CN102703626A - Intelligent optimal control system for CO2 emission of blast furnace - Google Patents

Intelligent optimal control system for CO2 emission of blast furnace Download PDF

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CN102703626A
CN102703626A CN2012102044486A CN201210204448A CN102703626A CN 102703626 A CN102703626 A CN 102703626A CN 2012102044486 A CN2012102044486 A CN 2012102044486A CN 201210204448 A CN201210204448 A CN 201210204448A CN 102703626 A CN102703626 A CN 102703626A
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blast furnace
emission
control system
blast
discharging
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CN102703626B (en
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李潘
吴少波
杨小军
孙彦广
于立业
张云贵
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Automation Research and Design Institute of Metallurgical Industry
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Abstract

The invention relates to an intelligent optimal control system for CO2 emission of a blast furnace and belongs to the technical field of energy-saving and emission-reducing control of the blast furnace. The intelligent optimal control system comprises an optimizing computer for the CO2 emission of the blast furnace, a material-loading control system, a blast furnace main body control system, a hot blast furnace control system, a blast furnace blasting control system, a coal-spraying control system, a foundation automatic control system, a blast furnace production process and production data collecting system, a CO2 emission report system and a database, wherein the optimizing computer for the CO2 emission of the blast furnace is connected with the database, thereby forming an optimizing platform for the CO2 emission of the blast furnace; the material-loading control system, the blast furnace main body control system, the hot blast furnace control system, the blast furnace blasting control system and the coal-spraying control system are connected with the foundation automatic control system, thereby forming an optimizing control system for the CO2 emission of the blast furnace; the optimizing computer for the CO2 emission of the blast furnace is also connected with the CO2 emission report system, thereby forming an assessing platform for the CO2 emission of the blast furnace; and a CO2 emission-reducing optimizing computer is used for obtaining a real-time data for blast furnace production in the database, calculating and solving a CO2 emission-reducing optimizing model, thereby achieving the CO2 emission-reducing optimization.

Description

Blast furnace CO 2The discharging intelligent optimizing control system
Technical field
The invention belongs to energy Conservation of Blast Furnace and reduce discharging the control techniques field.Be particularly related to a kind of blast furnace CO 2The discharging intelligent optimizing control system.
Technical background
Iron and steel enterprise is the industry that greenhouse gas emission control is had the greatest impact, and its greenhouse gas emission is mainly with CO 2Discharging is main.In the carbon emission of China's Iron And Steel Industry, the carbon emission more than 95% all comes from energy consumption.Utilize energy-conserving and emission-cutting technology to reduce CO 2Discharging, the most feasible also the most effectively the reduction of discharging measure be to reduce process energy consumption.The blast furnace ironmaking operation is as the highest operation of energy consumption in the Iron and Steel Production operation, and its energy consumption proportion accounts for more than 50% of whole energy consumptions, and the key that therefore realizes iron and steel enterprise's reduction of greenhouse gas discharge is the energy-saving and emission-reduction of blast furnace ironmaking operation.At present, in the blast furnace ironmaking actual production process, the energy consumption degree is much higher than its design energy consumption, and its major cause is that the control of high furnace control system is confined to keep the normal operation of production, and has not given play to the effect of optimal control.Blast furnace CO 2The factor that relates to of discharging is many, and does not have rational mathematical model, therefore in actual production also seldom CO 2Discharge index directly is combined in the control scheme as controlled variable.
" system of intelligent blast furnace smelt controlling " that Patent Office of the People's Republic of China 2003 announces (CN02137569.0), " a kind of method of utilizing intelligence control system control blast-furnace smelting " (CN02137568.1); The optimal control that can find out present blast furnace mainly is the multiple-objection optimization of carrying out to energy consumption, output and quality product; Through different optimization aim is set up Optimization Model; Utilize computingmachine to be optimized to find the solution and help to strengthen the operational management and the control of blast furnace, realize low consumption, high yield and high-quality in the production process.But these technical publicationss are not all from optimizing CO 2The angle of discharging is set up blast furnace production process CO 2The The Emission Optimization model also just can't be realized the CO of blast furnace production process 2The control of discharging.
