Processing method and processing system for sensory and smoking evaluation data of tobacco leaf products

Abstract

The invention discloses a processing method and a processing system for sensory and smoking evaluation data of tobacco leaf products. The method includes the steps of obtaining sensory and smoking evaluation data of the individuals, constructing a plurality of training data subsets through monte carlo sampling, so that the correlation of the sensory and smoking evaluation indexes in pairs is calculated, and the representativeness of the samples is improved, checking the abnormal sampling through a statistical method, and reversely deriving abnormal samples of the sensory and smoking evaluationdata. The invention provides a data evaluation method based on correlation between sensory and smoking evaluation indexes, the reliability of the smoking evaluation data is evaluated, and abnormal data in the smoking evaluation data is found out and removed. The accuracy and effectiveness of the smoking evaluation data of the tobacco products are improved, the use efficiency of the smoking evaluation data is improved, and the workload of the evaluation personnel is reduced.

Description

technical field [0001] The invention belongs to the field of quality detection and quality control of tobacco leaf products, and in particular relates to a method for judging the quality stability of tobacco leaf products through sensory evaluation and smoking. Background technique [0002] The national cigarette standard "GB T 5606.6-2005 Cigarette Part 6: Comprehensive Judgment of Quality" stipulates that the sensory evaluation of smoking quality is a mandatory technical requirement: if there is a class A quality defect in the sensory quality, the batch of cigarettes will be judged as unqualified. Therefore, the quality of sensory evaluation smoking is an important indicator for tobacco workers to evaluate tobacco products, and the reliability of sensory evaluation data will directly affect the final quality of tobacco products. [0003] Today, the evaluation of the quality of tobacco leaf products is to select a certain number of professionals with rich experience and div...

AI Technical Summary

Problems solved by technology

However, in the actual process of sensory evaluation and smoking, it is impossible to evaluate and smoke each tobacco leaf sample multiple times from the beginning to the end. On the one hand, because the workload of smoking evaluation is too large, it is very easy to bring its own sensory fatigue and cause deviations in the evaluation data; On the other hand, because the selection of multiple evaluations involves the standardization of samples, the standardization of sampling and sample preparation is likely to cause random deviations.

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