CN105341985A - Moisture content control method and system of inlet cut tobaccos of cut-tobacco drier - Google Patents
Moisture content control method and system of inlet cut tobaccos of cut-tobacco drier Download PDFInfo
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- CN105341985A CN105341985A CN201510906414.5A CN201510906414A CN105341985A CN 105341985 A CN105341985 A CN 105341985A CN 201510906414 A CN201510906414 A CN 201510906414A CN 105341985 A CN105341985 A CN 105341985A
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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
- A24B3/04—Humidifying or drying tobacco bunches or cut tobacco
Abstract
The invention discloses a moisture content control method and a moisture content control system of inlet cut tobaccos of a cut-tobacco drier and relates to the technical field of cigarette cutting. The method comprises the following steps: according to set inlet moisture content of the cut-tobacco drier and a first environment parameter set, obtaining a first predication value of loosening and re-moisturizing outlet moisture content; according to a water adding ratio value, and temperature and humidity of a loosening and re-moisturizing phase, obtaining a second predication value of the loosening and re-moisturizing outlet moisture content; judging whether the difference between the first predication value and the second predication value is in a first pre-set range or not; if not, changing the water adding ratio value; and if so, carrying out loosening and re-moisturizing treatment according to the current water adding ratio value. According to the moisture content control method and system, by accurately adjusting the water adding ratio in the loosening and re-moisturizing phase, the moisture content of the inlet cut tobaccos of the cut-tobacco drier is stabilized nearby a process set value, and the effect of stabilizing the moisture content after cut tobacco drying is realized.
Description
Technical field
The present invention relates to cigarette primary processing technology field, particularly relate to a kind of cut-tobacco drier entrance moisture content of cut tobacco control method and system.
Background technology
In fiber tow production technique, drying silk entrance moisture content of cut tobacco is the key factor that silk effect is dried in impact.When drying supplied materials moisture content before silk and having larger fluctuation, easily cause drying rear moisture content of cut tobacco stability and decline.Therefore stable supplied materials moisture content is conducive to cut tobacco drying parameter and regulates, and can ensure the stability of moisture content after drying, thus improves quality of tobacco shreds.
At present, the domestic scrap prodn. line loosening and gaining moisture stage, to drying silk stage main flow as shown in Figure 1, is roughly divided into loosening and gaining moisture stage 101, premix cabinet stage 102, Ordering and casing stage 103, leaf storing cabinet stage 104 and chopping stage 105, and dries the silk stage 106.Wherein, the control to cut-tobacco drier entering water rate is realized mainly through the adjustment loosening steam conditioner ratio that adds water.And in prior art, the add water setting of ratio of loosening steam conditioner is determined according to personal experience primarily of correlation technique person, the computational methods relied on are direct proportion model, namely cut-tobacco drier entrance moisture content of cut tobacco variable quantity is that loosening steam conditioner adds water the fixing multiple of ratio variable quantity, does not consider other factors.The method is too simple, easily because of condition changes such as ambient temperature and humidities, causes actual cut-tobacco drier entrance moisture content of cut tobacco to occur relatively large deviation, and the stability of silk outlet moisture content of cut tobacco is dried in final impact.
Summary of the invention
The present inventor has found to have problems in above-mentioned prior art, and therefore proposes a kind of new technical scheme at least one problem in the problems referred to above.
According to an aspect of the present invention, disclose a kind of cut-tobacco drier entrance moisture content of cut tobacco control method, comprising:
The first predicted value of loosening and gaining moisture outlet moisture content is obtained according to the cut-tobacco drier entering water rate set and first environment parameter sets;
The second predicted value of loosening and gaining moisture outlet moisture content is obtained according to the temperature in add water ratio value and loosening and gaining moisture stage, humidity;
Judge that the difference of the first predicted value and the second predicted value is whether in the first preset range;
If difference is not in the first preset range, then change adds water ratio value, then performs the step of difference whether in the first preset range judging the first predicted value and the second predicted value;
If difference is in the first preset range, then carry out loosening and gaining moisture process according to the current ratio value that adds water.
