CN112790421B - Cut stem charging outlet water content control method based on sliding window prediction - Google Patents
Cut stem charging outlet water content control method based on sliding window prediction Download PDFInfo
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- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B9/00—Control of the moisture content of tobacco products, e.g. cigars, cigarettes, pipe tobacco
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- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B3/00—Preparing tobacco in the factory
- A24B3/12—Steaming, curing, or flavouring tobacco
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Abstract
The invention provides a cut stem charging outlet water content control method based on sliding window prediction, which comprises the following steps: and (3) acquiring the humidifying water quantity of the fed cut stem, and calculating the average outlet water content of the cut stem by taking N times of collection in a set time period as a sliding window. And determining a first sliding window prediction model of the proportion of the humidified water and the outlet water content according to the variation trend of the humidified water amount and the average outlet water content. And acquiring a target value of the moisture content of the outlet of the current cut stem feeding material, and performing feedforward control on the proportion of the humidifying water required by reaching the target value through the first sliding window prediction model. The method can solve the problems that the moisture content of the outlet of the conventional cut stem feeding has hysteresis and is easy to cause inaccuracy, can improve the consistency of the moisture content of the outlet of each batch of cut stems, and improves the quality control capability in the production process.
Description
Technical Field
The invention relates to the technical field of cut tobacco processing control, in particular to a cut stem feeding outlet water content control method based on sliding window prediction.
Background
The cut stem is one of important components in the cigarette formula, is mainly used for improving the filling value of the cut tobacco and plays a role in reducing the tar of the cigarette. Therefore, the tar yield of the cigarette product and the cost of the cigarette product can be effectively reduced by improving the quality and the utilization rate of the cut stems. In the current common cut stem preparation process, firstly, moisture regain pretreatment is generally carried out on tobacco stems, then, the tobacco stems are pressed and cut to change the shapes of the tobacco stems, then, cut stem feeding and warming humidification are carried out, and finally, cut stem drying and dehydration are carried out to realize the preparation of cut stems.
The stem shred feeding is to apply the feed liquid on the stem shred according to the formula requirement, reduce the irritation and miscellaneous gas of the tobacco through the feeding process, and improve the sensory quality and physical properties of the tobacco. The stem shred feeding control is that a feeding system applies feed liquid to the stem shreds according to the flow rate and the feeding proportion of the stem shreds in the production process, wherein the feed liquid can be mixed with steam and sprayed through a nozzle. At present, steam pressure and humidification proportion are adjusted according to the moisture content of the cut stem outlet, and the mode has great hysteresis for actually adjusting the moisture content of the outlet, and is not beneficial to controlling the moisture content of the outlet and the temperature stability of each batch of cut stem feeding.
Disclosure of Invention
The invention provides a cut stem feeding outlet water content control method based on sliding window prediction, solves the problem that the existing cut stem feeding outlet water content has hysteresis and is prone to causing inaccuracy, can improve the consistency of the outlet water content of cut stems in each batch, and improves the quality control capability in the production process.
In order to achieve the above purpose, the invention provides the following technical scheme:
a cut stem charging outlet water content control method based on sliding window prediction comprises the following steps:
acquiring the humidifying water amount of the fed cut stem, and calculating the average outlet water content of the cut stem by taking N times of collection in a set time period as a sliding window;
determining a first sliding window prediction model of the proportion of the humidified water and the water content at the outlet according to the variation trend of the humidified water amount and the average outlet water content;
and acquiring a target value of the moisture content of the outlet of the current cut stem feeding material, and performing feedforward control on the proportion of the humidifying water required by reaching the target value through the first sliding window prediction model.
Preferably, the method further comprises the following steps:
obtaining steam pressure of cut stem feeding, and determining a second sliding window prediction model of the opening of a steam valve and the moisture content of an outlet according to the steam pressure and the change trend of the average outlet moisture content;
and when the humidification water amount is constant, performing feedforward control on the opening of the steam valve required by reaching the target value through the second sliding window prediction model.
Preferably, the method further comprises the following steps:
acquiring a measured value of the outlet moisture content of the cut stem feeding material, and acquiring a target deviation value of the outlet moisture content according to the target value and the measured value;
and establishing a PID feedback control model for adjusting the proportion of the humidifying water according to the target deviation value so as to perform feedback control on the water content of the outlet.
