Number № 21

2021, №2

The use of modern interactive training complexes in the process of forming practical skills and skills of fire fighting in students of different training areas

Polyakov R.Yu.1, Ph.D. of Engineering Sciences; Artemova Yu.V.1, Ph.D. of Pedagogic Sciences; Artemov A.S.1; Fedyanin V.I.2, Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences, Full Professor; Kvashnina G.A.2, Ph.D. of Engineering Sciences, Docent
1Bunin Yelets State University
2Voronezh State Technical University

This article deals with the problem of teaching practical skills and abilities to use primary fire extinguishing equipment. The most common problem in the field of fire safety is insufficient training in the handling of fire extinguishers. Often, a fire starts with a small source of fire, which can be prevented by localizing it with primary fire extinguishing means. However, improper or inefficient use of fire extinguishers by employees leads to the spread of fire. The article offers a method for teaching practical skills to work with different types of fire extinguishers and extinguish different classes of fire using modern interactive fire extinguishing training complexes.

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Coping adaptation of students to overcome academic procrastination

Kropotova N.A., Ph.D. of Chemical Sciences; Legkova I.A. Ph.D. of Technical Sciences, Docent
IFRA of SFS of EMERCOM of Russia

The article is devoted to solving the problem of overcoming academic procrastination in order to improve the quality of training of highly qualified specialists in the field of techno sphere and fire safety. The article introduces for the first time the concept of coping adaptation of students, gives its detailed explanation, and gives its main types. Based on the testing of freshmen of a departmental educational organization, the authors identified the reasons for procrastination. The results obtained prove the inconstancy of coping adaptation, which contributes to the development of personality and is not a dissonance. Based on the analysis of the results obtained, the main conclusions of the practical application of these studies are present.

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Problems of neural network and regression forecasting the river flood level

Shamsutdinova T.M., Ph.D. of Physico-mathematical Sciences, Docent
FSBEI HE Bashkir State Agrarian University

The article is about the development of neural network and regression models for predicting river floods. In particular, a range of problems related to hydrometeorological support for forecasting a flood situation is considered, and issues of its implementation are discussed. An example of creating regression and neural network models for forecasting the level of the Belaya (Agidel) river is given.

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Use of automated designs for implementation of interdisciplinary relations in the educational process of higher school

Goldobina L.A., Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences, Full Professor
FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia

The article is devoted to the issue of improving the quality of training for engineering specialists who, on the basis of integrating knowledge obtained from various fields of science and technology, using modern computer-aided design (CAD) programs, are capable of developing, implementing and monitoring engineering and organizational and technological solutions.

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Software for calculating the number personnеl of fire brigades of an industrial enterprises, taking into account the functioning of engineering fire protection systems

Surina G.P.; Poroshin A.A., Ph.D. of Engineering Sciences; Vasilyeva L.V.
The Badge of Honorur Federal State Budgetary Establishment All-Russia Research Institute for Fire Protection

The issues of developing software for calculating the number of fire protection personnel of an industrial enterprise, which are necessary for the implementation of functions for the prevention of fires and (or) their extinguishing, taking into account the availability of engineering systems of fire protection at the enterprise, are discussed. Using the example of software for calculating the number of fire brigades, which performs functions of extinguishing fires, a description of the main program modules, structures of input-output tables of initial and calculated information is given.

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Methodological approach to solving the problem of substantiating the rational parameters of the radiation monitoring system for detecting local sources of ionizing radiation of terrorist origin

Mazanik A.I.1, Holder of an Advanced Doctorate (Doctor of Science) in Military Sciences, Full Professor; Valuev N.P.1, Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences, Docent; Sergeev I.Y.2, Ph.D. of Engineering Sciences, Nikolaev G.A.2
1Civil Defense Academy EMERCOM of Russia
2FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia

The article presents in a formalized form a scientific task that consists in the development of a scientific and methodological apparatus for substantiating the rational parameters of a radiation monitoring system for detecting local sources of ionizing radiation of terrorist origin. The stages of solving the presented scientific problem are determined. The most acceptable approaches to solving particular problems of assessing the current level of readiness of the radiation monitoring system and substantiating the rational parameters of the radiation monitoring system, taking into account the current level of readiness, are considered.

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Application of geoinformation tools for working with big data in the analysis of the spatial distribution of fires

Babenyshev S.V., Ph.D. of Physical and Mathematical Sciences; Boyko G.M., Ph.D. of Pedagogical Sciences; O.S. Malyutin; Materov E.N., Ph.D. of Physical and Mathematical Sciences
FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia

The paper discusses the possibilities of the Python and R programming languages in application to geocoding and analysis of geographical data on fires and their consequences. The paper considers: drawing of static and interactive geographical maps of the initial data on fires, a graph of the density of fires, data on the time of arrival of units, fire areas, as well as the construction of transport accessibility zones and optimal routes. The analytical tools used here can be useful in determining the order of attraction of forces and means of units of fire and rescue garrisons, in particular, in the development of plans for attraction and schedules of visits of forces and means of garrisons to extinguish fires. The analysis procedure described in this paper can be used, taking into account the specifics, for almost any locality in the Russian Federation.

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The concept of a model for the development of a management system in crisis situations

Korolev D.S.1, Ph.D. of Engineering Sciences; Shmireva M.B.2, Ph.D. of Economic Sciences; Boyko G.M.2, Ph.D. of Pedagogic Sciences, Docent; Kvashnina G.A.1, Ph.D. of Engineering Sciences, Docent
1Voronezh State Technical University
2Siberian Fire and Rescue Academy of the Ministry of Emergency Situations of Russia

Currently, information resources and digital technologies are actively developing, which are designed to solve some human problems. The authors conducted a study that analyzed the effectiveness of the management center in crisis situations of the EMERCOM of Russia. It was found that employees of the institution are subject to routine work, which affects the irrational use of office time, as well as the constant growth of professional tasks affects the quality of their performance. Therefore, we proposed a model of an automated system designed to solve some of the problems in real time.

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Digital multy – agent system for simulating natural fire fighting processes

Dorrer G.A.1, Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences, Full Professor; Kobijzhakova S.V.2; Yarovoy S.V.1, Ph.D. of Engineering Sciences
1FGBOU department of the academician M.F. Reshetnev’s Siberian state university of science and technologies
2FSBOU VO Siberian Fire and Rescue Academy of the Ministry of Emergency Situations of Russia

A system for modeling and supporting decision-making on the use of forces and means to eliminate wildfires, based on a digital model, implemented in the software “Taiga-Analyst”, is proposed. The system works on the basis of agent-based simulation and allows you to select forces and means to fight a fire, simulate its propagation and elimination with reference to a digital terrain map using a geographic information system. The possibilities and scope of the “Taiga-Analyst” system are described. A decision-making scheme for fighting natural fires is shown, and the use of the system in the process of training fire safety specialists is described.

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The problem of using big data in the interests of fulfilling the tasks facing the Emercom of Russia

Rybakov A.V. Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences, Full Professor; Ivanov E.V., Ph.D. of Engineering Sciences; Dmitriev A.V.; Sidorov V.S.
Civil Defense Academy EMERCOM of Russia

The article raises the problem of the need to apply “big data”in the practice of the EMERCOM of Russia. It is emphasized that it is necessary to form both database sources and unified tools that ensure the correct processing of statistical data through the use of Big Data methods. A brief description of the methods of Big Data and promising topics of research works in the framework of which these methods can be used are given.

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