Algorithmic provisions for data processing under spatial analysis of risk of accidents at hazardous production facilities

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Authors:

E.I.Kabanov, Cand. Sc. (Tech.), orcid.org/0000-0001-7580-9099, Saint Petersburg Mining University, St. Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

G.I.Korshunov, Dr. Sc. (Tech.), Prof., orcid.org/0000-0001-9832-4123, Saint Petersburg Mining University, St. Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

E.B.Gridina, Cand. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0002-7265-1115, Saint Petersburg Mining University, St. Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 повний текст / full article



Abstract:

Purpose. Rationale of priority areas in the field of hazard analysis at hazardous production facilities (HPF) and the development of a method that allows for spatial analysis of the risk of accidents at a high level of detail.

Methodology. The authors proposed a method for processing heterogeneous information in order to identify hazardous areas for accidents, based on systematization and processing of source data using expert systems.

Findings. Using the example of spatial analysis of risk of explosion of methane-air mixture in the working area of a coal mine, the possibility of practical implementation of the proposed method was demonstrated. For this purpose, an expert system was used, which was formed on the basis of fuzzy logic inference algorithms in MATLAB Fuzzy Logic Toolbox environment, and further point interpolation was performed using the Golden Software Surfer.

Originality. Based on the model of expert system of a fuzzy logical output, relationships have been established between a numerical indicator of the risk of an accident – an explosion of a methane-air mixture, and indicators of mining, geological, mining, subjective, and organizational risk factors. The expediency of the development of separate expert systems for the analysis of individual sources of hazards in order to create a single component object environment for the implementation of comprehensive analysis of safety of HPF is substantiated.

Practical value. The work presents the rationale for the universality of the chosen methodological approach, which allows adapting expert systems for analyzing various hazards on HPF in various industries. The obtained results can be used for the timely and targeted implementation of preventive protective measures, which will be the practical use of the principles of the risk-based approach (RBA) in ensuring the safety of HPF.

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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