In one embodiment, the step obtaining the first predicted value of loosening and gaining moisture outlet moisture content comprises:
According to cut-tobacco drier entering water rate and the first environment parameter sets of setting, adopt the first predetermined multivariate regression models, obtain Ordering and casing machine outlet hydrated comples ion value, first environment parameter sets comprise dry the silk stage environment temperature, humidity and the environment temperature in leaf storing cabinet stage, humidity;
According to Ordering and casing machine outlet hydrated comples ion value and second environment parameter sets, adopt the second predetermined multivariate regression models, obtain Ordering and casing machine entering water rate predicted value, second environment parameter sets comprises temperature, the humidity in Ordering and casing stage;
According to Ordering and casing machine entering water rate predicted value and the 3rd ambient parameter set, adopt the 3rd predetermined multivariate regression models, obtain the first predicted value of loosening and gaining moisture outlet moisture content, the 3rd environment set comprises the environment temperature in premix cabinet stage, humidity and the environment temperature in loosening and gaining moisture stage, humidity.
In one embodiment, the step obtaining the second predicted value of loosening and gaining moisture outlet moisture content comprises:
According to temperature, the humidity in add water ratio value and loosening and gaining moisture stage, adopt predetermined neural network model, obtain the second predicted value of loosening and gaining moisture outlet moisture content.
In one embodiment, whether the coefficient in the first multivariate regression models and cut tobacco stay cabinet to be associated in leaf storing cabinet.
In one embodiment, whether the coefficient in the 3rd multivariate regression models and cut tobacco stay cabinet to be associated in premix cabinet.
In one embodiment, also comprise: judge, when the difference that Ordering and casing machine exports hydrated comples ion value and real-time detected value is more than the second preset range, to carry out alarm.
In one embodiment, also comprise: judge, when the difference of Ordering and casing machine entering water rate predicted value and real-time detected value is more than the 3rd preset range, to carry out alarm.
In one embodiment, also comprise: judge, when loosening and gaining moisture outlet the first predicted value of moisture content and the difference of real-time detected value are more than the 4th preset range, to carry out alarm.
According to a further aspect in the invention, provide a kind of cut-tobacco drier entrance moisture content of cut tobacco control system, it is characterized in that, comprising:
First predicting unit, for obtaining the first predicted value of loosening and gaining moisture outlet moisture content according to the cut-tobacco drier entering water rate set and first environment parameter sets;
Second predicting unit, obtains for the temperature according to add water ratio value and loosening and gaining moisture stage, humidity the second predicted value that loosening and gaining moisture exports moisture content;
Control unit, for judging that the difference of the first predicted value and the second predicted value is whether in the first preset range; If difference is not in the first preset range, then change the ratio value that adds water.
In one embodiment, the first predicting unit comprises:
Ordering and casing machine Export Forecast module, for according to setting cut-tobacco drier entering water rate and first environment parameter sets, adopt the first predetermined multivariate regression models, obtain Ordering and casing machine outlet hydrated comples ion value, first environment parameter sets comprise dry the silk stage environment temperature, humidity and the environment temperature in leaf storing cabinet stage, humidity;
Ordering and casing machine entrance prediction module, for exporting hydrated comples ion value and second environment parameter sets according to Ordering and casing machine, adopt the second predetermined multivariate regression models, obtain Ordering and casing machine entering water rate predicted value, second environment parameter sets comprises temperature, the humidity in Ordering and casing stage;
Loosening and gaining moisture Export Forecast module, for according to Ordering and casing machine entering water rate predicted value and the 3rd ambient parameter set, adopt the 3rd predetermined multivariate regression models, obtain the first predicted value of loosening and gaining moisture outlet moisture content, the 3rd environment set comprises the environment temperature in premix cabinet stage, humidity and the environment temperature in loosening and gaining moisture stage, humidity.
