Acquisition, transmission and storage of information on production-induced cycle in mining and metallurgy: Outlines

The paper deals with the problem of improving the quality of information support of the decision support system for man-made manifestations of the functioning of a mining and metallurgical enterprise, since there are the following disadvantages: • lack of information about the technogenic cycles of technological processes of the enterprise; • lack of ranking according to the importance of technogenic factors; • incomplete provision of a real-time mode when monitoring a technogenic situation; • ineffectiveness of using the system for filling servers with system information. In accordance with the problem under consideration, the goals and objectives of the study were determined: elimination of the main shortcomings of the existing information support and increasing the efficiency of the information system for decision-making support for the technogenic cycles of an industrial enterprise. As a result of the research, a mathematical model was proposed and analyzed for optimizing the distribution of incoming information flows, taking into account the capacity of servers and the possibility of processing information in real time. A good convergence of the results of the computer simulation implemented by the authors with the actual monitoring data of ROSSTAT was shown. The application of the results of the conducted research will improve the quality of information support of decision support systems for man-made manifestations of the functioning of a mining and metallurgical enterprise, which in turn will allow timely development and implementation of recommendations to reduce the harmful influence of manmade factors accompanying the technological processes of the enterprise.

Keywords: information system, mathematical model, information analysis, information processing, industrial object, information channel, application flow.
For citation:

Petrov Yu.S., Khadzaragova E.A., Sokolov A.A., Sharipzyanova G.Kh., Taskin A.V. Acquisition, transmission and storage of information on production-induced cycle in mining and metallurgy: Outlines. MIAB. Mining Inf. Anal. Bull. 2020;(11-1):178-188. [In Russ]. DOI: 10.25018/0236-1493-2020-111-0-178-188.

Acknowledgements:
Issue number: 11
Year: 2020
Page number: 178-188
ISBN: 0236-1493
UDK: 303.7:004.4/004.75
DOI: 10.25018/0236-1493-2020-111-0-178-188
Article receipt date: 26.05.2020
Date of review receipt: 02.07.2020
Date of the editorial board′s decision on the article′s publishing: 10.10.2020
About authors:

Petrov Yu.S.1, Dr. Sci. (Eng.), Professor;
Khadzaragova E.A.1, Dr. Sci. (Eng.), Professor;
Sokolov A.A.1, Cand. Sci. (Eng.), Assistant Professor, e-mail: asklv@mail.ru;
Sharipzyanova G.Kh.2, Cand. Sci. (Eng.), Assistant Professor;
Taskin A.V.3, Сand. Sci. (Eng.), Head of the laboratory;
1 North Caucasian Mining and Metallurgical Institute (State Technological University), 362021, Vladikavkaz, Russia;
2 Moscow Polytechnic University, 107023, Moscow, Russia;
3 Far Eastern Federal University, 690922, Vladivostok, Russia.

 

For contacts:

A.ASokolov,e-mail: asklv@mail.ru.

Bibliography:

1. Doolin B., McLeod L. Sociomateriality and boundary objects in information systems development. European Journal of Information Systems., 2012, Vol. 21, Issue 5, pp. 570—586.

2. Fitzgerald B., Hartnett G., Conboy K. Customising agile methods to software practices at Intel Shannon. European Journal of Information Systems, 2006, Vol. 15, Issue 2, pp. 200—213.

3. Habjan A., Andriopoulos C., Gotsi M. The role of GPS-enabled information in transforming operational decision making: an exploratory study. European Journal of Information Systems, 2014, Vol. 23,Issue 4,pp. 481—502.

4. Henningsson S. Learning to acquire: how serial acquirers build organisational knowledge for information systems integration. European Journal of Information Systems, 2015, Vol. 24, Issue 2,pp. 121—144.

