CN108175121B - Parameter self-correction method/system, computer-readable storage medium and device - Google Patents

Abstract

The present invention provides a parameter self-correction method/system, a computer-readable storage medium and a device. The parameter self-correction method includes: receiving a specified rated water extraction volume working point and/or a preloaded dehydration coefficient as a self-correction target parameter; According to the correction mode of the rated working point of the water extraction volume, the rated water extraction volume working point of each cigarette production brand is corrected; and/or according to the correction mode of the preloading dehydration coefficient, the preloading dehydration coefficient of each cigarette production brand is corrected; wherein , the cigarette production grades include small grades and conventional grades. The invention is deployed on a set of leaf silk drying equipment in the workshop, that is, a drum-type thin plate drying machine KLD. After using a method of self-correcting the parameters of the moisture content of the leaf silk drying, one process quality, that is, the process data of the drying moisture content of the leaf silk, has been improved, and the moisture characteristic values of the two heads, that is, the overshoot and the stabilization time, have been improved. Good control effects and feedback received.

Description

Parameter self-correction method/system, computer-readable storage medium and device

technical field

The invention belongs to the technical field of tobacco silk-making process control, and relates to a self-correction method and system, in particular to a parameter self-correction method/system, a computer-readable storage medium and equipment.

Background technique

The leaf drying equipment is one of the important equipments in cigarette production, and it is the key equipment that determines the intrinsic quality of cigarettes. At present, in the domestic tobacco industry silk production process, the drum-type thin-plate drying machine is the most commonly used tobacco leaf drying equipment. Its working principle is to use the combined drying method of conduction and convection to dry and dehumidify the leaf silk. The working status of the veneer dryer includes preheating, start-up, production and tailing.

In the start-up state, since the cut tobacco has not yet reached the exit of the drying cylinder, the drying machine cannot realize the feedback control of moisture. At this stage, the temperature of the cylinder wall is mainly determined by the feedforward control. The feedforward control depends on the understanding of the equipment model and the The parameter setting is accurate.

During the commissioning and acceptance of the cigarette cut tobacco production line, the supplier's engineer solidified the technical parameters of the equipment used in the shredded filament drying material. However, with the increase of the use time, the hardware condition of the equipment changed, and the output of small brands continued to increase. The control mode and equipment parameters are no longer applicable to the current production situation.

Therefore, how to provide a parameter self-correction method/system, computer-readable storage medium and equipment to solve the technical parameters of the equipment used by the supplier's engineer when the cigarette cut production line is debugged and accepted in the prior art It has been cured, but with the increase of use time, the hardware status of the equipment changes, and the output of small brands continues to increase. The original control mode and equipment parameters are no longer applicable to the current production situation and other defects. It has become a person skilled in the art. Technical problems to be solved urgently.

SUMMARY OF THE INVENTION

In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a self-correcting method/system for parameters, a computer-readable storage medium and a device, which are used to solve the problem of supplying the The engineers of the company have solidified the technical parameters of the equipment used in the drying head, but with the increase of the use time, the hardware status of the equipment changes, and the output of small brands continues to increase. The original control mode and equipment parameters are no longer applicable. production situation.

In order to achieve the above purpose and other related purposes, on the one hand, the present invention provides a self-correction method for parameters, which is used to correct the rated water extraction working point and/or the preloaded dehydration coefficient in the control parameters of the drying moisture content of the leaf silk; The self-correction method of the parameters includes: receiving the specified rated water extraction volume working point and/or the preloaded dehydration coefficient as the self-correction target parameter; and/or correcting the preloading dehydration coefficient of each cigarette production brand according to the correction mode of the preloading dehydration coefficient; wherein each cigarette production brand includes a small brand and a regular brand.

In an embodiment of the present invention, the step of revising the rated working point of the water extraction amount of each cigarette production brand according to the correction mode of the rated water extraction amount working point includes: after entering the production process, collecting the drum of the drying drum. The process data of wall temperature and water extraction amount until the drying cylinder enters the material tail state; according to the collected process data of the cylinder wall temperature and water extraction volume of the silk drying cylinder, calculate the average value of the cylinder wall temperature and the average water extraction volume of the drying cylinder; According to the average value of the water extraction amount, the water extraction amount based on the rated cylinder wall temperature is calculated; according to the cigarette production brand, the water extraction amount based on the rated cylinder wall temperature is written into the corresponding water extraction amount data stack; The water extraction amount of each batch of cigarette production brands is based on the rated cylinder wall temperature, and the weighted average is calculated to obtain the temporary storage value of the water extraction amount of each cigarette production brand.

In an embodiment of the present invention, the average value of the temperature of the cylinder wall of the drying cylinder is equal to the sum of the temperature of the cylinder wall of the drying cylinder collected every predetermined collection period divided by the number of collections after entering the production process; It is equal to dividing the sum of the process data of water extraction amount collected every predetermined collection period by the collection times after entering the production process. ,

In an embodiment of the present invention, the water extraction amount based on the rated cylinder wall temperature=the average value of the water extraction amount-(the average value of the cylinder wall temperature of the drying cylinder-the rated cylinder wall temperature)/the drying coefficient in the formula parameters of the drying machine .

In an embodiment of the present invention, the temporary storage value of the water extraction amount of the cigarette production brand = the water extraction amount based on the rated cylinder wall temperature of the first batch multiplied by its corresponding weight value + the second batch is based on the rated cylinder wall temperature Multiply the water-extraction amount as the benchmark by its corresponding weight value +... + the N-th batch of the water-extraction amount based on the rated cylinder wall temperature multiplied by its corresponding weight value.

