CN117678796A - Accurate control method for outlet moisture and temperature of damping machine - Google Patents
Accurate control method for outlet moisture and temperature of damping machine Download PDFInfo
- Publication number
- CN117678796A CN117678796A CN202410028425.7A CN202410028425A CN117678796A CN 117678796 A CN117678796 A CN 117678796A CN 202410028425 A CN202410028425 A CN 202410028425A CN 117678796 A CN117678796 A CN 117678796A
- Authority
- CN
- China
- Prior art keywords
- moisture
- cylinder
- hot air
- loosening
- outlet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000013016 damping Methods 0.000 title claims abstract description 15
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 42
- 241000208125 Nicotiana Species 0.000 claims abstract description 25
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims abstract description 25
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 230000003750 conditioning effect Effects 0.000 claims description 44
- 238000004590 computer program Methods 0.000 claims description 5
- 238000002474 experimental method Methods 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 2
- 239000000779 smoke Substances 0.000 abstract description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000001105 regulatory effect Effects 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
Landscapes
- Manufacture Of Tobacco Products (AREA)
Abstract
The invention discloses a precise control method for outlet moisture and temperature of a damping machine, which comprises the following steps: 1. establishing a functional relation between the hot air moisture content Wg in the cylinder and tobacco flow, outlet moisture and environmental temperature and humidity data; 2. calculating the air quantity in the pipeline and the moisture regaining cylinder to obtain the functional relation between the water content of the hot air in the moisture regaining cylinder and the water adding quantity and the steam applying quantity; 3. the control stability of two indexes, namely temperature and moisture, is ensured by coordinately controlling the water adding amount and the steam applying amount. The invention solves the problems of mutual restriction, mutual influence and the like between two sets of PID control systems of temperature and moisture, and effectively solves the problem of water smoke caused by system overshoot.
Description
Technical Field
The invention relates to the fields of artificial intelligence, intelligent sensors and industrial communication, in particular to a precise control method for outlet moisture and temperature of a damping machine.
Background
In the tobacco industry, a loosening and conditioning process is the first process of tobacco processing, mainly by applying steam and water to tobacco leaves in a roller, the tobacco leaves are loosened and humidified in the roller, and CPK of the temperature and the moisture of the tobacco leaves at the outlet of a loosening and conditioning machine is an important control index and is the basis of the subsequent tobacco leaf processing process. The existing control method is that when production is started, the water adding amount and the steam applying amount are increased from 0 to a set value at a constant speed until the temperature and the moisture are detected by a temperature meter and a moisture meter at the outlet of the loosening and conditioning machine, the system is switched from feedforward control to feedback control, and the output water adding amount of the loosening and conditioning machine is controlled by comparing the actual value and the set value of the outlet temperature and PID; and outputting the steam application amount of the loosening and conditioning machine through PID control by comparing the actual value and the set value of the outlet moisture. Thus, there are two sets of PID control systems within the loose conditioning machine: the outlet temperature PID control system and the outlet moisture PID control system are mutually influenced, for example, the steam application quantity for controlling the outlet temperature influences the outlet temperature and the outlet moisture; controlling the amount of water added to the outlet moisture affects not only the outlet moisture but also the outlet temperature. Only one index control can be ensured in the actual production process, and the other index is considered. In addition, in the production process, along with the change of environment temperature and humidity, steam pressure and water content, parameters of a PID control system are not in accordance with the requirements, an overshoot phenomenon occurs, and water stain smoke is easy to cause.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a precise control method for the outlet moisture and the temperature of a damping machine, so that the precise control of the outlet moisture and the outlet temperature of the loosening damping machine can be simultaneously satisfied, and no water-soaked smoke can be generated, thereby improving the production quality of the loosening damping machine.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
the invention relates to a precise control method for outlet moisture and temperature of a damping machine, which is characterized by comprising the following steps:
step 1, acquiring tobacco flow, outlet moisture, environmental temperature and humidity data and hot air moisture content data of a loosening and conditioning cylinder of each batch of tobacco leaves of a conditioning machine in a stable state, and establishing a functional relation between the moisture content Wg of hot air in the loosening and conditioning cylinder and the tobacco leaf flow, the outlet moisture and the environmental temperature and humidity data;
