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.

现有的民航货运火灾探测设备主要采用光电烟感器，虚警率高。根据联邦航空局的统计，误报率高达99％。由于在封闭的黑暗环境中，在民用飞机的货物中，在发生火灾时不能使用可见图像处理技术来检测烟雾，因此提出了一种使用红外图像处理技术的新颖的烟雾检测方法。实验是在不同环境压力下对民用飞机的全尺寸货物进行的。结果表明，所提出的方法能够在火灾早期有效检测烟雾，适用于民用飞机货物的火灾检测。