Number № 28

Christina A. Korneychuk¹,
Ivan N. Tatarkin¹,
Tatyana A. Lomaeva²,
Polina A. Solkina³,
Tatyana V. Shkaberina^1
1Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, Russia
²Civil Defence Academy of Emercom of Russia, Moscow, Russia
³Siberian Federal University, Krasnoyarsk, Russia

The article provides an overview of modern digital and pedagogical technologies. Based on the conducted research, the authors put forward the concept of improving the system of higher education institutions, which will improve the efficiency and quality of education through the introduction of modern digital technologies in the educational process.

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Sergey V. Romanov¹,
Ekaterina A.Basumatorova²
State Agrarian University of the Northern Trans-Urals, Tyumen, Russia
¹https://orcid.org/0000-0002-3304-1496
²https://orcid.org/0000-0002-1548-2837

The article discusses the use of unmanned aircraft systems (UAS) by units of the Ministry of Emergency Situations of Russia, during the prevention and liquidation of emergency situations (emergencies) of a natural nature. The advantages and disadvantages of the use of unmanned aviation units of the Ministry of Emergency Situations of Russia have been identified, recommendations of an organizational and technical nature have been developed to improve it when monitoring the forest fire situation, aerial reconnaissance of forest and landscape fires.

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Vitaly A. Onov¹,
Maria V. Pankratova²
Saint – Petersburg University of State Fire Service of EMERCOM of Russia, Saint-Petersburg, Russia
¹https://orcid.org/0000-0003-0466-9468
²https://orcid.org/0000-0002-4411-1867

One of the urgent tasks in the field of emergency response at oil industry facilities in the Arctic zone of the Russian Federation is to minimize the risks of accidents with oil spill. To formalize the modeling process, the methods “Failure Tree” and “Event Tree” were used in the work, which are a powerful tool in identifying the root causes of accidents.

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Viktor I. Iskalin,
Vladimir A. Sorokin,
Natalya V. Tuz,
Konstantin V. Domrachev
All-Russian Research Institute of Fire Protection of the Ministry of the Russian Federation for Civil Defense, Emergencies and Elimination of Consequences of Natural Disasters, Balashikha, Russia

A mathematical model based on the Harrington desirability function was used to develop a Methodology for assessing the territorial bodies of the State Emergency Service of Russia. An example of the implementation of the Methodology in the form of a desktop application in Python has been developed.

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Alexander V. Yershov¹,
Ekaterina N. Kiyatkina^1,2,
Vadim B. Korobko¹,
Igor O. Voropaev^1,3
1SFA of EMERCOM of Russia, Мoscow, Russia
²Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, Russia
³Academy of Civil Protection of the Ministry of Emergency Situations of the DNR, Donetsk

The necessity of using computational scenario assessments of the risks of harming critically important public values as the main tool for making managerial decisions by officials of control (supervision) over fire safety is considered.

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Alexey V. Baturo¹,
Valeriy V. Nicheporchuk²,
Stanislav Y. Bytyzov³,
Sergey A. Gilek^1
1Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, Russia
²Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
³SFA of EMERCOM of Russia, Moscow, Russia

The paper is description problems of fire risk management at the territorial level. With purpose of forming solutions for preventive measures ensure an acceptable level of fire safety created the analytical model linking hazard factors and measures to counter them. Made describes the fire safety assessment indicators, methods of collecting and processing them to justify management decisions.

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Christina A. Korneychuk¹,
Nikolay V. Martinovich¹,
Ivan N. Tatarkin¹,
Alexander I. Fursov²,
Alexander N. Pochekunin^3
1Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, Russia
²SFA of EMERCOM of Russia, Moscow, Russia
³Center for Special Risk Rescue operations «Leader», Moscow, Russia

The labour analyzes foreign projects on interactive security training, as well as programs operating in the Russian Federation. Based on the information received, recommendations were formed on the organization of an educational space for teaching the population about security.

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Oleg S. Malyutin,
Sergei V. Babenyshev,
Evgeny N. Materov
Siberian Fire and Rescue Academy EMERCOMV of Russia, Zheleznogorsk, Russia

The article considers a method for solving the problem of optimizing the boundaries of exit areas and qualitatively assessing the impact of changing the boundaries of exit areas using the Python programming language and special software solutions for analyzing geospatial data. We describe the course of work and the technical solutions used. The difficulties and “bottlenecks” of both the implementation and the used method as a whole are discussed. We supply the results of the calculation on the example of a conditional fire and rescue garrison. Recommendations are given for the application and further improvement of the shown method.

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