5. Matveev V.A. The concept of automated control of potash flotation factory. Gornyj zhurnal. 2016 no. 4. pp. 84—87. [In Russ]

6. Gur'yashov I.A., Rusakov A.S., Pilipenko E.S. Development and implementation of a project data management system at VNII Galurgii JSC. Gornyj zhurnal. 2016. no. 4. pp. 88—92. [In Russ]

7. Seryj S.S., Dunaev V.A., Gerasimov A.V., Kabelko S.G. Geoinformation support for the development of iron ore deposits of the Starooskolsky site of the KMA basin. Gornyj zhurnal. 2015. no.9. pp. 76—81. [In Russ]

8. Petrov Yu.S., Gabaraev O.Z., Sokolov A.A. A generalized assessment of the impact of a mining enterprise on the environment. Gornyj zhurnal. 2015. no. 8. pp. 25—27. [In Russ]

9. Galachieva S.V., Sokolov A.A., Sokolova O.A., Mahosheva S.A. System for assessing the development of national economic complexes of mountain territories. Sustainable Development of Mountain Territories. 2018. no. 3. pp. 329—335. [In Russ]

10. Sokolova E.A., Aslanov G.A., Sokolov A.A. A modern approach to storing of 3D geometry of objects in machine engineering industry. IOP Conference Series: Materials Science and Engineering, 10th International Conference on Mechanical Engineering, Automation and Control Systems, MEACS, 2017, Vol. 177, Issue 1, no. 012036.

11. Talalaj I.A., Biedka P. Use of the landfill water pollution index (LWPI) for groundwater quality assessment near the landfill sites. Environmental Science and Pollution Research, 2016, Vol. 23, Issue 24, pp. 24601—24613.

12. Sokolova E.A. Compression of images by variable fragments. Vestnik komp'yuternyh i informacionnyh tekhnologij. 2008. no. 10. pp. 31—34. [In Russ]

13. Patent RF no. 2339082, 03.08.2007. Groppen V.O., Proskurin A.E., Sokolova E.A. Sposob kompressii i dekompressii staticheskih izobrazhenij i videoinformacii v cifrovoj forme. 2007. [In Russ]

14. Petrov Yu. S., Sokolov A.A. Increase of effective management of technological processes of the mountain enterprise on the basis of the analysis of information on technogenic cycles/2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM), 2016, pp. 1—5.

15. Stanford D.A., Taylor P., ZiedinsI. Waiting time distributions in the accumulating priority queue. Queueing Systems, 2014, Vol. 77, Issue 3, pp. 297—330.

16. Walkowiak, K. Simultaneous optimization of unicast and anycast flows and replica location in survivable optical networks / K. Walkowiak, J. Rak. Telecommunication Systems. 2013. Vol. 52. Issue 2. pp. 1043—1055.

17. Yang, R. Optimal resource allocation for multiqueue systems with a shared server pool / R. Yang, S. Bhulai, R. van der Mei. Queueing Systems. 2011. Vol. 68. Issue 2. pp. 133—163.

18. Klyuev R.V., Bosikov I.I., Egorova E.V., Gavrina O.A. Assessment of mininggeological and mining technical conditions of the Severny pit with the use of mathematical models. Sustainable Development of Mountain Territories. 2020, №3, pp. 418–427. [In Russ]

19. Improving the energy efficiency of technological equipment at mining enterprises / R. Klyuev, I. Bosikov, O. Gavrina, M. Madaeva, A. Sokolov. Advances in Intelligent Systems and Computing. 2021. V. 1258. pp. 262—271.

20. Energy indicators of drilling machines and excavators in mountain territories / R. Klyuev, O. Fomenko, O. Gavrina, R. Turluev, S. Marzoev. Advances in Intelligent Systems and Computing. 2021. V. 1258. pp. 272—281.

21. Klyuev R.V., Bosikov I.I., Majer A.V., Gavrina O.A. Comprehensive analysis of the effective technologies application to increase sustainable development of the natural-technical system. Sustainable Development of Mountain Territories. 2020. no.2. pp. 283—290. [In Russ]

22. Petrov Yu.S., Sokolov A.A., Raus E.V. Mathematical model for assessing technological damage from the activities of mining enterprises. Sustainable Development of Mountain Territories. 2019. T. 11. no. 4. pp. 554—560. [In Russ]

Our partners

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.