In an embodiment of the present invention, the step of correcting the preloading dehydration coefficient of each cigarette production brand according to the correction mode of the preloading dehydration coefficient includes: after the drying cylinder is turned into the start-up stage, collecting and counting the exits. moisture value to obtain the maximum value of the outlet moisture value; calculate the difference between the preset outlet moisture value and the maximum value of the outlet moisture value obtained after the start-up stage; find the difference between the preloaded dehydration coefficient database and the The correction coefficient of the preloaded dehydration coefficient corresponding to the value; write the correction coefficient of the preloaded dehydration coefficient corresponding to each cigarette production brand into the corresponding preloaded dehydration coefficient data stack; The weighted average calculation of the correction coefficients of the batches is carried out to obtain the weighted average value of the correction coefficients of each cigarette production brand; according to the weighted average value of the correction coefficients, the preloaded dehydration coefficient of each cigarette production brand is calculated.

In an embodiment of the present invention, the weighted average of the correction coefficients of each cigarette production brand = the correction coefficient of the first batch multiplied by the corresponding weight value + the correction coefficient of the second batch multiplied by the corresponding weight value + ... + the correction coefficient of the Mth batch multiplied by the corresponding weight value; the preload dehydration coefficient of each cigarette production brand = the weighted average of the correction coefficients of each cigarette production brand × the preload dehydration coefficient to be corrected.

Another aspect of the present invention provides a parameter self-correction system for correcting the rated water extraction working point and/or the preload dewatering coefficient in the control parameters of the slug drying moisture content head; the parameter self-correction system includes: The receiving module is used to receive the specified rated working point of the water extraction amount and/or the preloaded dehydration coefficient as the self-correction target parameter; the first correction module is used for correcting the rated working point of the water extraction amount according to the correction mode of each cigarette production brand. Correction at the rated working point of the water extraction amount; and/or a second correction module for correcting the preloaded dehydration coefficient of each cigarette production brand according to the correction mode of the preloaded dehydration coefficient; wherein, each cigarette production brand includes small grades and regular grades.

Another aspect of the present invention provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the self-correction method for the parameter is implemented.

A final aspect of the present invention provides an apparatus, comprising: a processor and a memory; the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the apparatus executes the parameters of the parameter Self-correcting method.

As described above, the parameter self-correction method/system, computer-readable storage medium and device of the present invention have the following beneficial effects:

The self-correcting method/system of the parameters described in the present invention is deployed on a set of leaf silk drying equipment in the workshop, that is, the drum-type veneer drying machine KLD. After using a self-correction method for the parameters of the drying moisture feed head, one process quality, that is, the process data of the drying moisture content of the leaf silk, has been improved, and the moisture characteristic values of the two feed heads, that is, the overshoot and the stabilization time, have been improved. Good control effects and feedback received.

Description of drawings

FIG. 1A is a schematic flowchart of a method for self-correcting parameters of the present invention in an embodiment.

FIG. 1B is a schematic flowchart of S12 in the parameter self-correction method of the present invention.

FIG. 1C shows a schematic flowchart of S13 in the parameter self-correction method of the present invention.

FIG. 2A is a schematic flow chart of the self-correction method of the small grade parameters of the present invention in one embodiment.

FIG. 2B is a schematic flow chart of S22 in the self-correction method of the parameters of small grades of the present invention.

FIG. 3 is a schematic diagram showing the principle structure of the parameter self-correction system of the present invention in an embodiment.

FIG. 4 is a schematic diagram showing the principle structure of the self-correction system for small grade parameters of the present invention in an embodiment.

Component label description

3-parameter self-correcting system

31 Receiver module

32 First Amendment Module

33 Second Correction Module

4 Self-correction system for parameters of small grades

40 Judgment Module

43 Third correction module

44 Fourth correction module

45 Fifth correction module

46 Sixth correction module

S1～Sn steps

Detailed ways

The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.

It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of components in actual implementation. For dimension drawing, the type, quantity and proportion of each component can be changed at will in actual implementation, and the component layout may also be more complicated.

Example 1

This embodiment provides a parameter self-correction method, which is used to correct the rated water extraction working point and/or the preload dehydration coefficient in the control parameters of the blade silk drying moisture content head; the parameter self-correction method includes:

Receive the specified rated working point of water extraction and/or the preloaded dehydration coefficient as the self-correcting target parameter;

Correcting the rated water extraction operating point for each cigarette production brand according to the correction mode for the water extraction rated operating point; and/or

According to the correction mode of the preload dehydration coefficient, the preload dehydration coefficient of each cigarette production brand is corrected;

Wherein, each of the cigarette production grades includes small grades and conventional grades.

The parameter self-correction method provided in this embodiment will be described in detail below with reference to the drawings. The parameter self-correction method described in this embodiment is used to correct the rated water extraction working point and/or the preloaded dehydration coefficient in the control parameters of the drying moisture content of the blade silk.

