FireSonic: Design and Implementation of an Ultrasound Sensing-Based Fire Type Identification System Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/s24134360
Accurate and prompt determination of fire types is essential for effective firefighting and reducing damage. However, traditional methods such as smoke detection, visual analysis, and wireless signals are not able to identify fire types. This paper introduces FireSonic, an acoustic sensing system that leverages commercial speakers and microphones to actively probe the fire using acoustic signals, effectively identifying fire types. By incorporating beamforming technology, FireSonic first enhances signal clarity and reliability, thus mitigating signal attenuation and distortion. To establish a reliable correlation between fire type and sound propagation, FireSonic quantifies the heat release rate (HRR) of flames by analyzing the relationship between fire-heated areas and sound wave propagation delays. Furthermore, the system extracts spatiotemporal features related to fire from channel measurements. The experimental results demonstrate that FireSonic attains an average fire type classification accuracy of 95.5% and a detection latency of less than 400 ms, satisfying the requirements for real-time monitoring. This system significantly enhances the formulation of targeted firefighting strategies, boosting fire response effectiveness and public safety.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24134360
- https://www.mdpi.com/1424-8220/24/13/4360/pdf?version=1720166888
- OA Status
- gold
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400352284
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400352284Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s24134360Digital Object Identifier
- Title
-
FireSonic: Design and Implementation of an Ultrasound Sensing-Based Fire Type Identification SystemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-05Full publication date if available
- Authors
-
Zheng Wang, Yanwen Wang, Mingyuan Liao, Yi Sun, Shuke Wang, Xiaoqi Sun, Xiaokang Shi, Yisen Kang, Mi Tian, Tong Bao, Ruiqi LuList of authors in order
- Landing page
-
https://doi.org/10.3390/s24134360Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/24/13/4360/pdf?version=1720166888Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/24/13/4360/pdf?version=1720166888Direct OA link when available
- Concepts
-
Computer science, Beamforming, Wireless, Attenuation, Real-time computing, Channel (broadcasting), Firefighting, Acoustics, Telecommunications, Organic chemistry, Optics, Chemistry, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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