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Taking into account the human factor influence in automated fire and explosion safety systems using digital twins of fuel and energy facilities

https://doi.org/10.22227/0869-7493.2023.32.06.25-35

Abstract

Introduction. The implementation of fire safety measures is one of the main tasks of decision makers (DM). Their activities are supported by automated fire and explosion safety systems (AFES), whose software subsystems are now increasingly incorporating digital twins. Their use allows modelling of various, including pre-fire, situations. The DM should always take into account the influence of their actions of the AFES personnel on their development when carrying out the appropriate set of measures. However, the supplied versions of digital twins do not contain the required calculations, which makes it necessary to fill in such gaps. The article is devoted to calculations of the human factor influence assessment on the implementation of the complexes of industrial safety measures and reasonable tolerances for their adjustment.

Methods. To solve this problem, the article analyzes hierarchies, which allows to define in more detail the structure of decisions made by the DM in the field of fire safety. Two variants of structural organization of objects are chosen, each of which represents a tree with a different number of leaves and branches. Structural schemes of objects allow to formulate types of tasks and directions for formation of complexes of measures to ensure fire safety. Complexes of measures for specific areas of fuel and energy complex facilities are formed by the DM in the course of further specification of their structure.

Calculations. Calculation of regulated and real time of performance of complexes of measures of fire safety of a separate site of the object of fuel and energy complex is carried out on the basis of estimated times for each of the measures in the complex. On the basis of the obtained values, the integral degree of their completion is determined.

Results. The total time of events should be determined either through data on the development of dangerous situations over several years, or by modelling in digital twins.

Conclusions. Inclusion of calculations of integral degree of completeness of complexes of measures to ensure fire safety in the subsystems of software, information and mathematical support of the AFES will give the DM the possibility to react more quickly to the occurrence of dangerous situations.

About the Authors

I. V. Samarin
National University of Oil and Gas “Gubkin University”
Russian Federation

Ilya V. SAMARIN, Dr. Sci. (Eng.), Docent, Head of Department of Automation of Technological Processes

Leninskiy Avenue, 65, Bldg. 1, Moscow, 119991

Scopus AuthorID: 24725751900; ID RISC: 867674



V. V. Kukharskiy
National University of Oil and Gas “Gubkin University”
Russian Federation

Vladislav V. KUKHARSKIY, Postgraduate Student

Leninskiy Avenue, 65, Bldg. 1, Moscow, 119991

ID RISC: 1155514



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For citations:


Samarin I.V., Kukharskiy V.V. Taking into account the human factor influence in automated fire and explosion safety systems using digital twins of fuel and energy facilities. Pozharovzryvobezopasnost/Fire and Explosion Safety. 2023;32(6):25-35. (In Russ.) https://doi.org/10.22227/0869-7493.2023.32.06.25-35

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ISSN 0869-7493 (Print)
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