Before implementing the parameter self-correction method described in this embodiment, it is necessary to find out the most critical factor affecting the outlet moisture. Since the ultimate target is outlet moisture, first analyze which factor has the greatest impact on outlet moisture. The main factors that affect the moisture at the drying outlet are: incoming moisture, feed flow, circulating hot air temperature, cylinder wall temperature, and air extraction hood pressure. Through the multiple linear regression in the "linear classification method" to these 5 predictors and 1 response, it is judged that the most influential factor of the outlet moisture is the cylinder wall temperature. Then select the cylinder wall temperature parameters. There are 12 parameters in the recipe parameters of the drying cylinder, of which there are 4 items related to the cylinder wall temperature, which are the preloading dehydration coefficient, the rated working point (parameter) of the water extraction amount, and the rated working point of the cylinder wall temperature ( parameters), the drying coefficient of the cylinder wall temperature. In the process of selecting the temperature parameters of the cylinder wall, there is a relevant calculation formula between the rated working point (parameter) of the water extraction volume and the rated working point (parameter) of the cylinder wall temperature. Under certain conditions, the rated working point of the batch water volume and the rated working point of the cylinder wall temperature can be converted to each other. The rated working point of the front cylinder wall temperature is a parameter issued by the process department, so the rated working point of the cylinder wall temperature is selected as quantitative, and the rated working point of water extraction is variable. Next, single-variable adjustments were made in the preloading dehydration coefficient, the rated working point (parameter) of the water extraction amount, and the drying coefficient of the cylinder wall temperature to observe its influence on the cylinder temperature. The rated working point of the water extraction volume and the preload dehydration coefficient are selected as the target parameters of self-correction.

In this embodiment, the preload coefficient is used to obtain the set cylinder wall temperature through the calculation of the rated cylinder temperature parameter and the rated water extraction amount parameter during the start-up stage of the drying cylinder. However, in order to reduce the overshoot or undershoot of the head moisture during startup, there is a preload coefficient in the parameters, which can increase the temperature of the cylinder wall proportionally during the startup stage, and reduce the overshoot or undershoot of the head moisture through adjustment.

Please refer to FIG. 1A , which is a schematic flowchart of a self-correction method for parameters in an embodiment. As shown in Figure 1A, the self-correction method of the parameters specifically includes the following steps:

S11, receiving the specified rated water extraction working point and/or the preload dehydration coefficient as a self-correcting target parameter; wherein, the production grades of each cigarette include small grades and regular grades. In this embodiment, the small brand refers to the cigarette production brand with low production frequency, and the conventional brand refers to the cigarette production brand with high production frequency.

S12, according to the correction mode of the rated working point of the water extraction amount, correct the rated water extraction amount working point of each cigarette production brand.

Referring to FIG. 1B , a schematic flowchart of S12 is shown. As shown in FIG. 1B , the S12 specifically includes:

S121, after entering the production process, collect the process data of the temperature of the cylinder wall of the drying cylinder and the amount of water pulling, until the drying cylinder enters the material tail state. In this embodiment, the process data of the temperature of the cylinder wall of the drying cylinder and the amount of water pulled are collected at a predetermined collection cycle until the drying cylinder enters the tail state. For example, data a ₁ ,a ₂ ,…,an ,b ₁ ,b ₂ ,…,b _n are automatically collected every 6 seconds, where a _n is the cylinder wall temperature collected at the nth time, and b _n is the cylinder wall temperature collected at the _nth time. The process data of the water extraction amount collected for n times.

S122, according to the collected process data of the cylinder wall temperature and the water extraction amount of the silk drying cylinder, calculate the average value of the cylinder wall temperature and the average water extraction amount.

For example, the average value of the cylinder wall temperature of the drying cylinder is equal to the sum of the cylinder wall temperatures of the drying cylinder collected every predetermined collection period divided by the number of collections after entering the production process, that is,

The average value of the water extraction amount is equal to the sum of the water extraction process data collected every predetermined collection period divided by the number of collections after entering the production process, that is,

S123, according to the average value of the water extraction amount, calculate the water extraction amount based on the rated cylinder wall temperature.

In this embodiment, the water extraction amount based on the rated cylinder wall temperature = the average value of the water extraction amount - (the average value of the cylinder wall temperature of the drying cylinder - the rated cylinder wall temperature)/the drying coefficient in the formula parameters of the drying machine.

For example, taking the cylinder temperature of 130°C as the rated cylinder wall temperature, the corresponding water extraction amount C _w130 is calculated.

其中DFW为烘丝机配方参数中干燥系数。The amount of water pulled

DFW is the drying coefficient in the formula parameters of the drying machine.

S124: Write the water extraction amount based on the rated cylinder wall temperature into the corresponding water extraction amount data stack according to the cigarette production brand.

S125 , extract the water extraction amount of each batch of each cigarette production brand based on the rated cylinder wall temperature from the water extraction amount data stack, and calculate the weighted average to obtain the temporary water extraction amount of each cigarette production brand.

In this step, the weight value corresponding to the water extraction amount based on the rated cylinder wall temperature for each batch of each cigarette production brand is preset.

The temporary storage value of the water extraction amount of each cigarette brand is equal to the water extraction amount based on the rated cylinder wall temperature of the first batch multiplied by its corresponding weight value + the water extraction amount based on the rated cylinder wall temperature of the second batch multiplied by its Corresponding weight value+…+ Multiplying the water extraction amount of the Nth batch based on the rated cylinder wall temperature by its corresponding weight value.

For example, the weight values of 20 batches are set as the first batch of weights f1 = 50%, the second to tenth batches of weights f2 = 30%, and the eleventh to twentieth batches of weights f3 = 20%.

的计算公式如下：Temporary storage value of water withdrawal amount of cigarette brand

The calculation formula is as follows:

and / or

S13 , correcting the preloading dehydration coefficient of each cigarette production brand according to the correction mode of the preloading dehydration coefficient.

Please refer to FIG. 1C , which is a schematic flowchart of S13 . As shown in Figure 1C, the S13 includes:

S131 , after the spinning drum is transferred to the start-up stage, the outlet moisture value is collected and counted to obtain the maximum value of the outlet moisture value in this stage, until it is transferred to the production stage.