Preferably, the method further comprises the following steps:
establishing an EWMA feedback control model of the outlet water content, and performing exponential weighted moving average operation on the outlet water content according to the EWMA feedback control model to obtain EWMA statistic ZS；
according to the EWMA statistic ZSThe proportion of the humidifying water is fed back and controlled, so that the fluctuation of the water content at the outlet is reduced.
Preferably, the EWMA statistic ZSCalculated according to the following formula:
ZS＝λ·yS+(1-λ)ZS-1wherein Z is0＝T，λ＝2，ySThe moisture content of the outlet at the S-th moment.
Preferably, the method further comprises the following steps:
acquiring steam temperature of the cut stem feeding materials, and determining a third sliding window prediction model of the steam temperature and the outlet water content according to the steam temperature and the change trend of the average outlet water content;
and performing feed-forward control on the steam temperature required for reaching the target value through the third sliding window prediction model.
Preferably, the first sliding window prediction model for determining the proportion of the humidified water and the outlet water content according to the variation trend of the amount of the humidified water and the average outlet water content comprises:
establishing an outlet moisture content sliding window of n times of sampling including the current moment, and calculating to obtain the difference value between the outlet moisture content at each moment and the average moisture content;
if the difference values corresponding to all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a integral decreasing trend;
and acquiring the outlet time corresponding to the first time of the sliding window, and controlling the humidifying water valve to start to reduce or increase the opening degree at the outlet time when the trend is increased or decreased so as to predict the water content of the outlet.
Preferably, the second sliding window prediction model for determining the steam valve opening and the outlet water content according to the steam pressure and the change trend of the average outlet water content comprises:
establishing a steam pressure sliding window including the current moment for n times of sampling, and calculating to obtain the difference value between the outlet water content corresponding to the steam pressure at each moment and the average water content;
if the difference values corresponding to all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a integral decreasing trend;
and acquiring an outlet time corresponding to the first time of the sliding window, and controlling the steam valve to start reducing the opening degree or increasing the opening degree at the outlet time when the trend is increased or decreased so as to control the water content of the outlet.
Preferably, the third sliding window prediction model for determining the steam temperature and the outlet water content according to the change trend of the steam temperature and the average outlet water content comprises:
establishing a steam temperature sliding window for n times of sampling including the current moment, and calculating to obtain the difference value between the outlet water content corresponding to the steam temperature at each moment and the average water content;
if the difference values corresponding to all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a integral decreasing trend;
and acquiring an outlet time corresponding to the first time of the sliding window, and controlling the steam temperature to start to decrease or increase at the outlet time when the trend is increased or decreased so as to control the water content of the outlet.
The invention provides a cut stem feeding outlet water content control method based on sliding window prediction.
Drawings
In order to more clearly describe the specific embodiments of the present invention, the drawings to be used in the embodiments will be briefly described below.
Fig. 1 is a schematic diagram of a cut stem charging outlet water content control method based on sliding window prediction.
Fig. 2 is a schematic diagram of the PID feedback control of the moisture content of the cut stem charging outlet provided by the present invention.
Detailed Description
In order to make the technical field of the invention better understand the scheme of the embodiment of the invention, the embodiment of the invention is further described in detail with reference to the drawings and the implementation mode.
The problem of hysteresis exists to control to export moisture content in the current stem silk reinforced process. The invention provides a cut stem feeding outlet water content control method based on sliding window prediction.
As shown in fig. 1, a cut stem charging outlet water content control method based on sliding window prediction includes:
s1: and (3) acquiring the humidifying water quantity of the fed cut stem, and calculating the average outlet water content of the cut stem by taking N times of collection in a set time period as a sliding window.
S2: and determining a first sliding window prediction model of the proportion of the humidified water and the outlet water content according to the variation trend of the humidified water amount and the average outlet water content.
S3: and acquiring a target value of the moisture content of the outlet of the current cut stem feeding material, and performing feedforward control on the proportion of the humidifying water required by reaching the target value through the first sliding window prediction model.
