CN114217523B - SDS dry desulfurizing agent precise feeding control method and device - Google Patents
SDS dry desulfurizing agent precise feeding control method and device Download PDFInfo
- Publication number
- CN114217523B CN114217523B CN202111535176.3A CN202111535176A CN114217523B CN 114217523 B CN114217523 B CN 114217523B CN 202111535176 A CN202111535176 A CN 202111535176A CN 114217523 B CN114217523 B CN 114217523B
- Authority
- CN
- China
- Prior art keywords
- desulfurizing agent
- data acquisition
- adjustment coefficient
- concentration
- flue gas
- 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.)
- Active
Links
- 230000003009 desulfurizing effect Effects 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000006477 desulfuration reaction Methods 0.000 claims abstract description 16
- 230000023556 desulfurization Effects 0.000 claims abstract description 16
- 238000011217 control strategy Methods 0.000 claims abstract description 11
- 238000006243 chemical reaction Methods 0.000 claims abstract description 6
- 239000003795 chemical substances by application Substances 0.000 claims description 27
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 21
- 238000000738 capillary electrophoresis-mass spectrometry Methods 0.000 claims description 21
- 239000003546 flue gas Substances 0.000 claims description 21
- 230000008859 change Effects 0.000 claims description 20
- 239000003344 environmental pollutant Substances 0.000 claims description 4
- 231100000719 pollutant Toxicity 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 2
- 239000011593 sulfur Substances 0.000 claims description 2
- 229910052717 sulfur Inorganic materials 0.000 claims description 2
- 238000005265 energy consumption Methods 0.000 abstract description 5
- 239000000463 material Substances 0.000 abstract description 4
- 230000008569 process Effects 0.000 description 7
- 238000012423 maintenance Methods 0.000 description 5
- 239000011734 sodium Substances 0.000 description 5
- 238000005259 measurement Methods 0.000 description 3
- 238000013480 data collection Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- DGAQECJNVWCQMB-PUAWFVPOSA-M Ilexoside XXIX Chemical compound C[C@@H]1CC[C@@]2(CC[C@@]3(C(=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CC[C@@H](C5(C)C)OS(=O)(=O)[O-])C)C)[C@@H]2[C@]1(C)O)C)C(=O)O[C@H]6[C@@H]([C@H]([C@@H]([C@H](O6)CO)O)O)O.[Na+] DGAQECJNVWCQMB-PUAWFVPOSA-M 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 229910052708 sodium Inorganic materials 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B11/00—Automatic controllers
- G05B11/01—Automatic controllers electric
- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
- G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/34—Chemical or biological purification of waste gases
- B01D53/346—Controlling the process
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/34—Chemical or biological purification of waste gases
- B01D53/46—Removing components of defined structure
- B01D53/48—Sulfur compounds
- B01D53/50—Sulfur oxides
- B01D53/508—Sulfur oxides by treating the gases with solids
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/34—Chemical or biological purification of waste gases
- B01D53/74—General processes for purification of waste gases; Apparatus or devices specially adapted therefor
- B01D53/81—Solid phase processes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D2258/00—Sources of waste gases
- B01D2258/02—Other waste gases
- B01D2258/0283—Flue gases
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Analytical Chemistry (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Automation & Control Theory (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Treating Waste Gases (AREA)
Abstract
The invention provides a precise feeding control method and device for an SDS dry desulfurizing agent, comprising a data acquisition instrument, a front end module, a feedback control module database, a fuzzy parameter controller, a prediction algorithm reasoning program, a digital-to-analog converter, an cross frequency device and a data processor; the data acquisition instrument is respectively connected with the front end module and the feedback control module; the data processor is respectively connected with the front end module, the feedback control module, the fuzzy parameter controller and the digital-to-analog converter; by first data acquisition: readjusting the coefficient K10: then adjusting the coefficient K20; and finally, establishing a corresponding control strategy and algorithm, and determining the final feeding amount of the desulfurizing agent. The material consumption and the energy consumption of the system can be reduced, the running cost is reduced, the safe, stable and efficient running of the system is ensured, the running and management efficiency of the system is improved, and the problems of complex desulfurization reaction environment and difficult control are solved; meanwhile, manual control is changed into automatic control, so that the degree of automation of the system is improved, and meanwhile, the labor cost is reduced.