In this embodiment, the outlet moisture value is collected at a predetermined collection cycle, for example, collected and recorded every 6 seconds, the outlet moisture value after the next 6-second collection is the same as the outlet moisture value after the previous 6-second collection If the value is greater than the value, the outlet moisture value collected after the last 6 seconds will be covered until the dryer enters the production state, and the maximum value of the outlet moisture value will be obtained.

S132: Calculate the difference between the preset outlet moisture value and the maximum value of the outlet moisture value obtained after the start-up stage.

S133: Search for the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the database of the preloaded dehydration coefficient.

S134, write the correction coefficient of the preloaded dehydration coefficient corresponding to each cigarette production brand into the corresponding preloaded dehydration coefficient data stack.

S135: Perform a weighted average calculation on the correction coefficients of each batch of each cigarette production brand in the preloaded dehydration coefficient data stack to obtain the weighted average of the correction coefficients of each cigarette production brand.

In this step, the weight value corresponding to the correction coefficient of each batch of each cigarette production brand is preset.

The weighted average value of the correction coefficients of each cigarette production brand = the correction coefficient of the first batch multiplied by the corresponding weight value + the correction coefficient of the second batch multiplied by the corresponding weight value + ... + the correction coefficient of the Mth batch Multiply by its corresponding weight value.

For example, the weight values of 10 batches are set as the first batch of weights f1=50%, the second to fifth batches of weights f2=30%, and the sixth to tenth batches of weights f3=20%.

的计算公式如下：Correction factor weighted average of cigarette generation grades

The calculation formula is as follows:

S136, calculate the preload dehydration coefficient of each cigarette production brand according to the weighted average value of the correction coefficient.

×需修正的预加载脱水系数。In this embodiment, the preloaded dehydration coefficient of each cigarette production brand = the weighted average value of the correction coefficient of each cigarette production brand

×Preload dehydration coefficient to be corrected.

Through the self-correction method of the parameters described in this embodiment, it is deployed on a set of leaf silk drying equipment in the workshop, that is, the drum-type veneer drying machine KLD. After using a self-correction method for the parameters of the drying moisture feed head, one process quality, that is, the process data of the drying moisture content of the leaf silk, has been improved, and the moisture characteristic values of the two feed heads, that is, the overshoot and the stabilization time, have been improved. Good control effects and feedback received.

The present embodiment also provides a kind of self-correction method of small grade parameters based on the above-mentioned parameter self-correction method, including:

After receiving the current batch production task, determine whether the current batch production task is a production task for producing small grades; At the same time, according to the correction mode of the preloaded dehydration coefficient, the preloaded dehydration coefficient of each small brand is corrected; At the same time, according to the correction mode of the preload dehydration coefficient, the preload dehydration coefficient of each conventional brand is revised.

The self-correction method for the parameters of small grades described in this embodiment will be described in detail below with reference to the drawings. Please refer to FIG. 2A , which is a schematic flowchart of a self-correction method for parameters of small grades in one embodiment. As shown in Figure 2A,

S21, after receiving the current batch production task, judge whether this current batch production task is the production task of producing small brand, if yes, then execute S22 and S22', if not, then execute S23 and S23'.

S22, combined with the temporary storage value of the water extraction amount of the conventional brand in the historical production batch of the conventional brand, obtain the water extraction amount working point parameter of each small brand in the current batch. Please refer to FIG. 2B , which is a schematic flowchart of S22 . As shown in Figure 2B, the S22 includes the following steps:

S221, read the temporary storage value of the water extraction amount of the conventional brand in the last production batch of the small brand and the temporary storage value of the water extraction amount of the conventional brand in the latest production batch of the conventional brand.

S222, according to the temporary storage value of the water extraction amount of the conventional brand in the last production batch of the small brand, and the temporary storage value of the water extraction amount of the conventional brand in the latest production batch of the conventional brand, obtain the reference coefficient of the working condition change.

Specifically, according to the temporary storage value of the water extraction amount of the conventional brand during the last production batch of the small brand, and the temporary storage value of the water extraction amount of the conventional brand in the latest production batch of the conventional brand, the difference between the two is calculated, and according to the difference between the two, Query in the database to get the working condition variation reference coefficient corresponding to the difference between the two.

S223, read the temporary storage value of the water extraction amount of the previous production batch of the small brand and read the temporary storage value of the water extraction amount of the small brand of the current production batch of the small brand.

S224, according to the temporary storage value of the water extraction amount of the previous production batch of the small brand and the temporary storage value of the water extraction amount of the current production batch of the small brand, obtain a reference coefficient for the change of the water extraction amount of the small brand.

Specifically, the difference between the two is calculated according to the temporary storage value of the water extraction amount of the previous production batch of the small brand and the temporary storage value of the water extraction amount of the current production batch of the small brand. The difference between the two corresponds to the reference coefficient for the change of the water withdrawal amount of the small brand.

S225, averaging the working condition variation reference coefficient and the small brand water extraction volume variation reference coefficient to obtain the water extraction volume variation proportional coefficient. That is to say, the proportional coefficient of the change of the water withdrawal amount = (the reference coefficient of the working condition change + the reference coefficient of the change of the water withdrawal amount of the small brand)/2.

S226: Multiply the preset small-brand water-pulling amount parameter by the obtained water-pulling-amount variation proportional coefficient to obtain the water-pulling amount working point parameter of each small brand in the current batch.

