scholarly journals Damage Identification of Steel Members Based on Infrared Image Processing Technology

2020 ◽  
Vol 42 (3) ◽  
pp. 286-293
Author(s):  
兰林 邹 ◽  
瀚文 许 ◽  
兴林 周
2021 ◽  
Vol 17 (4) ◽  
pp. 155014772110098
Author(s):  
Li Deng ◽  
Qian Chen ◽  
Yuanhua He ◽  
Xiubao Sui ◽  
Qin Wang

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.


2019 ◽  
Vol 75 (2) ◽  
pp. I_1267-I_1272
Author(s):  
Naoki FUKUHARA ◽  
Tetsuya TAKESHITA ◽  
Fuminori KATO ◽  
Takuya TERANISHI ◽  
Takahiro AKITA ◽  
...  

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