Description
Technical Field
The invention relates to a desulfurizing agent feeding process in an SDS dry desulfurizing process, in particular to a precise feeding control method and device for an SDS dry desulfurizing agent.
Background
The desulfurizing agent of the current SDS dry desulfurizing system in the steel, chemical and building industries adopts variable frequency metering feeding and is conveyed into a desulfurizing tower through dilute phase pneumatic conveying. The logic control is generally only PID regulation in metering, and the automatic and intelligent feeding is not really realized.
SO in flue gas during operation of dry desulfurization system 2 The concentration is often lower than the design value, the addition of the desulfurizing agent is generally manually regulated, the system can not automatically regulate the addition of the desulfurizing agent according to the real-time change of the flue gas load,resulting in waste of materials and electric energy during operation.
In the whole desulfurization system, the consumption of the desulfurizing agent accounts for about 20 percent of the energy consumption of the desulfurization system, and the energy conservation and consumption reduction have great significance.
The invention provides a desulfurizing agent precise feeding control system which combines predictive fuzzy control and a big data model on the basis of original traditional control through research and improvement.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a precise feeding control method and device for an SDS dry desulfurizing agent.
In order to achieve the above purpose, the invention adopts the following technical scheme: a precise feeding control method and device for an SDS dry desulfurizing agent comprise a data acquisition instrument, a front end module, a feedback control module, a database, a fuzzy parameter controller, a prediction algorithm reasoning program, a digital-to-analog converter, a frequency converter and a data processor; the data acquisition instrument is respectively connected with the front end module and the feedback control module; the data processor is respectively connected with the front end module, the feedback control module, the fuzzy parameter controller and the digital-to-analog converter.
Preferably, the precise feeding control method of the SDS dry desulfurizing agent comprises the following steps:
s1: and (3) data acquisition:
the data acquisition instrument acquires and transmits the SO of the flue gas in the CEMS at the inlet of the desulfurization system 2 Concentration, O 2 Quantity, humidity, temperature and flow rate Q p Waiting for data;
s2: adjusting a feed amount adjustment coefficient K10:
based on system outlet SO 2 The discharge amount is determined, and a desulfurizing agent feedback feeding amount adjustment coefficient K10 is determined;
the pollutant emission limit value is less than or equal to 35mg/Nm based on local environmental protection requirements or industry 3 Setting system SO 2 Emission limits, calculating SO required by the system 2 The removal amount is determined by the chemical reaction equation: 2NaHCO 3 +SO 2 + 1 / 2 O 2 →Na 2 SO 4 +H 2 O+2CO 2 Determining the current SO removal 2 The theoretical feeding quantity Go at the front end of the desulfurizing agent which is discharged after reaching the standard;
based on data acquisition collector, collecting SO (SO) in flue gas in CEMS (desulfurization System) at outlet 2 Concentration according to the net smoke flow Q j Calculating SO 2 The discharge rate is set by and at the reference system SO 2 SO at emission limits 2 Differential delta of discharge rate 1 Determination of SO 2 A feed-back amount adjustment coefficient K10 of the discharge variation;
s3: adjusting the additional adjustment coefficient K20;
SO of the CEMS of the imported and exported flue gas collected according to the data collector 2 The concentration value is carded and counted to obtain corresponding SO 2 Concentration change rate V In S02 And V Go out of S02 Determination of SO 2 Concentration change rate high limit value V S02g ；
Based on the SO 2 Concentration change rate high limit value V S02g With clean flue gas SO 2 Concentration change rate V Go out of S02 Determination of SO 2 Concentration change rate high limit value V S02g The method comprises the steps of carrying out a first treatment on the surface of the Comparing, establishing corresponding control strategy and logic, combining SO 2 The post-feed charge amount adjustment coefficient K10 for the change in emissions, determining an additional adjustment coefficient k20=k10×v Go out of S02 ；
S4: establishing a corresponding control strategy and algorithm, and determining the final feeding quantity G of the desulfurizing agent Terminal (A) ；
Determining the final feeding quantity G of the desulfurizing agent according to the front-end theoretical feeding quantity Go, the feedback feeding quantity adjusting coefficient K10 and the additional adjusting coefficient K20 through corresponding proportional/calculus functions, fuzzy control and reasoning rules Terminal (A) ＝Go*(1+K10)*(1+K20)。
Preferably, a process library and an operation and maintenance rule system are arranged in the database; the rule process library and the operation and maintenance rule system belong to a parallel relation; and the knowledge base and the predictive algorithm reasoning program exchange information in two directions.
