| Issue |
E3S Web Conf.
Volume 471, 2024
XIV International Conference on Transport Infrastructure: Territory Development and Sustainability (TITDS-XIV-2023)
|
|
|---|---|---|
| Article Number | 05013 | |
| Number of page(s) | 5 | |
| Section | Transportation Operations and Logistics Dynamics | |
| DOI | https://doi.org/10.1051/e3sconf/202447105013 | |
| Published online | 04 January 2024 | |
Development of information support of the decision-making management system for emergency prevention based on distance video systems
1 Voronezh State Technical University, 84, 20th Anniversary of October str., Voronezh, 394006, Russia
2 Voronezh institute of Advanced Training of Employees of the EMERCOM of Russia, 231 Krasnoznamennaya, Voronezh, 394000, Russia
* Corresponding author: taft.rvk@yandex.ru
The possibilities of identifying combustion from the mobile observation point located on an unmanned aircraft are considered. A qualifying sign of frequency fluctuations in the region of combustion was derived and presented in the form of a program filter of vyvyl-analysis in the temporary area. The frequency characteristics of the detectors and experimental data used in fire detectors were compared. A stable correlation was obtained confirming the conformity of the hypothesis existing tested data. It is proposed as a sign of defining burning to use the frequency of the color of the color of the pixels from the gama of fire to the color of the underlying surface. It is experimentally determined that combustion corresponds to the range from 12 to 30 Hz. The work takes into account the dynamic location of the observation point on an unmanned aircraft. The boundary conditions of the operation of the aviation system allowing to obtain relevant data for analysis are described.
© The Authors, published by EDP Sciences, 2023
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.