Detection of smoke from infrared image frames in the aircraft cargoes

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...

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Bibliographic Details
Main Authors: Li Deng, Qian Chen, Yuanhua He, Xiubao Sui, Qin Wang
Format: Article
Language:English
Published: SAGE Publishing 2021-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/15501477211009808
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spelling doaj-4f1d146645054b61b8b8c4358fd058c82021-04-12T00:03:19ZengSAGE 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
collection DOAJ
language English
format Article
sources DOAJ
author Li Deng
Qian Chen
Yuanhua He
Xiubao Sui
Qin Wang
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
author_facet Li Deng
Qian Chen
Yuanhua He
Xiubao Sui
Qin Wang
author_sort Li Deng
title 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_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_sort detection of smoke from infrared image frames in the aircraft cargoes
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2021-04-01
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.
url https://doi.org/10.1177/15501477211009808
work_keys_str_mv AT lideng detectionofsmokefrominfraredimageframesintheaircraftcargoes
AT qianchen detectionofsmokefrominfraredimageframesintheaircraftcargoes
AT yuanhuahe detectionofsmokefrominfraredimageframesintheaircraftcargoes
AT xiubaosui detectionofsmokefrominfraredimageframesintheaircraftcargoes
AT qinwang detectionofsmokefrominfraredimageframesintheaircraftcargoes
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