Preferably, the front-end module comprises a set variable unit, a front-end algorithm model unit and a front-end data writing controller unit; the feedback control module comprises a back-end parameter controller unit and a back-end algorithm program unit.
Preferably, the front-end data writing controller unit and the back-end parameter controller unit both adopt standard PID control strategies.
Preferably, the fuzzy parameter controller adopts a self-adaptive PID fuzzy control strategy.
Preferably, the device is further provided with an inlet CEMS and an outlet CEMS; the inlet CEMS is connected with the data acquisition instrument; and the outlet CEMS is connected with the data acquisition instrument and the predictive algorithm reasoning program.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention changes manual control into automatic control, improves the degree of automation of the system, and reduces the labor cost.
2. Solves the problems of complex desulfurization reaction environment and difficult control.
3. The device and the system can reduce the material consumption and the energy consumption of the system, reduce the operation cost, ensure the safe, stable and efficient operation of the system and improve the operation and management efficiency of the system.
4. The problems of large fluctuation of SO2 in the flue gas and control and regulation lag are solved, and the system has strong pre-judgment control performance.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
FIG. 2 is a schematic diagram of the interior of a database;
in the figure: 1-a data acquisition instrument; 2-front end module; 3-a feedback control module; 4-a database; 5-fuzzy parameter controller; 6-predicting an algorithm reasoning program; 7-digital-to-analog converter; 8-frequency converter; 9-a data processor; 21-a variable unit; 22-a front-end algorithm program unit; 23-front end data write controller unit; 31-a backend parameter controller unit; 32-a back-end algorithm program unit; 11-import CEMS; 12-egress CEMS; 41-a process library; 42-running a maintenance protocol system.
Detailed Description
For a further understanding of the objects, construction, features, and functions of the invention, reference should be made to the following detailed description of the preferred embodiments.
Referring to fig. 1 in combination, the invention provides a precise feeding control method and device for an SDS dry desulfurizing agent, wherein the device comprises a data acquisition instrument 1, a front end module 2, a feedback control module 3, a database 4, a fuzzy parameter controller 5, a predictive algorithm reasoning program 6, a digital-to-analog converter 7, a frequency converter 8 and a data processor 9; the data acquisition instrument 1 is respectively connected with the front end module 2 and the feedback control module 3; the data processor 9 is respectively connected with the front end module 2, the feedback control module 3, the fuzzy parameter controller 5 and the digital-to-analog converter 7.
According to the invention, manual control is changed into automatic control, so that the degree of automation of the system is improved, and the labor cost is reduced.
Preferably, the precise feeding control method of the SDS dry desulfurizing agent comprises the following steps:
s1: and (3) data acquisition:
the data acquisition instrument 1 acquires and transmits the SO of the flue gas in the inlet CEMS 11 of the desulfurization system 2 Concentration, O 2 Quantity, humidity, temperature and flow rate Q p And the like.