step 2, obtaining the maximum value of hot air water content in the loosening and conditioning cylinder through experiments, and marking the maximum value as MaxWg; and setting the maximum value MaxWg as a threshold value of the alarm;
step 3, calculating the density rho of hot air in the loosening and conditioning cylinder by using the formula (1):
ρ＝K 1 ÷(273+T) (1)
in the formula (1), T is the air temperature of the moisture-removing hot air in the loosening and conditioning cylinder, K 1 Is a constant;
step 4, calculating the wind speed V of hot air in the loosening and conditioning cylinder by using the formula (2):
V＝K 2 ×sqrt(2×P÷ρ) (2)
in the formula (2), P is the negative pressure of the moisture-removing hot air, sqrt is the square root number operation, K 2 Is a constant;
step 5, calculating the air quantity Q of hot air in the loosening and conditioning cylinder by using the formula (3):
Q＝K 3 ×V×π×r 2 (3)
in the formula (3), r is the radius of the moisture removal pipeline, K 3 Is a constant;
step 6, according to the actual temperature value at the outlet of the damping machine and the set temperature value, adjusting the opening degree of the steam film valve by utilizing a PID control model to enable the actual temperature value at the outlet of the damping machine to reach the set temperature value, and measuring the steam application quantity FL through a vortex shedding flowmeter behind the steam film valve 2 ；
Step 7, calculating the moisture FL absorbed by the tobacco leaves in the loosening and conditioning cylinder in unit time according to the actual moisture of the tobacco leaves at the inlet and the moisture set value at the outlet 3 ；
Step 8, calculating the water quantity FL applied to the loose and rewet cylinder in unit time by utilizing the method (4) according to the fact that the water content Wg of hot air in the loose and rewet cylinder is equal to the water discharged by the loose and rewet cylinder in a moisture discharging manner 1 ：
FL 1 ＝Q×Wg+FL 3 -FL 2 (4)
In the formula (4), FL 2 Representing the amount of steam applied to the loose conditioning drum per unit time;
step 9, calculating the maximum water quantity FL applied to the loose and rewet cylinder in unit time by using the method (5) max ：
FL max ＝MaxWg×Q+FL 3 -FL 2 (5)
Step 10, flow rate FL 1 The frequency of the water pump is adjusted as a set value so that the amount of water applied is equal to FL 1 And not exceed FL max 。
The electronic device of the present invention includes a memory for storing a program for supporting the processor to execute the precise control method, and a processor configured to execute the program stored in the memory.
The invention relates to a computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the precise control method.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, a time sequence prediction model of TensorFlow is used for establishing a corresponding relationship among tobacco flow at an inlet of a loose conditioning cylinder, outlet moisture, ambient temperature and humidity and hot air moisture content in the loose conditioning cylinder; and the proportion relation between the water adding amount and the steam applying amount is adjusted, so that the hot air water content in the loosening and conditioning cylinder is ensured to be stable; meanwhile, the steam application amount is regulated by tracking the outlet temperature through PID, and the water adding amount is regulated at the same time, so that the outlet moisture and the outlet temperature can be accurately controlled at the same time, and the occurrence of water stain smoke is effectively prevented by stabilizing the water content of hot air in the barrel.
Detailed Description
In the embodiment, the control method of the outlet moisture and the outlet temperature of the precise loosening and conditioning machine is that a set of control system for data acquisition, calculation and output is constructed by a Siemens 1500 series PLC and a ProfiBus-PA network system, the data of an electromagnetic flowmeter, a steam flowmeter, a moisture meter, a temperature sensor and a negative pressure sensor are acquired by the PLC, and the corresponding relation between the outlet moisture, the environment temperature and the humidity and the hot air moisture content in the loosening and conditioning cylinder is built by a TensorFlow time sequence prediction model; and the steam application amount is regulated by tracking the outlet temperature through PID, and the water adding amount is regulated at the same time, so that the hot air water content in the loosening and conditioning cylinder is ensured to be stable. By the model, not only can the outlet moisture and the outlet temperature be controlled accurately, but also the occurrence of water stain smoke can be prevented effectively by controlling the hot air moisture content in the cylinder; specifically, the method comprises the following steps:
step 1, acquiring tobacco flow, outlet moisture, environmental temperature and humidity data and hot air moisture content data of a loosening and conditioning cylinder of each batch of tobacco leaves of the conditioning machine in a stable state, and establishing a functional relation between the moisture content Wg of hot air in the loosening and conditioning cylinder and the tobacco leaf flow, outlet moisture and environmental temperature and humidity data.
Step 2, obtaining the maximum value of hot air water content in the loosening and conditioning cylinder through experiments, and marking the maximum value as MaxWg; and the maximum value MaxWg is set as the threshold value of the alarm.