Further, the first sliding window prediction model for determining the proportion of the humidified water and the water content at the outlet according to the variation trend of the amount of the humidified water and the average water content at the outlet comprises:
and establishing an outlet moisture content sliding window of n times of sampling including the current moment, and calculating to obtain the difference value between the outlet moisture content of each moment and the average moisture content.
And if the difference values corresponding to all the moments in one sliding window are greater than or less than 0, judging that the water content of the outlet has an overall increasing trend or a decreasing trend.
And acquiring the outlet time corresponding to the first time of the sliding window, and controlling the humidifying water valve to reduce or increase the opening degree at the outlet time when the trend is increased or decreased so as to predict the water content of the outlet.
In particular, in order to distinguish and identify the overall trend change of the outlet moisture content of the cut stems, a method of moving a sliding window can be adopted for monitoring. Firstly, assuming the current time as t, in order to determine the current humidification water amount, the average outlet water content can be calculated by taking the previous N times of sampling in a period of time as a sliding window
Wherein x isiIndicating the outlet moisture content at the ith time. As the production process continues, the sliding window slides forward so that the average moisture content at the next moment is
Secondly, in order to identify the trend change of the inlet water content, a sliding window comprising n times of sampling can be established again, the current time is also set as t, and the difference d between the outlet water content and the average outlet water content of the n times of sampling including the current time is respectively calculatedj＝xj-μj(ii) a j ═ t, t-1, … t-n + 1. To avoid the effects of incidental changes, the change in outlet moisture content of trending is identified and process quality control discriminant criteria may be set.
The method performs feedforward control on the proportion of the humidified water through sliding window prediction, so that the humidified water is accurately controlled in the stem shred feeding process, the consistency of the outlet moisture content of the stem shreds in batches is improved, the proportion of the humidified water can be adjusted without detecting the outlet moisture content, and the quality control capability of the production process can be improved.
As shown in fig. 1, the method further comprises:
s4: obtaining steam pressure of cut stem feeding, and determining a second sliding window prediction model of the opening of a steam valve and the moisture content of an outlet according to the steam pressure and the change trend of the average outlet moisture content;
s5: and when the humidification water amount is constant, performing feedforward control on the opening of the steam valve required by reaching the target value through the second sliding window prediction model.
Further, the second sliding window prediction model for determining the opening degree of the steam valve and the water content of the outlet according to the change trend of the steam pressure and the average water content of the outlet comprises the following steps:
establishing a steam pressure sliding window including the current moment for n times of sampling, and calculating to obtain the difference value between the outlet water content corresponding to the steam pressure at each moment and the average water content;
if the difference values corresponding to all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a integral decreasing trend;
and acquiring the outlet time corresponding to the first time of the sliding window, and controlling the steam valve to start to reduce or increase the opening degree at the outlet time when the trend is increased or decreased so as to control the water content of the outlet.
As shown in fig. 2, the method further comprises:
s6: acquiring a measured value of the outlet moisture content of the cut stem feeding material, and acquiring a target deviation value of the outlet moisture content according to the target value and the measured value;
s7: and establishing a PID feedback control model for adjusting the proportion of the humidifying water according to the target deviation value so as to perform feedback control on the water content of the outlet.
In practical application, the outlet water content is adjusted in real time through the PID feedback control model, an actual measurement value of the outlet water content is compared with a target value, then the actual measurement value is used as the input of the PID feedback control model according to a target deviation value, self-adaptive learning is carried out according to the input feed liquid injection quantity, and then parameter values of P, I and D are determined and adjusted, so that the control of the outlet water content is realized, the stability of the control of the outlet water content in batches is improved, and the consistency of control among batches is increased.
In order to effectively control the moisture content of the cut stem outlet, the cut stem outlet should be timely corrected and adjusted according to the change condition of the cut stem outlet. The existing PID feedback control system can adjust slight change of the water content of the outlet, but effective control is often difficult to achieve in time for large process fluctuation, manual intervention is often required for operators, working strength of the operators is increased, batch quality stability is reduced due to experience difference of the operators, and therefore automatic identification and adjustment of the change of the water content of the outlet can be achieved by adopting a computer. In order to improve the sensitivity of trend deviation in the identification process and avoid the interference caused by abnormal individual detection results, the EWMA can be used for the algorithm design of the control system.