In one embodiment, the second predicting unit, specifically for temperature, humidity according to add water ratio value and loosening and gaining moisture stage, adopts predetermined neural network model, obtains the second predicted value of loosening and gaining moisture outlet moisture content.
In one embodiment, whether the coefficient in the first multivariate regression models and cut tobacco stay cabinet to be associated in leaf storing cabinet.
In one embodiment, whether the coefficient in the 3rd multivariate regression models and cut tobacco stay cabinet to be associated in premix cabinet.
In one embodiment, also comprise:
Alarm Unit, when Ordering and casing machine outlet hydrated comples ion value and the difference of real-time detected value are more than the second preset range, carries out alarm for judging.
In one embodiment, Alarm Unit, also when the difference of Ordering and casing machine entering water rate predicted value and real-time detected value is more than the 3rd preset range, carries out alarm for judging.
In one embodiment, Alarm Unit, also when loosening and gaining moisture outlet the first predicted value of moisture content and the difference of real-time detected value are more than the 4th preset range, carries out alarm for judging.
Cut-tobacco drier entrance moisture content of cut tobacco control method of the present invention and system, by accurately adjusting the ratio that adds water in loosening and gaining moisture stage, cut-tobacco drier entrance moisture content of cut tobacco is made to be stabilized near process set value, reduce loosening and gaining moisture to the moisture content of cut tobacco fluctuation deviation in cut-tobacco drier entrance process simultaneously, reach stable effect of drying moisture content after silk.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing of embodiment or required use in describing below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is that the scrap prodn. line loosening and gaining moisture stage is to the schematic flow sheet drying the silk stage.
Fig. 2 is the schematic diagram of an embodiment of cut-tobacco drier entrance moisture content of cut tobacco control method of the present invention.
Fig. 3 is the schematic diagram of another embodiment of cut-tobacco drier entrance moisture content of cut tobacco control method of the present invention.
Fig. 4 is the schematic diagram of an embodiment of cut-tobacco drier entrance moisture content of cut tobacco control system of the present invention.
Fig. 5 is the schematic diagram of an embodiment of the first predicting unit of cut-tobacco drier entrance moisture content of cut tobacco control system of the present invention.
Fig. 6 is the schematic diagram of another embodiment of cut-tobacco drier entrance moisture content of cut tobacco control system of the present invention.
Fig. 7 is that the present invention adopts Neural Network model predictive loosening and gaining moisture to export the prediction effect figure of an embodiment of moisture content.
Fig. 8 is the prediction effect figure of the first multivariate regression models embodiment in the present invention.
Fig. 9 is the prediction effect figure of first another embodiment of multivariate regression models in the present invention.
Figure 10 is the prediction effect figure of the second multivariate regression models embodiment in the present invention.
Figure 11 is the prediction effect figure of a 3rd multivariate regression models embodiment in the present invention.
Figure 12 is the prediction effect figure of the 3rd another embodiment of multivariate regression models in the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 2 is the schematic diagram of an embodiment of cut-tobacco drier entrance moisture content of cut tobacco control method of the present invention.Preferably, the method for the present embodiment is performed by control system of the present invention.As shown in Figure 2, the method step of the present embodiment is as follows:
Step 201, obtains the first predicted value of loosening and gaining moisture outlet moisture content according to the cut-tobacco drier entering water rate set and first environment parameter sets.
In one embodiment, select multivariate regression models to predict loosening and gaining moisture outlet moisture content, reach the first predicted value of loosening and gaining moisture outlet moisture content.
Step 202, obtains the second predicted value of loosening and gaining moisture outlet moisture content according to the temperature in add water ratio value and loosening and gaining moisture stage, humidity.