S22', according to the correction mode of the preload dehydration coefficient, correct the preload dehydration coefficient of each small brand.

Specifically, it includes the following steps:

After the drying drum is turned into the start-up stage, the outlet moisture value is collected and counted to obtain the maximum value of the outlet moisture value;

Calculate the difference between the preset outlet moisture value and the maximum value of the outlet moisture value obtained after the start-up stage;

Find the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the database of the preloaded dehydration coefficient;

Write the correction coefficient of the preloaded dehydration coefficient corresponding to each small brand into the corresponding preloaded dehydration coefficient data stack;

Carry out the weighted average calculation of the correction coefficients of each batch of each small brand in the preloaded dehydration coefficient data stack to obtain the weighted average of the correction coefficients of each small brand;

According to the weighted average value of the correction coefficient, the preload dehydration coefficient of each small brand is calculated.

S23, according to the correction mode of the rated working point of the water extraction amount, correct the rated water extraction amount working point of each conventional brand.

Specifically, step S23 includes:

After entering the production process, collect the process data of the cylinder wall temperature and water pulling amount of the drying cylinder until the drying cylinder enters the tail state;

According to the collected process data of the cylinder wall temperature and water extraction amount of the drying cylinder, calculate the average value of the cylinder wall temperature and the average water extraction amount;

According to the average value of the water extraction amount, calculate the water extraction amount based on the rated cylinder wall temperature;

Write the water extraction amount based on the rated cylinder wall temperature into the corresponding water extraction amount data stack according to each conventional brand;

The water extraction volume of each batch of each conventional brand based on the rated cylinder wall temperature is extracted from the water extraction volume data stack, and the weighted average is calculated to obtain the temporary storage value of the water extraction volume of each conventional brand.

At the same time S23', according to the correction mode of the preload dehydration coefficient, the preload dehydration coefficient of each conventional brand is corrected.

Specifically, S23' includes:

After the drying drum is transferred to the start-up stage, the outlet moisture value is collected and counted to obtain the maximum value of the outlet moisture value in this stage, until it is transferred to the production stage;

Calculate the difference between the preset outlet moisture value and the maximum value of the outlet moisture value obtained after the start-up stage;

Find the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the database of the preloaded dehydration coefficient;

Write the correction coefficient of the preloaded dehydration coefficient corresponding to each conventional brand into the corresponding preloaded dehydration coefficient data stack;

The weighted average calculation of the correction coefficients for each batch of each conventional brand in the preloaded dehydration coefficient data stack to

Obtain the weighted average value of the correction coefficient of each conventional grade;

According to the weighted average value of the correction coefficient, the preload dehydration coefficient of each conventional brand is calculated.

Through the self-correction method for the parameters of small grades described in this embodiment, the control method can be adapted to the changing working conditions of the drying machine hardware and the characteristics of small grades are taken into consideration, and the characteristic index of the material head produced by the conventional grades and small grades tasks is improved and Process Capability Index.

The self-correction method provided in this embodiment is deployed on a set of blade silk drying equipment in the workshop, that is, a drum-type veneer drying machine KLD. After using a self-correction method for the parameters of the drying moisture feed head, one process quality, that is, the process data of the drying moisture content of the leaf silk, has been improved, and the moisture characteristic values of the two feed heads, that is, the overshoot and the stabilization time, have been improved. Received relatively good control effects and feedback. Through two consecutive months of sampling, the data of 62 batches of conventional brands with feed heads and 39 batches of data of small grades with feed heads were obtained. The specific effects are as follows:

Among the internal control indicators of drying moisture content of leaf silk in the factory:

1. The drying moisture content of conventional grades of leaf silk is Ppk ≥ 2.00, and the compliance rate is increased from the original 70% to 80.6%; the stabilization time is less than or equal to 12min, and the compliance rate is increased from the original 30% to 85.4%; moisture feed head overshoot The absolute value is less than or equal to 0.5%, and the compliance rate is increased from 70% to 91.9%;

2. The drying moisture content of the small brand leaf silk is Ppk ≥ 1.33, and the compliance rate is increased from the original 50% to 82.5%; the stabilization time ≤ 13min is the compliance rate, and the compliance rate is increased from the original 30% to 87.1%; The absolute value is less than or equal to 0.5%, and the compliance rate is increased from 50% to 84.6%.

This embodiment also provides a storage medium (computer-readable storage medium) on which a computer program is stored, and when the program is executed by a processor, realizes the self-correction method of the parameter, and/or realizes the parameter of the small grade. Self-correcting method. Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments may be completed by hardware related to computer programs. The aforementioned computer program may be stored in a computer-readable storage medium. When the program is executed, the steps including the above method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

Embodiment 2

In this embodiment, a parameter self-correction system is used to correct the rated water extraction working point and/or the preloaded dehydration coefficient in the control parameters of the drying moisture content of the blade silk. Please refer to FIG. 3 , which is a schematic diagram showing the principle connection of the parameter self-correction system in one embodiment. As shown in FIG. 3 , the parameter self-correction system 3 includes: a receiving module 31 , a first correction module 32 and/or a second correction module 33 .

In this embodiment, the receiving module 31 is configured to receive the specified rated working point of water extraction amount and/or the preloaded dehydration coefficient as the self-correcting target parameter. Wherein, each of the cigarette production grades includes small grades and conventional grades.

The first correction module 32 coupled with the receiving module 32 is used for correcting the rated water extraction amount working point of each cigarette production brand according to the correction mode of the water extraction amount rated operation point.

