A method for controlling uniformity of feeding in cigarette shred processing

Abstract

The present invention provides a method for controlling the uniformity of feeding in the process of making cigarette shreds. The process of making cigarette shreds includes the following steps in sequence: loosening and rehydrating, pre-distributing leaves for storage, screening, quantitative feeding, moistening and feeding, and leaf storage. After the loosening and rehydrating step, the weight of the loosened tobacco entering the cabinet is first measured, and then the tobacco leaves are put into the cabinet as a whole for pre-distributing leaves for storage. The method is applied to the process of moistening and feeding, and the feeding control is divided into two sections: the first section of feeding control includes: establishing a first-order strong correlation between the weight of the loosened tobacco entering the cabinet and the weight before feeding to obtain a conversion coefficient, calculating the first section of feeding ratio setting according to the conversion coefficient and the weight of the batch of materials, and performing feeding control. The second section adopts a compensatory feeding thinking to perform feeding ratio control. By adopting a two-stage staged precise control of the feeding system, while ensuring the uniformity of feeding, the fluctuation of the instantaneous accuracy of the system is reduced, thereby reducing the error of the entire system and avoiding uneven feeding between batches.

Description

Technical Field

[0001] The present invention belongs to the field of tobacco shred processing, and in particular relates to a method for controlling feeding uniformity in a cigarette shred processing process based on big data. Background Art

[0002] The existing feeding ratio setting is mainly based on the percentage of the weight of each batch of each brand and the theoretical weight of the feeding inlet. The normal and stable batch feeding inlet weight in the production process is manually statistically analyzed to give a reference feeding ratio for control. This method of maintenance is cumbersome. If the maintenance is not timely, the feeding accuracy is likely to be poor, resulting in a large deviation in the batch feeding weight and uneven feeding between batches, which cannot effectively reflect the intelligent and precise control of silk processing.

[0003] Taking the 7 batches of cigarettes of the same brand produced by the factory as an example, the average values ​​of various indicators of the 7 batches are as follows:

[0004]

[0005] According to the existing method, before the eighth batch of production of the Runye feeding process, the information that can be obtained is as follows:

[0006]

[0007] Based on the above data, it is estimated that the cumulative amount of Runye feeding inlet material for the 8th batch of materials is 10315.56. According to 395.2÷10315.56×100%=3.83%, the feeding ratio setting value is calculated to be 3.83.

[0008] Since the 8th batch of feeding inlet material cumulative amount 10315.56 is an estimated value, it is usually different from the actual value. When the estimated value is less than the actual value, there is sugar left after the production is completed; when the estimated value is greater than the actual value, there is not enough sugar. In order to prevent these two situations, the operator will constantly adjust the feeding ratio in the later stage of production, and the adjustment range can be as high as ±0.05% or more, which leads to poor feeding accuracy, large deviation of batch feeding weight, uneven feeding between batches, etc. Summary of the invention

[0009] In view of the shortcomings of the above-mentioned technology, the purpose of the present invention is to provide a method for controlling the uniformity of feeding in the process of cigarette shred processing. By adopting two-stage precise control of the feeding system, while ensuring the uniformity of feeding, the fluctuation of the instantaneous accuracy of the system is reduced, thereby reducing the error of the entire system and avoiding uneven feeding between batches.

[0010] The present invention discloses a method for controlling uniformity of feeding in a tobacco shred processing process. The tobacco shred processing process sequentially includes: loosening and moistening, pre-arrangement and storage of leaves, screening, quantitative feeding, moistening and feeding of leaves, and leaf storage. After the loosening and moistening process, the weight of the tobacco leaves entering the cabinet after the loosening and moistening process is first measured, and then the tobacco leaves are put into the cabinet as a whole for pre-arrangement and storage of leaves. The method is applied to the moistening and feeding process, and the feeding control is divided into one-stage feeding and two-stage feeding.