Step 3, calculating the density rho of hot air in the loosening and conditioning cylinder by using the formula (1):
ρ＝K 1 ÷(273+T) (1)
in the formula (1), T is the air temperature of the moisture-removing hot air in the loosening and conditioning cylinder, K 1 Is constant, in this example, K 1 ＝35.96。
Step 4, calculating the wind speed V of hot air in the loosening and conditioning cylinder by using the formula (2):
V＝K 2 ×sqrt(2×P÷ρ) (2)
in the formula (2), P is the negative pressure of the moisture-removing hot air, sqrt is the square root number operation, K 2 Is constant, in this example, K 2 ＝0.593。
Step 5, calculating the air quantity Q of hot air in the loosening and conditioning cylinder by using the formula (3):
Q＝K 3 ×V×π×r 2 (3)
in the formula (3), r is the radius of the moisture removal pipeline, K 3 Is constant, in this example, K 3 ＝900。
Step 6, according to the actual temperature value at the outlet of the damping machine and the set temperature value, adjusting the opening degree of the steam film valve by utilizing a PID control model to enable the actual temperature value at the outlet of the damping machine to reach the set temperature value, and measuring the steam application quantity FL through a vortex shedding flowmeter behind the steam film valve 2 。
Step 7, calculating the moisture FL absorbed by the tobacco leaves in the loosening and conditioning cylinder in unit time according to the actual moisture of the tobacco leaves at the inlet and the moisture set value at the outlet 3 。
Step 8, calculating the water quantity FL applied to the loose and remoistening cylinder in unit time by using the formula (4) according to the water and steam quantity applied to the cylinder in unit time equal to the water quantity absorbed by tobacco leaves in unit time and discharged by the remoistening system, the water content Wg of hot air in the loose and remoistening cylinder equal to the water quantity discharged by the loose and remoistening cylinder 1 ：
FL 1 ＝Q×Wg+FL 3 -FL 2 (4)
In the formula (4), FL 2 Indicating the amount of steam applied to the loose conditioning drum per unit time.
Step 9, in order to avoid water stainThe moisture content Wg of hot air in the tobacco loosening and conditioning cylinder must be smaller than MaxWg obtained by experiment, namely FL 1 <MaxWg×Q+FL 3 -FL 2 Thereby calculating the maximum water quantity FL applied to the loose conditioning drum in unit time by using the formula (5) max ：
FL max ＝MaxWg×Q+FL 3 -FL 2 (5)
Step 10, flow rate FL 1 The frequency of the water pump is adjusted as a set value so that the amount of water applied is equal to FL 1 And not exceed FL max 。
In this embodiment, an electronic device includes a memory for storing a program supporting the processor to execute the above method, and a processor configured to execute the program stored in the memory.
In this embodiment, a computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the method described above.
Claims (3)
1. The accurate control method of the moisture and the temperature at the outlet of the damping machine is characterized by comprising the following steps:
step 1, acquiring tobacco flow, outlet moisture, environmental temperature and humidity data and hot air moisture content data of a loosening and conditioning cylinder of each batch of tobacco leaves of a conditioning machine in a stable state, and establishing a functional relation between the moisture content Wg of hot air in the loosening and conditioning cylinder and the tobacco leaf flow, the outlet moisture and the environmental temperature and humidity data;
step 2, obtaining the maximum value of hot air water content in the loosening and conditioning cylinder through experiments, and marking the maximum value as MaxWg; and setting the maximum value MaxWg as a threshold value of the alarm;
step 3, calculating the density rho of hot air in the loosening and conditioning cylinder by using the formula (1):
ρ＝K 1 ÷(273+T) (1)
in the formula (1), T is the air temperature of the moisture-removing hot air in the loosening and conditioning cylinder, K 1 Is a constant;
step 4, calculating the wind speed V of hot air in the loosening and conditioning cylinder by using the formula (2):
V＝K 2 ×sqrt(2×P÷ρ) (2)
in the formula (2), P is the negative pressure of the moisture-removing hot air, sqrt is the square root number operation, K 2 Is a constant;
step 5, calculating the air quantity Q of hot air in the loosening and conditioning cylinder by using the formula (3):
Q＝K 3 ×V×π×r 2 (3)
in the formula (3), r is the radius of the moisture removal pipeline, K 3 Is a constant;
step 6, according to the actual temperature value at the outlet of the damping machine and the set temperature value, adjusting the opening degree of the steam film valve by utilizing a PID control model to enable the actual temperature value at the outlet of the damping machine to reach the set temperature value, and measuring the steam application quantity FL through a vortex shedding flowmeter behind the steam film valve 2 ；
Step 7, calculating the moisture FL absorbed by the tobacco leaves in the loosening and conditioning cylinder in unit time according to the actual moisture of the tobacco leaves at the inlet and the moisture set value at the outlet 3 ；
Step 8, calculating the water quantity FL applied to the loose and rewet cylinder in unit time by utilizing the method (4) according to the fact that the water content Wg of hot air in the loose and rewet cylinder is equal to the water discharged by the loose and rewet cylinder in a moisture discharging manner 1 ：
FL 1 ＝Q×Wg+FL 3 -FL 2 (4)
In the formula (4), FL 2 Representing the amount of steam applied to the loose conditioning drum per unit time;
step 9, calculating the maximum water quantity FL applied to the loose and rewet cylinder in unit time by using the method (5) max ：
FL max ＝MaxWg×Q+FL 3 -FL 2 (5)
Step 10, flow rate FL 1 The frequency of the water pump is adjusted as a set value so that the amount of water applied is equal to FL 1 And not exceed FL max 。
2. An electronic device comprising a memory and a processor, wherein the memory is configured to store a program that supports the processor to perform the precise control method of claim 1, the processor being configured to execute the program stored in the memory.
