A method for predicting the coefficient of variation of nicotine in a leaf conditioning process

Abstract

The present application belongs to the technical field of tobacco production and processing, and relates to a method for predicting the coefficient of variation of nicotine in a threshing and redrying process. According to actual requirements, relevant historical data is counted to form an empirical data table of the coefficient of variation of nicotine in a certain process link, and a calculation model is established according to the links and sequence of the threshing and redrying process. The method is used to solve the design of a new redrying production line or the design of modification of an existing production line. In the design of a new production line, the model is used to quickly and accurately predict the coefficient of variation of nicotine in finished tobacco strips in different process flows, thereby guiding the design of the threshing and redrying process flow.

Description

Technical Field

[0001] This invention relates to the field of tobacco production and processing technology, and more specifically, to a method for predicting the coefficient of variation of nicotine in the process of leaf threshing and re-drying. Background Technology

[0002] Leaf re-drying is a process that provides raw materials for cigarette production. The stability of the chemical composition of the tobacco leaves produced by this process plays a crucial role in the stability of cigarette quality. With the increasing need to improve cigarette quality stability, the cigarette manufacturing industry is conducting more research on improving the stability of the chemical composition of tobacco leaves produced by this process, which is also the direction for the homogenization of leaf re-drying.

[0003] The indicators for evaluating the chemical composition of tobacco sheets include the coefficient of variation of nicotine and the coefficient of variation of the sugar-alkaloid ratio, and there is a high correlation between the two. The nicotine detection method follows the industry standard "YC / T 160-2002 | Determination of Total Alkaloids in Tobacco and Tobacco Products - Continuous Flow Method" for sampling and determination. Generally, 25 samples are taken, and the coefficient of variation of nicotine in the tobacco sheets is calculated after nicotine detection. The calculation formula is as follows:

[0004] CV = σ / u, where,

[0005] ,

[0006] .

[0007] Wherein, CV is the coefficient of variation for nicotine. This represents the average nicotine content. This refers to the standard deviation of nicotine. According to current industry evaluation standards, a coefficient of variation of nicotine in finished tobacco products within 5% is considered a passing indicator, and within 4% is considered an excellent indicator.

[0008] Current research on controlling the coefficient of variation of nicotine in the tobacco leaf re-drying process mainly focuses on equipment selection and process control, with a small amount of research on nicotine prediction. For example, in the paper "Homogeneous Processing of Tobacco Leaf Re-drying Based on Online Nicotine Prediction Model" published by Wang Honglu and Wang Zhulin, the proposed model is for predicting nicotine levels in a specific re-drying line under varying raw material conditions. However, this model only has a strong reference value for established re-drying production lines.

[0009] When designing a brand-new re-drying production line, it is necessary to predict changes in the nicotine variation coefficient in a timely manner based on changes in the process design, thereby providing design guidance; or when redesigning and modifying an old re-drying production line, it is necessary to promptly diagnose problematic process links, pinpoint the root cause, and make modifications. Current technology lacks research and achievements related to these two aspects. Summary of the Invention

[0010] To address the aforementioned technical problems and fill the gap in the technology for predicting the coefficient of variation of nicotine in the leaf threshing and re-drying process, this invention discloses a method for predicting the coefficient of variation of nicotine in the leaf threshing and re-drying process.

[0011] To achieve the above-mentioned technical objectives, the present invention provides a method for predicting the coefficient of variation of nicotine in the leaf-picking and re-drying process, which adopts the following technical solution.

[0012] A method for predicting the coefficient of variation of nicotine in a leaf-picking and re-drying process includes the following steps:

[0013] Step 1: Define the process flow of leaf removal and re-drying, including the pre-leaf removal process, the leaf removal air separation process, and the post-leaf removal process. The pre-leaf removal process is referred to as Pre-leaf Removal Process 1, Pre-leaf Removal Process 2, Pre-leaf Removal Process 3, ..., Pre-leaf Removal Process n. The post-leaf removal process is referred to as Post-leaf Removal Process 1, Post-leaf Removal Process 2, Post-leaf Removal Process 3, ..., Post-leaf Removal Process n.