[0011] The conversion coefficient is obtained by establishing a first-order strong correlation between the weight of the batch after the loosening and moisture regaining process and the weight before the addition. The conversion coefficient is equal to the average value of the ratio of the weight before the addition of each batch to the weight of the batch after the loosening and moisture regaining process.

[0012] The feeding ratio of one section is calculated based on the conversion coefficient and the weight of the batch material, and the feeding of one section is controlled. The feeding ratio of one section = the weight of the batch material ÷ (the weight of the cabinet after the loosening and moisture regaining process * the conversion coefficient) * 100%;

[0013] The first stage of feeding production continues until the moisture of the feeding outlet of the batch of materials is collected at the leaf moistening feeding outlet. The conversion coefficient is optimized according to the weight of the cabinet after the loosening and rehydration process, the moisture at the loosening and rehydration outlet, the pre-dispensing leaf storage time, and the moisture at the feeding outlet. Then the second stage of feeding is entered according to the optimal conversion coefficient.

[0014] Second stage feeding ratio = (batch weight - weight of added materials) ÷ (weight of moistening material entrance * optimal conversion coefficient - weight of added tobacco leaves) * 100%. (The weight of added tobacco leaves is the weight of tobacco leaves after the first stage of feeding)

[0015] Preferably, the optimization conversion coefficient is obtained in the following manner: according to the weight of the cabinet after the loosening and rehydration process, the moisture content at the loosening and rehydration outlet, the pre-dispensing leaf storage time, the moisture content at the feeding outlet and other data, a regression equation is obtained through regression analysis:

[0016] The weight of the moistening leaf feeding inlet = A + B × the weight of the cabinet after the loosening and rehydration process + C × the moisture content at the loosening and rehydration outlet - D × the pre-mixed leaf storage time + E × the moisture content of the material at the feeding outlet;

[0017] Among them: A is the basic weight constant, B is the loose moisture resuspension export weight coefficient, C is the loose moisture resuspension export moisture correlation coefficient, D is the pre-mixed leaf storage time correlation coefficient, and E is the added material moisture correlation coefficient. The above constants or coefficients are related to the brand, production time, and production environment, and are obtained by regression analysis of historical data;

[0018] According to the re-estimated inlet weight of the moistening leaf feed, calculate the best conversion coefficient = inlet weight of the moistening leaf feed ÷ weight of the feed into the cabinet after the loosening and moisture regaining process * 100%;

[0019] Calculate the optimal conversion coefficient based on the best conversion coefficient: optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2.

[0020] During the production process, the MES system collects the basic big data such as the moisture content at the outlet of loose rehumidification of each batch, the weight entering the cabinet after the loose rehumidification process, the pre-allocated leaf storage time, the moisture content of the materials at the feeding outlet and the weight of the feeding inlet for moistening the leaves. The system can learn autonomously through the conversion coefficient model according to the established rules, derive the regression equation through regression analysis, calculate the best conversion coefficient, and optimize the conversion coefficient, thereby improving the feeding accuracy.

[0021] Preferably, the optimal conversion coefficient is obtained in the following manner: collecting the weight after feeding and the moisture at the feeding outlet, and calculating the weight of the moistening feeding inlet according to the weight after feeding and the moisture at the feeding outlet;

[0022] According to the re-estimated inlet weight of moistening leaf feed, calculate the best conversion coefficient = inlet weight of moistening leaf feed ÷ weight of feed into cabinet after loosening and moistening process * 100%;

[0023] Calculate the optimal conversion coefficient based on the best conversion coefficient: optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2.

[0024] Preferably, the optimal conversion coefficient is obtained in the following manner: the moisture at the feeding outlet is collected at the feeding outlet, and the weight of the feeding inlet is adjusted according to the relationship between the moisture at the feeding outlet and the moisture at the feeding outlet of previous batches and the weight of the feeding inlet, and the optimal conversion coefficient is calculated = the weight of the feeding inlet of the leaves moistening ÷ the weight of the cabinet after the loosening and rehumidification process * 100%;

[0025] Then calculate the optimal conversion coefficient based on the best conversion coefficient: optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2.

