CN104268636A - Integrated blending method for sinter and ore for blast furnace - Google Patents

Abstract

The invention discloses an integrated blending method for sinter and ore for a blast furnace for iron making production and belongs to the technical field of metallurgical industry manufacturing and informatization. With an iron making technology and a blast furnace burden structure theory serving as the basis, in order to meet pre-iron-making product quality requirements and lower the production cost, a set of mathematical model for calculating blending of ore for the blast furnace and a set of mathematical model for calculating blending of sinter are established, the dynamic iterative calculation process of data interaction between the models and the adjustment strategy of man-machine interaction based on an initial scheme are given, and finally a blending scheme of the ore for the blast surface and a blending scheme of the sinter are obtained at the same time, wherein the blending schemes meet actual conditions and satisfy the quality and cost requirements. In this way, the problem that for various materials, different ingredients and different prices in iron making production, how to organize production reasonably and efficiently is solved.

Description

A kind of enter the integrated distribution of stove ore deposit and sintering deposit

Technical field

The invention belongs to metallurgy industry manufacture and informationization technology field, particularly relate to iron and steel enterprise's ironmaking link a kind of enter the integrated distribution of stove ore deposit and sintering deposit.

Background technology

Ironmaking is one of important procedure that Ferrous Metallurgy is produced, and directly has influence on the stability of the production cost of steelworks and even whole iron and steel enterprise, end product quality and production.At present, due to the fast development of domestic steel and iron industry, the contradiction of iron ore deposit shortage is outstanding day by day, ore of a great variety, iron and steel enterprise utilizes more stable raw material more and more difficult, in order to ensure to smelt iron normal operation, these iron charge resources being carried out rational ore matching, making iron charge production cost minimum and quality meets blast furnace, SINTERING PRODUCTION requires it is iron and steel whole process manufacturing enterprise problems faced always.For in the selectable situation of multiple iron-containing charge, on the basis understanding various iron-containing charge characteristic, how arranging in pairs or groups and use and could find suitable equilibrium point between the performance of optimum and least cost, is the emphasis of reasonable employment iron-containing charge.

The present invention is from iron and steel enterprise's actual production angle, according to sintering, iron-smelting process theory and material equilibrium Computing Principle, by basic ingredients calculate and burden structure aspect latest scientific research based on, set up into stove ore deposit and sintering deposit feed proportioning optimization model, in conjunction with empirical data and the actual production conditions of productive accumulation, calculate Optimum cost and the excellent proportion scheme of metallurgical performance, then by artificial adjustment, the strategies such as multi-scheme decision-making, make finally to determine burden structure economical rationality.

Summary of the invention

In order to overcome the existing drawback independently worked out into stove ore deposit batching, Sintering Blend, the invention provides a kind of enter the integrated distribution of stove ore deposit and sintering deposit, the proportion scheme that before the method can not only be met iron, product quality requires, and achieve the integration establishment of ironmaking link iron charge consumption batching plan, improve planning efficiency, reduce business administration cost.Content comprises:

(1) the present invention is according to blast furnace process requirement, in conjunction with resource situation, determines constraint condition rightly, and based on entering the raw material of stove production and application and component requirements, quality requirements sets up into stove ore deposit batching, sintered material model.To entering stove ore deposit, the most basic demand of Sintering Blend ensures product quality, namely makes the metallurgical performance of burden structure be consistent with technological requirement.After meeting this technical requirement, the target that realize reduces costs exactly.

(2) adjustment between model, iterative strategy and flow process are proposed.Enter stove ore deposit balance measuring and calculating and Sintering Blend calculate complement each other, there is mutually quoting of data.Enter the batching measuring and calculating of stove ore deposit and refer to the data such as the Sinter Component that Sintering Blend calculates out; What in Sintering Blend, part feed proportioning amount was quoted is to prepare burden the quantity calculated into stove ore deposit.Therefore, the measuring and calculating of these two parts can not independently be carried out, and both will reach rational balance, needs repeatedly to derive back and forth, until all reach respective target call (being mainly some key indexs).The data of one of them measuring and calculating change, and will affect the measuring and calculating again of another batching.The present invention with ton iron cost for target, in conjunction with some constraint conditions (mainly containing output constraint, the constraint of each signal component value, stock number constraint, Index Constraints) that actual conditions and knowwhy are set up, what obtain the key factor balances such as cost, performance, resource finally by man-machine interaction enters stove ore deposit, Sintering Blend scheme.

Concrete steps are as follows:

1, enter an integrated distribution for stove ore deposit and sintering deposit, it is characterized in that:

Step one, according to blast furnace process requirement, in conjunction with resource situation, corresponding data parameter is substituted into into stove ore deposit Alloying Ingredient Model, turns to target with cost minimization, calculate the demand of feed stock for blast furnace point kind, obtain the initial scheme into stove ore deposit batching;

The described stove ore deposit Alloying Ingredient Model that enters is

$\min Z=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{c}_i{x}_i;$

Constraint condition is:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{TFe}}_i*x_i/\mathrm{\η}=Q;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{TFe}}_i*x_i\≥A_{\mathrm{TFe}};$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{Ca}{O}_i*x_i/\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{SiO}{2}_i*x_i\≤A_R;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_i*x_i\≤A_S;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{P}_i*x_i\≤A_P;$

x _i≤X _i；

x _i≥0；

Wherein c _ibe i-th kind of price entering stove ore deposit proportion material, x _ibe the proportioning of the i-th Raw, η is ferro element value, and Q is iron output, and Z enters the cost summation of all raw materials in the batching structure of stove ore deposit; TFe _i, CaO _i, SiO2 _i, S _i, P _ibe respectively the signal component value of i-th kind of raw material; A _tFe, A _s, A _p, be respectively the binding occurrence comprehensively entering stove taste, S, P and basicity bound of compound, X _iit is the stock number of i-th kind of raw material;

Step 2, according to enter obtain in the batching results of measuring of stove ore deposit sintering deposit, pellet, rawore demand, calculate the amount of knot end, last, the mine smalls of ball.Wherein:

Rate under the required sintering deposit demand × sintering jig of stove ore deposit batching measuring and calculating is measured=is entered at knot end;

Rate under the required pellet demand × pelletizing jig of stove ore deposit batching measuring and calculating is measured=is entered at ball end;

Mine smalls amount=enter the lower rate of the required rawore demand of stove ore deposit batching measuring and calculating × rawore sieve.

Step 3, according to sintering smelting requirements, in conjunction with resource situation, corresponding data parameter is substituted into Sintering Blend model, and brings the knot calculated in step 2 end amount, ball end amount, mine smalls amount into model simultaneously, obtain entering the Sintering Blend scheme on batching initial results basis, stove ore deposit;

Described Sintering Blend model is:

$\min Y=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{p}_i{x}_i;$

Constraint condition is:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{\mathrm{\λ}}_i*1000=W;$

$B_{\mathrm{TFe}}^L\≤\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{TFe}}_i*x_i\≤B_{\mathrm{TFe}}^U;$

$B_R^L\≤\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{Ca}{O}_i*x_i/\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{SiO}{2}_i*x_i\≤B_R^U;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_i*x_i\≤B_S;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{P}_i*x_i\≤B_P;$

x _i≤X _i；

x _i≥0；

P _ibe the price of i-th kind of sintering deposit raw material, λ _ibe the remaining of i-th kind of raw material, W is sintering output, the cost summation of all raw materials in Y Sintering Blend structure; B _s, B _p, be respectively the binding occurrence of S, P and TFe in sintering deposit, basicity bound.

Step 4, the signal component value of the output of the sintering deposit in Sintering Blend model result, taste, S, P, CaO, SiO2 to be backfilling in the Alloying Ingredient Model of stove ore deposit, again to carry out calculating into stove ore deposit Alloying Ingredient Model; Repeat step one to step 4, until obtain satisfied result;

Step 5, iron ore deposit according to iron and steel enterprise, production distribution, ore quality, ore stream and International Iron Ore stone market production and selling market, manually finely tune the scheme that step 4 obtains, tallied with the actual situation, the proportion scheme that availability is high.

The present invention is in conjunction with steel mill's reality, and design realization approach as shown in Figure 1.

The invention has the beneficial effects as follows, how rationally to be solved in ironmaking production for plurality of raw materials, different compositions, different prices by relation between Modling model and model, the tissue problem of producing efficiently, can assist planner formulate under the target such as stock, cost multiple enter the proportion scheme of stove ore deposit and sintering deposit; The work efficiency of planner can be improved, improve the strain rate effect ability that outside working condition is changed; Can provide intellectual support to ironmaking production decision-making.

Accompanying drawing illustrates:

Fig. 1 is feed proportioning optimization calculation flow chart of the present invention.

Embodiment:

Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.

The present invention propose a kind of enter the integrated distribution of stove ore deposit and sintering deposit, embodiment is described in detail as follows:

With the furnace charge data instance of certain steel mill's blast furnace domestic, sintering actual production.Table 1 is blast furnace foundation tables of data:

Table 1 blast-furnace burden chemical composition

Table 2 is raw materials for sintering base data table:

Table 2 sintered material chemical composition

Raw material	Fe％	Si02％	Ca0％	Mg0％	Al203％	Remaining %	S％	P％
									Peru's fine powder	69.50	1.75	0.04	0.08	0.28	101.00	0.04	0.08
Local powder	64.05	7.00	0.26	0.25	1.04	101.00	0.05	0.05
									Korea's powder	51.32	9.00	0.17	0.50	0.37	97.00	0.17	0.07
Australia's powder	61.60	4.00	0.18	0.12	2.21	96.50	0.08	0.02
									Raise ground powder	57.00	5.35	0.21	0.10	1.45	90.00	0.03	0.01
Hair tower powder	61.76	9.38	2.39	0.43	1.10	98.00	0.02	0.09
									Trade powder	55.00	7.00	0.18	0.10	1.50	93.00	0.20	0.10
South Africa powder	64.75	4.20	1.43	0.07	1.84	100.00	0.03	0.02
									Mill scale	70.00	1.89	0.50	0.21	0.00	101.00	0.11	0.15
Lime stone	0.00	4.00	46.50	5.32	0.44	55.00	0.00	0.00
									OG mud	45.00	2.70	13.50	2.30	1.00	88.00	0.00	0.00
Knot end	56.00	5.40	0.00	2.20	1.90	100.00	0.02	0.08
									Ball end	65.00	4.00	0.50	0.50	0.90	100.00	0.02	0.06
Australia end	62.00	3.60	0.05	0.10	2.30	95.25	0.00	0.01
									Coke powder	0.00	47.50	4.00	0.60	35.00	18.50	0.00	0.00
Stone coal	0.00	55.12	8.11	1.58	18.17	21.20	0.28	0.00

Step one, based on entering the raw material of stove production and application and component requirements, quality requirements sets up into stove ore deposit Alloying Ingredient Model.Get A _tFe=57.5, A _s=0.03, A _p=0.11, enter stove ore deposit Alloying Ingredient Model and turn to target with cost minimization, calculate the demand of feed stock for blast furnace point kind.

Step 2, according to enter obtain in the batching results of measuring of stove ore deposit sintering deposit, pellet, rawore demand, calculate the amount of knot end, last, the mine smalls of ball.Wherein:

Rate=94.1 × 17% under the required sintering deposit demand × sintering jig of stove ore deposit batching measuring and calculating is measured=is entered at knot end;

Rate=30 × 4% under the required pellet demand × pelletizing jig of stove ore deposit batching measuring and calculating is measured=is entered at ball end;

Mine smalls amount=enter lower rate=3.5 × 15% of the required rawore demand of stove ore deposit batching measuring and calculating × rawore sieve.

Step 3, by required knot end amount, ball end amount, mine smalls amount brings model into, gets B _s=0.05, B _p=0.08, obtain entering the Sintering Blend scheme on batching initial results basis, stove ore deposit;

Step 4, the signal component value of the output of the sintering deposit in Sintering Blend model result, taste, S, P, CaO, SiO2 to be backfilling in the Alloying Ingredient Model of stove ore deposit, again to carry out calculating into stove ore deposit Alloying Ingredient Model; Repeat step one to step 4, until obtain satisfied result;

Step 5, iron ore deposit according to iron and steel enterprise, production distribution, ore quality, ore stream and International Iron Ore stone market production and selling market, manually finely tune the scheme that step 4 obtains, tallied with the actual situation, the proportion scheme that availability is high

The key index contrast of the scheme (scheme two) obtained after the proportion scheme (scheme one) calculated first, finally adjustment is as follows:

Claims (1)

1. enter an integrated distribution for stove ore deposit and sintering deposit, it is characterized in that:

Step one, according to blast furnace process requirement, in conjunction with resource situation, corresponding data parameter is substituted into into stove ore deposit Alloying Ingredient Model, turns to target with cost minimization, calculate the demand of feed stock for blast furnace point kind, obtain the initial scheme into stove ore deposit batching;

The described stove ore deposit Alloying Ingredient Model that enters is

$\min Z=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{c}_i{x}_i;$

Constraint condition is:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{TFe}}_i*x_i/\mathrm{\η}=Q;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{TFe}}_i*x_i\≥A_{\mathrm{TFe}};$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{Ca}{O}_i*x_i/\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{SiO}{2}_i*x_i\≤A_R;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_i*x_i\≤A_S;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{P}_i*x_i\≤A_P;$

x _i≤X _i；

x _i≥0；

Wherein c _ibe i-th kind of price entering stove ore deposit proportion material, x _ibe the proportioning of the i-th Raw, η is ferro element value, and Q is iron output, and Z enters the cost summation of all raw materials in the batching structure of stove ore deposit; TFe _i, CaO _i, SiO2 _i, S _i, P _ibe respectively the signal component value of i-th kind of raw material; A _tFe, A _s, A _p, be respectively the binding occurrence comprehensively entering stove taste, S, P and basicity bound of compound, X _iit is the stock number of i-th kind of raw material;

Step 2, according to enter stove ore deposit batching results of measuring in obtain sintering deposit, pellet, rawore demand, calculate knot end amount, ball end amount, mine smalls amount; Wherein:

Rate under the required sintering deposit demand × sintering jig of stove ore deposit batching measuring and calculating is measured=is entered at knot end;

Rate under the required pellet demand × pelletizing jig of stove ore deposit batching measuring and calculating is measured=is entered at ball end;

Mine smalls amount=enter the lower rate of the required rawore demand of stove ore deposit batching measuring and calculating × rawore sieve;

Step 3, according to sintering smelting requirements, in conjunction with resource situation, corresponding data parameter is substituted into Sintering Blend model, and brings the knot calculated in step 2 end amount, ball end amount, mine smalls amount into model simultaneously, obtain entering the Sintering Blend scheme on batching initial results basis, stove ore deposit;

Described Sintering Blend model is:

$\min Y=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{p}_i{x}_i;$

Constraint condition is:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{\mathrm{\λ}}_i*1000=W;$

$B_{\mathrm{TFe}}^L\≤\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{TFe}}_i*x_i\≤B_{\mathrm{TFe}}^U;$

$B_R^L\≤\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{Ca}{O}_i*x_i/\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\mathrm{SiO}{2}_i*x_i\≤B_R^U;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_i*x_i\≤B_S;$

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{P}_i*x_i\≤B_P;$

x _i≤X _i；

x _i≥0；

P _ibe the price of i-th kind of sintering deposit raw material, λ _ibe the remaining of i-th kind of raw material, W is sintering output, the cost summation of all raw materials in Y Sintering Blend structure; B _s, B _p, be respectively the binding occurrence of S, P and TFe in sintering deposit, basicity bound;

Step 4, the signal component value of the output of the sintering deposit in Sintering Blend model result, taste, S, P, CaO, SiO2 to be backfilling in the Alloying Ingredient Model of stove ore deposit, again to carry out calculating into stove ore deposit Alloying Ingredient Model; Repeat step one to step 4, until obtain satisfied result.