[0014] Step 2: Establish a computational model;

[0015] Step 3: Collect empirical data on the coefficient of variation of nicotine before and after each process, and take the upper quartile as the basic data. This includes the coefficient of variation of nicotine in tobacco leaves before and after the pre-threshing, threshing and air-sorting, and post-threshing processes. Calculate the reduction ratio of the coefficient of variation of nicotine in tobacco leaves after the pre-threshing, threshing and air-sorting, and post-threshing processes. The calculation method is: reduction value of the coefficient of variation of nicotine in tobacco leaves before and after a certain process / (coefficient of variation of nicotine in tobacco leaves before a certain process - theoretical minimum limit of the coefficient of variation of nicotine in tobacco leaves corresponding to the tobacco leaf morphology at a certain process). Establish an empirical value data table of the reduction ratio of the coefficient of variation of nicotine before and after each process.

[0016] Step 4: Substitute the data calculated in Step 3 into the calculation model in Step 2 to predict the coefficient of variation of nicotine in the finished tobacco leaves after the leaf re-drying process.

[0017] The calculation model for step two is as follows:

[0018] ;

[0019] The calculation method for CVD is formula ②:

[0020] ;

[0021] The calculation method for CVP is formula ③:

[0022] ;

[0023] CVC is the coefficient of variation of nicotine in the finished product tablets;

[0024] CVD is the coefficient of variation of nicotine in tobacco leaves after the leaf threshing and air separation process.

[0025] CVP is the coefficient of variation of nicotine in tobacco leaves before the leaf threshing and air separation process.

[0026] CV 片min This represents the theoretical minimum limit of the coefficient of variation for blended tobacco products.

[0027] CV 原min This represents the theoretical minimum limit of the coefficient of variation for blended raw tobacco.

[0028] CVY is the coefficient of variation of initial nicotine content in raw tobacco.

[0029] a1 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in step 1 before leaf pruning.

[0030] a2 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in step 2 before leaf pruning.

[0031] a3 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in step 3 before leaf pruning.

[0032] a n The percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in the pre-threshing process.

[0033] ad represents the percentage decrease in the coefficient of variation of nicotine in tobacco leaves after the leaf threshing and air separation process.

[0034] d1 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step 1 (after leaf pruning).

[0035] d2 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step 2 following leaf pruning;

[0036] d3 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step 3 following leaf pruning.

[0037] d n The percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step n following leaf threshing.

[0038] As a further improvement of the present invention, the theoretical minimum limit of the coefficient of variation (CV) of the tobacco blending is... 片min It is 3.15%.

[0039] As a further improvement of the present invention, the theoretical minimum limit of the coefficient of variation (CV) of the raw tobacco blending is... 原min The percentages are as follows: 5.4% when no segments are cut, 5.15% when two segments are cut, and 4.5% when three segments are cut.

[0040] As a further improvement of the present invention, the empirical value table of the reduction ratio of nicotine variation coefficient before and after each process established in step three is as follows:

[0041]

[0042] .

[0043] The method of this invention, based on actual needs, statistically analyzes relevant historical data to form an empirical data table of nicotine variation coefficient for a certain process step, and establishes a calculation model based on the process steps and sequence of leaf threshing and re-drying.

[0044] This invention provides a method for addressing challenges in the design of new re-drying production lines or the modification of existing ones. When designing a new production line, this model can quickly and accurately predict the coefficient of variation of nicotine in the finished tobacco leaves for different process flows, thereby guiding the design of the leaf re-drying process.

[0045] When designing and modifying existing production lines, this model can effectively diagnose problems in the process flow or its corresponding equipment.

[0046] Experimental verification shows that the accuracy rate of nicotine prediction in finished nicotine tablets using the method of this invention can reach over 94%.

[0047] The nicotine variation coefficient data table used in this invention is a comprehensive statistical result of multiple devices, and therefore only has general representativeness.

[0048] If a process flow consisting of specific equipment or process methods is used, and an empirical data table of nicotine variation coefficients accurately measured for each piece of equipment or process method in that process is used as the basis for calculation, then the predicted nicotine variation coefficient of the finished product tablets for that process will be more accurate. Attached Figure Description

[0049] none. Detailed Implementation

[0050] To enable those skilled in the art to better understand the technical solution of the present invention, a detailed description is provided below in conjunction with specific embodiments.

[0051] Example 1

[0052] Based on the designed leaf-cutting and re-drying process flow, the following steps are defined in sequence: pre-leaf-cutting process step 1, pre-leaf-cutting process step 2, pre-leaf-cutting process step 3, ..., pre-leaf-cutting process step n; leaf-cutting air separation process; and post-leaf-cutting process step 1, post-leaf-cutting process step 2, post-leaf-cutting process step 3, ..., post-leaf-cutting process step n.

[0053] Tobacco leaves were sampled at the outlet of each process stage, with 30 kg taken from each outlet. The materials were thoroughly mixed without damaging them, and then divided into 25 samples using the quartering method. The nicotine content of each sample was measured, and the coefficient of variation of nicotine was calculated for these 25 samples. This yielded the theoretical minimum limit of the coefficient of variation of nicotine for each process stage, excluding raw tobacco. The results are presented in Table 1.

[0054] Table 1:

[0055]

[0056] Example 2

[0057] To verify the effectiveness of the method of the present invention, the following verification experiment was designed.

[0058] A tobacco leaf re-drying enterprise is about to undergo a relocation and technological upgrade. Based on the upgrade requirements, two process flows have been designed, namely process flow 1 and process flow 2. Now, it is necessary to evaluate the coefficient of variation of nicotine in the finished tobacco leaf under the two process flows.

[0059] The method of this invention is used to predict the coefficient of variation of nicotine in finished nicotine tablets under two different process flows, and then compare the coefficient of variation of nicotine in finished nicotine tablets under the two process flows.

[0060] First, the two designed leaf-re-drying process steps include the pre-leaf-removal process, the leaf-removal air separation process, and the post-leaf-removal process.

[0061] The pre-leaf removal process includes pre-leaf removal process 1, pre-leaf removal process 2, pre-leaf removal process 3, pre-leaf removal process 4, and pre-leaf removal process 5.

[0062] The post-leaf removal process consists of post-leaf removal process 1, post-leaf removal process 2, post-leaf removal process 3, and post-leaf removal process 4.

[0063] The sequence of steps for each process is shown in Table 2.

[0064] Table 2:

[0065] ;

[0066] Then, the coefficient of variation of nicotine in tobacco leaves before and after each stage of processing was collected under the two processes, and the reduction ratio of the coefficient of variation of nicotine in tobacco leaves after the pre-threshing process, the threshing air separation process, and the post-threshing process was calculated.

[0067] Correspondingly, the coefficient of variation of nicotine in tobacco leaves decreased by a1 after treatment in step 1 of the pre-leaf pruning process, a2 after treatment in step 2 of the pre-leaf pruning process, a3 after treatment in step 3 of the pre-leaf pruning process, a4 after treatment in step 4 of the pre-leaf pruning process, and a5 after treatment in step 5 of the pre-leaf pruning process.

[0068] After the leaf threshing and air separation process, the coefficient of variation of nicotine in tobacco leaves decreased by ad%.

[0069] After processing step 1 (after leaf pruning), the coefficient of variation of nicotine in tobacco leaves decreased by d1. After processing step 2 (after leaf pruning), the coefficient of variation of nicotine in tobacco leaves decreased by d2. After processing step 3 (after leaf pruning), the coefficient of variation of nicotine in tobacco leaves decreased by d3. After processing step 4 (after leaf pruning), the coefficient of variation of nicotine in tobacco leaves decreased by d4.

[0070] The reduction rate of the coefficient of variation of nicotine in tobacco leaves after processing through process steps 1 and 2 was calculated, as shown in Tables 3 and 4, respectively.

[0071] Table 3:

[0072] ;

[0073] Table 4:

[0074] ;

[0075] Based on the above two process designs, assuming the initial nicotine variation coefficient (CVY) of the raw tobacco is 12.500%, the results of the calculations using this invention are as follows:

[0076] The results of the coefficient of variation of nicotine in tobacco leaves after processing in each step of process 1 are shown in Table 5.

[0077] Table 5:

[0078] ;

[0079] The results of the coefficient of variation of nicotine in tobacco leaves after each process step in process 2 are shown in Table 6.

[0080] Table 6:

[0081] ;

[0082] According to the calculation results, after the leaves were packaged in Process 1, the coefficient of variation for nicotine was 3.832%, with most tobacco leaves achieving an excellent level of nicotine variation. In Process 2, after the leaves were packaged, the coefficient of variation for nicotine was 4.12%, with approximately half of the tobacco leaves achieving an excellent level of nicotine variation.

[0083] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for predicting the coefficient of variation of nicotine in a leaf-picking and re-drying process, characterized in that, Includes the following steps: Step 1: Define the process flow of leaf removal and re-drying, including the pre-leaf removal process, the leaf removal air separation process, and the post-leaf removal process. According to the order of the process flow, the pre-leaf removal process is defined as pre-leaf removal process 1, pre-leaf removal process 2, pre-leaf removal process 3, ..., pre-leaf removal process n, and the post-leaf removal process is defined as post-leaf removal process 1, post-leaf removal process 2, post-leaf removal process 3, ..., post-leaf removal process n. Step 2: Establish a computational model; Step 3: Collect empirical data on the coefficient of variation of nicotine before and after each process, and take the upper quartile as the basic data. This includes the coefficient of variation of nicotine in tobacco leaves before and after the pre-threshing, threshing and air-sorting, and post-threshing processes. Calculate the reduction ratio of the coefficient of variation of nicotine in tobacco leaves after the pre-threshing, threshing and air-sorting, and post-threshing processes. The calculation method is: reduction value of the coefficient of variation of nicotine in tobacco leaves before and after a certain process / (coefficient of variation of nicotine in tobacco leaves before a certain process - theoretical minimum limit of the coefficient of variation of nicotine in tobacco leaves corresponding to the tobacco leaf morphology at a certain process). Establish an empirical value data table of the reduction ratio of the coefficient of variation of nicotine before and after each process. Step 4: Substitute the data calculated in Step 3 into the calculation model in Step 2 to predict the coefficient of variation of nicotine in the finished tobacco leaves after the leaf re-drying process. The calculation model for step two is as follows: ； The calculation method for CVD is shown in Formula ②: ； The calculation method for CVP is formula ③: ； CVC is the coefficient of variation of nicotine in the finished product tablets; CVD is the coefficient of variation of nicotine in tobacco leaves after the leaf threshing and air separation process. CVP is the coefficient of variation of nicotine in tobacco leaves before the leaf threshing and air separation process. CV 片min This represents the theoretical minimum limit of the coefficient of variation for blended tobacco products. CV 原min This represents the theoretical minimum limit of the coefficient of variation for blended raw tobacco. CVY is the coefficient of variation of initial nicotine content in raw tobacco. a1 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in step 1 before leaf pruning. a2 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in step 2 before leaf pruning. a3 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in step 3 before leaf pruning. a n The percentage reduction in the coefficient of variation of nicotine in tobacco leaves after treatment in the pre-threshing process. ad represents the percentage decrease in the coefficient of variation of nicotine in tobacco leaves after the leaf threshing and air separation process. d1 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step 1 (after leaf pruning). d2 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step 2 following leaf pruning; d3 represents the percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step 3 following leaf pruning. d n The percentage reduction in the coefficient of variation of nicotine in tobacco leaves after processing step n following leaf threshing.

2. The method for predicting the coefficient of variation of nicotine in the leaf-cutting and re-drying process according to claim 1, characterized in that, The theoretical minimum limit of the coefficient of variation (CV) for the blending of tobacco leaves 片min It is 3.15%.

3. The method for predicting the coefficient of variation of nicotine in the leaf-picking and re-drying process according to claim 1, characterized in that, The theoretical minimum limit of the coefficient of variation of the raw tobacco blending is CV. 原min The percentages are as follows: 5.4% when no segments are cut, 5.15% when two segments are cut, and 4.5% when three segments are cut.

4. The method for predicting the coefficient of variation of nicotine in the leaf-cutting and re-drying process according to claim 1, characterized in that, The empirical value table of the reduction ratio of nicotine variation coefficient before and after each process established in step three is as follows: ； 。

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