S2: adjusting a feed amount adjustment coefficient K10:
based on system outlet SO 2 The discharge amount is determined, and a desulfurizing agent feedback feeding amount adjustment coefficient K10 is determined;
based on local environmental requirements or industry pollutant emission limits (.ltoreq.35 mg/Nm) 3 ) Setting system SO 2 Emission limits, calculating SO required by the system 2 The removal amount is determined by the chemical reaction equation: 2NaHCO 3 +SO 2 + 1 / 2 O 2 →Na 2 SO 4 +H 2 O+2CO 2 Determining the current SO removal 2 The theoretical feeding quantity Go of the front end of the desulfurizing agent which is discharged after reaching the standard.
Setting system SO according to the local environment requirement or the industry pollutant emission limit value 2 Emission limit Cso 2 go out Relevant parameters (flow Qs) of the inlet flue gas CEMS 11 collected by the data collection system Into (I) Inlet SO 2 Concentration Cso 2 go into Containing O 2 Quantity V O2 Temperature T, etc.), determining desulfurization efficiency ηso 2 ＝(1-Cso 2 go out /Cso 2 go into ) 100% of total amount of desulfurization G T,SO2 ＝Qs Into (I) *(Cso 2 go into -Cso 2 go out ) Molar mass M of desulfurization Tm ＝G T,SO2 /M SO2 (wherein SO 2 Molecular weight 64.06).
Based on the desulfurization molar quantity M Tm Properly selecting Na/S (2-2.5) of mole ratio of sodium to sulfur according to the quality content n of the desulfurizing agent s,g Determining current removal of SO 2 Theoretical feed quantity go=m of front end of desulfurizing agent discharged after reaching standard Tm *Na/S*M NaHCO 3 /n s,g (kg/h)。
SO of desulfurization system outlet flue gas CEMS 12 is gathered based on data acquisition appearance 2 Concentration according to the net smoke flow Q j Calculating SO 2 The discharge rate is set by and at the reference system SO 2 SO at emission limits 2 Differential delta of discharge rate 1 Determination of SO 2 The post-feed charge amount adjustment coefficient K10 of the discharge variation includes:
according to the relevant parameters (flow Q j 、SO 2 Concentration C SO2 measurement, out O2 content V O2 measurement, out Etc.), determining SO in the clean flue gas 2 Discharge rate G j measuring ＝Q j *C SO2 measurement, out /10 6 (kg/h)；
Based on SO in the clean flue gas 2 Discharge rate G j measuring And setting up the system SO 2 Clean flue gas SO with determined emission limit 2 Discharge rate G SO2 outlet ＝Qs Into (I) *C SO2 outlet Comparison, determination S0 2 Is discharged at a rate corresponding to SO at standard conditions 2 Differential delta of discharge rate 1 And SO 2 Feedback charge amount adjustment coefficient k10=Δ for discharge variation 1 /G SO2 outlet 。
S3: adjusting the additional adjustment coefficient K20;
SO of the CEMS of the imported and exported flue gas collected according to the data collector 2 The concentration value is carded and counted to obtain corresponding SO 2 Concentration change rate V In S02 And V Go out of S02 Determination of SO 2 Concentration change rate high limit value V S02g ；
Flue gas SO in the outlet CEMS 12 collected by the data collection system 2 The concentration value is carded and counted to obtain corresponding SO 2 Concentration change rate V In S02 And V Go out of S02 (unit: mg/(Nm) 3 Min)), determine SO 2 Concentration change rate high limit value V S02g ；
Based on the SO 2 Concentration change rate high limit value V S02g With clean flue gas SO 2 Concentration change rate V Go out of S02 Comparing, establishing corresponding control strategy and logic, combining SO 2 A feedback charge amount adjustment coefficient K10 of the discharge variation, determining an additional adjustment coefficient k20=k10×vout S02;
s4: establishing a corresponding control strategy and algorithm, and determining the final feeding quantity G of the desulfurizing agent Terminal (A) ；
Determining the final feeding quantity G of the desulfurizing agent according to the front-end theoretical feeding quantity Go, the feedback feeding quantity adjusting coefficient K10 and the additional adjusting coefficient K20 through corresponding proportional/calculus functions, fuzzy control and reasoning rules Terminal (A) ＝Go*(1+K10)*(1+K20)。
Solving the SO of the flue gas 2 The fluctuation is large, the control and regulation lag is high, the system pre-judging control performance is high, the material consumption and the energy consumption of the system can be reduced, the running cost is reduced, the safe, stable and efficient running of the system is ensured, and the running and management efficiency of the system is improved; solves the problems of complex desulfurization reaction environment and difficult control.