3. A computer readable storage medium having a computer program stored thereon, characterized in that the computer program when run by a processor performs the steps of the precise control method of claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410028425.7A CN117678796A (en) | 2024-01-09 | 2024-01-09 | Accurate control method for outlet moisture and temperature of damping machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410028425.7A CN117678796A (en) | 2024-01-09 | 2024-01-09 | Accurate control method for outlet moisture and temperature of damping machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117678796A true CN117678796A (en) | 2024-03-12 |
Family
ID=90133566
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410028425.7A Pending CN117678796A (en) | 2024-01-09 | 2024-01-09 | Accurate control method for outlet moisture and temperature of damping machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117678796A (en) |
-
2024
- 2024-01-09 CN CN202410028425.7A patent/CN117678796A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110893001B (en) | Method and system for controlling water content of outlet of loosening and dampening process | |
| CN111045326B (en) | Tobacco shred drying process moisture prediction control method and system based on recurrent neural network | |
| CN102987538B (en) | Air-flowing type dried tobacco water control method | |
| CN106765052B (en) | A kind of intelligence computation forecast Control Algorithm of station boiler vapor (steam) temperature | |
| CN111109643B (en) | Method and system for controlling water content of cut tobacco of sheet cut tobacco drying | |
| JP2004027439A (en) | Method for predictively controlling drier of papermaking machine and apparatus therefor | |
| CN115336780B (en) | Loose conditioning water-adding control system based on neural network model and double parameter correction | |
| CN107411164B (en) | Three-stage water adding device for rear chamber of loosening and dampening roller and water adding control method | |
| CN110946313B (en) | Method and system for controlling water content of outlet of cut tobacco drying process | |
| CN110946314B (en) | Method and system for controlling water content of cut tobacco through air flow cut tobacco drying | |
| CN111766777A (en) | PID controller and PID control method | |
| CN111365733B (en) | Coal-fired boiler economic oxygen dynamic optimization method, system and equipment | |
| CN105807632A (en) | Heating furnace temperature controller design method based on improved Dahlin algorithm | |
| CN106262999A (en) | A kind of humidifying equipment amount of water automatic correcting method | |
| CN109856973A (en) | A kind of Technique for Controlling Greenhouse Environment and system based on fuzzy neural network | |
| CN117678796A (en) | Accurate control method for outlet moisture and temperature of damping machine | |
| CN112879220B (en) | Fan control method and system and readable storage medium | |
| CN116382357A (en) | Water adding flow control method based on equal-percentage flow characteristic model | |
| CN116671654A (en) | Method for obtaining material moisture control model of silk-making leaf-wetting machine through test | |
| CN112362522B (en) | Tobacco leaf volume weight measuring method based on reinforcement learning | |
| CN112180877A (en) | Method for determining feedforward coefficient compensation | |
| CN111938186B (en) | Method for setting working opening of hot air quantity air door of roller tube sheet type cut-tobacco dryer | |
| FI130339B (en) | Method, apparatus and computer program for controlling a process in making pulp, paper, or board | |
| CN203965070U (en) | A kind of heat pump calibration cell | |
| Meng et al. | Comparison between real-time auto-tuning PID and conventional PID controller for a dairy industrial evaporation process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |