CN101532080A - Composition prediction device of sinter product and method thereof - Google Patents

Abstract

The invention discloses a composition prediction device which includes: a mineral composition obtaining unit, a mineral mixture ratio obtaining unit and a composition prediction unit; wherein, the mineral composition obtaining unit is used for obtaining percentage content of each composition in each mineral material; the mineral mixture ratio obtaining unit is used for obtaining total cutting flux of each mineral kind and calculating mixture ratio of each mineral material in the mixed mineral material; the composition prediction unit is used for calculating a prediction value of the percentage content of each composition in the sinter product according with the mixture ratio of each mineral material in the mixed mineral material and percentage content of each composition in each mineral material. The invention also discloses a composition prediction method of the sinter product. The method and the device can predict the component of the sinter product and increase the sinter quality.

Description

A kind of composition prediction device of agglomerate finished product and method

Technical field

The present invention relates to field of iron and steel smelting, particularly relate to a kind of composition prediction device and method of agglomerate finished product.

Background technology

With reference to Fig. 1, be sintering plant feed proportioning system process flow sheet.

The compounding plant of sintering plant is provided with several large ore grooves 1 along the amalgamation belt, is used to store the required various materials of SINTERING PRODUCTION, as concentrate, fine ore, blast furnace return mine, fuel, flux etc.Each ore deposit groove 1 finally forms the blended stock of 13 ore deposit grooves 1 to the blanking of amalgamation belt in the amalgamation strap end.The above-mentioned feed proportioning system that is commonly referred to.Feed proportioning system is controlled the blanking flow of each ore deposit groove 1 in proportion, and then is controlled sintering finished chemical ingredients according to comprehensive operational throughput.Raw material on the amalgamation belt is admitted to primary mixer 2 and second drum mixer 3 successively, after adding water and mix through twice, forms compound.Compound falls to mixing container 4 along the sintering belt, is laid on the pallet 6 through nine roller material distributing machine 5.Igniting on pallet 6, roasting form sinter.Sintering agglomerate later after broken, cooling, screening, through the finished product detection point, carries out inspection after construction, arrives finished bin 7 at last, finishes sintering process.

In actual production, need the percentage composition of some composition in the agglomerate finished product be detected, be used to judge whether the agglomerate finished product that sintering obtains is qualified, whether satisfies the requirement of sintering process.Generally the composition that need obtain comprises: TFe, SiO2, CaO, MgO, Ro etc.

In the traditional technology, to the composition of agglomerate finished product detect normally after sintering is finished, the finished product detection point that enters before the finished bin carries out.The percentage composition of the various compositions of finished product that record by the finished product detection spot check judges whether the finished product that sintering obtains satisfies processing requirement.In case find the finished product do not meet the demands, the factor that the proportioning of sintering mineral aggregate etc. is influenced component content is regulated immediately, guarantees sintering finished quality.

But by sintering process general knowledge as can be known, a certain fixed time drops on the compound on the amalgamation belt, through whole sintering flow process, arrives the finished product detection point, needs a very long time.Setting this time is the sintering period, represents with t.When certain constantly T finished product detection spot check record sintering finishedly when not meeting processing requirement, show that the proportioning that T-t drops on the compound on the amalgamation belt does not constantly meet processing requirement.Therefore, the cycle (T-t, T) in, the finished product that institute's sintering obtains all can't satisfy the requirement of technology.

From the above, traditional finished product detection has very big time delay, can not in time obtain the composition information of finished product, can't in time regulate mix material proportioning, causes fraction defective than higher, and sintering finished quality is lower.

Summary of the invention

Technical problem to be solved by this invention provides a kind of composition prediction device and method of agglomerate finished product, can realize the composition of agglomerate finished product is forecast, improves sintering finished quality.