[0026] Preferably, after entering the second-stage feeding production, the optimal conversion coefficient is calculated and corrected according to a preset period.

[0027] More preferably, the preset period is every 15 seconds, and the preset period is the time interval for MES system data collection)

[0028] Preferably, the batch weight is read from the corresponding process standard of the MES system according to the product specification and brand number of the production work order when placing the production work order.

[0029] Preferably, the production data is collected at a preset time interval (for example, 15 seconds), and the cumulative increment of the material at the feeding inlet, the cumulative increment of the feeding, the instantaneous feeding ratio and the feeding accuracy are calculated at each time interval.

[0030] More preferably, the feeding accuracy change is determined to be abnormal if it exceeds 0.5%. The feeding accuracy abnormality refers to the feeding accuracy within the batch.

[0031] More preferably, the feeding accuracy anomaly is pushed through the APP, so that relevant personnel can analyze and improve it in time, fill in the cause of the anomaly in the system, and take corrective and preventive measures.

[0032] The method for controlling the uniformity of feeding in the process of cigarette shred processing of the present invention can not only realize the integrity and stability of batch feeding by performing proportional control of feeding in two stages, but also improve the feeding control accuracy of shred processing.

[0033] During the production process, the MES system collects the weight of each batch before adding materials, the moisture at the outlet of the loose rehydration process, the leaf storage time, and the strong correlation between the moisture at the inlet of the feeding as basic big data. The system autonomously learns according to the established rules through the model, while ensuring the uniformity of the feeding, reducing the fluctuation of the system's instantaneous accuracy, thereby reducing the error of the entire system and avoiding uneven feeding between batches.

[0034] Abnormal addition of materials during the process can be promptly pushed to relevant personnel through the APP, and timely analysis and improvement can be carried out to improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of a processing process involved in the present invention

[0036] Figure 2 A method for controlling the uniformity of feeding during the cigarette making process

[0037] Figure 3 Another schematic diagram of the processing technology involved in the present invention

[0038] Figure 4 Another method for controlling the uniformity of feeding during the cigarette making process

[0039] Description of main component symbols:

[0040] Conversion coefficient Cc

[0041] Weight before adding Mb

[0042] The average value of the ratio of MrAverage to the weight of the cabinet after the loosening and moisture regaining process Mrx

[0043] One-stage feeding ratio setting Pro1

[0044] Batch weight Msb

[0045] Weight of the loosened goods after the moisture recovery process Mrx

[0046] Optimal conversion coefficient OptCc

[0047] Optimal conversion factor RCc

[0048] Two-stage feeding ratio setting Pro2

[0049] Applied material weight MsbAdd

[0050] The change in weight of the whole batch of tobacco leaves caused by the storage process c

[0051] Cigarette dust weight d

[0052] Cigarette weight DETAILED DESCRIPTION

[0053] In order to clearly describe the method for controlling the uniformity of feeding in the process of making cigarette shreds of the present invention, it is now further described in conjunction with the accompanying drawings.

[0054] like Figure 1 , Figure 2 As shown, a method for controlling the uniformity of feeding in a cigarette shred processing process of the present invention, the cigarette shred processing process sequentially includes: loosening and rehumidification, pre-mixing storage leaves, screening, quantitative feeding, leaf moistening and feeding, leaf storage steps, and this method is applied to the leaf moistening and feeding step.

[0055] After the loosening and rehydration process, the MES system records the moisture at the outlet of the loosening and rehydration process and the weight of the cabinet after the loosening and rehydration process. When the tobacco leaves are put into the cabinet for pre-allocation and storage, the pre-allocation and storage time is recorded. The MES system also collects the moisture at the inlet and outlet of the feeding in real time. Before the feeding process is carried out on this batch, the average moisture at the outlet of the loosening and rehydration process, the pre-allocation and storage time, and the ambient temperature and humidity of the storage environment of the previous batches can be obtained. The sugar material application equipment of the MES system is equipped with a flow meter to record the weight of the applied material MsbAdd in real time.

