Supercharge Your Innovation With Domain-Expert AI Agents!

Alternative method for tobacco leaf and cigarette leaf group formula based on near infrared spectrum

A near-infrared spectrum and spectrum technology, which is applied in the field of cigarette product leaf group formula maintenance, can solve the problems of non-objective accuracy and inability to reflect compatibility, etc.

Active Publication Date: 2019-07-05
CHINA TOBACCO ZHEJIANG IND
View PDF11 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To a certain extent, it reflects the proximity of tobacco leaves, but the near-infrared spectrum contains a large amount of material information of tobacco leaves, but also contains a lot of external interference factors such as background, equipment, temperature and humidity, and only the Mahalanobis distance of spectral projection is used to express spectral similarity and It is not objective and accurate to extend to the similarity of tobacco leaves
Moreover, this method is only analyzed from the perspective of one-to-one substitution of tobacco leaves, and cannot reflect the characteristics of "compatibility" after the combination of tobacco leaf formulas

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Alternative method for tobacco leaf and cigarette leaf group formula based on near infrared spectrum
  • Alternative method for tobacco leaf and cigarette leaf group formula based on near infrared spectrum
  • Alternative method for tobacco leaf and cigarette leaf group formula based on near infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] The present embodiment provides a tobacco leaf substitution method based on near-infrared spectrum similarity, comprising the following steps:

[0062] Step 1) collect the infrared spectrum data of sheet tobacco sample:

[0063] Sample preparation: After sampling the tobacco slices, bake them at a temperature lower than 50°C for 4 hours to make the moisture content reach 10% to 12%. Grind them with a cyclone mill (Foss Cyclotec), and pass the sample powder through a 60-mesh sieve;

[0064] Near-infrared spectrum data collection: put an appropriate amount of tobacco powder into the sample cup, take a fixed mass weight and place it on the top of the sample, make it naturally compacted and then perform near-infrared scanning; Change the collection of near-infrared spectrometer, the collection range is 10000 ~ 4000cm -1 , with a spectral resolution of 8 cm -1 The number of scans is 72 times; the near-infrared spectrum is collected for each sample, which is divided into re...

Embodiment 2

[0093] Embodiment 2 single tobacco leaf substitution process

[0094] The calculation of the spectral similarity model obtained in Example 1 is applied to the tobacco leaf substitution process; specifically, after consumption / stock calculation of the second-class cigarette brand A in a certain quarter, 7 sheet cigarettes that need to be replaced are determined (the formula ratio is 35 %). For each target tobacco sheet, calculate the spectral similarity between each tobacco sheet in stock and its spectral similarity, sort by the size of the similarity, and give a certain number of tobacco sheet candidate sets;

[0095] Table 2 Target Lamina and the screened similar Lamina

[0096]

[0097]

[0098] Note 1: The first two letters in the cigarette code represent the origin GZ Guizhou, YN Yunnan, SC Sichuan, HB Hubei, CQ Chongqing, GX Guangxi, US, ZW Zimbabwe;

[0099] Note 2: The number in the cigarette code represents the year of production;

[0100] Note 3: The 5th digi...

Embodiment 3

[0104] Embodiment 3 auxiliary cigarette leaf group formula

[0105] The style and quality of a cigarette formula are jointly formed by the various tobacco leaves it combines. Even if the non-linear factors such as 'compatibility' are excluded, the formula leaf group (here refers to the cigarette leaf group formula) is similar to the tobacco sheet are still not completely equivalent; therefore, it is necessary to form multiple simulated formulas for different laminar combinations through computer simulation, and compare them with the target laminar combinations.

[0106] In order to obtain a similar leaf group similar to the target leaf group, tobacco leaf substitution using spectral similarity is divided into two steps, specifically:

[0107] Step 1: For the substituted target leaf group composed of multiple tobacco sheets, instead of directly solving a multi-sheet tobacco fitting spectrum similar to the target spectrum, for each tobacco sheet in the target, use the spectral s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention aims to provide an alternative method for a tobacco leaf and a cigarette leaf group formula based on a near infrared spectrum. The alternative method eliminates interference factors suchas base lines and scattering in the spectrum through adopting a locally correcting spectral preprocessing method and an integrated spectral similarity algorithm, realizes the conversion from spectralsimilarity to tobacco leaf similarity, realizes the tobacco leaf alternative method in the auxiliary cigarette leaf group formula maintenance process, reduces the smoke panel test amount of the formula maintenance personnel, and avoids the subjectivity and instability in the sensory smoke panel test process.

Description

technical field [0001] The invention belongs to the field of cigarette leaf group formulas, and in particular relates to the maintenance of cigarette product leaf group formulas, which utilizes tobacco near-infrared spectrum data and spectral similarity analysis to assist cigarette leaf group formula maintenance and product development; the invention proposes a near-infrared spectrum-based Tobacco leaf similarity feature spectrum extraction, Background technique [0002] The style and quality of cigarettes are formed by product designers through the matching of tobacco leaves of different origins, varieties and grades. After a certain raw material is used up, it is necessary to determine the replacement tobacco leaves through the screening of single-material tobacco evaluation and smoking, formula maintenance sample making and confirmation of smoking evaluation, and complete formula maintenance. Tobacco leaf substitution and recipe maintenance mainly depend on the experienc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/35G01N21/359G01N2021/3595
Inventor 李石头毕一鸣李永生张立立帖金鑫郝贤伟何文苗田雨农赵振杰廖付吴继忠王辉徐清泉
Owner CHINA TOBACCO ZHEJIANG IND
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com