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Method for quickly discriminating ice blast type for cigarette

A technology of explosive beads for cigarettes, which is applied in the direction of measuring devices, material analysis through optical means, instruments, etc., can solve problems such as methods or methods that have no good effects in the evaluation of explosive beads for cigarettes, and achieve the elimination of noise and interference , Fast analysis speed and strong penetrating ability

Pending Publication Date: 2019-02-19
CHINA TOBACCO SHAANXI IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The evaluation of popping beads for cigarettes is limited to physical indicators such as the diameter of the popping beads, the thickness of the rubber, the crushing pressure and the appearance evaluation
Due to the high degree of automation in cigarette production, there are few reports on the rapid evaluation of the quality of puffed beads for cigarettes through the inclusions, and there is currently no method or method that has a good effect on the evaluation of puffed puffs for cigarettes

Method used

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  • Method for quickly discriminating ice blast type for cigarette
  • Method for quickly discriminating ice blast type for cigarette
  • Method for quickly discriminating ice blast type for cigarette

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example 1

[0094] The near-infrared spectra of the three types of popping beads were collected and tested on different days. A batch of samples was tested 3 times. Wave number setting range 10000cm -1 ~4520cm -1 , the data is prioritized regardless of preprocessing. The results corresponding to the sample numbers of different calibration sets selected by K-S are shown in Table 5 below. It can be found that by selecting different calibration set samples through K-S, when the number of selected samples reaches 60 or 70, the prediction accuracy rate for the validation set samples is 100%, indicating that the model has the ability to use value. However, when the number of samples is 50, the accuracy rate drops, indicating that there are interference factors in the spectral data during modeling.

[0095] Table 5 The relationship between the number of samples in the calibration set without preprocessing and the accuracy rate

[0096]

Embodiment example 2

[0098] The near-infrared spectra of the three types of popping beads were collected and tested on different days. A batch of samples was tested 3 times. Wave number setting range 10000cm -1 ~4520cm -1 . Due to the instrument and other reasons, the spectral data generally has noise or interference components in the data. The results are shown in Table 6 below. The data can be preprocessed to improve the robustness of the model. The preprocessing method chosen in this example is the Savitzky-Golay first derivative (9-point method). When the number of samples is selected as 30, the accuracy reaches 100%, indicating that the noise of the spectral data is effectively deducted and the robustness of the calibration model is improved.

[0099] Table 6 The relationship between the number of samples in the preprocessed calibration set and the accuracy rate

[0100]

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Abstract

The invention discloses a method for quickly discriminating the type of ice blast for cigarettes, comprising the following steps of: collecting the original spectra for different types of cigarettes,and establishing standard samples of different types of ice blast for cigarette; performing pre-treatment on the original spectrum of the different types of ice blast for cigarette collected to eliminate various noises and interferences, and reducing the influence of unevenness of the sample surface; further establishing a classification model for spectra for different types of cigarettes after pre-treatment; identifying the ice blast to be tested using the classification model. The near-infrared spectroscopy is not only suitable for quality control and quantitative analysis of product components, but also possible to use the composition and structural information reflected by the spectrum for qualitative discrimination. It can quickly and accurately determine the type of ice blast for cigarette. The sample does not require complex pre-treatment, the analysis speed of the sample is fast, non-destructive, the operation is simple and convenient, and the model prediction accuracy is high.A preliminary exploration of the rapid analysis of the category of ice blast for cigarettes is provided, and further technical support can be provided for the quality analysis of the ice blast for cigarettes.

Description

technical field [0001] The invention belongs to the technical field of cigarette material analysis, and relates to a method for quickly distinguishing the type of popping beads for cigarettes. Background technique [0002] The addition of popping beads for cigarettes in cigarette filter rods can reduce the impact of the external environment on the taste and the loss of aroma, and realize the artificially controllable release of characteristic aroma during cigarette smoking, which can improve the taste of cigarettes and make up for and enhance the aroma of cigarettes. , highlighting the cigarette style plays an important role. Therefore, the development and research of cigarette popping beads are of great significance to the development of cigarette enterprises. At present, the research on popping beads for cigarettes is mainly the development and preparation of the contents of new popping beads for cigarettes, the effect of popping beads for smoking on the release of harmfu...

Claims

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Application Information

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IPC IPC(8): G01N21/359
CPCG01N21/35
Inventor 何媛李小斌彭军仓黄扬明张凤侠张萌萌康世平孙赵麟何育萍师金鸽王颖闵顺耕
Owner CHINA TOBACCO SHAANXI IND
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