[0056] The tobacco dust screened out during the screening process is treated as waste. The screened fragments are not added to the feed, but directly bypass the feeder and are mixed back into the tobacco leaves that have been fed. The screened tobacco dust will also affect the weight of the feed inlet and ultimately affect the uniformity of the feed.

[0057] The invention discloses a method for controlling uniformity of feeding in a cigarette shred processing process, which divides feeding control into one-stage feeding and two-stage feeding.

[0058] The conversion coefficient is obtained by establishing a first-order strong correlation between the weight of the material entering the cabinet after the loosening and moisture regaining process and the weight before the material addition. The conversion coefficient Cc (Conversion coefficient) is equal to the average value MrAverage of the ratio of the weight before the material addition Mb of each batch to the weight of the material entering the cabinet after the loosening and moisture regaining process Mrx of the batch.

[0059] Formula 1: Cc = Average (Mb / Mrx)

[0060] According to the conversion coefficient Cc and the batch weight Msb, the feeding ratio Pro1 of one section is calculated to control the feeding of one section. The feeding ratio Pro1 of one section = batch weight Msb ÷ (the weight of the cabinet after the loosening and moisture regaining process Mrx * conversion coefficient Cc) * 100%,

[0061] Formula 2: Pro1 = Msb / (Mr*Cc)*100%

[0062] When placing a production work order, the batch material weight Msb corresponding to the process standard can be read from the MES system based on the production work order specification and brand.

[0063] The first stage of feeding production continues until the moisture content of the batch of materials is collected at the leaf moistening feeding outlet. The conversion coefficient is optimized based on the weight entering the cabinet after the loosening and rehydration process, the moisture content at the loosening and rehydration outlet, the pre-leaf storage time, and the moisture content at the feeding outlet. Then the second stage of feeding is entered based on the optimal conversion coefficient.

[0064] The method for optimizing the conversion coefficient is: when only the moisture content at the feeding outlet is collected, the estimated weight of the feeding inlet for moistening leaves is adjusted based on the changes in the moisture content at the feeding outlet and the relationship between the moisture content at the feeding outlet and the weight of the feeding inlet of previous batches, and then the conversion coefficient is recalculated as the optimal conversion coefficient based on the adjusted estimated weight of the feeding inlet for moistening leaves.

[0065] When Figure 1 As shown, when a feeding outlet weight collection device is provided at the feeding outlet, the method for optimizing the conversion coefficient can also be: reversely inferring the moistening leaf feeding inlet weight based on the feeding outlet moisture and feeding outlet weight, and recalculating the conversion coefficient as the optimal conversion coefficient.

[0066] The best conversion coefficient RCc = the weight of the moistening material entrance ÷ the weight of the cabinet after the loosening and moisture regaining process Mrx * 100%;

[0067] Optimal conversion coefficient OptCc = optimal conversion coefficient RCc + (optimal conversion coefficient RCc - conversion coefficient Cc) ÷ 2

[0068] Formula 3: OptCc = RCc + (RCc - Cc) ÷ 2

[0069] After obtaining the optimal conversion coefficient OptCc, enter the second stage of feeding. The second stage of feeding is to calculate the second stage feeding ratio setting based on the optimal conversion coefficient OptCc, batch weight, applied material weight, pre-feeding weight Mb, and applied tobacco weight, and perform feeding control.

[0070] Second stage feeding ratio Pro2 = (batch weight Msb-weight of applied material MsbAdd) ÷ (weight before feeding Mb*optimal conversion coefficient OptCc-weight of tobacco leaves MbAdd of applied material)*100%;

[0071] Formula 4: Pro2=(Msb-MsbAdd)÷(Mb*OptCc-MbAdd)*100%

[0072] In both stages of adding materials, the weight of the material applied MsbAdd and the weight of the tobacco leaves applied MbAdd are recorded.