Due to scrap prodn. line from the loosening and gaining moisture stage to baking the silk stage, only have loosening and gaining moisture porch can by the adjustment moisture content of cut tobacco that adds water, stage afterwards cannot adjust moisture content of cut tobacco by adding water, in order to improve the degree of accuracy of the ratio of adding water, to obtain the cut-tobacco drier entering water rate set.Inventor detects through lot of experiments, find that being exported to the moisture content of cut tobacco in cut-tobacco drier entrance each stage at loosening and gaining moisture can carry out matching with multiple linear regression, and owing to adding water at loosening and gaining moisture entrance, make loosening and gaining moisture stage model very complicated, linear regression cannot meet need of production, therefore adopts neural network model to predict.
In one embodiment, utilize predetermined neural network model, loosening and gaining moisture outlet moisture content is predicted, obtains the second predicted value of loosening and gaining moisture outlet moisture content.Such as, two implicit neural network nonlinear model can be selected.Such as, add water ratio, the temperature and humidity in loosening and gaining moisture stage as input using loosening steam conditioner, loosening and gaining moisture outlet moisture content is for exporting, set up each hidden layer and have 8 neuronic pair of hidden layer neutral nets, and set training objective 0.05, training speed 0.01, maximum train epochs 100, carries out neural metwork training.Gained neutral net to loosening and gaining moisture outlet moisture content prediction effect see Fig. 7.As shown in Figure 7, the error information of the loosening steam conditioner outlet tobacco leaf hydrated comples ion of this Neural Network model predictive of known employing 120 samples calculates known, and predicated error is 0.149%.All errors that predicts the outcome all control within 0.5%, and Accurate Prediction ratio is 89.171%, can meet the tolerance requirements that loosening and gaining moisture operation outlet moisture content is ± 0.5% (setting value).
Step 203, judges that the difference of the first predicted value and the second predicted value is whether in the first preset range, if not in the first preset range, then enter step 204; If in the first preset range, then enter step 205.
Step 204, changes the ratio value that adds water, and then performs step 203, until the difference of the first predicted value and the second predicted value is in the first preset range.
Step 205, carries out loosening and gaining moisture process according to the current ratio value that adds water.
Cut-tobacco drier entrance moisture content of cut tobacco control method of the present invention, by accurately adjusting the ratio that adds water in loosening and gaining moisture stage, cut-tobacco drier entrance moisture content of cut tobacco is made to be stabilized near process set value, reduce loosening and gaining moisture to the moisture content of cut tobacco fluctuation deviation in cut-tobacco drier entrance process simultaneously, reach stable effect of drying moisture content after silk.
Fig. 3 is the schematic diagram obtaining an embodiment of the first predicted value in cut-tobacco drier entrance moisture content of cut tobacco control method of the present invention.Preferably, the method for the present embodiment is performed by control system of the present invention.Inventor detects through lot of experiments, for determining the key influence factor of cut-tobacco drier entering water rate, adopt pearson (Poisson) correlation test method to not staying cabinet, premix cabinet stays cabinet and leaf storing cabinet to stay cabinet 3 kinds of different situations, carry out correlation analysis respectively.Find that being exported to the moisture content of cut tobacco in cut-tobacco drier entrance each stage at loosening and gaining moisture can carry out matching with multiple linear regression through correlation test.Wherein, in scrap prodn. line actual production process, comprise premix cabinet and leaf storing cabinet does not all stay cabinet, premix cabinet stays cabinet leaf storing cabinet not stay cabinet and premix cabinet not to stay cabinet leaf storing cabinet to stay cabinet three kinds of situations, such as, can divide as follows:
Do not stay cabinet: premix cabinet stage duration <240min, and leaf storing cabinet duration <480min;
Premix cabinet stays cabinet: premix cabinet stage duration >=240min, and leaf storing cabinet duration <480min;
Leaf storing cabinet stays cabinet: premix cabinet duration <240min, and leaf storing cabinet duration >=480min.Corresponding each influence factor correlation test result is as shown in table 1:
Table 1
Wherein, * * is pole significant correlation, and * is significant correlation ， – is uncorrelated.