The method further comprises the following steps:
s8: establishing an EWMA feedback control model of the outlet water content, and performing exponential weighted moving average operation on the outlet water content according to the EWMA feedback control model to obtain EWMA statistic ZS(ii) a In that
Or
Judging whether the water content at the outlet is in an increasing trend or a decreasing trend, wherein T is a target value of the water content at the outlet, lambda is an EWMA smoothing coefficient, sigma is a standard deviation under a stable process state, and K is a constant; according to the EWMA statistic ZSThe proportion of the humidifying water is fed back and controlled, so that the fluctuation of the water content at the outlet is reduced.
Further, the EWMA statistic ZSCalculated according to the following formula:
ZS＝λ·yS+(1-λ)ZS-1wherein Z is0＝T，λ＝2，ySThe moisture content of the outlet at the S-th moment.
The method further comprises the following steps:
s9: and acquiring the steam temperature of the cut stem feeding, and determining a third sliding window prediction model of the steam temperature and the outlet water content according to the steam temperature and the change trend of the average outlet water content.
S10: and performing feed-forward control on the steam temperature required for reaching the target value through the third sliding window prediction model.
Further, the third sliding window prediction model for determining the steam temperature and the outlet water content according to the change trend of the steam temperature and the average outlet water content comprises:
and establishing a steam temperature sliding window of n times of sampling including the current moment, and calculating to obtain the difference value between the outlet water content corresponding to the steam temperature at each moment and the average water content.
And if the difference values corresponding to all the moments in one sliding window are greater than or less than 0, judging that the water content of the outlet has an overall increasing trend or a decreasing trend.
And acquiring an outlet time corresponding to the first time of the sliding window, and controlling the steam temperature to start to decrease or increase at the outlet time when the trend is increased or decreased so as to control the water content of the outlet.
In practical application, the cut stems are fed into the roller of the feeder by the vibrating conveyor, and the roller is driven by the transmission device to rotate, so that the cut stems automatically flow towards the discharge port. When the cut stems run, the feed liquid is sprayed to the cut stems through the pipeline. Under the action of steam pressure, the material liquid and steam are mixed and sprayed in a mist shape to the cut stems. In the stem shred feeding process, the moisture content of an outlet can be influenced and controlled through the aspects of hot air temperature, circulating air quantity, feed liquid steam injection quantity and the like. In order to avoid instability of the production process caused by simultaneous action of a plurality of influence factors, a plurality of influence variables can be respectively fixed at a proper value, and only one influence factor is adjusted to control the water content of the outlet.
Therefore, the invention provides a cut stem feeding outlet water content control method based on sliding window prediction, which solves the problems that the existing cut stem feeding outlet water content has hysteresis and is easy to cause inaccuracy by setting a sliding window prediction model and performing feedforward control on the proportion of the humidifying water based on the water outlet water content, can improve the consistency of the outlet water content of each batch of cut stems, and improves the quality control capability of the production process.
The construction, features and functions of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the present invention is not limited to the embodiments shown in the drawings, and all equivalent embodiments modified or modified by the spirit and scope of the present invention should be protected without departing from the spirit of the present invention.
Claims (6)
1. A cut stem charging outlet water content control method based on sliding window prediction is characterized by comprising the following steps:
acquiring the humidifying water amount of the fed cut stem, and calculating the average outlet water content of the cut stem by taking N times of collection in a set time period as a sliding window;
determining a first sliding window prediction model of the proportion of the humidified water and the water content at the outlet according to the variation trend of the humidified water amount and the average outlet water content;
acquiring a target value of the moisture content of an outlet of the current cut stem feeding material, and performing feedforward control on the proportion of the humidifying water required by reaching the target value through the first sliding window prediction model;
the first sliding window prediction model for determining the proportion of the humidified water and the outlet water content according to the variation trend of the humidified water amount and the average outlet water content comprises the following steps:
establishing an outlet moisture content sliding window of n times of sampling including the current moment, and calculating to obtain the difference value between the outlet moisture content of each moment and the average outlet moisture content;
if the corresponding difference values of all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a whole decreasing trend;
and acquiring the outlet time corresponding to the first time of the sliding window, and controlling the humidifying water valve to start to reduce or increase the opening degree at the outlet time when the trend is increased or decreased so as to predict the water content of the outlet.
