【摘要】 为提高舰船火灾的早期探测和报警能力，满足其在作战和航行中对快速反应、高灵敏度及强抗干扰火焰探测的需求，基于舰船典型烃类油品和干扰源，搭建光谱测量平台，获取烃类油品火焰的光谱特征以及典型干扰源的光谱特征，并对不同油品火焰光谱的特征及燃烧尺度对光谱特征的影响进行对比分析。通过对比干扰源与油品的光谱特征，确定4.35μm中心波长、0.2μm半波宽带作为火焰探测波段，3.8μm中心波长、0.2μm半波宽带作为干扰探测波段。研究结果表明：基于这2波段特征信号的火焰识别算法能够有效区分火焰与干扰源，提出的火焰识别方法适用于舰船典型火灾的早期探测。研究结果有助于提高探测的准确性和抗干扰能力。更多还原

【Abstract】 In order to enhance the early detection and alarm capabilities for ship fires and meet the requirements for rapid response, high sensitivity, and strong anti-interference flame detection during combat and navigation, a spectral measurement platform was established based on typical ship hydrocarbon oils and interference sources.This platform was employed to acquire the spectral characteristics of hydrocarbon oil flames and typical interference sources, followed by a comparative analysis of the spectral features of different oil flames and the influence of combustion scale on these characteristics.By comparing the spectral characteristics of interference sources and hydrocarbon oils, a center wavelength of 4.35 μm with a half-wave bandwidth of 0.2 μm was identified as the flame detection band, while a center wavelength of 3.8 μm with a half-wave bandwidth of 0.2 μm was designated as the interference detection band.The results demonstrate that the flame recognition algorithm based on the characteristic signals of these two bands can effectively distinguish between flames and interference sources.The proposed flame recognition method is suitable for the early detection of typical ship fires.These findings contribute to improving detection accuracy and anti-interference capabilities.更多还原