CN102703626B - 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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CN102703626B
CN102703626B CN201210204448.6A CN201210204448A CN102703626B CN 102703626 B CN102703626 B CN 102703626B CN 201210204448 A CN201210204448 A CN 201210204448A CN 102703626 B CN102703626 B CN 102703626B
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blast furnace
control system
emission
parameter
blast
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CN102703626A (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 2discharge intelligent optimizing control system
Technical field
The invention belongs to energy Conservation of Blast Furnace and reduce discharging control techniques field.Be particularly related to a kind of blast furnace CO 2discharge intelligent optimizing control system.
Technical background
Iron and steel enterprise is the industry to greenhouse gas emission control effect maximum, and its greenhouse gas emission is mainly with CO 2discharge is main.In the carbon emission of China's Iron And Steel Industry, more than 95% carbon emission all comes from energy consumption.Utilize energy-conserving and emission-cutting technology to reduce CO 2discharge, the most feasible also the most effectively reduction of discharging measure be to reduce process energy consumption.Blast furnace ironmaking operation is as the highest operation of energy consumption in Iron and Steel Production operation, and its energy consumption proportion accounts for the 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 blast furnace ironmaking actual production process, 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 maintain 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 discharge is many, and there is no rational mathematical model, therefore in actual production also seldom CO 2discharge index is directly combined in control program 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 intelligent control system to control blast-furnace smelting " (CN02137568.1), the optimal control that can find out current blast furnace is mainly the multiple-objection optimization of carrying out for energy consumption, output and quality product, by different optimization aim is set up to Optimized model, utilize computer to be optimized to solve and help to strengthen operational management and the control of blast furnace, realize low consumption, high yield and high-quality in production process.But these technical publicationss all do not have from optimizing CO 2the angle of discharge is set up blast furnace production process CO 2the Emission Optimization model, also just cannot realize the CO of blast furnace production process 2the control of discharge.
Study at present blast furnace CO 2the method of calculation of discharge mainly contain two classes, and a class is based on carbon element balance in blast furnace production process, utilize the carbon element input of blast furnace to deduct the CO that fixed carbon content calculates blast furnace generation 2quantity discharged, this account form is not considered factor and the product carbon discount that fixation of C loss, blast furnace gas are recycled in computation process, so result is higher.One class is by calculating energy expenditure in blast furnace production process, utilizing blast furnace energy expenditure to be converted into standard coal consumption, then the CO of the unit's of utilization standard coal burning 2amount is calculated the CO of whole blast furnace production process 2quantity discharged, in actual production process, different steel mills energy structure is different, and secondary energy utilization ratio is not identical yet, causes like this energy consumption and the CO of blast furnace ton iron 2discharge exists and changes inconsistent situation, so calculation result can not truly reflect CO 2discharge.In fact these account forms have departed from blast furnace actual production process, therefore cannot realize blast furnace CO 2the optimization of discharge.At present for blast furnace production process CO 2the Modeling optimization of discharge, what mainly take is Process Integrated Methodology.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 peak is full. research and the application of blast furnace ironmaking process Model for Multi-Objective Optimization. and 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 discharge, by the Optimization Solution of model, can draw minimum CO in blast furnace production process 2optimization raw material during discharge forms 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 impact of discharge, so optimum result is that desirable raw materials for production form and produce product parameters, cannot provide CO to the Controlling System of blast furnace production process 2the Emission Optimization is controlled reference.Therefore want to realize blast furnace CO 2accurate calculating and the optimal control of discharge, must, in conjunction with blast furnace production technique, consider to affect blast furnace ironmaking production process CO 2the various parameters that affect of discharge, set up blast furnace production process CO 2the Emission Optimization model, for CO 2discharge minimum Optimization Solution, provide 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 2discharge intelligent optimizing control system, adopts advanced measuring technology, field bus technique, Process Integrated Methodology and intelligent control technology.First according to the work characteristics of Iron And Steel Industry blast furnace ironmaking operation, study energy flow, material stream and processing parameter and CO in blast furnace process 2the relation of discharge.Adopt advanced measuring technology, obtain relevant control processing parameter and crude fuel parameter, product quality parameters, emission source data, and data are normalized.Utilize Process Integrated Methodology, Analysis for CO 2reduce discharging objective function and final condition thereof, realize take reducing discharging as controlling the CO of iron and steel enterprise of target 2discharge dynamic modeling.By the CO of iron and steel enterprise 2the Emission Optimization model can calculate blast furnace production process CO 2discharge and generate discharge report.Simultaneously according to CO 2quantity discharged minimum is optimal control target function, and model is optimized and is solved, and obtains the optimal control parameter set(ting)value that energy saving of system reduces discharging, and realizes CO 2the intelligent optimization reducing discharging is controlled.While Real-time Obtaining blast furnace ton iron CO in optimizing process 2discharge report.
What the present invention proposed is for CO 2discharge is the blast furnace production process Optimal Control System of optimization aim, is CO with current Blast Furnace Intelligent Controlling System and blast furnace smelting expert system difference 2discharge is optimized as objective function, by CO 2discharge index realizes production process optimization as controlled variable and controls.Secondly the calculating blast furnace CO setting up 2what discharge method was taked is blast furnace carbon element balance, but different from current traditional calculations carbon element balance method is in computation process, to have considered that carbon loss, blast furnace gas reclaim and product carbon discount, has also utilized blast furnace production process CO2 discharge actual monitoring data simultaneously.The blast furnace CO that this patent is set up 2the Emission Optimization model, the 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. 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 process integration modeling method, but with these document differences be this patent by the control processing parameter in blast furnace production process to CO 2the influence factor of discharge adds among model, therefore can provide CO in blast furnace actual production process 2the Emission Optimization is controlled processing parameter optimum value.
The present invention includes blast furnace CO 2the Emission Optimization computer 1, feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6, Basic automation control system 7, blast furnace production process 8, production data acquisition system 9, CO 2discharge reporting system 10, database 11.Blast furnace CO 2the Emission Optimization computer 1 is connected with database 11, forms blast furnace CO 2the Emission Optimization platform; Production data acquisition system 9 is connected with blast furnace production process 8, Basic automation control system 7, feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6 respectively, Real-time Collection blast furnace ironmaking process data, and import data into database 11 by network; Blast furnace CO 2the Emission Optimization computer 1 is connected with feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6 respectively by network, and feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6 are jointly connected with Basic automation control system 7 and form blast furnace CO 2the Emission Optimization Controlling System, controls blast furnace production process; Blast furnace CO 2the Emission Optimization computer 1 is gone back and CO 2discharge reporting system 10 is connected, as blast furnace CO 2emission evaluation platform.
Described blast furnace CO 2in the Emission Optimization computer 1, set up promising blast furnace CO 2emission control systems provides the blast furnace CO of guidance 2the Emission Optimization software module, realizes blast furnace production process CO 2the optimization of discharge, and optimization CO is provided 2blast furnace CO during discharge 2the control parameter of emission control systems.
Described blast furnace CO 2the 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; Common and the CO of objective function parameter coefficients calculation block 13, constraint condition computing module 14 2the Emission Optimization problem solver module 15 is connected, CO 2the Emission Optimization problem solver module 15 is connected with parameter output module 16.Production data receives and memory module 12 is responsible for receiving from the various supplemental characteristics in blast furnace ironmaking production process in database 11, data are carried out to pre-treatment and normalization method, objective function parameter coefficients calculation block 13 and constraint condition computing module 14 are according to the pretreated data of process, calculate parameter coefficient peace treaty bundle condition, CO 2the Emission Optimization problem solver module 15 solves objective function and the constraining equation consisting of parameter, parameter coefficient peace treaty bundle condition, obtains with CO 2discharge minimum is optimized parameter optimization value, and by 16 outputs of parameter output module.
Its blast furnace CO 2the blast furnace CO that the Emission Optimization software module is set up 2the Emission Optimization model, need to be on affecting CO 2the data such as the crude fuel parameter of discharge, operating parameters, product quality parameters, be normalized, and calculating parameter are to CO 2discharge influence coefficient, sets up blast furnace CO 2the Emission Optimization model.This model major function comprises, by Real-time Obtaining blast furnace production process data and control supplemental characteristic, calculates CO 2discharge, sets up CO 2discharge minimum optimization aim, take and produce matter energy balance and technique is constraint condition, solve optimization numerical solution, for Controlling System provides real-time optimal setting.
Set up CO 2the Emission Optimization model formation is as follows:
min Σ i C i x i
In formula, x represents the selected CO in blast furnace production process that affects 2the influence factor variable of discharge, comprises crude fuel parameter, controls processing parameter, product quality parameters, other parameters, x irepresent i variable; C represents to affect in blast furnace production process CO 2the factor of influence of variable, C irepresent variable x ifactor of influence.For typical blast furnace ironmaking operation, crude fuel parameter is elected as: agglomerate consumption x 1, pellet consumption x 2, the natural ore deposit of rawore 1() 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 8; Control processing parameter 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 coal gas 2content x 15; Product quality parameters: blast furnace gas generating capacity x 16, slag amount x 17, Dust Capacity x 18, the pig iron is containing Fe amount x 19, pig iron C content x 20, pig iron si content x 21, the pig iron is containing Mn amount x 22, pig iron P content x 23, the pig iron is containing S amount x 24; Other parameters: blast furnace gas yield x 25, CO 2discharge amount of collected x 26.The CO of each parametric variable wherein 2discharge factor of influence shows as: raw material CO 2discharge factor of influence=raw material C content * 44/12; Fuel C O 2discharge factor of influence=(remove CO in by-product gas 2outer each carbonaceous component) * 44 * 10/22.4; Pig iron CO 2discharge factor of influence=pig iron C content * 1t * 44/12; Dust CO 2discharge factor of influence=dust C content * 44/12; CO2 amount of collected discharge factor of influence=-1; The CO of all the other parameters 2discharge factor of influence is fixed value, according to blast furnace production material, thermal equilibrium and actual production data, releases.
Bound for objective function is
Figure BDA0000177441382
A in formula i,jx while representing j constraint condition icoefficient, A jbinding occurrence for target.Constraint condition can be divided into Constraints of Equilibrium and process constraint, and concrete constraint condition is: Constraints of Equilibrium 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 Emission Optimization Controlling System is to utilize blast furnace CO 2the optimized operation parameter that the Emission Optimization computer 1 provides, for blast furnace CO 2corresponding Controlling System is set up in discharge: feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6.Blast furnace CO 2basic automatization corresponding to the Emission Optimization Controlling System controlled and comprised that loading sequence is controlled, batch weight/proportioning/load/basicity is controlled, coke moisture revisal is controlled, 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 2discharge reporting system 10 is mainly blast furnace actual production provides real-time CO 2emissions data and corresponding optimization are assessed.
Accompanying drawing explanation
Fig. 1 is blast furnace CO 2discharge intelligent optimizing control system forms schematic diagram, blast furnace CO in figure 2the Emission Optimization computer 1, feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6, Basic automation control system 7, blast furnace production process 8, production data acquisition system 9, CO 2discharge reporting system 10, database 11.
Fig. 2 is blast furnace CO 2the Emission Optimization software module schematic diagram.Production data reception and memory module 12, objective function parameter calculating module 13, constraint condition computing module 14, CO in figure 2the Emission Optimization problem solver module 15, parameter output module 16.
Embodiment
A kind of blast furnace CO of the present invention 2discharge intelligent optimizing control system, by blast furnace CO 2the Emission Optimization computer 1, feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6, Basic automation control system 7, blast furnace production process 8, production data acquisition system 9, CO 2discharge reporting system 10, database 11 form; It is characterized in that blast furnace CO 2the Emission Optimization computer 1 and database 11, form blast furnace CO 2reduce discharging Optimization Platform; Production data acquisition system 9 is connected 6 with blast furnace production process 8, Basic automation control system 7, feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System, Real-time Collection blast furnace ironmaking procedural information and parameter information, and import database into by network; Blast furnace CO 2the Emission Optimization computer 1 connects feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6 by network, and each Controlling System is connected with Basic automation control system 7 and forms blast furnace CO 2the Emission Optimization Controlling System, controls blast furnace production process 8; Blast furnace CO 2the Emission Optimization computer 1 is gone back and CO 2discharge reporting system 10 is connected, as blast furnace CO 2emission evaluation platform.
Production data acquisition system 9 is equipped in high furnace control system, blast-furnace body, obtains Controlling System processing parameter, crude fuel parameter and product quality parameters in blast furnace ironmaking production process, and the supplemental characteristic of collection is sent to database 11.Blast furnace CO 2the Emission Optimization computer 1 extracts required parameter information from database 11, and design parameter type is by blast furnace CO 2the blast furnace CO that the Emission Optimization computer 1 is set up 2the Emission Optimization software module is determined.Blast furnace CO 2the blast furnace CO that the Emission Optimization Controlling System is set up 2the Emission Optimization model, as follows:
CO 2the Emission Optimization objective function:
Figure BDA0000177441383
Wherein x represents the selected CO in blast furnace production process that affects 2the influence factor variable of discharge, comprises crude fuel parameter, controls processing parameter, product quality parameters, other parameters, x irepresent i variable; C represents to affect in blast furnace production process CO 2the factor of influence of variable, C irepresent variable x ifactor of influence.For typical blast furnace ironmaking operation, crude fuel parameter is elected as: agglomerate consumption x 1, pellet consumption x 2, the natural ore deposit of rawore 1() 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 8; Control processing parameter 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 coal gas 2content x 15; Product quality parameters: blast furnace gas generating capacity x 16, slag amount x 17, Dust Capacity x 18, the pig iron is containing Fe amount x 19, pig iron C content x 20, pig iron si content x 21, the pig iron is containing Mn amount x 22, pig iron P content x 23, the pig iron is containing S amount x 24; Other parameters: blast furnace gas yield x 25, CO 2discharge amount of collected x 26.The CO of each parametric variable wherein 2discharge factor of influence shows as: raw material CO 2discharge factor of influence=raw material C content * 44/12; Fuel C O 2discharge factor of influence=(remove CO in by-product gas 2outer each carbonaceous component) * 44 * 10/22.4; Pig iron CO 2discharge factor of influence=C content * 1t * 44/12; Dust CO 2discharge factor of influence=dust C content * 44/12; CO2 amount of collected discharge factor of influence=-1; The CO of all the other parameters 2discharge factor of influence is fixed value, according to blast furnace production material, thermal equilibrium and actual production data, releases.
Bound for objective function is
Figure BDA0000177441384
A in formula i,jx while representing j constraint condition icoefficient, A jbinding occurrence for target.Constraint condition can be divided into Constraints of Equilibrium and process constraint, and concrete constraint condition is: Constraints of Equilibrium 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).
Shown in being specifically calculated as follows:
(1) first gather 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 as shown in table 1, table 2.
(2), according to table 1, table 2, calculate objective function variation coefficient, enumerate partially restrained condition and equilibrium conditions calculation formula:
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, as the coefficient of Operating parameters and product quality parameters, can, by material balance, thermal equilibrium isoequilibrium condition in blast furnace production process, release and respectively control processing parameter and product quality parameters and CO 2relational expression between discharge, recycling blast furnace production history data are obtained.
Partially restrained condition formula is as follows:
Basicity of slag constraint: 1≤x 13≤ 1.3;
Pig iron C content: x 20=4;
Partial equilibrium constraint calculation formula is as follows:
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) by objective function and constraint condition, form blast furnace CO2 the Emission Optimization model, with CO 2quantity discharged is minimum to be solved for target is optimized, and utilizes linear programming method solving-optimizing model, draws minimum CO 2crude fuel parameter during discharge, control processing parameter, 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 computer 1 sends to feeding control system 2, blast-furnace body Controlling System 3, Control System of Airheater 4, blast furnace blast Controlling System 5, coal powder injection Controlling System 6 as the control parameter optimal setting of high furnace control system using solving the optimum value drawing, each high furnace control system instructs 7 pairs of blast furnace production process of Basic automation control 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 computer 1 utilizes the real-time production data of the blast furnace in database 11 and blast furnace CO 2the Emission Optimization software, calculates real-time CO in blast furnace ironmaking production process 2quantity discharged, is sent to CO 2discharge reporting system 10, to the real-time CO of blast furnace 2statistics and analysis is carried out in discharge.
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
Coke carbon content 85.36
Coal powder spray carbon content 70.39
Coke-oven gas (CO, CH4) volume fraction 32.887
Blast furnace gas (CO, CH4) volume 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 (1)

1. a blast furnace CO 2discharge intelligent optimizing control system, comprises blast furnace CO 2the Emission Optimization computer (1), feeding control system (2), blast-furnace body Controlling System (3), Control System of Airheater (4), blast furnace blast Controlling System (5), coal powder injection Controlling System (6), Basic automation control system (7), blast furnace production process (8), production data acquisition system (9), CO 2discharge reporting system (10), database (11); It is characterized in that blast furnace CO 2the Emission Optimization computer (1) is connected with database (11), forms blast furnace CO 2reduce discharging Optimization Platform; Production data acquisition system (9) is connected with blast furnace production process (8), Basic automation control system (7), feeding control system (2), blast-furnace body Controlling System (3), Control System of Airheater (4), blast furnace blast Controlling System (5), coal powder injection Controlling System (6) respectively, Real-time Collection blast furnace ironmaking process data, and import data into database (11) by network; Blast furnace CO 2the Emission Optimization computer (1) is connected with feeding control system (2), blast-furnace body Controlling System (3), Control System of Airheater (4), blast furnace blast Controlling System (5), coal powder injection Controlling System (6) respectively by network, and feeding control system (2), blast-furnace body Controlling System (3), Control System of Airheater (4), blast furnace blast Controlling System (5), coal powder injection Controlling System (6) are jointly connected with Basic automation control system (7) and form blast furnace CO 2the Emission Optimization Controlling System, controls blast furnace production process; Blast furnace CO 2the Emission Optimization computer (1) is gone back and CO 2discharge reporting system (10) is connected, as blast furnace CO 2emission evaluation platform;
Blast furnace CO 2in the Emission Optimization computer (1), set up promising blast furnace CO 2emission control systems provides the blast furnace CO of guidance 2the Emission Optimization software module;
Described CO 2the Emission Optimization software module comprises: production data reception and memory module (12), objective function parameter coefficients calculation block (13), constraint condition parameter calculating 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) and constraint conditional parameter computing module (14) 2the Emission Optimization problem solver module (15) is connected, CO 2the Emission Optimization problem solver module (15) is connected with parameter output module (16); Production data receives and memory module (12) is responsible for receiving the various supplemental characteristics from blast furnace ironmaking production process in database (11), and data are carried out to pre-treatment and normalization method, objective function parameter coefficients calculation block (13) and constraint conditional parameter computing module (14) are according to the pretreated data of process, calculate parameter coefficient peace treaty bundle condition, CO 2the Emission Optimization problem solver module (15) solves objective function and the constraining equation consisting of parameter, parameter coefficient peace treaty bundle condition, obtains with CO 2discharge minimum is optimized parameter optimization value, and by parameter output module (16) output;
CO 2the Emission Optimization objective function:
Figure FDA0000348338341
Wherein x represents the selected CO in blast furnace production process that affects 2the influence factor variable of discharge, comprises crude fuel parameter, controls processing parameter, product quality parameters, other parameters, x irepresent i variable; C represents to affect in blast furnace production process CO 2the factor of influence of variable, C irepresent variable x ifactor of influence; For typical blast furnace ironmaking operation, crude fuel parameter is elected as: agglomerate consumption x 1, pellet consumption x 2, rawore (1) is natural mining amount x 3, rawore (2) mixes mining amount x 4, coke consumption x 5, injecting coal quantity x 6, coke-oven gas consumption x 7, blast furnace gas consumption x 8; Control processing parameter is elected as: air blast parameter, basicity of slag x 13, charging moisture x 14, CO in coal gas 2content x 15; Product quality parameters: blast furnace gas generating capacity x 16, slag amount x 17, Dust Capacity x 18, the pig iron is containing Fe amount x 19, pig iron C content x 20, pig iron si content x 21, the pig iron is containing Mn amount x 22, pig iron P content x 23, the pig iron is containing S amount x 24; Other parameters: blast furnace gas yield x 25, CO 2discharge amount of collected x 26; The CO of each parametric variable wherein 2discharge factor of influence shows as: raw material CO 2discharge factor of influence=raw material C content * 44/12; Fuel C O 2discharge factor of influence=(remove CO in by-product gas 2outer each carbonaceous component) * 44 * 10/22.4; Pig iron CO 2discharge factor of influence=pig iron C content * 1t * 44/12; Dust CO 2discharge factor of influence=dust C content * 44/12; CO2 amount of collected discharge factor of influence=-1; The CO of all the other parameters 2discharge factor of influence is fixed value, according to blast furnace production material, thermal equilibrium and actual production data, releases;
Described air blast parameter comprises air quantity x 9, wind-warm syndrome x 10, rheumatism x 11, oxygen enrichment percentage x 12;
Bound for objective function is
Figure FDA0000348338342
A in formula i,jx while representing j constraint condition icoefficient, A jbinding occurrence for target.Constraint condition can be divided into Constraints of Equilibrium and process constraint, and concrete constraint condition is:
Constraints of Equilibrium comprises quantity of slag balance, blast furnace gas generating capacity, blast furnace thermal equilibrium, element balance, material balance; Process constraint comprises basicity of slag constraint, the constraint of slag MgO content, the constraint of pig iron content, slag amount constraint, the constraint of ejection coal dust amount, throat temperature constraint;
Described element comprises Fe, C, S, P.
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