基于高光谱检测的烟丝加香均匀性表征方法
Characterizing flavoring uniformity in tobacco based on hyperspectral detection
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摘要: 针对目前烟丝中香精含量及加香均匀性检测方法存在的过程复杂、准确性低、对人员要求高且无法适应在线大规模实时监测需求等问题,建立了一种基于高光谱检测的烟丝加香均匀性的表征方法。该方法利用自研高光谱系统采集烟丝加香前后的荧光高光谱图像,并对荧光高光谱图像进行加权解混,根据解混系数建立烟丝香精含量的表征指数R,并采用R的变异系数CV来表征烟丝加香均匀性。以实际生产线上的加香烟丝为对象进行验证发现:R的大小与烟丝中香精含量呈正相关关系,根据CV能准确判定烟丝香精的施加均匀性情况。该方法可用于烟丝实际生产过程中未知样品加香品质的检测和监控。Abstract: To address the issues of complexity, low accuracy, high personnel requirements, and inability to adapt to the demand for large-scale real-time monitoring in the current detection methods for flavoring content and uniformity in tobacco, a characterization method for the uniformity of flavoring in tobacco based on hyperspectral detection had been developed. The method utilized a self-developed hyperspectral system to capture fluorescence hyperspectral images of tobacco before and after flavoring, and performed weighted unmixing on the fluorescence hyperspectral images. Based on the unmixing coefficients, a characterization index R for the content of flavoring applied to tobacco leaves was established, and the coefficient of variation (CV) of R was used to represent the uniformity of flavoring in the tobacco. Verification conducted on flavored tobacco leaves from actual production lines, it was found that the magnitude of R was positively correlated with the content of flavoring in the tobacco, and the CV could accurately determine the uniformity of flavoring in the tobacco. This method could be used for the detection and monitoring of flavoring quality of an known fragrance samples in the actual production process of tobacco.
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