Preferably; a process library and an operation and maintenance rule system are arranged in the database; the rule process library and the operation and maintenance rule system belong to a parallel relation; and the knowledge base and the predictive algorithm reasoning program exchange information in two directions.
Preferably, the front-end module comprises a set variable unit, a front-end algorithm model unit and a front-end data writing controller unit; the feedback control module comprises a back-end parameter controller unit and a back-end algorithm program unit.
Preferably, the front-end data writing controller unit and the back-end parameter controller unit both adopt standard PID control strategies.
PID is short for proportional-integral-derivative control, is also a control algorithm, and has the characteristics of flexible structure change, mature technology and strong adaptability.
Preferably, the fuzzy parameter controller adopts a self-adaptive PID fuzzy control strategy.
The self-adaptive fuzzy PID controller takes the deviation e and the deviation change ec of a set value and an actual value as input on the basis of original classical PID control, and continuously detects e and ec in operation so as to meet the requirements of e and ec at different moments on PID parameter self-tuning. And modifying the PID parameters by using a fuzzy control rule to form the self-adaptive fuzzy PID controller. The system control fluctuation is small, the parameters are stable, the safety is high, and the performance is superior to that of the conventional PID control.
Preferably, the device is further provided with an inlet CEMS 11 and an outlet CEMS 12; the inlet CEMS 11 is connected with the data acquisition instrument 1; the outlet CEMS 12 is connected to the data acquisition instrument 1 and the predictive algorithm inference program 6.
The invention has been described with respect to the above-described embodiments, however, the above-described embodiments are merely examples of practicing the invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (1)
1. A precise feeding control method for an SDS dry desulfurizing agent is characterized by comprising the following steps of: the method comprises the following steps:
s1: and (3) data acquisition:
the data acquisition instrument acquires and transmits CEMS flue gas SO at the inlet of the desulfurization system 2 Concentration, O 2 Quantity, humidity, temperature and flow rate Q p Data;
s2: adjusting a feed amount adjustment coefficient K10:
based on system outlet SO 2 The discharge amount is determined, and a desulfurizing agent feedback feeding amount adjustment coefficient K10 is determined;
the pollutant emission limit value is less than or equal to 35mg/Nm based on local environmental protection requirements or industry 3 Setting system SO 2 Emission limits, calculating SO required by the system 2 The removal amount is determined by the chemical reaction equation: 2NaHCO 3 +SO 2 +1/2O 2 →Na 2 SO 4 +H 2 O+2CO 2 Determining the current SO removal 2 The theoretical feeding quantity Go at the front end of the desulfurizing agent which is discharged after reaching the standard;
based on data acquisition instrument gathers desulfurization system export CEMS flue gas SO 2 Concentration according to the net smoke flow Q j Calculating SO 2 The discharge rate is set by and at the reference system SO 2 SO at emission limits 2 Differential delta of discharge rate 1 Determination of SO 2 A feed-back amount adjustment coefficient K10 of the discharge variation;
s3: adjusting the additional adjustment coefficient K20;
SO of the CEMS of the imported and exported flue gas collected according to the data collector 2 The concentration value is carded and counted to obtain corresponding SO 2 Concentration change rate V In S02 And V Go out of S02 Determination of SO 2 Concentration change rate high limit value V S02g ；