Specifically, the first modification module 32 is used to collect the process data of the cylinder wall temperature and the water pulling amount of the drying cylinder after entering the production process, until the drying cylinder enters the tail state; According to the process data of wall temperature and water extraction volume, calculate the average value of cylinder wall temperature and water extraction volume; according to the average water extraction volume, calculate the water extraction volume based on the rated cylinder wall temperature; according to the cigarette production brand, the rated cylinder wall temperature will be used as the benchmark The water extraction amount is written into the corresponding water extraction amount data stack; the water extraction amount of each batch of each cigarette production brand based on the rated cylinder wall temperature is extracted from the water extraction amount data stack, and the weighted average is calculated to obtain the production of each cigarette. The temporary storage value of the water withdrawal amount of the brand.

The second correction module 33 coupled with the receiving module 31 is used to correct the preloaded dehydration coefficient of each cigarette production brand according to the correction mode of the preloaded dehydration coefficient.

Specifically, the second correction module 33 is used to collect the process data of the cylinder wall temperature and the water pulling amount of the drying cylinder after entering the production process, until the drying cylinder enters the tail state; According to the process data of wall temperature and water extraction volume, calculate the average value of cylinder wall temperature and water extraction volume; according to the average water extraction volume, calculate the water extraction volume based on the rated cylinder wall temperature; according to the cigarette production brand, the rated cylinder wall temperature will be used as the benchmark The water extraction amount is written into the corresponding water extraction amount data stack; the water extraction amount of each batch of each cigarette production brand based on the rated cylinder wall temperature is extracted from the water extraction amount data stack, and the weighted average is calculated to obtain the production of each cigarette. The temporary storage value of the water withdrawal amount of the brand.

This embodiment also provides a parameter-based self-correction system for small-grade parameters of the self-correction system. Please refer to FIG. 4 , which is a schematic diagram showing the principle structure of a self-correcting system for small grade parameters in an embodiment. As shown in FIG. 4 , the self-correction system 4 for parameters of small grades includes a judgment module 40 , a third correction module 43 , a fourth correction module 44 , a fifth correction module 45 and a sixth correction module 46 .

Specifically, the judging module 40 is used to judge whether the current batch production task is a production task for producing small brands after receiving the current batch production task, and if so, call the third correction module 43 and the fourth The correction module 44, if not, calls the fifth correction module 45 and the sixth correction module 46.

The third correction module 43 is used to obtain the working point parameters of the water extraction amount of each small brand in the current batch in combination with the temporary storage value of the water extraction amount of the conventional brand in the historical production batch of the conventional brand.

Specifically, the third correction module 43 is used to read the temporary storage value of the water withdrawal amount of the conventional brand in the penultimate production batch of the conventional brand and the temporary storage value of the water extraction amount of the conventional brand in the latest production batch of the conventional brand; The temporary storage value of the water withdrawal amount of the conventional brand in the penultimate production batch, the temporary storage value of the water extraction amount of the conventional brand in the latest production batch of the conventional brand, and obtain the reference coefficient of working condition change; read the small brand in the penultimate production batch of the small brand Temporary storage value of water withdrawal amount and read the temporary storage value of water withdrawal amount of the latest production batch of small brand; The temporary storage value of the water withdrawal amount of the small brand is obtained, and the reference coefficient of the water withdrawal amount change of the small brand is obtained; the working condition change reference coefficient and the water withdrawal amount change reference coefficient of the small brand are averaged to obtain the proportional coefficient of the water withdrawal amount; The water volume parameter is multiplied by the obtained water extraction volume change proportional coefficient to obtain the water extraction volume working point parameters of each small brand in the current batch.

Specifically, the difference between the two is calculated according to the temporary storage value of the water extraction amount of the conventional brand in the penultimate production batch of the conventional brand, and the temporary storage value of the water extraction amount of the conventional brand in the latest production batch of the conventional brand, according to the difference between the two, Query in the database to get the working condition variation reference coefficient corresponding to the difference between the two.

Specifically, the difference between the two is calculated according to the temporary storage value of the water extraction amount of the small brand in the penultimate production batch of the small brand and the temporary storage value of the water extraction amount of the small brand in the latest production batch of the small brand, and according to the difference between the two, Search in the database to obtain the reference coefficient for the change of the water withdrawal amount of the small brand corresponding to the difference between the two.

The fourth correction module 43 is used to correct the preloaded dehydration coefficient of each small brand according to the correction mode of the preloaded dehydration coefficient.

Specifically, the fourth correction module 43 is used to collect and count the moisture value at the outlet after the drying drum is turned into the start-up stage to obtain the maximum value of the moisture value at the outlet; calculate the preset moisture value at the outlet and the start-up stage The difference between the maximum value of the outlet moisture value obtained later; look up the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the database of the preloaded dehydration coefficient; write the correction coefficient of the preloaded dehydration coefficient corresponding to each small brand into the corresponding preloaded dehydration coefficient data stack; carry out weighted average calculation of the correction coefficients of each batch of each small brand in the preloaded dehydration coefficient data stack to obtain the weighted average of the correction coefficients of each small brand; weighted according to the correction coefficient Average value, calculate the preload dehydration coefficient of each small brand.

The fifth correction module 45 is used for correcting the rated water extraction amount working point of each conventional brand according to the correction mode of the water extraction amount rated operation point.

