Ignatenko I. M., Konovalov A. V., Ovsyannikov A. N. Computer technology for drilling-and-blastign design in open pit mines. Chernaya metallurgiya. 2015. No. 10. pp. 35–37.
9. Konovalov A. V., Ignatenko I. M. Software State Registration Certificate No. 2015619330. Drillingand-blasting pattern optimization GIS. Unified Register of Russian Programs for Computrs and Databases. Registered: 31.08.2015.
10. Gomes-Sebastiao G. L., de Graaf W. W. An investigation into the fragmentation of blasted rock at Gomes Sand. Journal of the Southern African Institute of Mining and Metallurgy. 2017. Vol. 117. pp. 321–328.
11. Konovalov A. V., Ignatenko I. M., Agarkov I. B. Software State Registration Certificate No. 2016610687. Automated system of scientific research Cloud 3D. Unified Register of Russian Programs for Computrs and Databases. Registered: 18.01.2016.
12. He K., Gkioxari G., Dollá r P., Girshick R. Mask R-CNN. International Conference on Computer Vision—ICCV, October 22, 2017. URL: https://arxiv.org/abs/1703.06870v3 (accessed: 02.07.2019).
13. Poluhin O. N., Petin A. N., Dunaev V. A., Konovalov A. V. Assessment of the size of rocks in benchs and lumpiness of the blasted mountain mass on pits with use of GIS GEOMIX. International Journal of Pharmacy and Technology. 2016. Vol. 8. No. 4. pp. 26809–6818.