[0073] like Figure 3 , Figure 4 As shown, another method for controlling the uniformity of feeding in the process of making cigarette shreds of tobacco according to the present invention, the process of making cigarette shreds of tobacco comprises in sequence: loosening and rehumidifying, pre-distributing storage leaves, screening, quantitative feeding, leaf moistening and feeding, and leaf storage steps, and this method is applied to the leaf moistening and feeding steps.

[0074] After the loosening and rehydration process, the MES system records the moisture at the outlet of the loosening and rehydration process and the weight of the cabinet after the loosening and rehydration process. When the tobacco leaves are put into the cabinet for pre-allocation and storage, the pre-allocation and storage time is recorded. The MES system also collects the moisture at the inlet and outlet of the feeding in real time. Before the feeding process is carried out on this batch, the average moisture at the outlet of the loosening and rehydration process, the pre-allocation and storage time, and the ambient temperature and humidity of the storage environment of the previous batches can be obtained. The sugar material application equipment of the MES system is equipped with a flow meter to record the weight of the applied material MsbAdd in real time.

[0075] The tobacco dust screened out during the screening process is treated as waste. The screened fragments are not added to the feed, but directly bypass the feeder and are mixed back into the tobacco leaves that have been fed. The screened tobacco dust will also affect the weight of the feed inlet and ultimately affect the uniformity of the feed.

[0076] The invention discloses a method for controlling uniformity of feeding in a cigarette shred processing process, which divides feeding control into one-stage feeding and two-stage feeding.

[0077] The conversion coefficient is obtained by establishing a first-order strong correlation between the weight of the material entering the cabinet after the loosening and moisture regaining process and the weight before the material addition. The conversion coefficient Cc (Conversion coefficient) is equal to the average value MrAverage of the ratio of the weight before the material addition Mb of each batch to the weight of the material entering the cabinet after the loosening and moisture regaining process Mrx of the batch.

[0078] Formula 1: Cc = Average (Mb / Mrx)

[0079] According to the conversion coefficient Cc and the batch weight Msb, the feeding ratio Pro1 of one section is calculated to control the feeding of one section. The feeding ratio Pro1 of one section = batch weight Msb ÷ (the weight of the cabinet after the loosening and moisture regaining process Mrx * conversion coefficient Cc) * 100%,

[0080] Formula 2: Pro1 = Msb / (Mr*Cc)*100%

[0081] When placing a production work order, the batch material weight Msb corresponding to the process standard can be read from the MES system based on the production work order specification and brand.

[0082] The feeding production of one stage continues until the moisture of the feeding outlet of the moistening leaf is collected. According to the weight of the cabinet after the loosening and rehydration process, the moisture of the loosening and rehydration outlet, the pre-dispensing leaf storage time, the moisture of the feeding outlet and other data, the regression equation is obtained through regression analysis:

[0083] The weight of the moistening leaf feeding inlet = A + B × the weight of the cabinet after the loosening and rehydration process Mrx + C × the moisture content of the loosening and rehydration outlet - D × the pre-mixed leaf storage time + E × the moisture content of the material at the feeding outlet;

[0084] Among them: A is the basic weight constant, B is the loose moisture resuspension export weight coefficient, C is the loose moisture resuspension export moisture correlation coefficient, D is the pre-mixed leaf storage time correlation coefficient, and E is the added material moisture correlation coefficient. The above constants or coefficients are related to the brand, production time, and production environment, and are obtained by regression analysis of historical data;

[0085] ABCDE are coefficients obtained through regression analysis of multiple batches of data, and are constant terms. For example: feeding inlet weight = 3135 + 0.478 × loose rehumidification outlet weight + 102.5 × loose rehumidification outlet moisture - 5.21 × pre-mixed leaf storage time + 9.1 × feeding outlet material moisture. In this equation: A = 3135 B = 0.478 C = 102.5 D = 5.21 E = 9.1.