Study blast furnace CO at present 2The method of calculation of discharging mainly contain two types, and one type is based on carbon element balance in the blast furnace production process, utilize the carbon element input of blast furnace to deduct the CO that fixed carbon content calculates the blast furnace generation 2Quantity discharged, this account form are not considered factor and the product carbon discount that fixation of C loss, blast furnace gas are recycled in computation process, so the result is higher.One type is through calculating energy expenditure in the blast furnace production process, utilizing the blast furnace energy expenditure to be converted into standard coal equivalent consumption, then the unit's of utilization standard coal equivalent incendiary CO 2Amount is come the CO of computing whole blast furnace production process 2Quantity discharged, in actual production process, different steel mills energy structure is different, and the secondhand energy utilization ratio is also inequality, causes the energy consumption and the CO of blast furnace ton iron like this 2There is the inconsistent situation of variation in discharging, so calculation result can not truly reflect CO 2Discharging.In fact these account forms have broken away from the blast furnace actual production process, therefore can't realize blast furnace CO 2The optimization of discharging.At present to blast furnace production process CO 2The Modeling optimization of discharging, what mainly take is the process integration method.Document [C.Wang, M.larsson, C.Ryman, et.A model on CO 2Emission reduction in integrated steelmaking by optimization methods, Int.J.Energy Res.2008; 32:1092-1106] and document [Zhang Qi; Yao Tonghui, Cai Jiuju, Shen Fengman. the research and the application of blast furnace ironmaking process Model for Multi-Objective Optimization. Northeastern University's journal (natural science edition) .Vo1.32; No.2,2011] all mentioned and adopted the method for process integration to realize blast furnace production process CO 2The optimization of discharging is found the solution through Model Optimization, can draw minimum CO in the blast furnace production process 2Optimization raw material during discharging is formed and quality product.Because these documents are being set up CO 2In the model of The Emission Optimization, only considered that input, output matter and energy are to CO 2The influence of discharging, so optimum result is that the ideal raw materials for production are formed and produced product parameters, can't CO be provided to the system of blast furnace production process 2The Emission Optimization control reference.Therefore want to realize blast furnace CO 2The accurate calculating and the optimal control of discharging must combine the blast furnace production technique, consider to influence blast furnace ironmaking production process CO 2The various parameters that influence of discharging are set up blast furnace production process CO 2The The Emission Optimization model is to CO 2The minimum optimization of discharging is found the solution, and provides the optimal control parameter of blast furnace production process.
Summary of the invention
The object of the present invention is to provide a kind of blast furnace CO 2The discharging intelligent optimizing control system adopts advanced measuring technology, field bus technique, process integration method and intelligent control technology.At first, study energy stream, substance flow and processing parameter and CO in the blast furnace process according to the work characteristics of Iron And Steel Industry blast furnace ironmaking operation 2The relation of discharging.Adopt advanced measuring technology, obtain relevant control process parameters and crude fuel parameter, product quality parameters, emission source data, and data are carried out normalization method.Utilize the process integration method, Analysis for CO 2Reduce discharging objective function and final condition thereof, realize with the reduction of discharging being the CO of iron and steel enterprise of controlled target 2The discharging dynamic modeling.Through the CO of iron and steel enterprise 2The The Emission Optimization model can calculate blast furnace production process CO 2Discharging also generates the discharging report.Simultaneously according to CO 2The quantity discharged minimum is the optimal control target function, model is optimized finds the solution, and obtains the optimal control parameter set(ting)value that energy saving of system reduces discharging, and realizes CO 2The intelligent optimization control that reduces discharging.In optimizing process, obtain simultaneously blast furnace ton iron CO in real time 2The discharging report.
What the present invention proposed is to CO 2Discharging is to be the blast furnace production process optimal control system of optimization aim with CO with present blast furnace intelligence control system and blast furnace smelting expert system difference 2Discharging is optimized as objective function, with CO 2Discharge index realizes production process optimization control as controlled variable.Secondly the calculating blast furnace CO that sets up 2What discharge method was taked is blast furnace carbon element balance; But different with present traditional calculations carbon element balance method is to have considered that in computation process carbon loss, blast furnace gas reclaim and product carbon discount, has also utilized blast furnace production process CO2 discharging actual monitoring data simultaneously.The blast furnace CO that this patent is set up 2The The Emission Optimization model, modeling method of taking and document [C.Wang, M.larsson, C.Ryman, et.A model on CO 2Emission reduction in integrated steelmaking by optimization methods, Int.J.Energy Res.2008; 32:1092-1106] and document [Zhang Qi; Yao Tonghui, Cai Jiuju, Shen Fengman. the research and the application of blast furnace ironmaking process Model for Multi-Objective Optimization. Northeastern University's journal (natural science edition) .Vo1.32; No.2; 2011] identical, all adopt the process integration modeling method, but with these document differences be this patent with the control process parameters in the blast furnace production process to CO 2The influence factor of discharging adds among the model, therefore CO in the blast furnace actual production process can be provided 2The Emission Optimization control process parameters optimum value.
The present invention includes blast furnace CO 2The Emission Optimization computingmachine 1, feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6, basic automatization system 7, blast furnace production process 8, production data acquisition system 9, CO 2Discharging reporting system 10, DB 11.Blast furnace CO 2The Emission Optimization computingmachine 1 links to each other with DB 11, constitutes blast furnace CO 2The The Emission Optimization platform; Production data acquisition system 9 links to each other with blast furnace production process 8, basic automatization system 7, feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6 respectively; Gather the blast furnace ironmaking process data in real time, and import data into DB 11 through network; Blast furnace CO 2The Emission Optimization computingmachine 1 is connected with feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6 respectively through network, and feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6 link to each other with basic automatization system 7 jointly and constitute blast furnace CO 2The The Emission Optimization system, the control blast furnace production process; Blast furnace CO 2The Emission Optimization computingmachine 1 is gone back and CO 2Discharging reporting system 10 links to each other, as blast furnace CO 2The discharging Evaluation Platform.
Described blast furnace CO 2Set up promising blast furnace CO in the The Emission Optimization computingmachine 1 2Emission control systems provides the blast furnace CO of guidance 2The The Emission Optimization software module realizes blast furnace production process CO 2The optimization of discharging, and optimization CO is provided 2Blast furnace CO during discharging 2The controlled variable of emission control systems.
Described blast furnace CO 2The The Emission Optimization software module comprises: production data reception and memory module 12, objective function parameter coefficients calculation block 13, constraint condition computing module 14, CO 2The Emission Optimization problem solver module 15, parameter output module 16.It is characterized in that: production data receives and is connected with objective function parameter coefficients calculation block 13, constraint condition computing module 14 with memory module 12; Objective function parameter coefficients calculation block 13, constraint condition computing module 14 common and CO 2The Emission Optimization problem solver module 15 links to each other CO 2The Emission Optimization problem solver module 15 links to each other with parameter output module 16.Production data receives and memory module 12 is responsible for receiving from the various supplemental characteristics in the blast furnace ironmaking production process in the DB 11; Data are carried out pre-treatment and normalization method; Objective function parameter coefficients calculation block 13 constraints computing modules 14 are according to the pretreated data of process; Calculate parameter coefficient constraints, CO 2The Emission Optimization problem solver module 15 is found the solution the objective function constraints equation that is made up of parameter, parameter coefficient constraints, obtains with CO 2The discharging minimum is optimized parameter optimization value, and through 16 outputs of parameter output module.
Its blast furnace CO 2The blast furnace CO that the The Emission Optimization software module is set up 2The The Emission Optimization model need be to influencing CO 2Data such as the crude fuel parameter of discharging, operating parameters, product quality parameters carry out normalization method, and calculating parameter are to CO 2The discharging influence coefficient is set up blast furnace CO 2The The Emission Optimization model.This model major function comprises, through obtaining blast furnace production process data and controlled variable data in real time, calculates CO 2CO is set up in discharging 2The optimization aim that discharging is minimum is a constraint condition to produce matter energy balance and technology, finds the solution the optimization numerical solution, for system provides real-time optimal setting.
Set up CO 2The The Emission Optimization model formation is following:
min Σ i C i x i
X representes the selected CO in the blast furnace production process that influences in the formula 2The influence factor variable of discharging comprises crude fuel parameter, control process parameters, product quality parameters, other parameters, x iRepresent i variable; C representes to influence in the blast furnace production process CO 2The factor of influence of variable, C iExpression variable x iFactor of influence.To typical blast furnace ironmaking operation, the crude fuel parameter is elected as: agglomerate consumption x 1, pellet consumption x 2, rawore 1 (natural ore deposit) consumption x 3, rawore 2 (mixing ore deposit) consumption x 4, coke consumption x 5, injecting coal quantity x 6, coke-oven gas consumption x 7, blast furnace gas consumption x 8Control process parameters is elected as: air blast parameter (air quantity x 9, wind-warm syndrome x 10, rheumatism x 11, oxygen enrichment percentage x 12), basicity of slag x 13, charging moisture x 14, CO in the coal gas 2Content x 15Product quality parameters: blast furnace gas generating capacity x 16, slag amount x 17, Dust Capacity x 18, the pig iron contains Fe amount x 19, pig iron C content x 20, pig iron si content x 21, the pig iron contains Mn amount x 22, pig iron P content x 23, the pig iron contains S amount x 24Other parameters: blast furnace gas yield x 25, CO 2Discharging amount of collected x 26The CO of each parametric variable wherein 2The discharging factor of influence shows as: raw material CO 2Discharging factor of influence=raw material C content * 44/12; Fuel C O 2Discharging factor of influence=(remove CO in the by-product gas 2Outer each carbonaceous component) * 44 * 10/22.4; Pig iron CO 2Discharging factor of influence=pig iron C content * 1t * 44/12; Dust CO 2Discharging factor of influence=dust C content * 44/12; CO2 amount of collected discharging factor of influence=-1; The CO of all the other parameters 2The discharging factor of influence is a fixed value, releases according to blast furnace production material, thermal equilibrium and actual production data.
Bound for objective function is
Figure BDA0000177441382
A in the formula I, jX when representing j constraint condition iCoefficient, A jBinding occurrence for target.Constraint condition can be divided into balance constraint and process constraint, and concrete constraint condition is: the balance constraint comprises (quantity of slag balance, blast furnace gas generating capacity, blast furnace thermal equilibrium, element (Fe, C, S, P) balance, material balance); Process constraint comprises (basicity of slag constraint, the constraint of slag MgO content, the constraint of the pig iron (C, Si) content, slag amount constraint, the constraint of ejection coal dust amount, throat temperature constraint).
Described blast furnace CO 2The The Emission Optimization system is to utilize blast furnace CO 2The optimized operation parameter that The Emission Optimization computingmachine 1 provides is to blast furnace CO 2The control corresponding system is set up in discharging: feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6.Blast furnace CO 2The corresponding basic automatization control of The Emission Optimization system comprises loading sequence control, batch weight/proportioning/load/basicity control, coke moisture revisal control, stockline control, blast volume control, wind-warm syndrome control, blast control, oxygen enrichment control, steam humidification control, injecting coal quantity control, coal powder injection rate-controlling, pressure-controlling.Described CO 2Discharging reporting system 10 is mainly the blast furnace actual production provides real-time CO 2Emissions data and corresponding optimization are assessed.
Description of drawings
Fig. 1 is blast furnace CO 2The discharging intelligent optimizing control system is formed synoptic diagram, blast furnace CO among the figure 2The Emission Optimization computingmachine 1, feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6, basic automatization system 7, blast furnace production process 8, production data acquisition system 9, CO 2Discharging reporting system 10, DB 11.
Fig. 2 is blast furnace CO 2The Emission Optimization software module synoptic diagram.Production data reception and memory module 12, objective function parameter calculating module 13, constraint condition computing module 14, CO among the figure 2The Emission Optimization problem solver module 15, parameter output module 16.
Embodiment
A kind of blast furnace CO of the present invention 2The discharging intelligent optimizing control system is by blast furnace CO 2The Emission Optimization computingmachine 1, feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6, basic automatization system 7, blast furnace production process 8, production data acquisition system 9, CO 2Discharging reporting system 10, DB 11 are formed; It is characterized in that blast furnace CO 2The Emission Optimization computingmachine 1 and DB 11 constitute blast furnace CO 2Reduce discharging Optimization Platform; Production data acquisition system 9 links to each other 6 with blast furnace production process 8, basic automatization system 7, feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system; Gather blast furnace ironmaking procedural information and parameter information in real time, and import DB into through network; Blast furnace CO 2The Emission Optimization computingmachine 1 connects feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, coal powder injection system 6 through network, and each system links to each other with basic automatization system 7 and constitutes blast furnace CO 2The The Emission Optimization system, control blast furnace production process 8; Blast furnace CO 2The Emission Optimization computingmachine 1 is gone back and CO 2Discharging reporting system 10 links to each other, as blast furnace CO 2The discharging Evaluation Platform.
Production data acquisition system 9 is equipped in high furnace control system, the blast-furnace body, obtains system processing parameter, crude fuel parameter and product quality parameters in the blast furnace ironmaking production process, and the supplemental characteristic of gathering is sent to DB 11.Blast furnace CO 2The Emission Optimization computingmachine 1 extracts required parameter information from DB 11, concrete parameter type is by blast furnace CO 2The blast furnace CO that The Emission Optimization computingmachine 1 is set up 2The The Emission Optimization software module is confirmed.Blast furnace CO 2The blast furnace CO that the The Emission Optimization system is set up 2The The Emission Optimization model, as follows:
CO 2The The Emission Optimization objective function:
Figure BDA0000177441383
Wherein x representes the selected CO in the blast furnace production process that influences 2The influence factor variable of discharging comprises crude fuel parameter, control process parameters, product quality parameters, other parameters, x iRepresent i variable; C representes to influence in the blast furnace production process CO 2The factor of influence of variable, C iExpression variable x iFactor of influence.To typical blast furnace ironmaking operation, the crude fuel parameter is elected as: agglomerate consumption x 1, pellet consumption x 2, rawore 1 (natural ore deposit) consumption x 3, rawore 2 (mixing ore deposit) consumption x 4, coke consumption x 5, injecting coal quantity x 6, coke-oven gas consumption x 7, blast furnace gas consumption x 8Control process parameters is elected as: air blast parameter (air quantity x 9, wind-warm syndrome x 10, rheumatism x 11, oxygen enrichment percentage x 12), basicity of slag x 13, charging moisture x 14, CO in the coal gas 2Content x 15Product quality parameters: blast furnace gas generating capacity x 16, slag amount x 17, Dust Capacity x 18, the pig iron contains Fe amount x 19, pig iron C content x 20, pig iron si content x 21, the pig iron contains Mn amount x 22, pig iron P content x 23, the pig iron contains S amount x 24Other parameters: blast furnace gas yield x 25, CO 2Discharging amount of collected x 26The CO of each parametric variable wherein 2The discharging factor of influence shows as: raw material CO 2Discharging factor of influence=raw material C content * 44/12; Fuel C O 2Discharging factor of influence=(remove CO in the by-product gas 2Outer each carbonaceous component) * 44 * 10/22.4; Pig iron CO 2Discharging factor of influence=C content * 1t * 44/12; Dust CO 2Discharging factor of influence=dust C content * 44/12; CO2 amount of collected discharging factor of influence=-1; The CO of all the other parameters 2The discharging factor of influence is a fixed value, releases according to blast furnace production material, thermal equilibrium and actual production data.
Bound for objective function is
Figure BDA0000177441384
A in the formula I, jX when representing j constraint condition iCoefficient, A jBinding occurrence for target.Constraint condition can be divided into balance constraint and process constraint, and concrete constraint condition is: the balance constraint comprises (quantity of slag balance, blast furnace gas generating capacity, blast furnace thermal equilibrium, element (Fe, C, S, P) balance, material balance); Process constraint comprises (basicity of slag constraint, the constraint of slag MgO content, the constraint of the pig iron (C, Si) content, slag amount constraint, throat temperature, the constraint of ejection coal dust amount, throat temperature constraint).
Concrete calculating is as follows:
(1) at first gathers blast furnace ironmaking actual production data, obtain raw material carbon content, fuel gas composition and blast furnace production constraint condition that blast furnace is produced.Partial data is shown in table 1, table 2.
(2), calculate the objective function variation coefficient, enumerate part constraint condition and equilibrium conditions calculation formula according to table 1, table 2:
Part objective function variation coefficient:
C 1=0.5%×44/12=0.018?；
C 2=C 3=C 4=0?；
C 5=3.130，C 6=2.851?；
C 7=0.646，C 8=0.524?；
Other parameters like the coefficient of operating procedure parameter and product quality parameters, can be released each control process parameters and product quality parameters and CO through material balance, the thermal equilibrium isoequilibrium condition in the blast furnace production process 2Relational expression between the discharging utilizes blast furnace production history data to obtain again.
Part constraint condition formula is following:
Basicity of slag constraint: 1 ≦ x 13≦ 1.3;
Pig iron C content: x 20=4;
Partial equilibrium constraint calculation formula is following:
Fe element balance: (x 1+ x 2+ x 3+ x 4) * Fe content=(x 18+ x 19) * Fe content;
Quantity of slag balance: (x 1+ x 2+ x 3+ x 4) * CaO content-x 18* CaO content=x 17* CaO content;
Blast furnace gas generating capacity: x 16* (CO 2+ CO+CH4) * 12/22.4=(x 1+ x 2+ x 3+ x 4+ x 5+ x 6) * C content-x 18* C content-1t * x 20
(3) constitute blast furnace CO2 The Emission Optimization model by the objective function constraints, with CO 2Quantity discharged is minimum to be found the solution for target is optimized, and utilizes linear programming method solving-optimizing model, draws minimum CO 2Crude fuel parameter during discharging, control process parameters, product quality parameters optimum value.Blast furnace actual operation parameters data and parameters optimization data are as shown in table 3.
Blast furnace CO 2The Emission Optimization computingmachine 1 will be found the solution the optimum value that draws and sent to feeding control system 2, blast-furnace body system 3, Control System of Airheater 4, blast furnace blast system 5, the coal powder injection system 6 controlled variable optimal setting as high furnace control system; Each high furnace control system instructs 7 pairs of blast furnace production process of basic automatization system to be optimized control according to set(ting)value, thereby reaches CO 2Reduce discharging the target of optimizing.
Blast furnace CO 2The Emission Optimization computingmachine 1 utilizes real-time production data of the blast furnace in the DB 11 and blast furnace CO 2The Emission Optimization software calculates real-time CO in the blast furnace ironmaking production process 2Quantity discharged is sent to CO 2Discharging reporting system 10 is to the real-time CO of blast furnace 2Statistics and analysis is carried out in discharging.
Table 1 crude fuel carbon content
Kind Unit (%)
Agglomerate carbon residue content 0.5
Pellet carbon residue content 0
Natural ore deposit carbon residue content 0
Mix ore deposit carbon residue content 0
The coke carbon content 85.36
The Coal powder spray carbon content 70.39
Coke-oven gas (CO, CH4) volume(tric)fraction 32.887
Blast furnace gas (CO, CH4) volume(tric)fraction 26.676
Table 2 blast furnace production constraint condition
Title Unit Constraint condition
Basicity of slag - 1～1.3
Pig iron C content % 4.0
Pig iron si content % 0.2～1.0
Slag MgO content % 10～12
Throat temperature ℃ 100～300
Table 3 blast furnace CO 2The Emission Optimization model optimization variable and actual value, optimal value
Figure BDA0000177441385

Claims (2)

1. blast furnace CO 2The discharging intelligent optimizing control system comprises blast furnace CO 2The Emission Optimization computingmachine (1), feeding control system (2), blast-furnace body system (3), Control System of Airheater (4), blast furnace blast system (5), coal powder injection system (6), basic automatization system (7), blast furnace production process (8), production data acquisition system (9), CO 2Discharging reporting system (10), DB (11); It is characterized in that blast furnace CO 2The Emission Optimization computingmachine (1) links to each other with DB (11), constitutes blast furnace CO 2Reduce discharging Optimization Platform; Production data acquisition system (9) links to each other with blast furnace production process (8), basic automatization system (7), feeding control system (2), blast-furnace body system (3), Control System of Airheater (4), blast furnace blast system (5), coal powder injection system (6) respectively; Gather the blast furnace ironmaking process data in real time, and import data into DB (11) through network; Blast furnace CO 2The Emission Optimization computingmachine (1) is connected with feeding control system (2), blast-furnace body system (3), Control System of Airheater (4), blast furnace blast system (5), coal powder injection system (6) respectively through network, and feeding control system (2), blast-furnace body system (3), Control System of Airheater (4), blast furnace blast system (5), common linking to each other with basic automatization system (7) of coal powder injection system (6) constitute blast furnace CO 2The The Emission Optimization system, the control blast furnace production process; Blast furnace CO 2The Emission Optimization computingmachine (1) is gone back and CO 2Discharging reporting system (10) links to each other, as blast furnace CO 2The discharging Evaluation Platform;
Blast furnace CO 2Set up promising blast furnace CO in the The Emission Optimization computingmachine (1) 2Emission control systems provides the blast furnace CO of guidance 2The The Emission Optimization software module.
2. blast furnace CO according to claim 1 2The discharging intelligent optimizing control system is characterized in that described CO 2The The Emission Optimization software module comprises: production data reception and memory module (12), objective function parameter coefficients calculation block (13), constraint condition computing module (14), CO 2The Emission Optimization problem solver module (15), parameter output module (16); Production data receives and is connected with objective function parameter coefficients calculation block (13), constraint condition parameter calculating module (14) with memory module (12); Common and the CO of objective function parameter coefficients calculation block (13), constraint condition computing module (14) 2The Emission Optimization problem solver module (15) links to each other, CO 2The Emission Optimization problem solver module (15) links to each other with parameter output module (16); Production data receives and memory module (12) is responsible for receiving the various supplemental characteristics from the blast furnace ironmaking production process in the DB (11); And data are carried out pre-treatment and normalization method; Objective function parameter coefficients calculation block (13) constraints computing module (14) is according to the pretreated data of process; Calculate parameter coefficient constraints, CO 2The Emission Optimization problem solver module (15) is found the solution the objective function constraints equation that is made up of parameter, parameter coefficient constraints, obtains with CO 2The discharging minimum is optimized parameter optimization value, and through parameter output module (16) output.
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CN106480248A (en) * 2015-08-31 2017-03-08 鞍钢股份有限公司 Blast furnace operation method using dust, mud, iron and carbon balls as partial furnace burden
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CN110210678B (en) * 2019-06-06 2021-12-14 中国环境科学研究院 Optimization method for mobile source emission standard upgrade path
CN113219932A (en) * 2021-06-02 2021-08-06 内蒙古自治区计量测试研究院 Digital analytic system of thermal power trade carbon emission
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