CIGARETTE MAINSTREAM SMOKE SPECTRAL DATA SENSORY EVALUATION METHOD

• Main Authors: FAN, Duoqing, LI, Chao, SU, Yang, WANG, Hui, WANG, Lu, QIN, Yunhua, LIU, Wei, GAO, Wenjun, WU, Yiqin
• Format: Patent
• Language: English; French; German
• Published: 14.06.2023
• Subjects: CALCULATING; CIGARETTES; CIGARS; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HUMAN NECESSITIES; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MACHINES FOR MAKING CIGARS OR CIGARETTES; MEASURING; PHYSICS; SMOKERS' REQUISITES; TESTING; TOBACCO

The present invention provides a sensory evaluation method for spectral data of mainstream smoke. The method includes: performing a data enhancement on spectral data of mainstream smoke of a plurality of cigarettes; extracting a shallow spectral characteristic from the spectral data of the mainstream smoke of each cigarette; obtaining a shallow sensory quality result of the spectral data of the mainstream smoke of each cigarette based on the spectral data of the mainstream smoke of each cigarette and the shallow spectral characteristic; extracting deep spatial characteristics from the spectral data of the mainstream smoke of each cigarette; obtaining a deep sensory quality result based on the spectral data of the mainstream smoke of each cigarette and the deep spatial characteristics; obtaining a comprehensive sensory quality result according to the shallow sensory quality result and the deep sensory quality result. In the present invention, the sensory evaluation method for the spectral data of the mainstream smoke respectively extracts spectral and spatial characteristics from the shallower to the deeper, and automatically and directly obtains the sensory evaluation results of the mainstream smoke by a fused spectrum-spatial classification framework, so as to achieve accurate screening of unknowns in the mainstream smoke.