For solving the problems of the technologies described above, the invention provides a kind of composition predictor of agglomerate finished product, described device comprises: mineral aggregate composition acquiring unit, mineral mixture ratio obtaining unit and composition forecast unit; Wherein:

Described mineral aggregate composition acquiring unit is used for obtaining the percentage composition of every kind of various compositions of mineral aggregate;

Described mineral mixture ratio obtaining unit is used to obtain total blanking flow of every kind of mineral aggregate, calculates the proportioning of every kind of mineral aggregate in the compound;

Described composition forecast unit is used for the percentage composition according to various compositions in the proportioning of every kind of mineral aggregate of compound and the every kind of mineral aggregate, calculates the predictor of various composition percentage compositions in the agglomerate finished product.

Preferably, described mineral mixture ratio obtaining unit adopts following formula to calculate the proportioning of every kind of mineral aggregate in the compound:

$R_i=\frac{L_i(1-W_i)}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{L}_i(1-W_i)}$

Wherein: R _iIt is the proportioning of i kind mineral aggregate; L _iIt is total blanking flow of i kind mineral aggregate; W _iIt is the water content of i kind mineral aggregate; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

Preferably, described composition forecast unit, adopt following formula to calculate the predictor of various composition percentage compositions in the agglomerate finished product:

$T_j=\frac{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{R}_i\·T_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{R}_i/(100-{\mathrm{Ig}}_i)\×100\%}$

Wherein: T _jPercentage composition predictor for j kind composition in the finished product; R _iIt is the proportioning of i kind mineral aggregate; T _IjIt is the percentage composition that contains j kind composition in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

Preferably, described device also comprises the drift correction unit, is used for regularly obtaining the various composition percentage composition of the finished product actual value that the finished product detection spot check records, and respectively the predictor of correspondence various composition percentage compositions is constantly revised.

Preferably, described drift correction unit employing following formula carries out drift correction:

T _{Modified value}=(T _{Actual value}+ | T _{Actual value}-T _Predictor|) * k

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value}Be various composition percentage composition actual values; T _PredictorFor with T _{Actual value}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

The present invention also provides a kind of composition forecasting procedure of agglomerate finished product, and described method comprises:

Obtain the percentage composition of various compositions in every kind of mineral aggregate;

Obtain total blanking flow of every kind of mineral aggregate, calculate the proportioning of every kind of mineral aggregate in the compound;

According to the percentage composition of various compositions in the proportioning of every kind of mineral aggregate in the compound and the every kind of mineral aggregate, calculate the predictor of various composition percentage compositions in the agglomerate finished product.

Preferably, adopt following formula to calculate the proportioning of every kind of mineral aggregate in the compound:

$R_i=\frac{L_i(1-W_i)}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{L}_i(1-W_i)}$

Wherein: R _iIt is the proportioning of i kind mineral aggregate; L _iIt is total blanking flow of i kind mineral aggregate; W _iIt is the water content of i kind mineral aggregate; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

Preferably, adopt following formula to calculate the predictor of various composition percentage compositions in the agglomerate finished product:

$T_j=\frac{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{R}_i\·T_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{R}_i/(100-{\mathrm{Ig}}_i)\×100\%}$

Wherein: T _jPercentage composition predictor for j kind composition in the finished product; R _iIt is the proportioning of i kind mineral aggregate; T _IjIt is the percentage composition that contains j kind composition in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

Preferably, the described predictor that calculates various composition percentage compositions in the agglomerate finished product further comprises afterwards:

Regularly obtain various composition percentage composition actual values in the finished product that the finished product detection spot check records, respectively the predictor of correspondence various composition percentage compositions is constantly revised.

Preferably, adopt following formula that the predictor of correspondence various composition percentage compositions is constantly revised:

T _{Modified value}=(T _{Actual value}+ | T _{Actual value}-T _Predictor|) * k

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value}Be various composition percentage composition actual values; T _PredictorFor with T _{Actual value}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

Compared with prior art, the present invention has the following advantages:

The composition predictor of agglomerate finished product of the present invention, be arranged on first assembly place, by obtaining the proportioning of every kind of mineral aggregate in the compound that drops on the amalgamation belt, in conjunction with the percentage composition of various compositions in every kind of mineral aggregate, by calculating the predictor of various composition percentage compositions in the agglomerate finished product.

