CN115771772A - Method for controlling feeding uniformity in cigarette cut tobacco processing process - Google Patents
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Abstract
The invention provides a method for controlling the feeding uniformity in the cigarette cut tobacco processing process, which sequentially comprises the following steps: loosening and dampening, pre-preparing and storing leaves, screening, quantitatively feeding, moistening and feeding the leaves, and storing She Gongxu, wherein after the loosening and dampening procedure, the weight of the tobacco leaves is measured to obtain the weight of the tobacco leaves after loosening and then feeding the tobacco leaves into a cabinet for pre-preparing and storing the leaves, the method is applied to the leaf moistening and feeding procedure, and feeding control is divided into two sections: the first-stage feeding control comprises the following steps: establishing a first-stage strong correlation relationship between the weight of the bulk container after loosening and the weight before feeding to obtain a conversion coefficient, calculating a first-stage feeding proportion setting according to the conversion coefficient and the weight of the batch of materials, and controlling the feeding, wherein a compensation type feeding thinking is adopted for controlling the feeding proportion in the second stage. Through adopting two-stage staged accurate control on the feeding system, the fluctuation of the instantaneous precision of the system is reduced while the feeding uniformity is ensured, thereby reducing the error of the whole system and avoiding the uneven feeding phenomenon among batches.
Description
Technical Field
The invention belongs to the field of tobacco shred processing, and particularly relates to a method for controlling the feeding uniformity in the cigarette shred processing process based on big data.
Background
The existing charging proportion setting is mainly controlled according to the ratio percentage of the weight of each batch of charging materials to the theoretical weight of a charging inlet of each grade, the weight of the normal stable batch of charging inlets in the production process is statistically analyzed manually, and a reference charging proportion is given for controlling. The mode is adopted for maintenance, the work is more complicated, if the maintenance is not timely, the condition of poor feeding precision is easy to occur, the feeding weight deviation degree of batches is large, the feeding is not uniform among batches, and the intellectualization and the precision of the silk making processing control can not be effectively embodied.
Taking 7 batches of cigarettes of the same brand produced by a factory as an example, the average value of each index of the 7 batches is calculated as follows:
according to the prior art, before the 8 th batch of tobacco leaves are produced in the leaf moistening and feeding process, the following information can be obtained:
the accumulated amount of the moist leaf feeding inlet material of the 8 th batch of material is estimated to be 10315.56 according to the data, and the feeding ratio set value is calculated to be 3.83 according to 395.2/10315.56 multiplied by 100% = 3.83%.
Because the accumulated amount of the 8 th batch of feeding inlet materials 10315.56 is an estimated value, the amount of the accumulated amount is usually different from an actual value, and when the estimated value is smaller than the actual value, the sugar materials are left after the production is finished; when the estimated value is larger than the actual value, the sugar content is insufficient. In order to prevent the two situations, an operator can continuously adjust the feeding proportion at the rear section of production, the adjustment range can reach more than +/-0.05 percent, and the situations of poor feeding precision, large batch feeding weight deviation, uneven batch feeding and the like are caused.
Disclosure of Invention
Aiming at the defects of the technology, the invention aims to provide a method for controlling the feeding uniformity in the cigarette cut tobacco processing process, and the two-section type staged precise control is adopted for a feeding system, so that the fluctuation of the instantaneous precision of the system is reduced while the feeding uniformity is ensured, the error of the whole system is reduced, and the phenomenon of nonuniform feeding among batches is avoided.