Multiple linear regression model can be set up respectively to each stage targetedly thus, carry out analyses and prediction.For simplicity, note cut-tobacco drier entering water rate is y, and the ratio of adding water in loosening and gaining moisture stage is x
1, loosening and gaining moisture outlet moisture content is x
2, the environment temperature in loosening and gaining moisture stage is x
3, humidity is x
4, the premix cabinet stage stays cabinet duration to be x
5, the environment temperature in premix cabinet stage is x
6, humidity is x
7, Ordering and casing machine entering water rate is x
8, Ordering and casing machine outlet moisture content is x
9, the environment temperature in Ordering and casing stage is x
10, humidity is x
11, the leaf storing cabinet stage stays cabinet duration to be x
12, the environment temperature in leaf storing cabinet stage is x
13, humidity is x
14, the environment temperature of drying the silk stage is x
15, humidity is x
16.The method step of the present embodiment is as follows:
Step 301, according to cut-tobacco drier entering water rate and the first environment parameter sets of setting, adopt the first predetermined multivariate regression models, obtain Ordering and casing machine outlet hydrated comples ion value, first environment parameter sets comprise dry the silk stage environment temperature, humidity and the environment temperature in leaf storing cabinet stage, humidity.
In one embodiment, whether the coefficient in the first multivariate regression models and cut tobacco stay cabinet to be associated in leaf storing cabinet.Such as, when leaf storing cabinet does not stay cabinet, select following first multivariate regression models (1):
y＝0.7866x
9+0.1056x
13+0.0784x
14+0.0066x
15+0.0285x
16-0.0485(1)
As shown in Figure 8, predicated error average is 0.085% to the prediction effect obtained, and Accurate Prediction ratio reaches 100%, can meet the tolerance requirements that cut-tobacco drier entering water rate is ± 0.5% (setting value).
When leaf storing cabinet stays cabinet, select following first multivariate regression models (2):
y＝0.8276x
9-0.1688x
13+0.0019x
14+0.0264x
15+0.036x
16+0.1589(2)
As shown in Figure 9, predicated error average is 0.043% to the prediction effect obtained, and Accurate Prediction ratio reaches 100%, can meet the tolerance requirements that cut-tobacco drier entering water rate is ± 0.5% (setting value).
Step 302, according to Ordering and casing machine outlet hydrated comples ion value and second environment parameter sets, adopt the second predetermined multivariate regression models, obtain Ordering and casing machine entering water rate predicted value, second environment parameter sets comprises temperature, the humidity in Ordering and casing stage.
In one embodiment, following second multivariate regression models (3) is selected:
x
9＝0.6032x
8-0.0777x
10-0.0023x
11+0.3697(3)
As shown in Figure 10, calculated can be obtained by the data in Figure 10, predicated error average is 0.120% to the prediction effect obtained, and Accurate Prediction ratio reaches 96.578%, can meet the tolerance requirements that cut-tobacco drier entering water rate is ± 0.5% (setting value).
Step 303, according to Ordering and casing machine entering water rate predicted value and the 3rd ambient parameter set, adopt the 3rd predetermined multivariate regression models, obtain the first predicted value of loosening and gaining moisture outlet moisture content, the 3rd environment set comprises the environment temperature in premix cabinet stage, humidity and the environment temperature in loosening and gaining moisture stage, humidity.
In one embodiment, whether the coefficient in the 3rd multivariate regression models and cut tobacco stay cabinet to be associated in premix cabinet.Such as, when premix cabinet does not stay cabinet, select following 3rd multivariate regression models (4):
x
8＝0.6901x
2+0.0024x
3+0.0073x
4-0.0201x
6+0.0165x
7+0.1621(4)
As shown in figure 11, predicated error average is 0.115% to the prediction effect obtained, and Accurate Prediction ratio reaches 95.292%, can meet the tolerance requirements that Ordering and casing machine entering water rate is ± 0.5% (setting value).
When premix cabinet stays cabinet, select following 3rd multivariate regression models (5):
x
8＝0.4881x
2+0.0425x
3+0.0214x
4+0.0153x
6-0.02x
7+0.2369(5)
As shown in figure 12, predicated error average is 0.112% to the prediction effect obtained, and can meet the tolerance requirements that Ordering and casing machine entering water rate is ± 0.5% (setting value).