Specifically, the fifth correction module 45 is used to collect the process data of the cylinder wall temperature and water extraction amount of the drying cylinder after entering the production process, until the drying cylinder enters the tail state; according to the collected cylinder wall of the drying cylinder According to the process data of temperature and water extraction volume, calculate the average value of the temperature of the cylinder wall and the average value of the water extraction volume; according to the average value of the water extraction volume, calculate the water extraction volume based on the rated cylinder wall temperature; The water extraction volume is written into the corresponding water extraction volume data stack; the water extraction volume of each batch of each conventional brand based on the rated cylinder wall temperature is extracted from the water extraction volume data stack, and the weighted average is calculated to obtain the extraction volume of each conventional brand. Temporary storage value of water volume.

The sixth modification module 46 is configured to modify the preloaded dehydration coefficient of each conventional brand according to the modification mode of the preloaded dehydration coefficient.

Specifically, the sixth correction module 46 is used to collect and count the moisture value at the outlet after the drying drum is transferred to the start-up stage to obtain the maximum value of the moisture value at the outlet; calculate the preset moisture value at the outlet and the start-up stage The difference between the maximum value of the outlet moisture value obtained later; look up the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the database of the preloaded dehydration coefficient; write the correction coefficient of the preloaded dehydration coefficient corresponding to each conventional brand into the corresponding preloaded dehydration coefficient data stack; the weighted average calculation of the correction coefficients of each batch of each conventional brand in the preloaded dehydration coefficient data stack is carried out to obtain the weighted average of the correction coefficients of each conventional brand; weighted according to the correction coefficient The average value was used to calculate the preload dehydration coefficient of each conventional brand.

It should be noted that, it should be understood that the division of each module of the above systems 3 and 4 is only a division of logical functions, and may be fully or partially integrated into a physical entity in actual implementation, or may be physically separated. And these modules can all be implemented in the form of software calling through processing elements; they can also all be implemented in hardware; some modules can also be implemented in the form of calling software through processing elements, and some modules can be implemented in hardware. For example, the x module may be a separately established processing element, or it may be integrated into a certain chip of the above-mentioned device to be implemented, in addition, it may also be stored in the memory of the above-mentioned device in the form of program code, and a certain processing element of the above-mentioned device Calls and executes the functions of the above x module. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together, and can also be implemented independently. The processing element described here may be an integrated circuit with signal processing capability. In the implementation process, each step of the above-mentioned method or each of the above-mentioned modules can be completed by an integrated logic circuit of hardware in the processor element or an instruction in the form of software.

For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), or one or more microprocessors (digitalsingnal processor, for short) DSP), or one or more Field Programmable Gate Arrays (Field Programmable Gate Array, FPGA for short), etc. For another example, when one of the above modules is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU for short) or other processors that can call program codes. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC for short).

Embodiment 3

This embodiment provides a device, including: a processor, a memory, a transceiver, a communication interface, and a system bus; the memory and the communication interface are connected to the processor and the transceiver through the system bus and communicate with each other, and the memory is used to store a computer The program, the communication interface is used to communicate with other devices, the processor and the transceiver are used to run the computer program, so that the x device executes each step of the parameter self-correction method as described in Embodiment 1, and/or executes the steps as described in Embodiment 1. Describe the steps of the self-correction method for the parameters of small grades.

The system bus mentioned above may be a Peripheral Pomponent Interconnect (PCI for short) bus or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA for short) bus or the like. The system bus can be divided into address bus, data bus, control bus and so on. For ease of presentation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. The communication interface is used to realize the communication between the database access device and other devices (eg client, read-write library and read-only library). The memory may include random access memory (Random Access Memory, RAM for short), and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The above-mentioned processor can be a general-purpose processor, including a central processing unit (CentralProcessingUnit, referred to as CPU), a network processor (NetworkProcessor, referred to as NP), etc.; can also be a digital signal processor (DigitalSignalProcessing, referred to as DSP), application-specific integrated circuit ( ApplicationSpecificIntegratedCircuit, referred to as ASIC), field programmable gate array (Field-ProgrammableGateArray, referred to as FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

To sum up, the self-correction method/system of the parameters described in the present invention is deployed on a set of blade silk drying equipment in the workshop, that is, the drum-type veneer drying machine KLD. After using a self-correction method for the parameters of the drying moisture feed head, one process quality, that is, the process data of the drying moisture content of the leaf silk, has been improved, and the moisture characteristic values of the two feed heads, that is, the overshoot and the stabilization time, have been improved. Good control effects and feedback received. Through the self-correction method/system pairing of the parameters of small grades of the present invention, the control method can be adapted to the changing working conditions of the drying machine hardware and the characteristics of small grades are taken into consideration, and the characteristic index of the material head produced by the tasks of conventional grades and small grades is improved. and process capability index. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial application value.

The above-mentioned embodiments merely illustrate the principles and effects of the present invention, but are not intended to limit the present invention. Anyone skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed in the present invention should still be covered by the claims of the present invention.

