Methodology for assessing geotechnical risks for metro facilities using the Big Data resource

Authors: Potapova E.V.

Risk management is an important aspect of the company’s operations. Metro construction is no exception. Effectiveness degree of risk management depends on safety of underground facility, safety of surrounding buildings and underground utilities, saving the initial cost of the project, compliance with construction deadlines. Modern technologies offer numerous tools and solutions to improve risk analysis at all stages. One of these solutions is using Big Data information resource. The article analyzes the role of an information resource in the risk management. BigData possibilities and modern information technologies for effective risk management in underground construction are considered. A scheme of analysis and a method for assessing geotechnical risks with using BigData resource for obtaining statistical information are proposed. The problem of obtaining statistical information about the manifestation of geotechnical risks is revealed. BigData and a traditional database (archive) is compared. Modern tools for working with BigData are considered.

Keywords: information, geotechnical risks, risk control, risk archive, risk assessment, statistical risk, Big Data.
For citation:

Potapova E.V. Methodology for assessing geotechnical risks for metro facilities using the big data resource. MIAB. Mining Inf. Anal. Bull. 2021;(2—1):164-173. [In Russ]. DOI: 10.25018/0236-1493-2021-21-0-164-173.

Acknowledgements:
Issue number: 2
Year: 2021
Page number: 164-173
ISBN: 0236-1493
UDK: 69.035.4
DOI: 10.25018/0236-1493-2021-21-0-164-173
Article receipt date: 09.07.2020
Date of review receipt: 18.01.2021
Date of the editorial board′s decision on the article′s publishing: 01.02.2021
About authors:

Potapova E.V., Post-graduate, Department “Construction of Underground Structures and Mining Enterprises”, NUST «MISiS», Moscow, Russia, e-mail: elka23sp@yandex.ru.

For contacts:
Bibliography:

1. Dionne G. Risk Management: History, definition and critique. Risk Management and Insurance Review, 2013, 16(2), pp. 147—166.

2. Statinov V.V., Serykh I.R., Chernysheva E.V., Degtyar A.N. Risk-oriented approach in the field of industrial safety]. Vestnik BGTU im. V.G. Shukhova, 2018, no. 12, pp. 67—72. [In Russ]

3. Magomedov sh. M., Karataev M.V. The concept of risk-oriented approach in the financial monitoring system. Vestnik MFUA. 2019, no. 4, pp. 67—76. [In Russ]

4. Merzlikina N.V., Sekatsky V.S., Poleshchuk K.O., Dedukh L.D. Qualigram as a tool for describing processes taking into account the PDCA cycle and risk-oriented thinking. Mezhdunarodnyy nauchno-issledovatel’skiy zhurnal. 2017, no. 11(65), vol. 4, pp. 55—58. [In Russ]

5. Kozhevnikova V.D. Integration of risk-oriented management in the company’s activities. Vestnik Altayskoy Akademii ekonomiki i prava. 2019, no. 4, pp. 201—206. [In Russ]

6. Kulikova E. Yu., Balovtsev S.V. Risk control system for the construction of urban underground structures. IOP Conference Series: Materials Science and Engineering, 2020, 962(4), 042020. https://doi.org/10.1088/1757—899X/962/4/042020.

7. Kulikova E. Yu. Assessment of polymer materials environmental compatibility in underground development. Ecology and Industry of Russia. 2016. Vol. 20. Iss. 3. Pp. 28—31. DOI: 10.18412/1816—0395—2016—3-28—31. [In Russ].

8. Rybak J., Ivannikov A., Kulikova E., Żyrek T. Deep excavation in urban areas — defects of surrounding buildings at various stages of construction. MATEC Web Conf. Vol. 146, 2018. https://doi.org/10.1051/matecconf/20181460201.

9. Balovtsev S.V., Shevchuk R.V. Geomechanical monitoring of mine shafts in difficult ground conditions. MIAB. Mining Inf. Anal. Bull. 2018, no. 8, pp. 77—83. DOI: 10.25018/0236-1493-2018-8-0-77-83. [In Russ].

10. Skopintseva O. V., Balovtsev S. V. Air quality control in coal mines based on gas monitoring statistics. MIAB. Mining Inf. Anal. Bull. 2021;(1):78-89. [In Russ]. DOI: 10.25018/0236-1493-2021-1-0-78-89..

11. Potapova E.V. General problems of geotechnical risk management in terms of construction of vertical shafts in the Moscow subway. MIAB. Mining Inf. Anal. Bull. 2019;(10):44—54. [In Russ]. DOI: 10.25018/0236-1493-2019-10-0-44-54.

