Issue |
Int. J. Metrol. Qual. Eng.
Volume 13, 2022
|
|
---|---|---|
Article Number | 1 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/ijmqe/2022001 | |
Published online | 19 January 2022 |
Research Article
Research on fire source localization in confined space based on the fire characteristic physical quantity information
1
Hubei Electric Power Research Institute, Wuhan 430077, PR China
2
Department of New Energy, China University of Petroleum (East China), Qingdao 266580, PR China
* Corresponding author: lyczy299@126.com
Received:
24
October
2022
Accepted:
3
January
2022
Fire source localization is of great significance to the firefighting and evacuation. In order to resolve the problem of precise localization of fire source in confined space, a method based on the diffusion law of hot smoke flow in the early stage of fire is proposed in this paper. According to the fire characteristic physical quantity information collected by the sensor array, the relative variability correlation degree is used to obtain the signal time delays between the sensor units. Then, the direction angle of the sensor units and fire source can be determined through the geometric relationship, and the angular localization principle is used to obtain the fire source localization results. Finally, according to the fire source localization results obtained in different sets of time delays, the localization estimation area is selected based on the dynamic clustering, and the center of this area is output as the comprehensive localization result. The testing results show that this method performs well and achieves a high localization accuracy.
Key words: Fire source localization / confined space / fire characteristic physical quantity / dynamic clustering / localization accuracy
© F. Yang et al., Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/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.