In one embodiment, method of the present invention can also comprise the step of alarm, in scrap prodn. line actual production, the each predicted value obtained and real-time detected value are compared, judge when the difference that Ordering and casing machine exports hydrated comples ion value and real-time detected value is more than the second preset range, or judge when the difference of Ordering and casing machine entering water rate predicted value and real-time detected value is more than the 3rd preset range, or judge, when loosening and gaining moisture outlet the first predicted value of moisture content and the difference of real-time detected value are more than the 4th preset range, to carry out alarm.This wherein, second, third and the 4th preset range set according to the working condition of reality, can be identical, also can be different.
According to result shown in Fig. 7 to Figure 12, can obtain, the present invention is effective to each stage forecast of scrap prodn. line, by the ratio that adds water according to the accurate adjustment loosening and gaining moisture stage that predicts the outcome, cut-tobacco drier entrance moisture content of cut tobacco is made to be stabilized near process set value, reducing loosening and gaining moisture to the moisture content of cut tobacco fluctuation deviation in cut-tobacco drier entrance process simultaneously, carrying out alarm when there is deviation, reach stable effect of drying moisture content after silk.
Fig. 4 is the schematic diagram of an embodiment of cut-tobacco drier entrance moisture content of cut tobacco control system of the present invention, and wherein each unit has been described in detail in method step embodiment, repeats no more here.Control system of the present invention comprises:
First predicting unit 401 is for obtaining the first predicted value of loosening and gaining moisture outlet moisture content according to the cut-tobacco drier entering water rate set and first environment parameter sets.
Second predicting unit 402 obtains for the temperature according to add water ratio value and loosening and gaining moisture stage, humidity the second predicted value that loosening and gaining moisture exports moisture content.
In one embodiment, the second predicting unit 402, specifically for temperature, humidity according to add water ratio value and loosening and gaining moisture stage, adopts predetermined neural network model, obtains the second predicted value of loosening and gaining moisture outlet moisture content.
Control unit 403 is for judging that the difference of the first predicted value and the second predicted value is whether in the first preset range; If difference is not in the first preset range, then change the ratio value that adds water.
Cut-tobacco drier entrance moisture content of cut tobacco control system of the present invention, by accurately adjusting the ratio that adds water in loosening and gaining moisture stage, cut-tobacco drier entrance moisture content of cut tobacco is made to be stabilized near process set value, reduce loosening and gaining moisture to the moisture content of cut tobacco fluctuation deviation in cut-tobacco drier entrance process simultaneously, reach stable effect of drying moisture content after silk.
In one embodiment, as shown in Figure 5, the first predicting unit 401 of the present invention comprises:
Ordering and casing machine Export Forecast module 4011 for according to setting cut-tobacco drier entering water rate and first environment parameter sets, adopt the first predetermined multivariate regression models, obtain Ordering and casing machine outlet hydrated comples ion value, first environment parameter sets comprise dry the silk stage environment temperature, humidity and the environment temperature in leaf storing cabinet stage, humidity.
Ordering and casing machine entrance prediction module 4012 is for exporting hydrated comples ion value and second environment parameter sets according to Ordering and casing machine, adopt the second predetermined multivariate regression models, obtain Ordering and casing machine entering water rate predicted value, second environment parameter sets comprises temperature, the humidity in Ordering and casing stage.
Loosening and gaining moisture Export Forecast module 4013 is for according to Ordering and casing machine entering water rate predicted value and the 3rd ambient parameter set, adopt the 3rd predetermined multivariate regression models, obtain the first predicted value of loosening and gaining moisture outlet moisture content, the 3rd environment set comprises the environment temperature in premix cabinet stage, humidity and the environment temperature in loosening and gaining moisture stage, humidity.
