Tobacco raw material classifying and grouping method
A technology of classification method and grouping method, which is applied to tobacco, analyzing materials, preparing tobacco, etc., can solve problems such as scientific and reasonable combination standards, and achieve the effect of improving quality and rational utilization
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2013-02-13
Smart Images
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Abstract
Description
technical field
[0001] The invention belongs to the field of tobacco utilization, and in particular relates to a method for classifying tobacco leaves and a method for grouping tobacco leaves. Background technique
[0002] Tobacco leaf raw material is the basic material of cigarettes and the first workshop of cigarette production. Due to the differences in tobacco leaf growth factors such as altitude, temperature, and light in different regions, the different growth conditions such as soil, water and fertilizer, and the differences in tobacco leaf varieties and growth parts , The quality of tobacco leaf raw materials of the same grade varies greatly. How to use them reasonably and scientifically classify and group tobacco leaf raw materials has always been one of the key and difficult issues in the research of tobacco leaves as industrial processing raw materials.
[0003] Chinese patent CN1830335A discloses that a number of different grades of tobacco leaves with the same o...
Examples
Embodiment Construction
[0017] In this embodiment, the classification and grouping of flue-cured tobacco leaves of the same year and the same grade in 29 representative points in the tobacco leaf raw material planting area is taken as an example for illustration.
[0018] Step 1): PCA multi-index compression
[0019] Generally speaking, there are many indicators to describe the ecological characteristics of tobacco raw material planting areas, and both geographical and meteorological aspects should be considered. To this end, 10 representative indicators were selected, including altitude, sunshine, accumulated temperature ≥10°C, average temperature in May, July, and September, annual precipitation, precipitation from May to September, longitude, and latitude, and recorded them respectively. X1, X2, ..., X10, see Table 1 for specific data.
[0020] Table 1. Index values of ecological characteristics of representative points
[0021]
[0022] .
[0023] The DPS software was used to conduct prin...