[0086] According to the re-estimated inlet weight of the moistening leaf feed, calculate the optimal conversion coefficient RCc and the optimal conversion coefficient OptCc:

[0087] The best conversion coefficient RCc = the weight of the moistening material entrance ÷ the weight of the cabinet after the loosening and moisture regaining process Mrx * 100%;

[0088] Optimal conversion coefficient OptCc = optimal conversion coefficient RCc + (optimal conversion coefficient RCc - conversion coefficient Cc) ÷ 2

[0089] Formula 3: OptCc = RCc + (RCc - Cc) ÷ 2

[0090] After obtaining the optimal conversion coefficient OptCc, enter the second stage of feeding. The second stage of feeding is to calculate the second stage feeding ratio setting based on the optimal conversion coefficient OptCc, batch weight, applied material weight, pre-feeding weight Mb, and applied tobacco weight, and perform feeding control.

[0091] Second stage feeding ratio Pro2 = (batch weight Msb-weight of applied material MsbAdd) ÷ (weight before feeding Mb*optimal conversion coefficient OptCc-weight of tobacco leaves MbAdd of applied material)*100%;

[0092] Formula 4: Pro2=(Msb-MsbAdd)÷(Mb*OptCc-MbAdd)*100%

[0093] In both stages of adding materials, the weight of the material applied MsbAdd and the weight of the tobacco leaves applied MbAdd are recorded.

[0094] The optimal conversion coefficient OptCc is based on big data collected by the MES system during the production process, including the outlet moisture content, cabinet weight, leaf storage time, feed inlet moisture content and feed inlet weight of each batch of loose rehydration process of the same brand and specification. The system can obtain it through autonomous learning according to the established rules through the conversion coefficient model.

[0095] After entering the second stage feeding production, the optimal conversion coefficient is calculated and corrected according to the preset period. The preset period is the data collection time interval of the MES system. For example, the production data is collected every 15 seconds, and the cumulative increment of the feeding inlet material, the cumulative increment of the feeding, the instantaneous feeding ratio and the feeding accuracy are calculated at each time interval. If the feeding accuracy change exceeds 0.5%, it is judged as abnormal. Abnormal feeding accuracy refers to the feeding accuracy within the batch.

[0096] For example, the first data collected from the cumulative material addition inlet is 4800.00kg, and the second data collected 15 seconds later is 4814.3kg. The cumulative increase of the material addition in 15 seconds is 14.3kg. Similarly, the cumulative increase of the material addition is also obtained in the same way.

[0097] Now let’s take the historical data of Hongtashan (Soft Classic 1956), a brand with the same specifications, produced over a period of time, as an example to further illustrate.

[0098] Hongtashan (Soft Classic 1956) Historical Data Table

[0099]

[0100] Initially, the method performs calculations based on historical data:

[0101] Conversion coefficient = average weight of moistening material entrance ÷ average weight of loose moisture recovery exit × 100% = 10174.64 ÷ 10601.75 × 100% = 95.97%

[0102] First, using the above data, through regression analysis, we can get the regression equation: feeding inlet weight = 3135 + 0.478 × loose rehydration outlet weight + 102.5 × loose rehydration outlet moisture - 5.21 × pre-mixed leaf storage time + 9.1 × feeding outlet material moisture, and then calculate the optimal conversion coefficient.

[0103] If the batch currently being produced in the feeding process is 22, the loose rehumidification outlet weight, loose rehumidification outlet moisture content and pre-mixed leaf storage time are known before production begins, and the leaf moistening feeding outlet moisture content can also be obtained after a period of production.

[0104]

[0105] The feeding inlet weight can be re-estimated as follows:

[0106] Feed inlet weight = 3135 + 0.478 × 10621 + 102.5 × 17.25 - 5.21 × 3.0 + 9.1 × 22.0.0 = 10164.53

[0107] The optimal conversion factor is calculated using the re-estimated feed inlet weight as follows:

[0108] Optimal conversion coefficient = leaf moistening feed inlet weight ÷ loose moisture regain outlet weight × 100% = 10164.53 ÷ 10621.0 × 100% = 95.702%

[0109] Optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2 = 95.702 + (95.702 - 95.97) ÷ 2 = 95.568%

[0110]

[0111] This method involves five weights: the weight Mrx of the tobacco leaves entering the cabinet after the loosening and rehumidification process, the change c in the weight of the whole batch of tobacco leaves caused by the leaf storage process, the weight d of the tobacco dust, the weight e of the tobacco scraps, and the weight Mb before adding materials. The relationship between these five weights is: Mb=Mrx-cde.

[0112] Mb: The weight before adding can be obtained by reverse calculation through the weight after adding, the amount of adding, the moisture content after adding, etc.

[0113] Mrx: weight of the bulk in the cabinet after the loosening and moisture regaining process;

[0114] c: The change in weight of the whole batch of tobacco leaves caused by the leaf storage process (due to the strong hygroscopicity of tobacco leaves, the outlet moisture of the loosening and rehumidification process, the different storage time of leaves, and the change in humidity of the storage environment will cause the moisture content of the material to change after storage. After the moisture content changes, the weight of the material also changes accordingly, and this change is unknown);

[0115] d: Cigarette dust weight, that is, the weight of cigarette dust with a size less than 1.5 mm screened out during the screening process (the crushing process of each batch of cigarettes is different, and the weight of the screened cigarette dust will also be different, so it is not weighed here and this value is unknown);

[0116] e: Cigarette fragment weight, that is, the weight of fragments with a size of 1.5mm to 4.5mm that are screened out during the screening process (the size of each batch of cigarettes is different during the processing process, and the weight of the screened fragments will also be different. No weighing is performed here, so this value is also unknown)

[0117] Before the feeding process begins, only the weight Mrx of the cabinet after the loosening and moisture regaining process is known, and the weight Mb before feeding is unknown. After the feeding production is completed, the weight after feeding can be obtained by the accumulated weight on the electronic scale, while c, d, and e are always unknown. Therefore, historical data needs to be used for preliminary estimation before feeding production.

[0118] The method for controlling the uniformity of feeding in the process of cigarette shred processing of the present invention can not only realize the integrity and stability of batch feeding by performing proportional control of feeding in two stages, but also improve the feeding control accuracy of shred processing.

[0119] During the production process, the MES system collects the weight of each batch before adding materials, the moisture at the outlet of the loose rehydration process, the leaf storage time, and the strong correlation between the moisture at the inlet of the feeding as basic big data. The system autonomously learns according to the established rules through the model, while ensuring the uniformity of the feeding, reducing the fluctuation of the system's instantaneous accuracy, thereby reducing the error of the entire system and avoiding uneven feeding between batches.

[0120] Abnormal addition of materials during the process can be promptly pushed to relevant personnel through the APP, and timely analysis and improvement can be carried out to improve work efficiency.

Claims

1. A method for controlling uniformity of feeding in a cigarette shred processing process, the cigarette shred processing process sequentially comprising: Loosening and moistening, pre-arrangement and storage of leaves, screening, quantitative feeding, moistening and feeding, and leaf storage processes, wherein after the loosening and moistening process, the weight of the tobacco leaves entering the cabinet after the loosening and moistening process is first measured, and then the tobacco leaves are put into the cabinet as a whole for pre-arrangement and storage of leaves. This method is applied to the moistening and feeding process, and is characterized in that the feeding control is divided into one-stage feeding and two-stage feeding; The conversion coefficient is obtained by establishing a first-order strong correlation between the weight of the batch after the loosening and moisture regaining process and the weight before the addition. The conversion coefficient is equal to the average value of the ratio of the weight before the addition of each batch to the weight of the batch after the loosening and moisture regaining process. The feeding ratio of one section is calculated based on the conversion coefficient and the weight of the batch material, and the feeding of one section is controlled. The feeding ratio of one section = the weight of the batch material ÷ (the weight of the cabinet after the loosening and moisture regaining process * the conversion coefficient) * 100%; The first stage of feeding production continues until the moisture of the feeding outlet of the batch of materials is collected at the leaf moistening feeding outlet. The conversion coefficient is optimized according to the weight of the cabinet after the loosening and rehydration process, the moisture at the loosening and rehydration outlet, the pre-dispensing leaf storage time, and the moisture at the feeding outlet. Then the second stage of feeding is entered according to the optimal conversion coefficient. Second stage feeding ratio = (batch weight - weight of added material) ÷ ​​(weight of moistening material entrance * optimal conversion coefficient - weight of added tobacco leaves) * 100%; The optimization conversion coefficient is obtained in any of the following ways: Method 1: Based on the weight of the cabinet after the loosening and rehydration process, the moisture content at the loosening and rehydration outlet, the pre-mixed leaf storage time, and the moisture content at the feeding outlet, the regression equation is obtained through regression analysis: The weight of the moistening leaf feeding inlet = A + B × the weight of the cabinet after the loosening and rehydration process + C × the moisture content at the loosening and rehydration outlet - D × the pre-mixed leaf storage time + E × the moisture content of the material at the feeding outlet; Among them: A is the basic weight constant, B is the loose moisture regain export weight coefficient, C is the loose moisture regain export moisture correlation coefficient, D is the pre-mixed leaf storage time correlation coefficient, and E is the added material export moisture correlation coefficient. The above constants or coefficients are correlated with the brand, production time, and production environment, and are obtained by regression analysis of historical data; According to the re-estimated inlet weight of moistening leaf feed, calculate the best conversion coefficient = inlet weight of moistening leaf feed ÷ weight of feed into cabinet after loosening and moistening process * 100%; Then calculate the optimal conversion coefficient according to the optimal conversion coefficient: optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2; Method 2: Collect the moisture at the feeding outlet, adjust the weight of the feeding inlet according to the relationship between the moisture at the feeding outlet and the moisture at the feeding outlet of previous batches and the weight at the feeding inlet, and calculate the best conversion coefficient = weight of the feeding inlet ÷ weight of the feeding inlet after the loosening and rehydration process * 100%; Then calculate the optimal conversion coefficient according to the optimal conversion coefficient: optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2; Method 3: Collect the weight after feeding and the moisture at the feeding outlet, and calculate the weight of the leaf moistening feeding inlet according to the weight after feeding and the moisture at the feeding outlet; According to the re-estimated inlet weight of moistening leaf feed, calculate the best conversion coefficient = inlet weight of moistening leaf feed ÷ weight of feed into cabinet after loosening and moistening process * 100%; Then calculate the optimal conversion coefficient based on the best conversion coefficient: optimal conversion coefficient = optimal conversion coefficient + (optimal conversion coefficient - conversion coefficient) ÷ 2.

2. The method for controlling uniformity of feeding in a cigarette shred processing process according to claim 1, characterized in that: After entering the second-stage feeding production, the optimal conversion coefficient is calculated and corrected according to the preset cycle.

3. The method for controlling uniformity of feeding in the process of making cigarette shreds as claimed in claim 2, characterized in that: The preset period is every 15 seconds.

4. The method for controlling uniformity of feeding in a cigarette shred processing process according to claim 1, characterized in that: The batch material weight is read from the corresponding process standard of the MES system according to the product specification and brand number of the production work order when placing the production work order.

5. The method for controlling uniformity of feeding in the process of making cigarette shreds as claimed in claim 1, characterized in that: The production data is collected every 15 seconds, and the cumulative increase of the material at the feeding inlet, the cumulative increase of the feeding, the instantaneous feeding ratio and the feeding accuracy are calculated at each time interval.

6. A method for controlling uniformity of feeding in a cigarette shred processing process as claimed in claim 5, characterized in that: If the change in feeding accuracy exceeds 0.5%, it is judged as abnormal. Abnormal feeding accuracy refers to the feeding accuracy within the batch.

7. A method for controlling uniformity of feeding in a cigarette shred processing process as claimed in claim 6, characterized in that: Abnormal feeding accuracy will be pushed through the APP.

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