In one embodiment, whether the coefficient in the first multivariate regression models and cut tobacco stay cabinet to be associated in leaf storing cabinet.
In one embodiment, whether the coefficient in the 3rd multivariate regression models and cut tobacco stay cabinet to be associated in premix cabinet.
Fig. 6 is the schematic diagram of another embodiment of cut-tobacco drier entrance moisture content of cut tobacco control system of the present invention, comprise the first predicting unit 501, second predicting unit 502, control unit 503, also comprise Alarm Unit 504, wherein the first predicting unit 501, second predicting unit 502, control unit 503 are identical with control unit 403 or similar with the first predicting unit 401, second predicting unit 402 in Fig. 4 embodiment, Alarm Unit 504 when Ordering and casing machine outlet hydrated comples ion value and the difference of real-time detected value are more than the second preset range, carries out alarm for judging.
In one embodiment, Alarm Unit 504 also when the difference of Ordering and casing machine entering water rate predicted value and real-time detected value is more than the 3rd preset range, carries out alarm for judging.
In one embodiment, Alarm Unit 504 also when loosening and gaining moisture outlet the first predicted value of moisture content and the difference of real-time detected value are more than the 4th preset range, carries out alarm for judging.
The present invention is effective to each stage forecast of scrap prodn. line, by the ratio that adds water according to the accurate adjustment loosening and gaining moisture stage that predicts the outcome, cut-tobacco drier entrance moisture content of cut tobacco is made to be stabilized near process set value, reduce loosening and gaining moisture to the moisture content of cut tobacco fluctuation deviation in cut-tobacco drier entrance process simultaneously, carrying out alarm when there is deviation, reaching stable effect of drying moisture content after silk.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only storage, disk or CD etc.
Description of the invention provides in order to example with for the purpose of describing, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is in order to principle of the present invention and practical application are better described, and enables those of ordinary skill in the art understand the present invention thus design the various embodiments with various amendment being suitable for special-purpose.
Claims (16)
1. a cut-tobacco drier entrance moisture content of cut tobacco control method, is characterized in that, comprising:
The first predicted value of loosening and gaining moisture outlet moisture content is obtained according to the cut-tobacco drier entering water rate set and first environment parameter sets;
The second predicted value of loosening and gaining moisture outlet moisture content is obtained according to the temperature in add water ratio value and loosening and gaining moisture stage, humidity;
Judge that the difference of described first predicted value and described second predicted value is whether in the first preset range;
If described difference is not in the first preset range, then to add water ratio value described in change, then perform the step of difference whether in the first preset range judging described first predicted value and described second predicted value;
If described difference is in the first preset range, then carry out loosening and gaining moisture process according to the current ratio value that adds water.
2. method according to claim 1, is characterized in that, the step obtaining the first predicted value of loosening and gaining moisture outlet moisture content comprises:
According to cut-tobacco drier entering water rate and the first environment parameter sets of setting, adopt the first predetermined multivariate regression models, obtain Ordering and casing machine outlet hydrated comples ion value, described first environment parameter sets comprise dry the silk stage environment temperature, humidity and the environment temperature in leaf storing cabinet stage, humidity;
According to described Ordering and casing machine outlet hydrated comples ion value and second environment parameter sets, adopt the second predetermined multivariate regression models, obtain Ordering and casing machine entering water rate predicted value, described second environment parameter sets comprises temperature, the humidity in Ordering and casing stage;
According to described Ordering and casing machine entering water rate predicted value and the 3rd ambient parameter set, adopt the 3rd predetermined multivariate regression models, obtain the first predicted value of loosening and gaining moisture outlet moisture content, described 3rd environment set comprises the environment temperature in premix cabinet stage, humidity and the environment temperature in loosening and gaining moisture stage, humidity.
3. method according to claim 1, is characterized in that, the step obtaining the second predicted value of loosening and gaining moisture outlet moisture content comprises:
According to temperature, the humidity in add water ratio value and loosening and gaining moisture stage, adopt predetermined neural network model, obtain the second predicted value of loosening and gaining moisture outlet moisture content.