Adopt device of the present invention, can be before compound enter the amalgamation belt, directly this batch compound is about to the finished product composition that sintering obtains and carries out forecast analysis, obtain the predictor of various composition percentage compositions in the finished product.When this predictor does not satisfy requiring of sintering process, in time the proportioning of each mineral aggregate in the compound is regulated.Because this first assembly place is positioned at the initiating terminal of whole sintering flow process, can reduce the time ductility of operations such as proportioning adjusting thus greatly, in time mix material proportioning to be regulated, reduction in the numbers of seconds improves sintering finished quality.

Description of drawings

Fig. 1 is a sintering plant feed proportioning system process flow sheet;

Fig. 2 is the composition prediction device structure iron of the agglomerate finished product of first embodiment of the invention;

Fig. 3 is typical feed proportioning system structure iron;

Fig. 4 is a large ore groove structure iron;

Fig. 5 is the composition predictor structure iron of the agglomerate finished product of second embodiment of the invention;

Fig. 6 is the composition forecasting procedure schema of agglomerate finished product of the present invention.

Embodiment

For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.

The composition predictor of agglomerate finished product of the present invention, be arranged on first assembly place, by obtaining the proportioning of every kind of mineral aggregate in the compound that drops on the amalgamation belt, in conjunction with the percentage composition of various compositions in every kind of mineral aggregate, by calculating the predictor of various composition percentage compositions in the agglomerate finished product.

With reference to Fig. 2, be the composition prediction device structure iron of the agglomerate finished product of first embodiment of the invention.

Referring to Fig. 1, the junction of setting amalgamation belt and primary mixer 2 is first assembly place.Composition predictor 8 is arranged on this place, first assembly place.

Composition predictor 8 comprises: mineral aggregate composition acquiring unit 801, mineral mixture ratio obtaining unit 802 and composition forecast unit 803.

Mineral aggregate composition acquiring unit 801 is used for obtaining every kind of shared percentage composition of the various compositions of mineral aggregate.

Mineral mixture ratio obtaining unit 802 is used to obtain total blanking flow of every kind of mineral aggregate, calculates the proportioning of every kind of mineral aggregate in the compound.Proportioning is every kind of percentage composition that mineral aggregate is shared in the compound.

Composition forecast unit 803 according to the percentage composition of various compositions in the proportioning of every kind of mineral aggregate in the compound and the every kind of mineral aggregate, calculates the predictor of various composition percentage compositions in the agglomerate finished product, output forecast result.

Referring to Fig. 3, be typical feed proportioning system structure iron.

Feed proportioning system shown in Figure 3 is a kind of in the used feed proportioning system of current sintering plant.In the actual sintered factory, according to producing needs, the concrete mineral aggregate kind of distributing of the number of each feed proportioning system chats groove and each ore deposit groove can be different.The present invention only is elaborated with feed proportioning system shown in Figure 3.The composition prediction device of agglomerate finished product of the present invention is suitable for but is not limited to feed proportioning system shown in Figure 3.

Feed proportioning system shown in Figure 3 comprises 22 ore deposit grooves, is respectively applied for to store the required various mineral aggregates of SINTERING PRODUCTION, comprises that concentrate, fine ore, blast furnace are returned mine, coldly returned mine, fuel, flux, dust and unslaked lime.Wherein, 1#～3# ore deposit groove is used to store concentrate, and 4#～7# ore deposit groove is used to store fine ore, or the like.

Mineral aggregate composition acquiring unit 801 is used for obtaining every kind of shared percentage composition of the various compositions of mineral aggregate.

In actual production, need obtain the percentage composition of some composition in the agglomerate finished product, be used to judge whether the agglomerate finished product that sintering obtains is qualified, whether satisfies the requirement of sintering process.Generally the composition that need obtain comprises: TFe, SiO2, CaO, MgO, Ro etc.

For example, comprise two kinds of mineral aggregate: A and B in the compound, comprise TFe, SiO2, three kinds of compositions of CaO among the mineral aggregate A.Can establish T _IjRepresent to contain in the i kind ore deposit percentage composition of j kind composition.

For example, set: the A ore deposit is the 1st kind of ore deposit, and SiO2 is the 2nd a kind of composition, and the percentage composition that then comprises SiO2 among the mineral aggregate A is T ₁₂

Before various mineral aggregates enter the ore deposit groove, need chemically examine the percentage composition of the various compositions that comprise in each mineral aggregate, obtain the shared percentage composition of each composition in every kind of mineral aggregate.

For example, before concentrate enters 1#～3# ore deposit groove, need chemically examine, determine the percentage composition of compositions such as TFe in the concentrate, SiO2, CaO, MgO, Ro concentrate.

Mineral mixture ratio obtaining unit 802 is used to obtain total blanking flow of every kind of mineral aggregate, calculates the proportioning of every kind of mineral aggregate in the compound.

In the actual production, generally obtain the blanking flow of mineral aggregate in each ore deposit groove by the blanking equipment group that is arranged on groove below, ore deposit.

With reference to Fig. 4, be large ore groove structure iron.

In the sintered material system, ore deposit groove 1 is generally formed by Plate Steel welding or concrete placement, and its top is cylindrical, and the bottom is truncated cone, is up big and down small structure.The capacity of ore storage bin is decided according to the scale of sintering plant.The discharge port below of ore deposit groove 1 is provided with blanking equipment group 9, is used to control the blanking velocity of ore deposit groove 1, satisfies the requirement of producing mineral mixture ratio.

Typical blanking equipment group comprises blanking equipment and weighing equipment.

In the actual production, the blanking flow of each blanking equipment is specifically given by the running speed of the motor of this blanking equipment of control.Motor speed height, the blanking flow of the blanking equipment corresponding with this motor are just big.The running speed of motor is corresponding one by one with the blanking flow of corresponding blanking equipment.Therefore, can set the desirable flow of each raw material in the sintering process, make the blanking flow of each blanking equipment reach set(ting)value by the rotating speed of motor of controlling each blanking equipment correspondence according to the actual needs of producing.

For same mineral, if motor speed is identical, its corresponding blanking flow is also identical.But for different mineral, because differences such as proportion, granularities, the blanking flow of same motor rotating speed correspondence is also inequality.Therefore, need to adopt weighing equipment that the actual flow of each blanking equipment is carried out on-the-spot weighing, obtain the real-time flow data of each blanking equipment.

Weighing equipment is the equipment that has LOAD CELLS, is used to obtain the real-time flow data of each blanking equipment, i.e. the blanking flow of mineral aggregate in each ore deposit groove.

Again according to the blanking flow of mineral aggregate in each the ore deposit groove that obtains in real time, total blanking flow of every kind of mineral aggregate of statistical computation, and further calculate the proportioning of every kind of mineral aggregate in the compound.

Its calculation formula is:

$R_i=\frac{L_i(1-W_i)}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{L}_i(1-W_i)}---\left(1\right)$

Wherein: R _iIt is the proportioning of i kind mineral aggregate; L _iIt is total blanking flow of i kind mineral aggregate; W _iIt is the water content of i kind mineral aggregate; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

For convenience of description, can suppose only to comprise in the feed proportioning system 5 ore deposit grooves, required mineral aggregate is A and B, i.e. n=2 respectively.Wherein 1#～3# ore deposit groove is the A ore deposit, and 4#～5# ore deposit groove is the B ore deposit.

By weighing equipment, obtain the blanking flow of each ore deposit groove in real time.Set: the blanking flow in A ore deposit is respectively L in 1#～3# ore deposit groove _A1, L _A2, L _A3The blanking flow in B ore deposit is respectively L in 4#～5# ore deposit groove _B1, L _B2Then, total blanking flow in A ore deposit and B ore deposit is respectively:

L ₁＝L _A1+L _A2+L _A3 (2)

L ₂＝L _B1+L _B2 (3)

Wherein, L ₁Total blanking flow for the A ore deposit; L ₂Total blanking flow for the B ore deposit.

The water content that obtains the A ore deposit in conjunction with chemical examination is W ₁, the B ore deposit water content be W ₂Calculate the proportioning in A ore deposit and B ore deposit respectively by following formula:

${\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="A200910134479E00171.png,A200910134479E00181.png"\; state="\{\{state\}\}">R</figure-callout>}}_1=\frac{L_1(1-W_1)}{L_1(1-W_1)+L_2(1-W_2)}---\left(4\right)$

${\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="A200910134479E00171.png"\; state="\{\{state\}\}">R</figure-callout>}}_2=\frac{L_2(1-W_2)}{L_1(1-W_1)+L_2(1-W_2)}---\left(5\right)$

Wherein, R ₁Proportioning for the A ore deposit; R ₂Proportioning for the B ore deposit.

Composition forecast unit 803 according to the percentage composition of various compositions in the proportioning of every kind of mineral aggregate in the compound and the every kind of mineral aggregate, calculates the percentage composition predictor of various compositions in the agglomerate finished product, output forecast result.

The concrete following formula that adopts calculates:

$T_j=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}---\left(6\right)$

Wherein: T _jPercentage composition predictor for j kind composition in the finished product; R _iIt is the proportioning of i kind mineral aggregate; T _IjIt is the percentage composition that contains j kind composition in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

In actual production,, generally need forecast that its concrete formula is to the percentage composition of TFe, SiO2, CaO, MgO, Ro etc. in the finished product in order to ensure final product quality:

$T_{\mathrm{Fe}}=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{iFe}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}---\left(7\right)$

In the formula: T _FePercentage composition predictor for TFe in the finished product; Ri is the proportioning of i kind mineral aggregate; T _IFeIt is the percentage composition that contains TFe in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit.

${\mathrm{<figure-callout\; id="2"\; label="T\; SiO"\; filenames="A200910134479E00171.png"\; state="\{\{state\}\}">T</figure-callout>}}_{{\mathrm{SiO}}_{}}=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{i{\mathrm{SiO}}_2}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}---\left(8\right)$

In the formula: T _SiO2Percentage composition predictor for SiO2 in the finished product; Ri is the proportioning of i kind mineral aggregate; T _ISiO2It is the percentage composition that contains SiO2 in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit.

$T_{\mathrm{CaO}}=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{iCaO}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}---\left(9\right)$

In the formula: T _CaOPercentage composition predictor for CaO in the finished product; Ri is the proportioning of i kind mineral aggregate; T _ICaOIt is the percentage composition that contains CaO in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit.

$T_{\mathrm{MgO}}=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{iMgO}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}---\left(10\right)$

In the formula: T _MgOPercentage composition predictor for MgO in the finished product; Ri is the proportioning of i kind mineral aggregate; T _IMgOIt is the percentage composition that contains MgO in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit.

T _Ro＝T _CaO/T _MgO (11)

In the formula: T _RoPercentage composition predictor for Ro in the finished product; T _CaOPercentage composition predictor for CaO in the finished product; T _MgOPercentage composition predictor for MgO in the finished product.

Adopt device of the present invention, can be before compound enter the amalgamation belt, directly this batch compound is about to the finished product composition that sintering obtains and carries out forecast analysis, obtain the predictor of various composition percentage compositions in the finished product.When this predictor does not satisfy requiring of sintering process, in time the proportioning of each mineral aggregate in the compound is regulated.Because this first assembly place is positioned at the initiating terminal of whole sintering flow process, can reduce the time ductility of operations such as proportioning adjusting thus greatly, in time mix material proportioning to be regulated, reduction in the numbers of seconds improves sintering finished quality.

The described device of second embodiment of the invention, further comprise the drift correction unit, by various composition percentage composition actual values in the finished product that the finished product detection spot check is recorded, feed back to composition forecast unit, correspondence composition percentage composition predictor is constantly revised, further improve finished product composition accuracy of the forecast, improve the quality of SINTERING PRODUCTION, increase productivity effect.

Referring to Fig. 5, be the composition predictor structure iron of the agglomerate finished product of second embodiment of the invention.

The composition predictor of the embodiment of the invention and the difference of embodiment one are: this device further comprises drift correction unit 804.

Drift correction unit 804, be used for regularly obtaining the various composition percentage composition of the finished product actual value that the finished product detection spot check records, respectively the predictor of correspondence various composition percentage compositions is constantly revised, to improve agglomerate finished product composition accuracy of the forecast.

Referring to Fig. 1, the junction of amalgamation belt and primary mixer 2 is first assembly place.Composition predictor of the present invention is arranged on place, this first assembly place, is used for according to through each ore deposit groove, the compound that drops on the amalgamation strap end sintering finished composition being forecast.

The product check point of forming is positioned at the end of whole sintering flow process.Agglomerate behind the sintering enters finished bin through the finished belt group through the finished product detection point after being cooled off by central cooler.

By the general knowledge of sintering process flow process as can be known, a certain fixed time through whole sintering flow process, forms finished product through the compound of first assembly place, can survey until the time that arrives finished product detection point.In a single day for different sintering flow processs, distinct device etc., this time may be inequality, but determined factors such as equipment, technology, this time is determined and can survey.It is the sintering period that the present invention sets this time, is represented by t.

Then: through the compound of first assembly place, the moment that arrives finished product detection point is T+t to T constantly.

Be: adopt the percentage composition of composition predictor of the present invention each composition in the compound that T forecasts constantly, need arrive the actual value that T+t constantly could be obtained various composition percentage compositions in the finished product that this compound sintering obtains by the finished product detection point.

Therefore, T is the T+t corresponding moment constantly constantly.When detecting deviation calculating, at first need time according to the timing detection, determine the constantly corresponding of this moment, so that obtain to detect constantly and obtain the corresponding composition percentage composition predicted value of various composition percentage composition actual values with this, with the absolute value of both differences as deviate, predictor is revised, to improve agglomerate finished product composition accuracy of the forecast.

Its concrete computation process as shown in the formula:

T _{Modified value}=(T _{Actual value}+ | T _{Actual value}-T _Predictor|) * k (12)

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value}Be various composition percentage composition actual values; T _PredictorFor with T _{Actual value}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

Wherein, the value of correction factor k can specifically be set according to actual production situation.Generally, the k value is 0.8 to 1.2.

In order further to improve agglomerate finished product composition accuracy of the forecast, can also preestablish section sample time: sampling time of origin T1 and sampling concluding time T2.Obtain the finished product detection point in T1 and T2 all finished product detection data in the time period, calculate the mean value of the various composition percentage composition actual values in this of section sample time, respectively the predictor of correspondence various composition percentage compositions is constantly revised, to improve agglomerate finished product composition accuracy of the forecast.

Its concrete computation process as shown in the formula:

T _{Modified value}=(T _{Actual value _ Avg}+ | T _{Actual value _ Avg}-T _Predictor|) * k (13)

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value _ Avg}Mean value for various composition percentage composition actual values; T _PredictorFor with T _{Actual value _ Avg}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

Wherein, the value of correction factor k can specifically be set according to actual production situation.Generally, the k value is 0.8 to 1.2.

Adopt device of the present invention, can be before compound enter the amalgamation belt, directly this batch compound is about to the finished product composition that sintering obtains and carries out forecast analysis, obtain the predictor of various composition percentage compositions in the finished product.And the composition percentage composition actual value that the finished product detection spot check records fed back to composition forecast unit, predictor is revised.When this predictor does not satisfy requiring of sintering process, in time the proportioning of each mineral aggregate in the compound is regulated.Because this first assembly place is positioned at the initiating terminal of whole sintering flow process, can reduce the time ductility of operations such as proportioning adjusting thus greatly, in time mix material proportioning to be regulated, reduction in the numbers of seconds improves sintering finished quality.

The composition predictor of the agglomerate finished product that provides based on the invention described above, the present invention also provides a kind of composition forecasting procedure of agglomerate finished product.

Referring to Fig. 6, be the composition forecasting procedure schema of agglomerate finished product of the present invention.

Described method specifically may further comprise the steps:

Step S601: the percentage composition that obtains various compositions in every kind of mineral aggregate.

Step S602: obtain total blanking flow of every kind of mineral aggregate, calculate the proportioning of every kind of mineral aggregate in the compound.

Concrete, adopt following formula to calculate the proportioning of every kind of mineral aggregate in the compound:

$R_i=\frac{L_i(1-W_i)}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{L}_i(1-W_i)}---\left(1\right)$

Wherein: R _iIt is the proportioning of i kind mineral aggregate; L _iIt is total blanking flow of i kind mineral aggregate; W _iIt is the water content of i kind mineral aggregate; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

Step S603:, calculate the predictor of various composition percentage compositions in the agglomerate finished product according to the percentage composition of various compositions in the proportioning of every kind of mineral aggregate in the compound and the every kind of mineral aggregate.

Concrete, adopt following formula to calculate the predictor of various composition percentage compositions in the agglomerate finished product:

$T_j=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}---\left(6\right)$

Wherein: T _jPercentage composition predictor for j kind composition in the finished product; R _iIt is the proportioning of i kind mineral aggregate; T _IjIt is the percentage composition that contains j kind composition in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

Preferably, after step 603, this method further comprises:

Step 604: regularly obtain various composition percentage composition actual values in the finished product that the finished product detection spot check records, respectively the predictor of correspondence various composition percentage compositions is constantly revised.

Concrete, adopt following formula that the predictor of correspondence various composition percentage compositions is constantly revised:

T _{Modified value}=(T _{Actual value}+ | T _{Actual value}-T _Predictor|) * k (12)

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value}Be various composition percentage composition actual values; T _PredictorFor with T _{Actual value}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

Wherein, the value of correction factor k can specifically be set according to actual production situation.Generally, the k value is 0.8 to 1.2.

In order further to improve agglomerate finished product composition accuracy of the forecast, can also preestablish section sample time: sampling time of origin T1 and sampling concluding time T2.Obtain the finished product detection point in T1 and T2 all finished product detection data in the time period, calculate the mean value of the various composition percentage composition actual values in this of section sample time, respectively the predictor of correspondence various composition percentage compositions is constantly revised, to improve agglomerate finished product composition accuracy of the forecast.

Its concrete computation process as shown in the formula:

T _{Modified value}=(T _{Actual value _ Avg}+ | T _{Actual value _ Avg}-T _Predictor|) * k (13)

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value _ Avg}Mean value for various composition percentage composition actual values; T _PredictorFor with T _{Actual value _ Avg}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

Wherein, the value of correction factor k can specifically be set according to actual production situation.Generally, the k value is 0.8 to 1.2.

Adopt the method for the invention, can be before compound enter the amalgamation belt, directly this batch compound is about to the finished product composition that sintering obtains and carries out forecast analysis, obtain the predictor of various composition percentage compositions in the finished product.When this predictor does not satisfy requiring of sintering process, in time the proportioning of each mineral aggregate in the compound is regulated.Because this first assembly place is positioned at the initiating terminal of whole sintering flow process, can reduce the time ductility of operations such as proportioning adjusting thus greatly, in time mix material proportioning to be regulated, reduction in the numbers of seconds improves sintering finished quality.

More than to the composition predictor and the method for a kind of agglomerate finished product provided by the present invention, be described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.

Claims (10)

1, a kind of composition predictor of agglomerate finished product is characterized in that, described device comprises: mineral aggregate composition acquiring unit, mineral mixture ratio obtaining unit and composition forecast unit; Wherein:

Described mineral aggregate composition acquiring unit is used for obtaining the percentage composition of every kind of various compositions of mineral aggregate;

Described mineral mixture ratio obtaining unit is used to obtain total blanking flow of every kind of mineral aggregate, calculates the proportioning of every kind of mineral aggregate in the compound;

Described composition forecast unit is used for the percentage composition according to various compositions in the proportioning of every kind of mineral aggregate of compound and the every kind of mineral aggregate, calculates the predictor of various composition percentage compositions in the agglomerate finished product.

2, the composition predictor of agglomerate finished product according to claim 1 is characterized in that, described mineral mixture ratio obtaining unit adopts following formula to calculate the proportioning of every kind of mineral aggregate in the compound:

$R_i=\frac{L_i(1-W_i)}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{L}_i(1-W_i)}$

Wherein: R _iIt is the proportioning of i kind mineral aggregate; L _iIt is total blanking flow of i kind mineral aggregate; W _iIt is the water content of i kind mineral aggregate; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

3, the composition predictor of agglomerate finished product according to claim 1 is characterized in that, described composition forecast unit adopts following formula to calculate the predictor of various composition percentage compositions in the agglomerate finished product:

$T_j=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}$

Wherein: T _jPercentage composition predictor for j kind composition in the finished product; R _iIt is the proportioning of i kind mineral aggregate; T _IjIt is the percentage composition that contains j kind composition in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

4, the composition predictor of agglomerate finished product according to claim 1, it is characterized in that, described device also comprises the drift correction unit, be used for regularly obtaining the various composition percentage composition of the finished product actual value that the finished product detection spot check records, respectively the predictor of correspondence various composition percentage compositions constantly revised.

5, the composition predictor of agglomerate finished product according to claim 4 is characterized in that, described drift correction unit adopts following formula to carry out drift correction:

T _{Modified value}=(T _{Actual value}+ | T _{Actual value}-T _Predictor|) * k

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value}Be various composition percentage composition actual values; T _PredictorFor with T _{Actual value}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

6, a kind of composition forecasting procedure of agglomerate finished product is characterized in that, described method comprises:

Obtain the percentage composition of various compositions in every kind of mineral aggregate;

Obtain total blanking flow of every kind of mineral aggregate, calculate the proportioning of every kind of mineral aggregate in the compound;

According to the percentage composition of various compositions in the proportioning of every kind of mineral aggregate in the compound and the every kind of mineral aggregate, calculate the predictor of various composition percentage compositions in the agglomerate finished product.

7, method according to claim 6 is characterized in that, adopts following formula to calculate the proportioning of every kind of mineral aggregate in the compound:

$R_i=\frac{L_i(1-W_i)}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{L}_i(1-W_i)}$

Wherein: R _iIt is the proportioning of i kind mineral aggregate; L _iIt is total blanking flow of i kind mineral aggregate; W _iIt is the water content of i kind mineral aggregate; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

8, method according to claim 6 is characterized in that, adopts following formula to calculate the predictor of various composition percentage compositions in the agglomerate finished product:

$T_j=\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i\&CenterDot;T_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{R}_i/(100-{\mathrm{Ig}}_i)\&times;100\%}$

Wherein: T _jPercentage composition predictor for j kind composition in the finished product; R _iIt is the proportioning of i kind mineral aggregate; T _IjIt is the percentage composition that contains j kind composition in the i kind ore deposit; Ig _iIt is the scaling loss in i kind ore deposit; N is the kind that comprises mineral aggregate in the compound; N 〉=1.

9, method according to claim 6 is characterized in that, the described predictor that calculates various composition percentage compositions in the agglomerate finished product further comprises afterwards:

Regularly obtain various composition percentage composition actual values in the finished product that the finished product detection spot check records, respectively the predictor of correspondence various composition percentage compositions is constantly revised.

10, method according to claim 9 is characterized in that, adopts following formula that the predictor of correspondence various composition percentage compositions is constantly revised:

T _{Modified value}=(T _{Actual value}+ | T _{Actual value}-T _Predictor|) * k

In the formula: T _{Modified value}Modified value for various composition percentage compositions; T _{Actual value}Be various composition percentage composition actual values; T _PredictorFor with T _{Actual value}Corresponding various composition percentage composition predictors constantly; K is a correction factor.

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