Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
---|---|---|
Article Number | 01016 | |
Number of page(s) | 7 | |
Section | Hybrid Modeling and Optimization in Complex Systems: Advances and Applications | |
DOI | https://doi.org/10.1051/itmconf/20245901016 | |
Published online | 25 January 2024 |
A model for describing the administration and processing system of information generated when responding to incidents by fire departments
1
SBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia,
Severnaya 1,
Zheleznogorsk,
662972,
Russia
2
Siberian Federal University, Scientific laboratory of Hybrid methods of modelling and optimization in complex systems,
26a, street Akademika Kirenskogo.,
Krasnoyarsk,
660074,
Russia
* Corresponding author: gileksa@sibpsa.ru
Firefighting units are a specific object of management that performs its functions in response in conditions of limited time and intensive flow of information. In these conditions, the requirements to reliability and completeness of the received information increase. Excessive flow of information characteristic at extreme information creates conditions of information overload and negatively affects the adoption of management decisions. The choice of optimum quantity and type of information in the system of management of fire protection units in conditions of limited time is the key condition of successful actions first on rescue of people and mitigation of risks in the broad sense. In the article, the formalization of information flows arising in the process of reaction by fire protection units is carried out. In grapho-analytical form the emerging information flow in the response management system is presented as an interrelation and interdependence of elements forming the volume of information and carrying out the processing (use) of information for the purposes of effective response to incidents. The ontology of the emerging information flow in the response process is presented.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.