4. method according to claim 2, is characterized in that, whether the coefficient in described first multivariate regression models and cut tobacco stay cabinet to be associated in described leaf storing cabinet.
5. method according to claim 2, is characterized in that, whether the coefficient in described 3rd multivariate regression models stays cabinet to be associated with cut tobacco in described premix cabinet.
6. method according to claim 2, is characterized in that, also comprises:
Judge, when the difference that described Ordering and casing machine exports hydrated comples ion value and real-time detected value is more than the second preset range, to carry out alarm.
7. method according to claim 6, is characterized in that, also comprises:
Judge, when the difference of described Ordering and casing machine entering water rate predicted value and real-time detected value is more than the 3rd preset range, to carry out alarm.
8. method according to claim 7, is characterized in that, also comprises:
Judge, when described loosening and gaining moisture outlet the first predicted value of moisture content and the difference of real-time detected value are more than the 4th preset range, to carry out alarm.
9. a cut-tobacco drier entrance moisture content of cut tobacco control system, is characterized in that, comprising:
First predicting unit, for obtaining the first predicted value of loosening and gaining moisture outlet moisture content according to the cut-tobacco drier entering water rate set and first environment parameter sets;
Second predicting unit, obtains for the temperature according to add water ratio value and loosening and gaining moisture stage, humidity the second predicted value that loosening and gaining moisture exports moisture content;
Control unit, for judging that the difference of described first predicted value and described second predicted value is whether in the first preset range; If described difference is not in the first preset range, then add water described in change ratio value.
10. system according to claim 9, is characterized in that, described first predicting unit comprises:
Ordering and casing machine Export Forecast module, for according to setting cut-tobacco drier entering water rate and first environment parameter sets, adopt the first predetermined multivariate regression models, obtain Ordering and casing machine outlet hydrated comples ion value, described first environment parameter sets comprise dry the silk stage environment temperature, humidity and the environment temperature in leaf storing cabinet stage, humidity;
Ordering and casing machine entrance prediction module, for exporting hydrated comples ion value and second environment parameter sets according to described Ordering and casing machine, adopt the second predetermined multivariate regression models, obtain Ordering and casing machine entering water rate predicted value, described second environment parameter sets comprises temperature, the humidity in Ordering and casing stage;
Loosening and gaining moisture Export Forecast module, for according to described Ordering and casing machine entering water rate predicted value and the 3rd ambient parameter set, adopt the 3rd predetermined multivariate regression models, obtain the first predicted value of loosening and gaining moisture outlet moisture content, described 3rd environment set comprises the environment temperature in premix cabinet stage, humidity and the environment temperature in loosening and gaining moisture stage, humidity.
11. systems according to claim 9, it is characterized in that, described second predicting unit, specifically for temperature, humidity according to add water ratio value and loosening and gaining moisture stage, adopt predetermined neural network model, obtain the second predicted value of loosening and gaining moisture outlet moisture content.
12. systems according to claim 10, is characterized in that, whether the coefficient in described first multivariate regression models and cut tobacco stay cabinet to be associated in described leaf storing cabinet.
13. systems according to claim 10, is characterized in that, whether the coefficient in described 3rd multivariate regression models stays cabinet to be associated with cut tobacco in described premix cabinet.
14. systems according to claim 10, is characterized in that, also comprise:
Alarm Unit, when the difference of described Ordering and casing machine outlet hydrated comples ion value and real-time detected value is more than the second preset range, carries out alarm for judging.
15. systems according to claim 14, is characterized in that, described Alarm Unit, also when the difference of described Ordering and casing machine entering water rate predicted value and real-time detected value is more than the 3rd preset range, carry out alarm for judging.
16. systems according to claim 15, is characterized in that, described Alarm Unit, also when described loosening and gaining moisture outlet the first predicted value of moisture content and the difference of real-time detected value are more than the 4th preset range, carry out alarm for judging.
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