12. Nehamkin A.N., Kokunova D.V. Evolution of risk theory. Vestnik Bryanskogo gosudarstvennogo universiteta. 2010, no. 3, pp. 36—43. [In Russ]

13. George A. Akerlof . The Market for “Lemons”: Quality Uncertainty and the Market Mechanism. The Quarterly Journal of Economics. Vol. 84. no. 3 (Aug., 1970), pp. 488—500.

14. Markowitz H. Portfolio selection. The Journal of Finance, 1952. Vol. 7. no. 1, pp. 77—91.

15. Krivtsov A.I. Informatsionnoye obespecheniye analiza riskov. Sovremennyye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal [Information support of risk analysis. Modern problems of science and education: electronic science journal]. 2014, no. 6. Access mode — URL: https://science-education.ru /pdf/2014/6/453.pdf (request date: 10.06.2020). [In Russ]

16. Yudina M.A. Industriya 4. 0: perspektivy i vyzovy dlya obshchestva. Gosudarstvennoye upravleniye. Elektronnyy vestnik [Industry 4.0: Opportunities and Challenges. Public administration. Electronic bulletin]. 2017, no. 60, pp. 197—215. [In Russ]

17. Belova L.G., Vihoreva O.M., Karlovskaya S.B. Industry 4.0: opportunities and challenges for the world economy. Vestnik Moskovskogo universiteta. Series 6. Economics]. 2018, no. 3, pp. 167—183. [In Russ]

18. Xu. L.D., Xu, E.L., Li, L. Industry 4.0: State of the art and future trends. International. Journal of Production Research. 2018. no. 56, pp. 2941—2962.

19. Cruz-Jesus F., Oliveira T., Bacao F. The global digital divide: Evidence and Drivers. Journal of Global Information Management. 2018, no. 26, pp.1—26.

20. Dmitriev A.S. BigData, 4V: volume, variety, velocity, veracity. Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial’nyye peremeny [BigData, 4V: volume, variety, velocity, veracity. Monitoring public opinion: economic and social changes]. 2015, no. 2(126), pp. 156—159. [In Russ]

21. Sukhobokov A.A. Lakhvich D.S. Influence of Big Data tools on the development of scientific disciplines related to modeling. Nauka i obrazovaniye: nauchnoye izdaniye MGTU im. Baumana. 2015, no. 3, pp. 207—240. [In Russ]

22. Magerramov Z.T., Abdulaev V.G., Magerramova A.Z. Big Data: problems, methods of analysis, algorithms. Radioelektronika i informatika. 2017, no. 3, pp. 42—51. [In Russ]

23. Cerchiello P., Giudici P. Big data analysis for financial risk management. Journal of Big Data: electronic science journal. Vol. 18, 2016. Access mode — URL: https://journalofbigdata. springeropen.com/articles/10.1186/s40537—016—0053—4 (request date:10.06.2020).

24. Gobareva Y.L., Gorodetskaya O.Y., Nikolaenkova M.S. Big Data: big potential of risk management. Transportnoye delo Rossii. no. 1. 2016. Pp. 21—24. [In Russ]

25. Rudskaya E.N. Desyatnichenko L.V. Rol’ Big Data v upravlenii riskami: razvitiye

«umnogo strakhovaniya». Vektor ekonomiki: elektronnyy zhurnal [Role of Big Data in risk management: the development of “smart insurance”. Vector of Economics: electronic journal]. 2017, no. 6. Access mode — URL: http://www.vectoreconomy. ru/images/ publications/2017/6/economicsmanagement/Rudskaia_Desyatnichenko.pdf (request date: 10.06.2020).

26. Mazein S.V., Potapova E.V. Research of offset of block lining in case of shield driving road tunnels. Nauka i tekhnika v dorozhnoy otrasli. 2019, no. 4(90). pp. 33—36.

27. Petrov V.L. Training of mineral dressing engineers at Russian Universities. Tsvetnye Metally. 2017, no. 7, pp. 14—19. DOI: 10.17580/tsm.2017.07.02. [In Russ].

28. Puchkov L.A., Petrov V.L. The system of higher mining education in Russia. Eurasian Mining. 2017. no. 2. Pp. 57—60. DOI: 10.17580/em.2017.02.14.

29. Petrov V.L. Federal training and guideline association on applied geology, mining, oil and gas production and geodesy — A new stage of government, academic community and industry cooperation. Gornyi Zhurnal. 2016, no. 9, pp. 115—119. DOI: 10.17580/ gzh.2016.09.23. [In Russ].

30. Petrov V.L., Krupin Yu. A., Kochetov A.I. Evaluation of professional education quality in mining and metallurgy: New approaches. Gornyi Zhurnal. 2016, no. 12, pp. 94—97. DOI: 10.17580/gzh.2016.12.19. [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.