CN104498654A - Blast furnace temperature change trend determination method and device - Google Patents

Abstract

The invention discloses a blast furnace temperature change trend determination method and device. The determination method comprises the following steps: acquiring an image obtained by photographing a blast furnace tuyere raceway; based on the pixel values of pixels in the image, determining the flame temperature and relative brightness of the tuyere raceway in the image by adopting a radiation temperature measurement method; when the flame temperature is greater than a first flame temperature threshold and the flame relative brightness is greater than a first flame relative brightness, determining a first furnace temperature index as a first preset furnace temperature index; when the flame temperature is less than a second flame temperature threshold and the flame relative brightness is less than a second flame relative brightness, determining the first furnace temperature index as a second preset furnace temperature index; otherwise, determining the first furnace temperature index as zero; and based on the first furnace temperature index, determining the blast furnace temperature change trend. By adopting the scheme provided by the embodiment of the invention, the blast furnace temperature change trend can be more accurately determined.

Description

A kind of blast furnace temperature variation tendency defining method and device

Technical field

The present invention relates to technical field of blast furnace process, particularly relate to a kind of blast furnace temperature variation tendency defining method and device.

Background technology

Blast furnace ironmaking is an important step in Iron And Steel Industry, and its Track character is non-linear, tight coupling, large dead time, and contains hundreds of physical-chemical reaction, causes being difficult to utilize monitoring blast furnace internal state someway.

In order to ensure conditions of blast furnace stable smooth operation, being conducive to reducing costs, increase yield, increasing economic efficiency, meet the requirement of green energy conservation.Blast furnace temperature is the embodiment of blast furnace stable smooth operation, so particularly crucial to the judgement of blast furnace temperature.

In actual industrial process, manually according to artificial micro-judgment blast furnace internal thermal status, lack unified discrimination standard.And reference information complexity is various, the change of blast furnace various furnace temperature sign is not of uniform size on furnace temperature impact, brings very large difficulty to artificial judgment.

Summary of the invention

The embodiment of the present invention provides a kind of blast furnace temperature variation tendency defining method and device, in order to solve the problem cannot determining blast furnace temperature variation tendency accurately existed in prior art.

The embodiment of the present invention provides a kind of blast furnace temperature variation tendency defining method, comprising:

Obtain and taken pictures the image obtained in In Raceway Before Tuyere of Blast Furnace;

Based on the pixel value of pixel in described image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in described image;

When described flame temperature is greater than the first flame temperature threshold value, and described flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the described first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises;

When described flame temperature is less than the second flame temperature threshold value, and described flame relative brightness is when being less than the second flame relative brightness threshold value, determine that described first furnace temperature index is the second default furnace temperature index, wherein, described first flame temperature threshold value is greater than described second flame temperature threshold value, described first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the described second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces;

Otherwise, determining that described first furnace temperature index is zero, representing that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness;

Based on described first furnace temperature index, determine the variation tendency of blast furnace temperature.

Further, based on described first furnace temperature index, before determining the variation tendency of blast furnace temperature, also comprise:

To determine in the second furnace temperature index, the 3rd furnace temperature index, the 4th furnace temperature exponential sum the 5th furnace temperature index one of at least;

Wherein, following steps are adopted to determine described second furnace temperature index:

Determine the lip temperature exponential sum core temperature index of blast furnace throat, wherein, described lip temperature index characterizes the situation of the relative blast furnace throat medial temperature of lip temperature of blast furnace throat, and described core temperature index characterizes the situation of the relative blast furnace throat medial temperature of core temperature of blast furnace throat;

When described lip temperature index is greater than the first lip temperature index threshold, and when described core temperature index is greater than the first core temperature index threshold, determine that described second furnace temperature index is the described first default furnace temperature index;

When described lip temperature index is less than the second edge humidity index threshold value, and described core temperature index is when being less than the second core temperature index threshold, determine that described second furnace temperature index is the described second default furnace temperature index, wherein, described first lip temperature index threshold is greater than described second edge humidity index threshold value, and described first core temperature index threshold is greater than described second core temperature index threshold;

Otherwise, determine that described second furnace temperature index is zero;

Following steps are adopted to determine described 3rd furnace temperature index:

Determine each self-corresponding blanking acceleration of multiple stock rod, and the acceleration standard deviation of each self-corresponding described blanking acceleration of described multiple stock rod;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is less than the negative value of First Speed threshold value and described acceleration standard deviation sum, determine that the 3rd furnace temperature index is the described first default furnace temperature index;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is greater than second speed threshold value and described acceleration standard deviation sum, determine that described 3rd furnace temperature index is the described second default furnace temperature index;

Otherwise, determine that described 3rd furnace temperature index is zero;

Following steps are adopted to determine described 4th furnace temperature index:

Obtain the blast furnace furnace wall temperature of multiple different heights in blast furnace furnace wall, and the cooling stave hull-skin temperature of the plurality of different heights;

Based on described blast furnace furnace wall temperature and the described cooling stave hull-skin temperature of described multiple different heights, according to blast furnace furnace wall cross section Two-Dimensional Heat mechanism model, determine the blast furnace internal surface temperature of described multiple different heights;

When for each height, when the blast furnace internal surface temperature of this height is greater than this first highly corresponding blast furnace internal surface temperature threshold value, determine that the 4th furnace temperature index is the described first default furnace temperature index;

When for each height, when the blast furnace internal surface temperature of this height is less than this second highly corresponding blast furnace internal surface temperature threshold value, determine that described 4th furnace temperature index is the described second default furnace temperature index, wherein, for each height, this highly corresponding described first blast furnace internal surface temperature threshold value is greater than this highly corresponding described second blast furnace internal surface temperature threshold value;

Otherwise, determine that described 4th humidity index is zero;

Following steps are adopted to determine described 5th furnace temperature index:

Obtain the currency based on the various input parameters needed for molten iron silicon content predictive model determination blast furnace molten iron silicon content;

Based on the currency of the described various input parameters obtained, according to described molten iron silicon content predictive model, determine blast furnace molten iron silicon content;

When described blast furnace molten iron silicon content is greater than the first default blast-melted silicon threshold value, determine that the 5th furnace temperature index is the described first default furnace temperature index;

When described blast furnace molten iron silicon content is less than the second default blast-melted silicon threshold value, determine that described 5th furnace temperature index is the described second default furnace temperature index, wherein, described first presets blast-melted silicon threshold value is greater than the described second default blast-melted silicon threshold value;

Otherwise, determine that described 5th furnace temperature index is zero;

Based on described first furnace temperature index, determine the variation tendency of blast furnace temperature, comprising:

Based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, determine the variation tendency of blast furnace temperature.

Further, described lip temperature index is carry out to blast furnace throat the lip temperature sum that cross temperature obtains, divided by 4 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains;

Described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by 5 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains; Or, described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by carry out 5 times of top temperature mean value of the furnace throat temperature that described cross temperature obtains with the product of preset constant, described preset constant is greater than 1.

Further, following steps are adopted to determine described molten iron silicon content predictive model:

In preset time period, according to prefixed time interval, gather the various input values of consult volume of molten iron silicon content predictive model, and respectively multiple values of the often kind of input parameter gathered are normalized, obtain the various input values of consult volume after normalization method;

In described preset time period, when producing blast-melted, gather the described blast-melted molten iron silicon content now produced;

Based on the molten iron silicon content of multi collect, carry out curve fitting according to time shaft, obtain molten iron silicon content curve in described preset time period;

Determine in described molten iron silicon content curve, according to the molten iron silicon content that each sampling instant of described prefixed time interval is corresponding;

Based on the various input values of consult volume after described normalization method, and the molten iron silicon content corresponding according to each sampling instant of described prefixed time interval determined, set up molten iron silicon content predictive model according to support vector regression method.

Further, based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, determine the variation tendency of blast furnace temperature, specifically comprise:

Based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, and the weight that each furnace temperature exponent pair is answered, be weighted summation, obtain furnace temperature aggregative index;

When described furnace temperature aggregative index is greater than the first furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature raises, described first furnace temperature index threshold is greater than zero and is less than described first presets furnace temperature index;

When described furnace temperature aggregative index is less than the second furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature reduces, described second furnace temperature index threshold is greater than described second and presets furnace temperature index and be less than zero, and the described second default furnace temperature index is the described first negative default furnace temperature index;

Otherwise, determine that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.

The embodiment of the present invention also provides a kind of blast furnace temperature variation tendency determining device, comprising:

Image acquisition unit, to take pictures the image obtained to In Raceway Before Tuyere of Blast Furnace for obtaining;

Temperature and brightness determining unit, for the pixel value based on pixel in described image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in described image;

First furnace temperature index determining unit, for being greater than the first flame temperature threshold value when described flame temperature, and described flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the described first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises; And

When described flame temperature is less than the second flame temperature threshold value, and described flame relative brightness is when being less than the second flame relative brightness threshold value, determine that described first furnace temperature index is the second default furnace temperature index, wherein, described first flame temperature threshold value is greater than described second flame temperature threshold value, described first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the described second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces; And

Otherwise, determining that described first furnace temperature index is zero, representing that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness;

Variation tendency determining unit, for based on described first furnace temperature index, determines the variation tendency of blast furnace temperature.

Beneficial effect of the present invention comprises:

In the method that the embodiment of the present invention provides, in the process of blast-furnace smelting, can take pictures to In Raceway Before Tuyere of Blast Furnace, and the image acquired, then based on the pixel value of pixel in image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in this image, when flame temperature is greater than the first flame temperature threshold value, and flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises, when flame temperature is less than the second flame temperature threshold value, and flame relative brightness is when being less than the second flame relative brightness threshold value, determine that the first furnace temperature index is the second default furnace temperature index, second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces, otherwise, determine that the first furnace temperature index is zero, represent that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness, then based on the first furnace temperature index, determine the variation tendency of blast furnace temperature, thus achieve accurately determining blast furnace temperature variation tendency.

The further feature of the application and advantage will be set forth in the following description, and, partly become apparent from specification sheets, or understand by implementing the application.The object of the application and other advantages realize by structure specifically noted in write specification sheets, claims and accompanying drawing and obtain.

Accompanying drawing explanation

Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification sheets, is used from explanation the present invention, is not construed as limiting the invention with the embodiment of the present invention one.In the accompanying drawings:

The schema of the blast furnace temperature variation tendency defining method that Fig. 1 provides for the embodiment of the present invention;

Fig. 2 is the temperature conditions based on blast furnace throat in the embodiment of the present invention, determines the schema of the second humidity index representing blast furnace temperature variation tendency;

Fig. 3 is the blanking velocity situation based on blast furnace raw material in the embodiment of the present invention, determines the schema of the 3rd humidity index representing blast furnace temperature variation tendency;

Fig. 4 be in the embodiment of the present invention based on blast furnace internal surface temperature situation, determine the schema of the 4th humidity index representing blast furnace temperature variation tendency;

Fig. 5 be in the embodiment of the present invention based on blast furnace molten iron silicon content situation, determine the schema of the 5th humidity index representing blast furnace temperature variation tendency;

Fig. 6 is the method flow diagram determining molten iron silicon content model in the embodiment of the present invention;

Fig. 7 is the schema based on the variation tendency of five furnace temperature index determination blast furnace temperatures in the embodiment of the present invention;

The structural representation of the blast furnace temperature variation tendency determining device that Fig. 8 provides for the embodiment of the present invention.

Embodiment

In order to provide the implementation determining blast furnace temperature variation tendency accurately, embodiments provide a kind of blast furnace temperature variation tendency defining method and device, below in conjunction with Figure of description, the preferred embodiments of the present invention are described, be to be understood that, preferred embodiment described herein, only for instruction and explanation of the present invention, is not intended to limit the present invention.And when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.

The embodiment of the present invention provides a kind of blast furnace temperature variation tendency defining method, as shown in Figure 1, comprising:

Step 11, obtain and taken pictures the image obtained in In Raceway Before Tuyere of Blast Furnace.

Step 12, pixel value based on pixel in this image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in this image.

Step 13, be greater than the first flame temperature threshold value when flame temperature, and flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises.

Step 14, be less than the second flame temperature threshold value when flame temperature, and flame relative brightness is when being less than the second flame relative brightness threshold value, determine that the first furnace temperature index is the second default furnace temperature index, wherein, first flame temperature threshold value is greater than the second flame temperature threshold value, first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces.

Step 15 otherwise, determining that the first furnace temperature index is zero, representing that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.

Step 16, based on the first furnace temperature index, determine the variation tendency of blast furnace temperature.

Wherein, flame temperature threshold value and flame relative brightness threshold value, with reference to various practical situation residing during practical application, can be arranged as required flexibly, such as, and each attribute of blast furnace self, each attribute etc. of blast furnace raw material.

In the blast furnace temperature changing trend defining method shown in above-mentioned Fig. 1, can by installing detector in blast furnace tuyere monitoring bore ends, and use the pick up camera of detector to take pictures to In Raceway Before Tuyere of Blast Furnace, thus obtain the image of In Raceway Before Tuyere of Blast Furnace.

And, when determining flame temperature and the flame relative brightness of Tuyere Raceway in image, specifically can use three primary colours radiation thermometry, by extracting the gray-scale value of image, determine flame temperature and flame relative brightness, concrete algorithm can refer to the relevant technologies of existing image procossing, is not described in detail at this.

Adopt the method shown in above-mentioned Fig. 1, based on the image taken In Raceway Before Tuyere of Blast Furnace, determine flame temperature and the flame relative brightness of In Raceway Before Tuyere of Blast Furnace, thus the determination realized blast furnace temperature variation tendency, owing to there being the judging criterion of standard, so blast furnace temperature variation tendency can be determined accurately.

In the embodiment of the present invention, in order to determine blast furnace temperature variation tendency more accurately, other characteristics in blast furnace ironmaking process can also be gathered, and consider in conjunction with the flame temperature of In Raceway Before Tuyere of Blast Furnace and flame relative brightness, to determine blast furnace temperature variation tendency, such as, can also with reference to the temperature conditions of blast furnace throat, the blanking velocity situation of blast furnace raw material, blast furnace internal surface temperature situation and blast furnace molten iron silicon content situation, consider in conjunction with this several situation below, to determine that the scheme of blast furnace temperature variation tendency is described in detail.

Fig. 2 is the temperature conditions based on blast furnace throat, determines the schema of the second humidity index representing blast furnace temperature variation tendency, specifically can comprise the steps:

Step 21, temperature conditions based on blast furnace throat, determine the schema of the second humidity index representing blast furnace temperature variation tendency, obtain and carry out to blast furnace throat each furnace throat temperature that cross temperature obtains.

Cross temperature is carried out to blast furnace throat, temperature-measuring gun can be used, respectively at the criss-cross center of blast furnace throat, edge, and each predeterminated position between center and peripheral carries out temperature survey, obtain four lip temperatures, a core temperature, and the temperature of each predeterminated position between center and peripheral.

Step 22, determine obtain the mean value carrying out each furnace throat temperature that cross temperature obtains, as top warm mean value.

Step 23, determine the lip temperature index of blast furnace throat, lip temperature index characterizes the situation of the relative blast furnace throat medial temperature of lip temperature of blast furnace throat.

Lip temperature index can for carrying out to blast furnace throat the lip temperature sum that cross temperature obtains, and divided by 4 times of top temperature mean value carrying out the furnace throat temperature that cross temperature obtains, specifically can adopt following formula:

$F_b=\frac{T_a+T_b+T_c+T_d}{4T};$

Wherein, F _bfor lip temperature index, T _a, T _b, T _cand T _dfor 4 lip temperatures that cross temperature obtains, T is the warm mean value in top.

Step 24, determine the core temperature index of blast furnace throat, core temperature index characterizes the situation of the relative blast furnace throat medial temperature of core temperature of blast furnace throat.

Core temperature index can for carry out core temperature that cross temperature obtains with by paracentral 4 temperature sums, divided by 5 times of top temperature mean value carrying out the furnace throat temperature that cross temperature obtains, specifically can adopt following formula:

$F_z=\frac{T_e+T_f+T_g+T_h+T_i}{5T};$

Wherein, F _zcentered by humidity index, T _e, T _f, T _gand T _hwhat obtain for cross temperature leans on paracentral 4 temperature, T _ifor the core temperature that cross temperature obtains, T is the warm mean value in top.

Consider that core temperature is higher, so, when determining core temperature index, also can for carry out core temperature that cross temperature obtains with by paracentral 4 temperature sums, divided by carry out 5 times of top temperature mean value of the furnace throat temperature that cross temperature obtains with the product of preset constant, and this preset constant is greater than 1, such as, this preset constant is 2.5, specifically can adopt following formula:

$F_z=\frac{T_e+T_f+T_g+T_h+T_i}{2.5\×5T}.$

Step 25, determine whether edge humidity index is greater than the first lip temperature index threshold, and whether core temperature index is greater than the first core temperature index threshold, if be all greater than, enters step 26, otherwise, enter step 27.

Step 26, determine the second furnace temperature index be first preset furnace temperature index.

Step 27, determine whether lip temperature index is less than the second edge humidity index threshold value, and whether core temperature index is less than the second core temperature index threshold, if be all less than, enters step 28, otherwise, enter step 29.

Wherein, first lip temperature index threshold is greater than the second edge humidity index threshold value, first core temperature index threshold is greater than the second core temperature index threshold, the value of each threshold value, can with reference to various practical situation residing during practical application, and arrange flexibly as required, this no longer distance be described.

Step 28, determine the second furnace temperature index be second preset furnace temperature index.

Step 29, determine that the second furnace temperature index is zero.

Fig. 3 is the blanking velocity situation based on blast furnace raw material, determines the schema of the 3rd humidity index representing blast furnace temperature variation tendency, specifically can comprise the steps:

Step 31, in blast furnace ironmaking process, need raw material to add in blast furnace, now, the blanking velocity of raw material can be detected by stock rod, such as, following formula determination blanking velocity can be adopted:

$v=\frac{\mathrm{\Δl}}{\mathrm{\ΔT}};$

Wherein, v is blanking velocity, and Δ T is for presetting sense cycle, and Δ l is the degree of depth that in current period, stock rod declines.

Step 32, adopt following formula determination blanking acceleration:

$a=\frac{v(i+1)-v\left(i\right)}{\mathrm{\ΔT}};$

Wherein, a is blanking acceleration, the blanking velocity that v (i+1) detects for current preset sense cycle, the blanking velocity that v (i) detects for a upper default sense cycle.

Step 33, following formula is adopted to determine the acceleration standard deviation of each self-corresponding blanking acceleration of multiple stock rod:

a _max＝max(a _i)；

a _min＝min(a _i)；

$a_{\mathrm{aver}}=\frac{a_{\max }-a_{\min }}{\mathrm{\ΔT}};$

$a_{\mathrm{std}}=\frac{\sqrt{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{(a_i-a_{\mathrm{aver}})}^2}}{n-1};$

Wherein, a _ifor the blanking acceleration that i-th stock rod in n stock rod is corresponding, a _maxfor the maximum value in n each self-corresponding blanking acceleration of stock rod, a _minfor the minimum value in n each self-corresponding blanking acceleration of stock rod, a _stdfor the acceleration standard deviation of n each self-corresponding blanking acceleration of stock rod.

Step 34, for each stock rod in multiple stock rod, determine whether blanking acceleration that this stock rod is corresponding is less than the negative value of First Speed threshold value and acceleration standard deviation sum, if be all less than for each stock rod, enters step 35, otherwise, enter step 36.

Namely a is determined whether _i<-(b ₁+ a _std), wherein, b ₁for First Speed threshold value.

Step 35, determine the 3rd furnace temperature index be first preset furnace temperature index.

Step 36, for each stock rod in multiple stock rod, determine whether the blanking acceleration that this stock rod is corresponding is greater than second speed threshold value and acceleration standard deviation sum, if be all greater than for each stock rod, enters step 37, otherwise, enter step 38.

Namely a is determined whether _i> (b ₂+ a _std), wherein, b ₂for second speed threshold value.

Wherein, the value of First Speed threshold value and second speed threshold value, can with reference to various practical situation residing during practical application, and arrange flexibly as required, such as, First Speed threshold value can value be 0.007, and second speed threshold value can value be 0.002.

Step 37, determine the 3rd furnace temperature index be second preset furnace temperature index.

Step 38, determine that the 3rd furnace temperature index is zero.

Fig. 4 is based on blast furnace internal surface temperature situation, determines the schema of the 4th humidity index representing blast furnace temperature variation tendency, specifically can comprise the steps:

The blast furnace furnace wall temperature of multiple different heights in step 41, acquisition blast furnace furnace wall.

Specifically can arrange temperature thermocouple respectively, for detecting the blast furnace furnace wall temperature of multiple different heights in blast furnace furnace wall by multiple different heights in the refractory brick of blast furnace furnace wall.

Step 42, obtain the cooling stave hull-skin temperature of the plurality of different heights.

Cooling stave hull-skin temperature can by detecting at cooling stave intake-outlet location arrangements temperature probe.

Step 43, based on the blast furnace furnace wall temperature of the plurality of different heights and cooling stave hull-skin temperature, according to blast furnace furnace wall cross section Two-Dimensional Heat mechanism model, determine the blast furnace internal surface temperature of the plurality of different heights.

Such as, can determine based on following formula:

$\frac{\&PartialD;}{\&PartialD;h}\left(\mathrm{\&lambda;}\frac{\&PartialD;T(r,\mathrm{\&theta;},h)}{\&PartialD;h}\right)+\frac{1}{r}\frac{\&PartialD;}{\&PartialD;r}\left(\mathrm{\&lambda;r}\frac{\&PartialD;T(r,\mathrm{\&theta;},h)}{\&PartialD;r}\right)+\frac{1}{r}\frac{\&PartialD;}{\&PartialD;\mathrm{\&theta;}}\left(\frac{\mathrm{\&lambda;}}{r}\frac{\&PartialD;T(r,\mathrm{\&theta;},h)}{\&PartialD;\mathrm{\&theta;}}\right)+\frac{q_v}{\mathrm{\&rho;c}}=\frac{\&PartialD;T(r,\mathrm{\&theta;},h)}{\&PartialD;r};$

Wherein, h is blast furnace axial height, r is radius, θ is circumferential radian, λ is thermal conductivity, q _vrepresent endogenous pyrogen, ρ represents density, c represents specific heat capacity, T is temperature, τ is the time.

Step 44, for each height in the plurality of height, determine whether the blast furnace internal surface temperature of this height is greater than this first highly corresponding blast furnace internal surface temperature threshold value, if be all greater than for each height, then enters step 45, otherwise, enter step 46.

Step 45, determine the 4th furnace temperature index be first preset furnace temperature index.

Step 46, for each height in the plurality of height, determine whether the blast furnace internal surface temperature of this height is less than this second highly corresponding blast furnace internal surface temperature threshold value, if be all less than for each height, then enters step 47, otherwise, enter step 48.

Wherein, for each height, this first highly corresponding blast furnace internal surface temperature threshold value is greater than this second highly corresponding blast furnace internal surface temperature threshold value, the value of each threshold value, can with reference to various practical situation residing during practical application, and arrange flexibly as required, no longer illustrating at this is described.

Step 47, determine the 4th furnace temperature index be second preset furnace temperature index.

Step 48, determine that the 4th humidity index is zero.

Fig. 5 is based on blast furnace molten iron silicon content situation, determines the schema of the 5th humidity index representing blast furnace temperature variation tendency, specifically can comprise the steps:

Step 51, obtain currency based on the various input parameters needed for molten iron silicon content predictive model determination blast furnace molten iron silicon content.

Such as, the various input parameters of this molten iron silicon content predictive model can comprise: blast, pressure reduction, air quantity, gas permeability index, top pressure, top temperature, wind-warm syndrome, last stove molten iron Si content etc.

Step 52, based on the currency of various input parameters obtained, according to molten iron silicon content predictive model, determine blast furnace molten iron silicon content.

Step 53, determine this blast furnace molten iron silicon content whether be greater than first preset blast-melted silicon threshold value, if be greater than, enter step 54, otherwise, enter step 55.

Step 54, determine the 5th furnace temperature index be first preset furnace temperature index.

Step 55, determine blast furnace molten iron silicon content whether be less than second preset blast-melted silicon threshold value, if be less than, enter step 56, otherwise, enter step 57.

Wherein, first presets blast-melted silicon threshold value is greater than the second default blast-melted silicon threshold value, and the value of each threshold value, with reference to various practical situation residing during practical application, and can arrange flexibly as required, no longer illustrating at this is described.

Step 56, determine the 5th furnace temperature index be second preset furnace temperature index.

Step 57, determine that the 5th furnace temperature index is zero.

In flow process shown in above-mentioned Fig. 5, molten iron silicon content predictive model can adopt various molten iron silicon content predictive model of the prior art, in the embodiment of the present invention, proposes a kind of method of new determination molten iron silicon content model, as shown in Figure 6, following treatment step is specifically comprised:

Step 61, in preset time period, according to prefixed time interval, the various input values of consult volume of the molten iron silicon content predictive model that collection will be set up, wherein, various input parameter can be arranged according to actual needs flexibly, such as, can be the whole or arbitrary combination of above-mentioned various parameter, no longer illustrating at this be described.

Step 62, may differ larger due to the order of magnitude between various value of consult volume, so, in order to improve the reasonableness that model is set up, can be normalized multiple values of the often kind of input parameter gathered respectively, obtain the various input values of consult volume after normalization method, specifically can adopt following formula, multiple values of often kind of input parameter are normalized:

${\stackrel{-}{x}}_i\left(k\right)=\frac{x_i\left(k\right)-\min \left(x_i\left(k\right)\right)}{\max \left(x_i\left(k\right)\right)-\min \left(x_i\left(k\right)\right)};$

Wherein, x _ik () inputs i-th value in n value of parameter for the m kind gathered inputs kth in parameter, for the value after the normalized that i-th value in n value of a kth input parameter in the m kind input parameter for gathering is corresponding.

Step 63, in this preset time period, when producing blast-melted, gather the blast-melted molten iron silicon content that now produces.

Step 64, molten iron silicon content based on multi collect in this preset time period, carry out curve fitting according to time shaft, obtain molten iron silicon content curve in this preset time period.

Step 65, determine in this molten iron silicon content curve, according to the molten iron silicon content that each sampling instant of prefixed time interval is corresponding.

Step 66, based on the various input values of consult volume after above-mentioned normalization method, and the molten iron silicon content corresponding according to each sampling instant of prefixed time interval determined, sets up molten iron silicon content predictive model according to support vector regression method.

Specifically can set up molten iron silicon content predictive model based on following formula:

$f\left(x\right)=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}(c_i-{c_i}^{*})k(x_i,x)+d;$

Wherein, x is sample to be predicted, x _ifor learning sample, c _i, c _i ^*for Lagrangian multiplier, d is deviation, k (x _i, x) RBF kernel function can be chosen as, specifically can be as follows:

$k(x_i,x_j)=\exp (-\frac{\left|\right|x_i-x_j\left|\right|}{{2\mathrm{\&sigma;}}^2})$

In the embodiment of the present invention, determined that by the flow process shown in above-mentioned Fig. 2-Fig. 5 the second furnace temperature index, the 3rd furnace temperature index, the 4th furnace temperature exponential sum the 5th furnace temperature index are at least for the moment, accordingly, based on the first furnace temperature index, determine the variation tendency of blast furnace temperature, can think:

Based on the first furnace temperature index, and the second furnace temperature index determined, the 3rd furnace temperature index, in the 4th furnace temperature exponential sum the 5th furnace temperature index one of at least, determine the variation tendency of blast furnace temperature.

Such as, can determine in each furnace temperature index of the variation tendency participating in determining blast furnace temperature respectively, be the first quantity presetting furnace temperature index, and be the second quantity presetting furnace temperature index, if the former quantity is greater than the latter's quantity, then determine that blast furnace temperature variation tendency is that temperature raises, if the former quantity is less than the latter's quantity, then determine that blast furnace temperature variation tendency is that temperature reduces, if equal, then blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.

Again such as, also can determine that each furnace temperature index of the variation tendency of blast furnace temperature arranges priority to participation, and judge according to priority order from high to low, if be that temperature raises or temperature reduces according to current furnace temperature index determination blast furnace temperature variation tendency, then determine that net result is temperature and raises or temperature reduction, if current furnace temperature index is zero, then current furnace temperature index is changed to the next furnace temperature index according to priority order from high to low, and again according to current furnace temperature index determination blast furnace temperature variation tendency, by that analogy, until determine that blast furnace temperature variation tendency is that temperature raises or temperature reduces, or according to last furnace temperature index determination blast furnace temperature variation tendency for till maintaining the temperature in zone of reasonableness.

In the embodiment of the present invention, another is also proposed based on the first furnace temperature index, and the second furnace temperature index determined, the 3rd furnace temperature index, in the 4th furnace temperature exponential sum the 5th furnace temperature index one of at least, determine the scheme of the variation tendency of blast furnace temperature, here for the variation tendency based on these five furnace temperature index determination blast furnace temperatures, as shown in Figure 7, following treatment step can be comprised

Step 71, based on the first furnace temperature index, the second furnace temperature index, the 3rd furnace temperature index, the 4th furnace temperature exponential sum the 5th furnace temperature index, and the weight that each furnace temperature exponent pair is answered, is weighted summation, obtains furnace temperature aggregative index.

Following formula can be adopted:

Index＝μ1*Index1+μ2*Index2+μ3*Index3+μ4*Index4+μ5*Index5；

Wherein, Index is furnace temperature aggregative index, Index1, Index2, Index3, Index4 and Index5 are respectively the first furnace temperature index, the second furnace temperature index, the 3rd furnace temperature index, the 4th furnace temperature exponential sum the 5th furnace temperature index, the weight that μ 1, μ 2, μ 3, μ 4 and μ 5 are respectively the first furnace temperature index, the second furnace temperature index, the 3rd furnace temperature index, the 4th furnace temperature exponential sum the 5th furnace temperature exponent pair are answered, and μ 1, μ 2, μ 3, μ 4 and μ 5 sum are 1.

Step 72, determine whether furnace temperature aggregative index is greater than the first furnace temperature index threshold, if be greater than, enters step 73, otherwise, enter step 74.

First furnace temperature index threshold is greater than zero and is less than first presets furnace temperature index.

Step 73, determine the variation tendency of blast furnace temperature be temperature raise.

Step 74, determine whether furnace temperature aggregative index is less than the second furnace temperature index threshold, if be less than, enters step 75, otherwise, enter step 76.

Second furnace temperature index threshold is greater than second and presets furnace temperature index and be less than zero.

Step 75, determine the variation tendency of blast furnace temperature be temperature reduce.

Step 76, determine that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.

In flow process shown in above-mentioned Fig. 7, first furnace temperature index threshold and the second furnace temperature index threshold, can arrange flexibly according to actual needs, such as, first furnace temperature index threshold can be the first default furnace temperature index of 0.5 times, and the second furnace temperature index threshold can be the second default furnace temperature index of 0.5 times.

In order to convenience of calculation, in the embodiment of the present invention, the second default furnace temperature index can be the negative first default furnace temperature index, and such as, the first default furnace temperature index can be 1, and accordingly, the second default furnace temperature index is-1.

Adopt the aforesaid method that the embodiment of the present invention provides, artificial judgment compared to existing technology, can determine blast furnace temperature variation tendency more accurately, and, when determining based on above-mentioned multiple furnace temperature index, the accuracy determined can be improved further.

Based on same inventive concept, according to the blast furnace temperature variation tendency defining method that the above embodiment of the present invention provides, correspondingly, another embodiment of the present invention additionally provides a kind of blast furnace temperature variation tendency determining device, its structural representation as shown in Figure 8, specifically comprises:

Image acquisition unit 81, to take pictures the image obtained to In Raceway Before Tuyere of Blast Furnace for obtaining;

Temperature and brightness determining unit 82, for the pixel value based on pixel in described image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in described image;

First furnace temperature index determining unit 83, for being greater than the first flame temperature threshold value when described flame temperature, and described flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the described first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises; And

When described flame temperature is less than the second flame temperature threshold value, and described flame relative brightness is when being less than the second flame relative brightness threshold value, determine that described first furnace temperature index is the second default furnace temperature index, wherein, described first flame temperature threshold value is greater than described second flame temperature threshold value, described first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the described second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces; And

Otherwise, determining that described first furnace temperature index is zero, representing that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness;

Variation tendency determining unit 84, for based on described first furnace temperature index, determines the variation tendency of blast furnace temperature.

Further, also comprise:

In second furnace temperature index determining unit the 85, the 3rd furnace temperature index determining unit the 86, the 4th furnace temperature index determining unit 87 and the 5th furnace temperature index determining unit 88 one of at least;

Wherein, described second furnace temperature index determining unit 85, determine described second furnace temperature index for adopting following steps:

Determine the lip temperature exponential sum core temperature index of blast furnace throat, wherein, described lip temperature index characterizes the situation of the relative blast furnace throat medial temperature of lip temperature of blast furnace throat, and described core temperature index characterizes the situation of the relative blast furnace throat medial temperature of core temperature of blast furnace throat;

When described lip temperature index is greater than the first lip temperature index threshold, and when described core temperature index is greater than the first core temperature index threshold, determine that described second furnace temperature index is the described first default furnace temperature index;

When described lip temperature index is less than the second edge humidity index threshold value, and described core temperature index is when being less than the second core temperature index threshold, determine that described second furnace temperature index is the described second default furnace temperature index, wherein, described first lip temperature index threshold is greater than described second edge humidity index threshold value, and described first core temperature index threshold is greater than described second core temperature index threshold;

Otherwise, determine that described second furnace temperature index is zero;

Described 3rd furnace temperature index determining unit 86, determine described 3rd furnace temperature index for adopting following steps:

Determine each self-corresponding blanking acceleration of multiple stock rod, and the acceleration standard deviation of each self-corresponding described blanking acceleration of described multiple stock rod;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is less than the negative value of First Speed threshold value and described acceleration standard deviation sum, determine that the 3rd furnace temperature index is the described first default furnace temperature index;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is greater than second speed threshold value and described acceleration standard deviation sum, determine that described 3rd furnace temperature index is the described second default furnace temperature index;

Otherwise, determine that described 3rd furnace temperature index is zero;

Described 4th furnace temperature index determining unit 87, determine described 4th furnace temperature index for adopting following steps:

Obtain the blast furnace furnace wall temperature of multiple different heights in blast furnace furnace wall, and the cooling stave hull-skin temperature of the plurality of different heights;

Based on described blast furnace furnace wall temperature and the described cooling stave hull-skin temperature of described multiple different heights, according to blast furnace furnace wall cross section Two-Dimensional Heat mechanism model, determine the blast furnace internal surface temperature of described multiple different heights;

When for each height, when the blast furnace internal surface temperature of this height is greater than this first highly corresponding blast furnace internal surface temperature threshold value, determine that the 4th furnace temperature index is the described first default furnace temperature index;

When for each height, when the blast furnace internal surface temperature of this height is less than this second highly corresponding blast furnace internal surface temperature threshold value, determine that described 4th furnace temperature index is the described second default furnace temperature index, wherein, for each height, this highly corresponding described first blast furnace internal surface temperature threshold value is greater than this highly corresponding described second blast furnace internal surface temperature threshold value;

Otherwise, determine that described 4th humidity index is zero;

Described 5th furnace temperature index determining unit 88, determine described 5th furnace temperature index for adopting following steps:

Obtain the currency based on the various input parameters needed for molten iron silicon content predictive model determination blast furnace molten iron silicon content;

Based on the currency of the described various input parameters obtained, according to described molten iron silicon content predictive model, determine blast furnace molten iron silicon content;

When described blast furnace molten iron silicon content is greater than the first default blast-melted silicon threshold value, determine that the 5th furnace temperature index is the described first default furnace temperature index;

When described blast furnace molten iron silicon content is less than the second default blast-melted silicon threshold value, determine that described 5th furnace temperature index is the described second default furnace temperature index, wherein, described first presets blast-melted silicon threshold value is greater than the described second default blast-melted silicon threshold value;

Otherwise, determine that described 5th furnace temperature index is zero;

Described variation tendency determining unit 84, specifically for based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, determine the variation tendency of blast furnace temperature.

Further, described lip temperature index is carry out to blast furnace throat the lip temperature sum that cross temperature obtains, divided by 4 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains;

Described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by 5 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains; Or, described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by carry out 5 times of top temperature mean value of the furnace throat temperature that described cross temperature obtains with the product of preset constant, described preset constant is greater than 1.

Further, described 5th furnace temperature index determining unit 88, also for adopting following steps to determine described molten iron silicon content predictive model:

In preset time period, according to prefixed time interval, gather the various input values of consult volume of molten iron silicon content predictive model, and respectively multiple values of the often kind of input parameter gathered are normalized, obtain the various input values of consult volume after normalization method;

In described preset time period, when producing blast-melted, gather the described blast-melted molten iron silicon content now produced;

Based on the molten iron silicon content of multi collect, carry out curve fitting according to time shaft, obtain molten iron silicon content curve in described preset time period;

Determine in described molten iron silicon content curve, according to the molten iron silicon content that each sampling instant of described prefixed time interval is corresponding;

Based on the various input values of consult volume after described normalization method, and the molten iron silicon content corresponding according to each sampling instant of described prefixed time interval determined, set up molten iron silicon content predictive model according to support vector regression method.

Further, described variation tendency determining unit 84, specifically for based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, and the weight that each furnace temperature exponent pair is answered, be weighted summation, obtain furnace temperature aggregative index;

When described furnace temperature aggregative index is greater than the first furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature raises, described first furnace temperature index threshold is greater than zero and is less than described first presets furnace temperature index;

When described furnace temperature aggregative index is less than the second furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature reduces, described second furnace temperature index threshold is greater than described second and presets furnace temperature index and be less than zero, and the described second default furnace temperature index is the described first negative default furnace temperature index;

Otherwise, determine that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.

The function of above-mentioned each unit may correspond to the respective handling step in flow process shown in Fig. 1 to Fig. 7, does not repeat them here.

In sum, the scheme that the embodiment of the present invention provides, comprising: obtain and to take pictures the image obtained to In Raceway Before Tuyere of Blast Furnace; And based on the pixel value of pixel in this image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in this image; And when flame temperature is greater than the first flame temperature threshold value, and when flame relative brightness is greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises; When flame temperature is less than the second flame temperature threshold value, and flame relative brightness is when being less than the second flame relative brightness threshold value, determine that the first furnace temperature index is the second default furnace temperature index, wherein, first flame temperature threshold value is greater than the second flame temperature threshold value, first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces; Otherwise, determine that the first furnace temperature index is zero, represent that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness, and based on the first furnace temperature index, determine the variation tendency of blast furnace temperature.The scheme adopting the embodiment of the present invention to provide, can determine blast furnace temperature variation tendency more accurately.

The blast furnace temperature variation tendency determining device that the embodiment of the application provides realizes by computer program.Those skilled in the art should be understood that; above-mentioned Module Division mode is only the one in numerous Module Division mode; if be divided into other modules or do not divide module, as long as blast furnace temperature variation tendency determining device has above-mentioned functions, all should within the protection domain of the application.

The application describes with reference to according to the schema of the method for the embodiment of the present application, equipment (system) and computer program and/or skeleton diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or skeleton diagram and/or square frame and schema and/or skeleton diagram and/or square frame.These computer program instructions can being provided to the treater of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the treater of computer or other programmable data processing device produce device for realizing the function of specifying in schema flow process or multiple flow process and/or skeleton diagram square frame or multiple square frame.

These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in schema flow process or multiple flow process and/or skeleton diagram square frame or multiple square frame.

These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in schema flow process or multiple flow process and/or skeleton diagram square frame or multiple square frame.

Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims (10)

1. a blast furnace temperature variation tendency defining method, is characterized in that, comprising:

Obtain and taken pictures the image obtained in In Raceway Before Tuyere of Blast Furnace;

Based on the pixel value of pixel in described image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in described image;

When described flame temperature is greater than the first flame temperature threshold value, and described flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the described first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises;

When described flame temperature is less than the second flame temperature threshold value, and described flame relative brightness is when being less than the second flame relative brightness threshold value, determine that described first furnace temperature index is the second default furnace temperature index, wherein, described first flame temperature threshold value is greater than described second flame temperature threshold value, described first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the described second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces;

Otherwise, determining that described first furnace temperature index is zero, representing that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness;

Based on described first furnace temperature index, determine the variation tendency of blast furnace temperature.

2. the method for claim 1, is characterized in that, based on described first furnace temperature index, before determining the variation tendency of blast furnace temperature, also comprises:

To determine in the second furnace temperature index, the 3rd furnace temperature index, the 4th furnace temperature exponential sum the 5th furnace temperature index one of at least;

Wherein, following steps are adopted to determine described second furnace temperature index:

Determine the lip temperature exponential sum core temperature index of blast furnace throat, wherein, described lip temperature index characterizes the situation of the relative blast furnace throat medial temperature of lip temperature of blast furnace throat, and described core temperature index characterizes the situation of the relative blast furnace throat medial temperature of core temperature of blast furnace throat;

When described lip temperature index is greater than the first lip temperature index threshold, and when described core temperature index is greater than the first core temperature index threshold, determine that described second furnace temperature index is the described first default furnace temperature index;

When described lip temperature index is less than the second edge humidity index threshold value, and described core temperature index is when being less than the second core temperature index threshold, determine that described second furnace temperature index is the described second default furnace temperature index, wherein, described first lip temperature index threshold is greater than described second edge humidity index threshold value, and described first core temperature index threshold is greater than described second core temperature index threshold;

Otherwise, determine that described second furnace temperature index is zero;

Following steps are adopted to determine described 3rd furnace temperature index:

Determine each self-corresponding blanking acceleration of multiple stock rod, and the acceleration standard deviation of each self-corresponding described blanking acceleration of described multiple stock rod;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is less than the negative value of First Speed threshold value and described acceleration standard deviation sum, determine that the 3rd furnace temperature index is the described first default furnace temperature index;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is greater than second speed threshold value and described acceleration standard deviation sum, determine that described 3rd furnace temperature index is the described second default furnace temperature index;

Otherwise, determine that described 3rd furnace temperature index is zero;

Following steps are adopted to determine described 4th furnace temperature index:

Obtain the blast furnace furnace wall temperature of multiple different heights in blast furnace furnace wall, and the cooling stave hull-skin temperature of the plurality of different heights;

Based on described blast furnace furnace wall temperature and the described cooling stave hull-skin temperature of described multiple different heights, according to blast furnace furnace wall cross section Two-Dimensional Heat mechanism model, determine the blast furnace internal surface temperature of described multiple different heights;

When for each height, when the blast furnace internal surface temperature of this height is greater than this first highly corresponding blast furnace internal surface temperature threshold value, determine that the 4th furnace temperature index is the described first default furnace temperature index;

When for each height, when the blast furnace internal surface temperature of this height is less than this second highly corresponding blast furnace internal surface temperature threshold value, determine that described 4th furnace temperature index is the described second default furnace temperature index, wherein, for each height, this highly corresponding described first blast furnace internal surface temperature threshold value is greater than this highly corresponding described second blast furnace internal surface temperature threshold value;

Otherwise, determine that described 4th humidity index is zero;

Following steps are adopted to determine described 5th furnace temperature index:

Obtain the currency based on the various input parameters needed for molten iron silicon content predictive model determination blast furnace molten iron silicon content;

Based on the currency of the described various input parameters obtained, according to described molten iron silicon content predictive model, determine blast furnace molten iron silicon content;

When described blast furnace molten iron silicon content is greater than the first default blast-melted silicon threshold value, determine that the 5th furnace temperature index is the described first default furnace temperature index;

When described blast furnace molten iron silicon content is less than the second default blast-melted silicon threshold value, determine that described 5th furnace temperature index is the described second default furnace temperature index, wherein, described first presets blast-melted silicon threshold value is greater than the described second default blast-melted silicon threshold value;

Otherwise, determine that described 5th furnace temperature index is zero;

Based on described first furnace temperature index, determine the variation tendency of blast furnace temperature, comprising:

Based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, determine the variation tendency of blast furnace temperature.

3. method as claimed in claim 2, is characterized in that, described lip temperature index is carry out to blast furnace throat the lip temperature sum that cross temperature obtains, divided by 4 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains;

Described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by 5 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains; Or, described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by carry out 5 times of top temperature mean value of the furnace throat temperature that described cross temperature obtains with the product of preset constant, described preset constant is greater than 1.

4. method as claimed in claim 2, is characterized in that, adopts following steps to determine described molten iron silicon content predictive model:

In preset time period, according to prefixed time interval, gather the various input values of consult volume of molten iron silicon content predictive model, and respectively multiple values of the often kind of input parameter gathered are normalized, obtain the various input values of consult volume after normalization method;

In described preset time period, when producing blast-melted, gather the described blast-melted molten iron silicon content now produced;

Based on the molten iron silicon content of multi collect, carry out curve fitting according to time shaft, obtain molten iron silicon content curve in described preset time period;

Determine in described molten iron silicon content curve, according to the molten iron silicon content that each sampling instant of described prefixed time interval is corresponding;

Based on the various input values of consult volume after described normalization method, and the molten iron silicon content corresponding according to each sampling instant of described prefixed time interval determined, set up molten iron silicon content predictive model according to support vector regression method.

5. the method as described in as arbitrary in claim 2-4, it is characterized in that, based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, determine the variation tendency of blast furnace temperature, specifically comprise:

Based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, and the weight that each furnace temperature exponent pair is answered, be weighted summation, obtain furnace temperature aggregative index;

When described furnace temperature aggregative index is greater than the first furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature raises, described first furnace temperature index threshold is greater than zero and is less than described first presets furnace temperature index;

When described furnace temperature aggregative index is less than the second furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature reduces, described second furnace temperature index threshold is greater than described second and presets furnace temperature index and be less than zero, and the described second default furnace temperature index is the described first negative default furnace temperature index;

Otherwise, determine that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.

6. a blast furnace temperature variation tendency determining device, is characterized in that, comprising:

Image acquisition unit, to take pictures the image obtained to In Raceway Before Tuyere of Blast Furnace for obtaining;

Temperature and brightness determining unit, for the pixel value based on pixel in described image, adopt radiation thermometry, determine flame temperature and the flame relative brightness of Tuyere Raceway in described image;

First furnace temperature index determining unit, for being greater than the first flame temperature threshold value when described flame temperature, and described flame relative brightness is when being greater than the first flame relative brightness threshold value, determine that the first furnace temperature index is the first default furnace temperature index, the described first default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature raises; And

When described flame temperature is less than the second flame temperature threshold value, and described flame relative brightness is when being less than the second flame relative brightness threshold value, determine that described first furnace temperature index is the second default furnace temperature index, wherein, described first flame temperature threshold value is greater than described second flame temperature threshold value, described first flame relative brightness threshold value is greater than the second flame relative brightness threshold value, and the described second default furnace temperature exponential representation blast furnace temperature variation tendency is that temperature reduces; And

Otherwise, determining that described first furnace temperature index is zero, representing that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness;

Variation tendency determining unit, for based on described first furnace temperature index, determines the variation tendency of blast furnace temperature.

