Detection of smoke from infrared image frames in the aircraft cargoes
The existing equipment of civil aircraft cargo fire detection mainly uses photoelectric smoke detectors, which has a high false alarm rate. According to Federal Aviation Agency’s statistics, the false alarm rate is as high as 99%. Since, in the cargo of civil aircraft, visible image processing techn...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2021-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501477211009808 |
| _version_ | 1797766165991260160 |
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| author | Li Deng Qian Chen Yuanhua He Xiubao Sui Qin Wang |
| author_facet | Li Deng Qian Chen Yuanhua He Xiubao Sui Qin Wang |
| author_sort | Li Deng |
| collection | DOAJ |
| description | The existing equipment of civil aircraft cargo fire detection mainly uses photoelectric smoke detectors, which has a high false alarm rate. According to Federal Aviation Agency’s statistics, the false alarm rate is as high as 99%. Since, in the cargo of civil aircraft, visible image processing technology cannot be used to detect smoke in the event of a fire due to the closed dark environment, a novel smoke detection method using infrared image processing technology is presented. Experiments were conducted under different environment pressures in the full-size cargo of civil aircraft. The results show that the proposed method can effectively detect smoke at the early stage of fire which is applicable for fire detection in civil aircraft cargoes. |
| first_indexed | 2024-03-12T20:20:21Z |
| format | Article |
| id | doaj.art-4f1d146645054b61b8b8c4358fd058c8 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T20:20:21Z |
| publishDate | 2021-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-4f1d146645054b61b8b8c4358fd058c82023-08-02T00:58:26ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772021-04-011710.1177/15501477211009808Detection of smoke from infrared image frames in the aircraft cargoesLi Deng0Qian Chen1Yuanhua He2Xiubao Sui3Qin Wang4School of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan, People’s Republic of ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of ChinaSchool of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan, People’s Republic of ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of ChinaGuanghan Branch, Civil Aviation Flight University of China, Guanghan, People’s Republic of ChinaThe existing equipment of civil aircraft cargo fire detection mainly uses photoelectric smoke detectors, which has a high false alarm rate. According to Federal Aviation Agency’s statistics, the false alarm rate is as high as 99%. Since, in the cargo of civil aircraft, visible image processing technology cannot be used to detect smoke in the event of a fire due to the closed dark environment, a novel smoke detection method using infrared image processing technology is presented. Experiments were conducted under different environment pressures in the full-size cargo of civil aircraft. The results show that the proposed method can effectively detect smoke at the early stage of fire which is applicable for fire detection in civil aircraft cargoes.https://doi.org/10.1177/15501477211009808 |
| spellingShingle | Li Deng Qian Chen Yuanhua He Xiubao Sui Qin Wang Detection of smoke from infrared image frames in the aircraft cargoes International Journal of Distributed Sensor Networks |
| title | Detection of smoke from infrared image frames in the aircraft cargoes |
| title_full | Detection of smoke from infrared image frames in the aircraft cargoes |
| title_fullStr | Detection of smoke from infrared image frames in the aircraft cargoes |
| title_full_unstemmed | Detection of smoke from infrared image frames in the aircraft cargoes |
| title_short | Detection of smoke from infrared image frames in the aircraft cargoes |
| title_sort | detection of smoke from infrared image frames in the aircraft cargoes |
| url | https://doi.org/10.1177/15501477211009808 |
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