The invention relates to a method for controlling the feeding uniformity in the cigarette cut tobacco processing process, which sequentially comprises the following steps: loosening and dampening, pre-preparing and storing leaves, screening, quantitatively feeding, moistening and feeding, and storing She Gongxu, wherein after the loosening and dampening procedure, the weight of the tobacco leaves is measured to obtain the weight of the tobacco leaves after loosening and then entering a cabinet, and then the tobacco leaves are integrally entered into the cabinet to be pre-prepared and stored, the method is applied to the leaf moistening and feeding procedure, and the feeding control is divided into first-stage feeding and second-stage feeding;
the conversion coefficient is obtained by establishing a first-level strong correlation relationship between the weight of the bulk after being loosened and the weight before being loosened, the conversion coefficient = the average value of the ratio of the weight before being loosened and the weight of the bulk after being loosened,
calculating a first-stage feeding proportion setting according to the conversion coefficient and the batch material weight, and controlling first-stage feeding, wherein the first-stage feeding proportion = batch material weight ÷ (x conversion coefficient of the cabinet weight after the loosening and moisture regaining process) x100%;
the first-stage feeding production is continued until a leaf moistening feeding outlet collects the moisture at the feeding outlet of the batch, the conversion coefficient is optimized according to the weight of a cabinet after a loosening and moisture regaining process, the moisture at the loosening and moisture regaining outlet, the pre-prepared leaf storage time and the moisture at the feeding outlet, and then the second-stage feeding is carried out according to the optimized conversion coefficient;
the two-stage feed ratio = (batch weight-applied weight) ÷ (feed forward cabinet weight x optimization conversion factor-applied tobacco leaf weight) x100%. (the weight of the tobacco leaves to which the charge has been applied is the weight of the tobacco leaves to which the first charge has been completed)
Preferably, the optimization reduction coefficient is obtained as follows: obtaining a regression equation through regression analysis according to data such as cabinet inlet weight, loose moisture regain outlet moisture, pre-prepared leaf storage time, charging outlet moisture and the like after a loose moisture regain process:
wetting the leaves, feeding the leaves, wherein the weight of the feeding inlet = A + B multiplied by the weight of the feeding inlet after the loosening and moisture regaining process is Mrx + C multiplied by the weight of the loosening and moisture regaining outlet-D multiplied by the pre-prepared leaf storage time + E multiplied by the material moisture of the feeding outlet;
wherein: a is a basis weight constant, B is a loose moisture regain outlet weight coefficient, C is a loose moisture regain outlet moisture correlation coefficient, D is a pre-prepared leaf storage time correlation coefficient, and E is a feed outlet material moisture correlation coefficient. The constant or coefficient has correlation with brand, production time and production environment, and is obtained by performing regression analysis on historical data;
calculating the optimal conversion coefficient = moist leaf feed inlet weight ÷ loose moisture regain process aftercabinet weight Mrx 100% based on the re-estimated moist leaf feed inlet weight;
and calculating the optimal conversion coefficient according to the optimal conversion coefficient: the optimization reduction coefficient = optimal reduction coefficient + (optimal reduction coefficient-reduction coefficient) ÷ 2.
In the production process, the MES system collects moisture at a loose moisture regain outlet of each batch, cabinet weight after a loose moisture regain process, pre-prepared leaf storage time, material moisture at a feeding outlet and weight at a moist leaf feeding inlet as basic big data, the MES system is enabled to learn autonomously according to formulated rules through a conversion coefficient model, a regression equation is obtained through regression analysis, an optimal conversion coefficient and an optimization conversion coefficient are calculated, and feeding precision is improved.
Preferably, the optimization reduced coefficient is obtained as follows: collecting the weight and the moisture at the feeding outlet after feeding at the feeding outlet, and calculating the weight of the leaf moistening feeding inlet according to the weight and the moisture at the feeding outlet after feeding;
calculating the optimal conversion coefficient = the weight of the moist feed inlet ÷ 100% of the weight of the cabinet after the loosening and dampening process according to the re-estimated weight of the moist feed inlet;
and calculating the optimal conversion coefficient according to the optimal conversion coefficient: the optimization reduction coefficient = optimal reduction coefficient + (optimal reduction coefficient-reduction coefficient) ÷ 2.
Preferably, the optimization reduced coefficient is obtained as follows: collecting moisture at a feeding outlet, adjusting the weight of a moist leaf feeding inlet according to the moisture at the feeding outlet and the relationship between the moisture at the feeding outlet and the weight of the feeding inlet in a plurality of previous batches, and calculating the optimal conversion coefficient = moist leaf feeding inlet weight ÷ loose moisture regain process rear cabinet weight × 100%;
and then calculating an optimization reduction coefficient according to the optimal reduction coefficient: the optimization reduction coefficient = the optimal reduction coefficient + (optimal reduction coefficient-reduction coefficient) ÷ 2.
Preferably, after the second-stage feeding production, the optimization conversion coefficient is calculated and corrected according to a preset period.
More preferably, the preset period is 15 seconds per interval, and the preset period is MES system data acquisition time interval)
Preferably, the material weight of the batch is read from the corresponding process standard of the MES system according to the product specification and the mark of the production work order when the production work order is produced.
Preferably, production data is collected at preset time intervals (e.g., 15 seconds), and the cumulative addition of material at the feed inlet, the cumulative addition of material, the instantaneous feed ratio, and the feed accuracy are calculated at each time interval.
More preferably, the addition accuracy variation exceeding 0.5% is judged as abnormal. The abnormal feeding precision refers to the feeding precision in batches.
More preferably, the charging precision abnormity is pushed through the APP, so that related personnel can analyze and improve in time, fill the reason of the abnormity in the system, and take corrective precaution.
According to the method for controlling the feeding uniformity in the cigarette cut tobacco processing process, the two-section feeding is adopted for proportional control, so that the completeness and stability of batch feeding can be realized, and the feeding control precision of cut tobacco processing is improved.
In the production process, the MES system collects the weight before feeding and the moisture at the outlet of a loosening and dampening process in each batch, the leaf storage time is long, the strong correlation between the moisture at the inlet of feeding is basic big data, the system independently learns according to the formulated rule through a model, the fluctuation of the instantaneous precision of the system is reduced while the feeding uniformity is ensured, so that the error of the whole system is reduced, and the uneven feeding phenomenon among batches is avoided.
In-process reinforced unusual ability in time with APP propelling movement to relevant personnel, in time carry out analysis, improvement, improve work efficiency.
Drawings
FIG. 1 is a schematic view of a process according to the present invention
FIG. 2 is a diagram of a method for controlling the uniformity of feeding in the cigarette cut tobacco processing process
FIG. 3 is another schematic flow chart of the processing technology related to the present invention
FIG. 4 is a diagram of another method for controlling the uniformity of the feeding during the cigarette shred manufacturing process
Description of the main element symbols:
conversion coefficient Cc
Weight before charging Mb
Mean value of ratio MrAverage of cabinet weight Mr after loosening
Pro1 is set at a first-stage charging ratio
Batch weight Msb
Weight Mrx of cabinet after loosening and moisture regaining process
Optimizing conversion coefficient OptCc
Optimal conversion factor RCc
Two-stage charging ratio setting Pro2
Weight of applied material MsbAdd
Variation c of the weight of the whole batch of tobacco leaves caused by the leaf storage process
Weight of tobacco dust d
Weight of tobacco shreds e
Detailed Description
For the purpose of clearly describing the feeding uniformity control method in the cigarette cut-tobacco manufacturing process, the invention is further described with reference to the accompanying drawings.
As shown in fig. 1 and fig. 2, the feeding uniformity control method in the cigarette shred manufacturing process of the present invention sequentially comprises: loosening and dampening, pre-preparing and storing leaves, sieving, quantitatively feeding, moistening leaves and feeding, and storing She Gongxu.
After the loosening and dampening procedure, the MES system records the moisture at the outlet of the loosening and dampening procedure and the weight of the tobacco leaves after loosening and dampening, records the time of pre-blending and storing the tobacco leaves when the whole tobacco leaves are put into a cabinet for pre-blending and storing the tobacco leaves, and also collects the moisture at the inlet and the outlet of the tobacco leaves in real time. Before the feeding process is carried out on the batch, the average moisture of the outlet moisture, the pre-prepared leaf storage time and the environmental temperature and humidity of the leaf storage of a plurality of previous batches of loosening and moisture regaining processes can be obtained. A flow meter is installed on the sugar application equipment of the MES system for recording the applied weight of material mscoadd in real time.