7. device as claimed in claim 6, is characterized in that, also comprise:

In second furnace temperature index determining unit, the 3rd furnace temperature index determining unit, the 4th furnace temperature index determining unit and the 5th furnace temperature index determining unit one of at least;

Wherein, described second furnace temperature index determining unit, determine described second furnace temperature index for adopting following steps:

Determine the lip temperature exponential sum core temperature index of blast furnace throat, wherein, described lip temperature index characterizes the situation of the relative blast furnace throat medial temperature of lip temperature of blast furnace throat, and described core temperature index characterizes the situation of the relative blast furnace throat medial temperature of core temperature of blast furnace throat;

When described lip temperature index is greater than the first lip temperature index threshold, and when described core temperature index is greater than the first core temperature index threshold, determine that described second furnace temperature index is the described first default furnace temperature index;

When described lip temperature index is less than the second edge humidity index threshold value, and described core temperature index is when being less than the second core temperature index threshold, determine that described second furnace temperature index is the described second default furnace temperature index, wherein, described first lip temperature index threshold is greater than described second edge humidity index threshold value, and described first core temperature index threshold is greater than described second core temperature index threshold;

Otherwise, determine that described second furnace temperature index is zero;

Described 3rd furnace temperature index determining unit, determine described 3rd furnace temperature index for adopting following steps:

Determine each self-corresponding blanking acceleration of multiple stock rod, and the acceleration standard deviation of each self-corresponding described blanking acceleration of described multiple stock rod;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is less than the negative value of First Speed threshold value and described acceleration standard deviation sum, determine that the 3rd furnace temperature index is the described first default furnace temperature index;

When for each stock rod, when the described blanking acceleration that this stock rod is corresponding is greater than second speed threshold value and described acceleration standard deviation sum, determine that described 3rd furnace temperature index is the described second default furnace temperature index;

Otherwise, determine that described 3rd furnace temperature index is zero;

Described 4th furnace temperature index determining unit, determine described 4th furnace temperature index for adopting following steps:

Obtain the blast furnace furnace wall temperature of multiple different heights in blast furnace furnace wall, and the cooling stave hull-skin temperature of the plurality of different heights;

Based on described blast furnace furnace wall temperature and the described cooling stave hull-skin temperature of described multiple different heights, according to blast furnace furnace wall cross section Two-Dimensional Heat mechanism model, determine the blast furnace internal surface temperature of described multiple different heights;

When for each height, when the blast furnace internal surface temperature of this height is greater than this first highly corresponding blast furnace internal surface temperature threshold value, determine that the 4th furnace temperature index is the described first default furnace temperature index;

When for each height, when the blast furnace internal surface temperature of this height is less than this second highly corresponding blast furnace internal surface temperature threshold value, determine that described 4th furnace temperature index is the described second default furnace temperature index, wherein, for each height, this highly corresponding described first blast furnace internal surface temperature threshold value is greater than this highly corresponding described second blast furnace internal surface temperature threshold value;

Otherwise, determine that described 4th humidity index is zero;

Described 5th furnace temperature index determining unit, determine described 5th furnace temperature index for adopting following steps:

Obtain the currency based on the various input parameters needed for molten iron silicon content predictive model determination blast furnace molten iron silicon content;

Based on the currency of the described various input parameters obtained, according to described molten iron silicon content predictive model, determine blast furnace molten iron silicon content;

When described blast furnace molten iron silicon content is greater than the first default blast-melted silicon threshold value, determine that the 5th furnace temperature index is the described first default furnace temperature index;

When described blast furnace molten iron silicon content is less than the second default blast-melted silicon threshold value, determine that described 5th furnace temperature index is the described second default furnace temperature index, wherein, described first presets blast-melted silicon threshold value is greater than the described second default blast-melted silicon threshold value;

Otherwise, determine that described 5th furnace temperature index is zero;

Described variation tendency determining unit, specifically for based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, determine the variation tendency of blast furnace temperature.

8. device as claimed in claim 7, is characterized in that, described lip temperature index is carry out to blast furnace throat the lip temperature sum that cross temperature obtains, divided by 4 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains;

Described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by 5 times of top temperature mean value carrying out the furnace throat temperature that described cross temperature obtains; Or, described core temperature index be carry out core temperature that described cross temperature obtains with by paracentral 4 temperature sums, divided by carry out 5 times of top temperature mean value of the furnace throat temperature that described cross temperature obtains with the product of preset constant, described preset constant is greater than 1.

9. device as claimed in claim 7, is characterized in that, described 5th furnace temperature index determining unit, also for adopting following steps to determine described molten iron silicon content predictive model:

In preset time period, according to prefixed time interval, gather the various input values of consult volume of molten iron silicon content predictive model, and respectively multiple values of the often kind of input parameter gathered are normalized, obtain the various input values of consult volume after normalization method;

In described preset time period, when producing blast-melted, gather the described blast-melted molten iron silicon content now produced;

Based on the molten iron silicon content of multi collect, carry out curve fitting according to time shaft, obtain molten iron silicon content curve in described preset time period;

Determine in described molten iron silicon content curve, according to the molten iron silicon content that each sampling instant of described prefixed time interval is corresponding;

Based on the various input values of consult volume after described normalization method, and the molten iron silicon content corresponding according to each sampling instant of described prefixed time interval determined, set up molten iron silicon content predictive model according to support vector regression method.

10. the device as described in as arbitrary in claim 7-9, it is characterized in that, described variation tendency determining unit, specifically for based on described first furnace temperature index, and the described second furnace temperature index determined, described 3rd furnace temperature index, in the 5th furnace temperature index described in described 4th furnace temperature exponential sum one of at least, and the weight that each furnace temperature exponent pair is answered, be weighted summation, obtain furnace temperature aggregative index;

When described furnace temperature aggregative index is greater than the first furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature raises, described first furnace temperature index threshold is greater than zero and is less than described first presets furnace temperature index;

When described furnace temperature aggregative index is less than the second furnace temperature index threshold, determine that the variation tendency of blast furnace temperature is that temperature reduces, described second furnace temperature index threshold is greater than described second and presets furnace temperature index and be less than zero, and the described second default furnace temperature index is the described first negative default furnace temperature index;

Otherwise, determine that blast furnace temperature variation tendency is for maintaining the temperature in zone of reasonableness.