Based on the SO 2 Concentration change rate high limit value V S02g With clean flue gas SO 2 Concentration change rate V Go out of S02 Comparing, establishing corresponding control strategy and logic, combining SO 2 The post-feed charge amount adjustment coefficient K10 for the change in emissions, determining an additional adjustment coefficient k20=k10×v S02g ；
S4: establishing a corresponding control strategy and algorithm, and determining the final feeding quantity G of the desulfurizing agent Terminal (A) ；
Determining the stripping according to the front-end theoretical feeding quantity Go, the feedback feeding quantity adjusting coefficient K10 and the additional adjusting coefficient K20 through PID fuzzy control and reasoning rulesFinal sulfur dose G Terminal (A) ＝Go*(1+K10)*(1+K20)。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111535176.3A CN114217523B (en) | 2021-12-15 | 2021-12-15 | SDS dry desulfurizing agent precise feeding control method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111535176.3A CN114217523B (en) | 2021-12-15 | 2021-12-15 | SDS dry desulfurizing agent precise feeding control method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114217523A CN114217523A (en) | 2022-03-22 |
| CN114217523B true CN114217523B (en) | 2023-09-01 |
Family
ID=80702391
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111535176.3A Active CN114217523B (en) | 2021-12-15 | 2021-12-15 | SDS dry desulfurizing agent precise feeding control method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114217523B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003334420A (en) * | 2002-05-21 | 2003-11-25 | Babcock Hitachi Kk | Wet exhaust gas desulfurization equipment |
| CN201127877Y (en) * | 2007-11-15 | 2008-10-08 | 王晓东 | Dry-wet desulfurization dust-removing equipment |
| CN102631828A (en) * | 2012-03-19 | 2012-08-15 | 杭州电子科技大学 | Dry-process desulfuration fuzzy control method for boiler of coal slime fluidized bed |
| CN105116855A (en) * | 2015-07-22 | 2015-12-02 | 华北电力大学 | Optimal control method for flue gas circulating fluidized bed desulphurization |
| CN109101049A (en) * | 2018-10-26 | 2018-12-28 | 马鞍山当涂发电有限公司 | A kind of desulfuration absorbing tower pH value is exchanged work frequency hybrid control system and method |
| CN109224815A (en) * | 2018-10-18 | 2019-01-18 | 中国石化扬子石油化工有限公司 | A kind of ammonia process of desulfurization optimal control method based on Multivariable Constrained interval prediction control |
| CN109833773A (en) * | 2019-03-08 | 2019-06-04 | 东方电气集团东方锅炉股份有限公司 | A kind of NO_x Reduction by Effective ammonia flow accuracy control method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR3017057B1 (en) * | 2014-02-05 | 2016-05-06 | Ereie - Energy Res Innovation Eng | DEVICE AND METHOD FOR EXTRACTING A CHEMICAL COMPOUND IN ACIDIC GASES |
-
2021
- 2021-12-15 CN CN202111535176.3A patent/CN114217523B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003334420A (en) * | 2002-05-21 | 2003-11-25 | Babcock Hitachi Kk | Wet exhaust gas desulfurization equipment |
| CN201127877Y (en) * | 2007-11-15 | 2008-10-08 | 王晓东 | Dry-wet desulfurization dust-removing equipment |
| CN102631828A (en) * | 2012-03-19 | 2012-08-15 | 杭州电子科技大学 | Dry-process desulfuration fuzzy control method for boiler of coal slime fluidized bed |
| CN105116855A (en) * | 2015-07-22 | 2015-12-02 | 华北电力大学 | Optimal control method for flue gas circulating fluidized bed desulphurization |
| CN109224815A (en) * | 2018-10-18 | 2019-01-18 | 中国石化扬子石油化工有限公司 | A kind of ammonia process of desulfurization optimal control method based on Multivariable Constrained interval prediction control |