The tobacco powder that the screening process was sieved out, when waste treatment, the piece of sieving out does not feed in raw material, but directly bypasses the feeder and mixes back in the tobacco leaf after feeding in raw material, and the tobacco powder of sieving out also can influence reinforced entry weight, the reinforced homogeneity of final influence.
The invention relates to a method for controlling the charging uniformity in the cigarette shred manufacturing process.
The Conversion coefficient Cc (Conversion coefficient) = the ratio average value MrAverage of the weight Mr of the cabinet before feeding in each batch and the weight Mr of the cabinet after loosening is obtained by establishing a first-level strong correlation between the weight of the cabinet after loosening and the weight before feeding.
Equation 1: cc = Average (Mb/Mr)
Calculating a first-stage feeding proportion Pro1 according to the conversion coefficient Cc and the batch material weight Msb, controlling the first-stage feeding, wherein the first-stage feeding proportion Pro1= the batch material weight Msb ÷ (the cabinet feeding weight Mrx ×. Conversion coefficient Cc after the loosening and moisture regaining process) 100%,
equation 2: pro1= Msb/(Mr Cc) 100%
When a production work order is produced, the material weight Msb of a lot corresponding to a process standard can be read from the MES system according to the product specification and the brand of the production work order.
And the first-stage feeding production is continued until the moisture at the feeding outlet of the leaf moistening material is collected, the conversion coefficient is optimized according to the weight of the feeding cabinet after the loosening and moisture regaining process, the moisture at the loosening and moisture regaining outlet, the pre-prepared leaf storage time and the moisture at the feeding outlet, and then the second-stage feeding is carried out according to the optimized conversion coefficient.
The method for optimizing the calculation coefficient comprises the following steps: when only the moisture at the feeding outlet is collected at the feeding outlet, the estimation of the weight of the wetting leaf feeding inlet is adjusted according to the moisture change at the feeding outlet and the relationship between the moisture at the feeding outlets and the weight of the feeding inlets in a plurality of previous batches, and then the conversion coefficient is recalculated to be used as the optimal conversion coefficient according to the estimated weight of the wetting leaf feeding inlet after adjustment.
When the charging outlet is provided with the charging outlet weight collecting device as shown in fig. 1, the method for optimizing the calculation coefficient may further be: and (4) reversely deducing the weight of the leaf moistening feeding inlet according to the moisture at the feeding outlet and the weight of the feeding outlet, and recalculating the conversion coefficient as the optimal conversion coefficient.
The optimal conversion coefficient RCc = the weight of the moist leaf feeding inlet ÷ the weight of the cabinet after the loosening and moisture regaining process Mrx 100%;
the optimization conversion coefficient OptCc = optimal conversion coefficient RCc + (optimal conversion coefficient RCc-conversion coefficient Cc) ÷ 2
Equation 3: optCc = RCc + (RCc-Cc) ÷ 2
After obtaining the optimization conversion coefficient OptCc, entering the second-stage feeding, wherein the second-stage feeding is to calculate the second-stage feeding proportion setting according to the optimization conversion coefficient OptCc, the batch material weight, the applied material weight, the weight Mb before feeding and the applied tobacco weight, to control the feeding,
the two-stage charge ratio Pro2= (batch weight Msb-applied weight Msb add) ÷ (pre-charge weight Mb × optimization reduction coefficient OptCc-applied weight of tobacco leaves MbAdd) × 100%;
equation 4: pro2= (Msb-MsbAdd) ÷ (Mb) _ OptCc-MbAdd) _ 100%
In both charges, the weight of the applied charge MsbAdd and the weight of the applied tobacco leaf MbAdd are recorded.
As shown in fig. 3 and 4, another method for controlling the feeding uniformity in the cigarette shred manufacturing process of the present invention sequentially comprises: loosening and dampening, pre-preparing and storing leaves, sieving, quantitatively feeding, moistening leaves and feeding, and storing She Gongxu.
After the loosening and dampening procedure, the MES system records the moisture at the outlet of the loosening and dampening procedure and the weight of the tobacco leaves after loosening and dampening, records the pre-blending and storing time when the tobacco leaves are integrally put into a cabinet for pre-blending and storing, and also collects the moisture at the inlet and the outlet of the tobacco leaves in real time. Before the feeding process is carried out on the batch, the average moisture of the outlet moisture, the pre-prepared leaf storage time and the environmental temperature and humidity of the stored leaves in the previous loosening and moisture regaining processes of multiple batches can be obtained. A flow meter is installed on the sugar application equipment of the MES system for recording the applied weight of material MsbAdd in real time.
The tobacco powder that the screening process was sieved out, when waste treatment, the piece of sieving out does not feed in raw material, but directly bypasses the feeder and mixes back in the tobacco leaf after feeding in raw material, and the tobacco powder of sieving out also can influence reinforced entry weight, the reinforced homogeneity of final influence.
The invention discloses a method for controlling the feeding uniformity in the cigarette shred manufacturing process, which divides the feeding control into first-stage feeding and second-stage feeding.
The Conversion coefficient Cc (Conversion coefficient) = the ratio average value MrAverage of the weight Mr of the cabinet before feeding in each batch and the weight Mr of the cabinet after loosening is obtained by establishing a first-level strong correlation between the weight of the cabinet after loosening and the weight before feeding.
Equation 1: cc = Average (Mb/Mr)
Calculating a first-stage feeding proportion Pro1 according to the conversion coefficient Cc and the batch material weight Msb, controlling the first-stage feeding, wherein the first-stage feeding proportion Pro1= the batch material weight Msb ÷ (the cabinet feeding weight Mrx ×. Conversion coefficient Cc after the loosening and moisture regaining process) 100%,
equation 2: pro1= Msb/(Mr Cc) 100%
When a production work order is produced, the material weight Msb of a batch corresponding to a process standard can be read from the MES system according to the product specification and the brand of the production work order.
And (3) continuously carrying out one-stage feeding production until a leaf moistening feeding outlet collects the moisture at the feeding outlet of the batch, and obtaining a regression equation through regression analysis according to the data of cabinet weight, the moisture at the loosening and dampening outlet, the pre-prepared leaf storage time, the moisture at the feeding outlet and the like after the loosening and dampening procedure:
wetting the leaves, feeding the leaves, wherein the weight of the feeding inlet = A + B multiplied by the weight of the feeding inlet after the loosening and moisture regaining process is Mrx + C multiplied by the weight of the loosening and moisture regaining outlet-D multiplied by the pre-prepared leaf storage time + E multiplied by the material moisture of the feeding outlet;
wherein: a is a basis weight constant, B is a loose moisture regain outlet weight coefficient, C is a loose moisture regain outlet moisture correlation coefficient, D is a pre-prepared leaf storage time correlation coefficient, and E is a feed outlet material moisture correlation coefficient. The constant or coefficient has correlation with brand, production time and production environment, and is obtained by performing regression analysis on historical data;
ABCDE is a coefficient obtained by regression analysis on multiple batches of data and is a constant term such as: weight of feed inlet =3135+0.478 x weight of loose moisture regain outlet +102.5 x moisture of loose moisture regain outlet-5.21 x pre-set leaf storage time +9.1 x feed outlet material moisture in this equation: a =3135b =0.478c =102.5d =5.21e =9.1.
Calculating an optimal conversion coefficient RCc and an optimization conversion coefficient OptCc according to the re-estimated weight of the feeding inlet of the moistening leaves:
the optimal conversion coefficient RCc = the weight of the moist leaf feeding inlet ÷ the weight of the cabinet after the loosening and moisture regaining process Mrx 100%;
the optimization conversion coefficient OptCc = optimal conversion coefficient RCc + (optimal conversion coefficient RCc-conversion coefficient Cc) ÷ 2
Equation 3: optCc = RCc + (RCc-Cc) ÷ 2
After obtaining the optimization conversion coefficient OptCc, entering the second-stage feeding, wherein the second-stage feeding is to calculate the second-stage feeding proportion setting according to the optimization conversion coefficient OptCc, the batch material weight, the applied material weight, the weight Mb before feeding and the applied tobacco weight, to control feeding,
the two-stage feeding ratio Pro2= (batch weight Msb-applied weight msbad) ÷ (pre-feeding weight Mb × -optimization coefficient OptCc-fed tobacco weight MbAdd) — 100%;
equation 4: pro2= (Msb-MsbAdd) ÷ (Mb) _ OptCc-MbAdd) _ 100%
In both charges, the weight of the applied charge MsbAdd and the weight of the applied tobacco leaf MbAdd are recorded.
The optimization conversion coefficient OptCc is obtained by acquiring big data based on the outlet moisture, the cabinet entering weight, the leaf storage time, the feeding inlet moisture and the feeding inlet weight of each batch of loosening and dampening procedures with the same normal and stable grade and specification by an MES system in the production process and enabling the system to independently learn according to established rules through a conversion coefficient model.
And after the second-stage feeding production is carried out, calculating and correcting the optimization conversion coefficient according to a preset period, wherein the preset period is an MES system data acquisition time interval, for example, the production data is acquired every 15 seconds, and the feeding inlet material accumulated increment, the feeding accumulated increment, the instantaneous feeding proportion and the feeding precision at each time interval are calculated. And judging the abnormal condition when the feeding precision variation exceeds 0.5 percent. The abnormal feeding precision refers to the feeding precision in batches.
For example: the 1 st data obtained by the cumulative collection of the materials at the feeding inlet is 4800.00kg, the 2 nd data is 4814.3kg after 15 seconds, and the cumulative increment of the materials at the feeding inlet for 15 seconds is 14.3kg. Similarly, the cumulative addition of the feeding materials is obtained.
The historical data of Hongta mountain (Soft classic 1956) with the same specification and brand produced in a period of time is taken as an example for further explanation.
History data table of Hongtashan (Soft classic 1956)
At the beginning, the method performs calculations based on historical data:
conversion factor = mean value of weight of moist inlet/loose moisture outlet/mean value of weight of loose moisture regain × 100% =10174.64 ÷ 10601.75 × 100% =95.97%
Firstly, the above data are utilized to obtain a regression equation through regression analysis: weight of charging inlet =3135+0.478 x weight of loose moisture regain outlet +102.5 x moisture of loose moisture regain outlet-5.21 x leaf storage time of pre-prepared +9.1 x moisture of charging outlet material, and then calculating optimization conversion coefficient.
If the current feed sequence is 22 in the production lot, knowing the bulk conditioning outlet weight, bulk conditioning outlet moisture, and pre-set leaf storage time before the start of production, the leaf moistening feed outlet moisture can also be obtained after a period of production.
The feed inlet weight can be re-estimated as follows:
weight of charging inlet =3135+0.478 × 10621+102.5 × 17.25-5.21 × 3.0+9.1 × 22.0.0=10164.53
The optimization conversion factor was calculated using the re-estimated feed inlet weight as follows:
optimum conversion factor = moist leaf feed inlet weight ÷ loose moisture regain outlet weight × 100% =10164.53 ÷ 10621.0 × 100% =95.702%
Optimization reduction coefficient = optimum reduction coefficient + (optimum reduction coefficient-reduction coefficient) ÷ 2=95.702+ (95.702-95.97 ÷ 2=95.568%
The method comprises the following steps of 5: the weight Mrx of the tobacco entering the cabinet after the loosening and moisture regaining process, the weight variation c of the whole batch of tobacco leaves caused by the leaf storage process, the weight d of tobacco powder, the weight e of tobacco shreds and the weight Mb before feeding are as follows, and the relationship of the 5 weights is as follows: mb = Mrx-c-d-e.
Mb, the weight before feeding can be obtained by back-pushing the weight after feeding, the feeding amount, the moisture after feeding and the like;
mrx, the weight of the cabinet after the loosening and dampening process;
c, the variation of the weight of the whole batch of tobacco leaves caused in the leaf storage process (the variation is unknown because the moisture absorption of the tobacco leaves is stronger, the moisture of the stored materials is changed due to the outlet moisture of the loosening and moisture regaining procedures, the different leaf storage time, the change of the humidity of the leaf storage environment and the like in the leaf storage process;
d: the weight of the tobacco powder, namely the weight of the tobacco powder with the size smaller than 1.5mm sieved out in the sieving process (the weight of the tobacco powder sieved out is different due to different crumbling in the processing process of each batch of tobacco, so the weight of the tobacco powder sieved out is not weighed, and the value is unknown);
e.weight of shredded tobacco, i.e. the weight of pieces of 1.5mm to 4.5mm sieved out during sieving (different from one batch of tobacco to another, the weight of sieved out pieces varies, and is not weighed here and therefore unknown)
Before the feeding process begins, only the cabinet weight Mrx after the loosening and moisture regaining process is known, the weight before feeding Mb is unknown, the weight after feeding can be obtained by the weight accumulation of an electronic scale after the feeding process is finished, and the three items c, d and e are unknown all the time, so that the historical data is used for preliminary estimation before the feeding process.
According to the method for controlling the feeding uniformity in the cigarette cut tobacco processing process, the two-section feeding is adopted for proportional control, so that the completeness and stability of batch feeding can be realized, and the feeding control precision of cut tobacco processing is improved.
In the production process, the MES system collects the weight before feeding and the moisture at the outlet of a loosening and dampening process in each batch, the leaf storage time is long, the strong correlation between the moisture at the inlet of feeding is basic big data, the system independently learns according to the formulated rule through a model, the fluctuation of the instantaneous precision of the system is reduced while the feeding uniformity is ensured, so that the error of the whole system is reduced, and the uneven feeding phenomenon among batches is avoided.
In-process reinforced unusual ability in time with APP propelling movement to relevant personnel, in time carry out analysis, improvement, improve work efficiency.
Claims (10)
1. A method for controlling the charging uniformity in the cigarette shred manufacturing and processing process sequentially comprises the following steps: loosening and dampening, pre-preparing and storing leaves, screening, quantitatively feeding, moistening and feeding the leaves, and storing She Gongxu, wherein after the loosening and dampening procedure, the weight of the tobacco leaves is measured to obtain the weight of the tobacco leaves after loosening and then feeding the whole tobacco leaves into a cabinet for pre-preparing and storing the leaves, the method is applied to the leaf moistening and feeding procedure, and is characterized in that feeding control is divided into first-stage feeding and second-stage feeding;
the conversion coefficient is obtained by establishing a first-level strong correlation relationship between the weight of the bulk after being loosened and the weight before being loosened, the conversion coefficient = the weight before being loosened/the average value of the ratio of the weight of the bulk after being loosened,
calculating a first-stage feeding proportion setting according to the conversion coefficient and the batch material weight, and controlling first-stage feeding, wherein the first-stage feeding proportion = batch material weight ÷ (the conversion coefficient of the weight x of the batch entering a cabinet after the loosening and moisture regaining process) x100%;
the first-stage feeding production is continued until a leaf moistening feeding outlet collects the moisture at the feeding outlet of the batch, the conversion coefficient is optimized according to the weight of a cabinet after a loosening and moisture regaining process, the moisture at the loosening and moisture regaining outlet, the pre-prepared leaf storage time and the moisture at the feeding outlet, and then the second-stage feeding is carried out according to the optimized conversion coefficient;
two-stage feed ratio = (batch weight-applied weight) ÷ (feed advancing bin weight x optimization conversion factor-applied tobacco leaf weight) x100%.
2. The method for controlling the feeding uniformity in the cigarette primary processing procedure according to claim 1, wherein the optimization reduction coefficient is calculated and corrected according to a preset period after the second feeding production.
3. The method of claim 2, wherein the predetermined period is 15 seconds at intervals.
4. The method of claim 1, wherein the weight of the batch is read from the corresponding process standard of the MES system according to the specification and grade of the production worksheet during the next production worksheet.
5. The method according to claim 1, wherein the production data is collected every predetermined time (15 seconds), and the cumulative increment of the material at the charging inlet, the cumulative increment of the charging, the instantaneous charging ratio and the charging accuracy are calculated at each time interval.
6. The method for controlling the feeding uniformity in the cigarette cut-making processing process according to claim 5, wherein the feeding accuracy variation exceeds 0.5%, and the method is judged to be abnormal. The abnormal feeding precision refers to the feeding precision in batches.
7. The method for controlling the feeding uniformity in the cigarette throwing process according to claim 6, wherein the feeding accuracy is abnormally pushed by APP.
8. The method for controlling the charging uniformity in the cigarette throwing process according to any one of claims 1 to 7, wherein the optimization conversion coefficient is obtained as follows: obtaining a regression equation through regression analysis according to data such as cabinet inlet weight, loose moisture regain outlet moisture, pre-prepared leaf storage time, charging outlet moisture and the like after a loose moisture regain process:
wherein: a is a basis weight constant, B is a loose moisture regain outlet weight coefficient, C is a loose moisture regain outlet moisture correlation coefficient, D is a pre-prepared leaf storage time correlation coefficient, and E is a feed outlet material moisture correlation coefficient. The constant or coefficient has correlation with brand, production time and production environment, and is obtained by performing regression analysis on historical data;
calculating the optimal conversion coefficient = moist leaf feed inlet weight ÷ loose moisture regain process aftercabinet weight Mrx 100% based on the re-estimated moist leaf feed inlet weight;
and then calculating an optimizing conversion coefficient according to the optimal conversion coefficient: the optimization reduction coefficient = optimal reduction coefficient + (optimal reduction coefficient-reduction coefficient) ÷ 2.
9. The method for controlling the charging uniformity in the cigarette throwing process according to any one of claims 1 to 7, wherein the optimization conversion coefficient is obtained as follows: collecting moisture at a feeding outlet, adjusting the weight of a moist leaf feeding inlet according to the moisture at the feeding outlet and the relationship between the moisture at the feeding outlet and the weight of the feeding inlet in a plurality of previous batches, and calculating the optimal conversion coefficient = moist leaf feeding inlet weight divided by loose moisture regain process and then weighing 100% in a cabinet;
and then calculating an optimizing conversion coefficient according to the optimal conversion coefficient: the optimization reduction coefficient = the optimal reduction coefficient + (optimal reduction coefficient-reduction coefficient) ÷ 2.
10. The method for controlling the charging uniformity in the cigarette throwing process according to any one of claims 1 to 7, wherein the optimization conversion coefficient is obtained as follows: collecting the weight and the moisture at the feeding outlet after feeding at the feeding outlet, and calculating the weight of the leaf moistening feeding inlet according to the weight and the moisture at the feeding outlet after feeding;
calculating the optimal conversion coefficient = the weight of the moist feed inlet ÷ 100% of the weight of the cabinet after the loosening and dampening process according to the re-estimated weight of the moist feed inlet;
and then calculating an optimization reduction coefficient according to the optimal reduction coefficient: the optimization reduction coefficient = the optimal reduction coefficient + (optimal reduction coefficient-reduction coefficient) ÷ 2.
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