Sensory evaluation method for spectral data of mainstream smoke of cigarettes

Abstract

The invention discloses a sensory evaluation method for cigarette mainstream smoke spectral data. The method comprises the following steps: enhancing the cigarette mainstream smoke spectral data of a plurality of cigarettes; extracting shallow spectral features from the cigarette mainstream smoke spectral data; based on the cigarette mainstream smoke spectral data and the shallow spectral characteristics, obtaining a shallow sensory quality result of the cigarette mainstream smoke spectral data; extracting deep spatial features from the cigarette mainstream smoke spectrum data; obtaining a deep sensory quality result based on the cigarette mainstream smoke spectrum data and the deep spatial characteristics; and obtaining a comprehensive sensory quality result according to the shallow sensory quality result and the deep sensory quality result. According to the sensory evaluation method for the spectral data of the mainstream smoke of the cigarettes, the spectral features and the spatial features are extracted from shallow to deep, the sensory evaluation result of the mainstream smoke of the cigarettes is automatically and directly obtained by fusing a spectrum-spatial classification framework, and accurate screening of unknown substances in the mainstream smoke is achieved.

Description

technical field [0001] The invention relates to the technical field of quality evaluation of tobacco products, in particular to a sensory evaluation method for mainstream smoke spectral data of cigarettes. Background technique [0002] Cigarettes are a special smoking consumer product, and the content of key components in mainstream smoke directly affects the quality and taste of cigarettes. How to effectively quantify the correlation between smoke components and sensory evaluation to achieve accurate product evaluation has become an important issue in the tobacco industry. Key technical bottlenecks that need to be resolved urgently. [0003] At present, the sensory evaluation method for mainstream cigarette smoke spectrum data is obtained through expert evaluation, that is, the sensory evaluation is obtained by professionals smoking cigarettes and scoring the corresponding scoring items. This sensory evaluation method relies on manual work, and the manual evaluation is aff...

AI Technical Summary

Problems solved by technology

This sensory evaluation method relies on manual work, and the manual evaluation is affected by the sensory evaluation personnel's own factors and the external environment, which brings uncertain factors to the cigarette evaluation results. Problems such as cumbersomeness, low efficiency, and unstable sensory evaluation results

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