| CN109101049A (en) * | 2018-10-26 | 2018-12-28 | 马鞍山当涂发电有限公司 | A kind of desulfuration absorbing tower pH value is exchanged work frequency hybrid control system and method |
| CN109833773A (en) * | 2019-03-08 | 2019-06-04 | 东方电气集团东方锅炉股份有限公司 | A kind of NO_x Reduction by Effective ammonia flow accuracy control method |
Non-Patent Citations (1)
| Title |
|---|
| 脱硫喷淋***的模糊PID控制;刘岩;龚雨含;余舜尧;胡梦滢;乔实;;自动化技术与应用(第05期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114217523A (en) | 2022-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020088485A1 (en) | Intelligent multi-pollutant ultra-low emission system and global optimization method | |
| CN105278567B (en) | Garbage-incineration smoke purifying control method and system based on fuzzy control | |
| CN105116855B (en) | A kind of optimal control method of flue gas circulating fluidized bed desulfurization | |
| CN102921287B (en) | Double-tower double-circulation limestone wet method desulfurization device and method | |
| CN109034457A (en) | A kind of modeling of coal-burning power plant's pollutant low cost cooperation-removal and optimization method | |
| CN111624876B (en) | Intelligent ammonia injection optimization control system | |
| CN112883553A (en) | Oxidation fan operation optimization method of single-tower double-circulation desulfurization device | |
| CN114217523B (en) | SDS dry desulfurizing agent precise feeding control method and device | |
| CN104959015A (en) | Flue gas desulphurization automatic control system capable of realizing thorough emission of flue gas and desulphurization method | |
| CN112364562A (en) | Cooperative control method and system for flue gas environmental protection island | |
| CN202844870U (en) | Double-tower and double-circulation limestone wet desulfurization device | |
| CN209530529U (en) | SO in a kind of coal-fired flue-gas3Removing system | |
| CN204746081U (en) | Can realize flue gas desulfurization automatic controls of ultra -clean emission | |
| CN103116282B (en) | The pre-input amount Multipurpose Optimal Method of circulating fluidized bed desulfur agent | |
| CN207187485U (en) | Wet flue gas desulfurization oxidation fan energy saving system | |
| CN202983689U (en) | Mobile desorption and regeneration system of active coke | |
| CN204724018U (en) | The flue gas desulfurization automatic control system of ultra-clean discharge can be realized | |
| CN108126517A (en) | A kind of hydrolysis of power plant supplies ammonia denitrating system and its control method | |
| CN205650071U (en) | Automatically regulated adds ammonia system based on pH value | |
| CN200954420Y (en) | Cloth-bag duster for high-condensation smoke treatment | |
| CN209393006U (en) | A kind of sulphur coal desulphurization system | |
| CN112574787A (en) | Blast furnace gas TRT post-desulfurization equipment and process | |
| CN112791567A (en) | Automatic speed regulating system of wet desulphurization slurry pump and control method | |
| CN207445966U (en) | A kind of system for coke-oven plant's flue gas desulfurization | |
| CN206262347U (en) | A kind of semi-dry desulphurization tower for being provided with flue gas self-loopa adjusting means |
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 | ||
| CB02 | Change of applicant information |
Address after: 224051 innovation center, 42 environmental protection Avenue, environmental protection science and Technology City, Tinghu District, Yancheng City, Jiangsu Province Applicant after: Jiangsu Kunlun Internet Technology Co.,Ltd. Address before: 224051 innovation center, 42 environmental protection Avenue, environmental protection science and Technology City, Tinghu District, Yancheng City, Jiangsu Province Applicant before: Kunyue Internet Environmental Technology (Jiangsu) Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |