Improvement of methodical framework for autonomous scheduling of mining operations during underground mine design and planning

In the modern world, digitalization is becoming a determining factor of success in the competitiveness of mining enterprises. This is primarily due to the need to constantly increase their productivity and increase operational superiority. It is obvious that modern computer technologies can open up a whole range of new opportunities for achieving the goals of digitalization mining production. World-renowned mining companies are investing heavily in the application and development of their IT infrastructure and the latest technologies in order to increase production automation, transition to unpopulated mining and reduce costs. One of the most promising areas is the use of computer technologies for scheduling mining operations. The algorithm for computer-aided design of the mining development schedule in GGIS is proposed, and the principles of its formation are described in this article. It is shown that the application of this algorithm allows you to get a dynamic calendar plan for the development of mining operations and planning reports in automatic mode, taking into account the necessary quantitative and qualitative characteristics. Also, by authors the necessity of developing an expert system to improve the quality of determining promising areas of mining development is justified and its structure is formed. This expert system is based on the rules necessary for setting the optimal order of mining excavation chambers, preparatory workings, security pillars and other objects that are necessary for drawing up a calendar plan for the development of mining operations. It is also based on the idea to record, formalize and use the knowledge and skills of a group experts from the geological, technical and surveying services of a mining enterprise.

Keywords: ore deposit, frameworks design of technological units, forecasting and estimation of reserves, mining and geological information systems, design of the mining development schedule, data reliability, design decision making, 3D-modeling, expert system for mining development’s determining promising areas.
For citation:

Stadnik D.A., Gabaraev O.Z., Stadnik N.M., Tedeev A.M. Improvement of methodical framework for autonomous scheduling of mining operations during underground mine design and planning. MIAB. Mining Inf. Anal. Bull. 2020;(11-1):189-201. [In Russ]. DOI: 10.25018/0236-14932020-111-0-189-201.

Issue number: 11
Year: 2020
Page number: 189-201
ISBN: 0236-1493
UDK: 622.014.2:622.272
DOI: 10.25018/0236-1493-2020-111-0-189-201
Article receipt date: 02.07.2020
Date of review receipt: 04.09.2020
Date of the editorial board′s decision on the article′s publishing: 10.10.2020
About authors:

Stadnik D.A.1, Dr. Sci. (Eng.), professor of mining Department;
Gabaraev O.Z.1, Dr. Sci. (Eng.), professor, head of the mining Department;
Stadnik N.M.1, Cand. Sci. (Eng.), associate professor of mining Department;
Tedeev A.M.1, 6th level student;
North Caucasian Mining and Metallurgical Institute (State Technological University), 362021, Vladikavkaz, Russia.


For contacts:

1. Petitjean, F. Skopus: Mining top-k sequential patterns under leverage / F. Petitjean, T. Li, N. Tatti, G.I. Webb. Data Mining and Knowledge Discovery. 2016. no. 5. T. 30. pp. 1086—1111.

2. Wang, H.H. Underground mine planning optimization process to improve values and reduce risks / H.H. Wang. Mining Goes Digital Proceedings of the 39th international symposium on Application of Computers and Operations Research in the Mineral Industry (APCOM). 2019. P. 335—343.

3. Burchakov A.S., Malkin A.S., Eremeev V.M., i dr. Proektirovanie predpriyatij s podzemnym sposobom dobychi poleznyh iskopaemyh. Spravochnik [Design of enterprises with underground mining method. Handbook]. Moscow: Nedra, 1991. 399 p. [In Russ]

4. Golik V.I., Razorenov Yu.I., Karginov K.G. Basis of sustainable development of the RSOAlania-mining industry. Sustainable Development of Mountain Territories. 2017. no. 2. T. 9. pp. 163—171. [In Russ]

5. Drebenshtedt K., Golik V.I., Dmitrak Yu.V. Prospects for diversification of metal mining technology in the RSO-Alania. Sustainable Development of Mountain Territories. 2018. no. 1. T. 10. pp. 125—131. [In Russ]

6. Gilani, S.O. A stochastic particle swarm based model for long term production planning of open pit mines considering the geological uncertainty / S.O. Gilani, J. Sattarvand, M. Hajihassani, S.S. Abdullah. Resources Policy. 2020. T. 68. p. 101738.

7. Groshong, R.H. 3-D structural geology: A practical guide to quantitative surface and subsurface map interpretation / R.H. Groshong. Springer Berlin Heidelberg, 2006. 400 p.

8. Kuznecov Yu.N., Stadnik D.A., Stadnik N.M., Kurcev B.V. Automated recognition of geostructures of reservoir deposits. Gornyj zhurnal. 2016. no. 2. pp. 86—91. [In Russ]

9. Arhipov G.I. Osnovy nedropol’zovaniya [Fundamentals of subsoil use]. Habarovsk: Izd-vo «RIOTIP» kraevoj tipografii, 2008. 356 p. [In Russ]

10. Kuznecov Yu.N., Stadnik D.A., Monastyrev N.N. Basic scientific and methodological principles of decision tree formation in the framework of the computer-aided design of coal mines. Gornaya promyshlennost’. 2017. no. 6 (136). pp. 84—85. [In Russ]

11. Grahov, V.P. Sovershenstvovanie organizacii proektnyh rabot putem vnedreniya tekhnologij informacionnogo modelirovaniya zdanij. Sovremennye problemy nauki i obrazovaniya [Elektronnyj resurs]. Rezhim dostupa: view?id=18202 (data obrashcheniya: 26.02.2017). [In Russ]

12. Klyuev R.V., Bosikov I.I., Egorova E.V., Gavrina O.A. Assessment of mining and geological and technical conditions of the Severny quarry using mathematical models. Sustainable Development of Mountain Territories. 2020. no. 3. pp. 418—427. [In Russ]

13. Stadnik D.A. Basic methodological principles of synthesis of predictive models of mining systems in the implementation of a unified industry-wide system of computer-aided design of coal mines. Open-pit mining in the 21st century-2. Otdel’nye stat’i (vyp. 38). MIAB. Mining Inf. Anal. Bull. 2017. no. 12. pp. 222—228 [In Russ]

14. Stadnik N.M. Basic methodological principles of forming an integrated geoinformation base for forecasting and evaluating coal deposits reserves. Gornaya promyshlennost’. 2016. no. 3(127). pp. 73—76. [In Russ]

15. Gabaraev O.Z., Dmitrak Yu.V., Drebenshtedt K., Savelkov V.I. Regularities of interaction of destroyed geomaterials and ore-containing massif during mining of interspersed ores. Sustainable Development of Mountain Territories. 2017. no. 4. T. 9. pp. 406—413. [In Russ]

16. Kopylov A.S. Increasing the stability of exhaust funnels when changing the fractional composition of the produced ore. Sustainable Development of Mountain Territories. 2019. no. 4. T. 11. pp. 535—546. [In Russ]

17. Gorno-geologicheskaya informacionnaya sistema Micromine [Elektronnyj resurs]. Rezhim dostupa: (data obrashcheniya: 01.04.2020.

18. Jamieson G.A. Model-Based approaches to Human-Automation Systems Design. Proceedings of 11th Biennial Conference on Engineering Systems Design and Analysis (asme Esda 2012) [Elektronnyj resurs]. Rezhim dostupa: http://www.forskningsdatabasen. dk/en/catalog/2282406415 (data obrashcheniya: 22.08.2017).

19. Stadnik D.A. Justification of functional subsystems of the unified industry system of computer-aided design of coal mines. Ugol’. 2017. no. 10(1099). pp. 52—56. [In Russ]

20. Miheev O.V., Zhezhelevskij Yu.A. Metody inzhenernogo proektirovaniya [Methods of engineering design]: ucheb. posobie. Moscow: MGI, 1985. 68 p. [In Russ]

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.