2. The cut rolled stem charging outlet water content control method based on the sliding window prediction is characterized by further comprising the following steps of:
obtaining steam pressure of cut stem feeding, and determining a second sliding window prediction model of the opening of a steam valve and the moisture content of an outlet according to the steam pressure and the change trend of the average outlet moisture content;
when the humidification water amount is constant, performing feedforward control on the opening of the steam valve required by reaching the target value through the second sliding window prediction model;
the second sliding window prediction model for determining the opening degree of the steam valve and the water content of the outlet according to the change trend of the steam pressure and the average water content of the outlet comprises the following steps:
establishing a steam pressure sliding window including the current moment for n times of sampling, and calculating to obtain the difference value between the outlet water content corresponding to the steam pressure at each moment and the average outlet water content;
if the difference values corresponding to all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a integral decreasing trend;
and acquiring an outlet time corresponding to the first time of the sliding window, and controlling the steam valve to start reducing the opening degree or increasing the opening degree at the outlet time when the trend is increased or decreased so as to control the water content of the outlet.
3. The cut rolled stem charging outlet water content control method based on the sliding window prediction is characterized by further comprising the following steps of:
acquiring a measured value of the outlet water content of the cut stem feeding material, and obtaining a target deviation value of the outlet water content according to the target value and the measured value;
and establishing a PID feedback control model for adjusting the proportion of the humidifying water according to the target deviation value so as to perform feedback control on the water content of the outlet.
4. The cut rolled stem charging outlet water content control method based on the sliding window prediction is characterized by further comprising the following steps:
establishing an EWMA feedback control model of the outlet water content, and performing exponential weighted moving average operation on the outlet water content according to the EWMA feedback control model to obtain EWMA statistic ZS；
In that
Or
Judging whether the water content at the outlet is in an increasing trend or a decreasing trend, wherein T is a target value of the water content at the outlet, lambda is an EWMA smoothing coefficient, sigma is a standard deviation under a stable process state, and k is a constant;
according to the EWMA statistic ZSAnd (4) performing feedback control on the proportion of the humidifying water to reduce the fluctuation of the water content of the outlet.
5. The cut rolled stem charging outlet water content control method based on sliding window prediction as claimed in claim 4, characterized in that the EWMA statistic ZSCalculated according to the following formula:
ZS＝λ·yS+(1-λ)ZS-1wherein Z is0＝T，λ＝2，ySThe moisture content of the outlet at the S-th moment.
6. The cut rolled stem charging outlet water content control method based on the sliding window prediction is characterized by further comprising the following steps:
acquiring steam temperature of the cut stem feeding materials, and determining a third sliding window prediction model of the steam temperature and the outlet water content according to the steam temperature and the change trend of the average outlet water content;
performing feed-forward control on the steam temperature required to reach the target value through the third sliding window prediction model;
the third sliding window prediction model for determining the steam temperature and the outlet water content according to the change trend of the steam temperature and the average outlet water content comprises the following steps:
establishing a steam temperature sliding window for n times of sampling including the current moment, and calculating to obtain the difference value between the outlet water content corresponding to the steam temperature at each moment and the average outlet water content;
if the difference values corresponding to all the moments in one sliding window are larger than or smaller than 0, judging that the water content of the outlet has an integral increasing trend or a integral decreasing trend;
and acquiring an outlet time corresponding to the first time of the sliding window, and controlling the steam temperature to start to decrease or increase at the outlet time when the trend is increased or decreased so as to control the water content of the outlet.
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Effective date of registration: 20230206 Address after: No.16 Yulin South Road, Zhengdong New District, Zhengzhou City, Henan Province Patentee after: CHINA TOBACCO HENAN INDUSTRIAL Co.,Ltd. Address before: No.16 Yulin South Road, Zhengdong New District, Zhengzhou City, Henan Province Patentee before: CHINA TOBACCO HENAN INDUSTRIAL Co.,Ltd. Patentee before: HENAN CENTER LINE ELECTRONIC TECHNOLOGY Co.,Ltd. |
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