Research on the Method of Using Wireless Sensing to Detect Indoor People during Fire Based on Unmanned Aerial Vehicle.
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| Title: | Research on the Method of Using Wireless Sensing to Detect Indoor People during Fire Based on Unmanned Aerial Vehicle. |
|---|---|
| Authors: | Lin TANG1, Chao WANG1 wangchao_shu2024@163.com, Yinfan DING1, Meng ZHOU1 |
| Source: | Technical Gazette / Tehnički Vjesnik. 2024, Vol. 31 Issue 6, p1930-1937. 8p. |
| Subjects: | Urban land use, Search & rescue operations, Wireless channels, Drone aircraft, Rescue work |
| Abstract: | Though improving the efficiency of urban land use, high-rise buildings greatly increase the difficulty in search and rescue during fires. Therefore, effective search and rescue in high-rise building fires has always been a hot and difficult issue in emergency management. Starting from the characteristics of high-rise building fires and the difficulties in addressing them, this paper introduced unmanned aerial vehicle (UAV) technology into search and rescue operations in fires. Based on the influences of dynamic factors on wireless signal (WS) states in a static environment, it investigated the techniques for extracting and sensing wireless channel state features when indoor personnel waves for help and proposed a method for indoor personnel detection based on channel state information (CSI) sensing. In the article, a single source wireless device (common Wi-Fi router) is used as the detection terminal to collect the wireless channel state, and the signal sampling, support vector machine (SVM), and other technologies are combined to realize the wireless channel state sensing and classification. The outcomes of the experiment revealed that the suggested approach can effectively succeed in through-wall detection and sensing for indoor personnel calling for help in the event of a fire, with an accuracy of 94.6%. Incorporating the non-invasive, robust, universal, and low-cost characteristics, the method promises broad application values in improving the search and rescue efficiency of firefighters. [ABSTRACT FROM AUTHOR] |
| Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 181870312 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on the Method of Using Wireless Sensing to Detect Indoor People during Fire Based on Unmanned Aerial Vehicle. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin+TANG%22">Lin TANG</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chao+WANG%22">Chao WANG</searchLink><relatesTo>1</relatesTo><i> wangchao_shu2024@163.com</i><br /><searchLink fieldCode="AR" term="%22Yinfan+DING%22">Yinfan DING</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Meng+ZHOU%22">Meng ZHOU</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2024, Vol. 31 Issue 6, p1930-1937. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Urban+land+use%22">Urban land use</searchLink><br /><searchLink fieldCode="DE" term="%22Search+%26+rescue+operations%22">Search & rescue operations</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+channels%22">Wireless channels</searchLink><br /><searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Rescue+work%22">Rescue work</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Though improving the efficiency of urban land use, high-rise buildings greatly increase the difficulty in search and rescue during fires. Therefore, effective search and rescue in high-rise building fires has always been a hot and difficult issue in emergency management. Starting from the characteristics of high-rise building fires and the difficulties in addressing them, this paper introduced unmanned aerial vehicle (UAV) technology into search and rescue operations in fires. Based on the influences of dynamic factors on wireless signal (WS) states in a static environment, it investigated the techniques for extracting and sensing wireless channel state features when indoor personnel waves for help and proposed a method for indoor personnel detection based on channel state information (CSI) sensing. In the article, a single source wireless device (common Wi-Fi router) is used as the detection terminal to collect the wireless channel state, and the signal sampling, support vector machine (SVM), and other technologies are combined to realize the wireless channel state sensing and classification. The outcomes of the experiment revealed that the suggested approach can effectively succeed in through-wall detection and sensing for indoor personnel calling for help in the event of a fire, with an accuracy of 94.6%. Incorporating the non-invasive, robust, universal, and low-cost characteristics, the method promises broad application values in improving the search and rescue efficiency of firefighters. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=181870312 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17559/TV-20240319001414 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1930 Subjects: – SubjectFull: Urban land use Type: general – SubjectFull: Search & rescue operations Type: general – SubjectFull: Wireless channels Type: general – SubjectFull: Drone aircraft Type: general – SubjectFull: Rescue work Type: general Titles: – TitleFull: Research on the Method of Using Wireless Sensing to Detect Indoor People during Fire Based on Unmanned Aerial Vehicle. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin TANG – PersonEntity: Name: NameFull: Chao WANG – PersonEntity: Name: NameFull: Yinfan DING – PersonEntity: Name: NameFull: Meng ZHOU IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13303651 Numbering: – Type: volume Value: 31 – Type: issue Value: 6 Titles: – TitleFull: Technical Gazette / Tehnički Vjesnik Type: main |
| ResultId | 1 |