Claims (8)

1. the self-correction method of a parameter, it is characterized in that, for revising the water extraction rate rated working point and/or the preload dehydration coefficient in the control parameter of the blade silk drying moisture content head; The self-correction method of described parameter comprises: Receive the specified rated working point of water extraction volume and/or preload dehydration coefficient as self-correction target parameters; According to the correction mode of the rated water extraction amount working point, the rated water extraction amount working point of each cigarette production brand is corrected; wherein, the steps of revising the water extraction amount rated working point of each cigarette production brand include: After entering the production process, collect the process data of the cylinder wall temperature and water pulling amount of the drying cylinder until the drying cylinder enters the tail state; According to the collected process data of the cylinder wall temperature and the water extraction amount of the drying cylinder, calculate the average value of the cylinder wall temperature and the average water extraction volume of the silk drying cylinder; According to the average value of the water extraction amount, calculate the water extraction amount based on the rated cylinder wall temperature; Write the water extraction amount based on the rated cylinder wall temperature into the corresponding water extraction amount data stack according to the cigarette production brand; Extract the water extraction amount based on the rated cylinder wall temperature for each batch of each cigarette production brand from the water extraction amount data stack, and calculate the weighted average to obtain the correction value and/or the rated working point of the water extraction amount for each cigarette production brand. or According to the correction mode of the preload dehydration coefficient, the preload dehydration coefficient of each cigarette production brand is corrected; wherein, the steps of revising the preload dehydration coefficient of each cigarette production brand include: After the drying drum is transferred to the start-up stage, the outlet moisture value is collected and counted to obtain the maximum value of the outlet moisture value in this stage, until it is transferred to the production stage; Calculate the difference between the preset outlet moisture value and the maximum value of the outlet moisture value obtained after the start-up stage; Find the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the database of the preloaded dehydration coefficient; Write the correction coefficient of the preloaded dehydration coefficient corresponding to each cigarette production brand into the corresponding preloaded dehydration coefficient data stack; Perform a weighted average calculation on the correction coefficients of each batch of each cigarette production brand in the preloaded dehydration coefficient data stack to obtain the weighted average of the correction coefficients of each cigarette production brand; Calculate the preloaded dehydration coefficient of each cigarette production brand according to the weighted average value of the correction coefficient; Wherein, each of the cigarette production grades includes small grades and conventional grades. 2. The self-correction method of parameter according to claim 1, is characterized in that, The average value of the cylinder wall temperature of the drying cylinder is equal to the sum of the cylinder wall temperatures of the drying cylinder collected every predetermined collection period divided by the number of collections after entering the production process; The average value of the water removal amount is equal to the sum of the water removal amount process data collected every predetermined collection period divided by the collection times after entering the production process. 3. The self-correction method of parameter according to claim 2, is characterized in that, The water extraction amount based on the rated cylinder wall temperature = the average value of the water extraction amount - (the average value of the cylinder wall temperature of the drying cylinder - the rated cylinder wall temperature) / the drying coefficient in the formula parameters of the drying machine. 4. The self-correction method of parameter according to claim 3, it is characterized in that, the water-extraction amount of cigarette production brand is temporarily stored value=the first batch of water-extraction amount based on rated cylinder wall temperature multiplied by its corresponding weight value +The water extraction amount based on the rated cylinder wall temperature of the second batch multiplied by its corresponding weight value+…+The water extraction amount based on the rated cylinder wall temperature of the Nth batch multiplied by its corresponding weight value. 5. The self-correction method of parameter according to claim 1, is characterized in that, The weighted average value of the correction coefficients of each cigarette production brand = the correction coefficient of the first batch multiplied by the corresponding weight value + the correction coefficient of the second batch multiplied by the corresponding weight value + ... + the correction coefficient of the Mth batch Multiply by its corresponding weight value; The preload dehydration coefficient of each cigarette production brand = the weighted average of the correction coefficients of each cigarette production brand × the preload dehydration coefficient to be corrected. 6. A parameter self-correction system, characterized in that, it is used to correct the rated water extraction working point and/or the preloaded dehydration coefficient in the control parameters of the leaf silk drying moisture content head; the self-correction system of the parameter comprises: The receiving module is used to receive the specified rated working point of water extraction and/or the preloaded dehydration coefficient as the self-correcting target parameter; The first correction module is used for correcting the rated water extraction amount working point of each cigarette production brand according to the correction mode of the rated water extraction amount working point; the first correction module collects the cylinder wall of the drying cylinder after entering the production process. Process data of temperature and water extraction amount until the drying drum enters the tail state; according to the collected process data of drum wall temperature and water extraction amount, calculate the average value of drum wall temperature and water extraction amount of the drying drum; Calculate the average water extraction amount based on the rated cylinder wall temperature; write the water extraction amount based on the rated cylinder wall temperature into the corresponding extraction volume data stack according to the cigarette production brand; extract each cigarette from the extraction volume data stack The water extraction amount of each batch of the production brand based on the rated cylinder wall temperature, and the weighted average calculation of it to obtain the correction value of the rated water extraction amount and/or the rated working point of each cigarette production brand The second correction module is used to correct the preloaded dehydration coefficient of each cigarette production brand according to the correction mode of the preloaded dehydration coefficient; the second correction module collects and counts the exits after the drying cylinder is switched to the start-up stage. Moisture value to obtain the maximum value of the outlet moisture value in this stage until it is transferred to the production stage; calculate the difference between the preset outlet moisture value and the maximum value of the outlet moisture value obtained after the start-up stage; Find the correction coefficient of the preloaded dehydration coefficient corresponding to the difference in the dehydration coefficient database; write the correction coefficient of the preloaded dehydration coefficient corresponding to each cigarette production brand into the corresponding preloaded dehydration coefficient data stack; The correction coefficients of each batch of each cigarette production brand in the stack are calculated by weighted average to obtain the weighted average value of the correction coefficients of each cigarette production brand; according to the weighted average value of the correction coefficients, the preloading dehydration coefficient of each cigarette production brand is calculated; Wherein, each of the cigarette production grades includes small grades and conventional grades. 7 . A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the self-correction method for the parameters described in any one of claims 1 to 4 is implemented. 8. A self-correcting device, comprising: a processor and a memory; The memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the self-correcting device performs the self-correcting method of the parameters according to any one of claims 1 to 4.

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