CN104805240A - Method for judging liquid permeability of lower part of blast furnace - Google Patents
Method for judging liquid permeability of lower part of blast furnace Download PDFInfo
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- CN104805240A CN104805240A CN201510234107.7A CN201510234107A CN104805240A CN 104805240 A CN104805240 A CN 104805240A CN 201510234107 A CN201510234107 A CN 201510234107A CN 104805240 A CN104805240 A CN 104805240A
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Abstract
The invention discloses a method for judging liquid permeability of a lower part of a blast furnace. The method is characterized by comprising the following steps of performing a model-establishing stage for establishing an equation between molten iron temperatures and blast furnace operation conditions according to multiple historical data of molten iron temperatures and multiple historical data of blast furnace operation conditions; providing the historical data of the blast furnace operation conditions; performing an algorithm with a regress analysis method on the historical data of the molten iron temperatures and the historical data of the blast furnace operation conditions to obtain the equation between the molten iron temperatures and the blast furnace operation conditions; performing an online analysis stage for judging the liquid permeability of the lower part of the blast furnace by using the equation between the molten iron temperatures and the blast furnace operation conditions; acquiring the online blast furnace operation conditions data corresponding to the online molten iron temperatures; calculating a molten iron temperature reference value by the online blast furnace operation conditions data and the equation between the molten iron temperatures and the blast furnace operation conditions; performing a liquid permeability judgment step for judging the liquid permeability of the lower part of the blast furnace according to the molten iron temperature reference value and the online molten iron temperatures.
Description
Technical field
The present invention relates to a kind of determination methods for State of Blast Furnace bottom liquid permeability and judgement system.
Background technology
Blast furnace for smelting iron is comprise gaseous state, liquid state and solid-state reactor.In stove bottom in blast furnace, stove stamen (deadman) piles up the coke solids not yet participating in reacting.The accumulation porosity of stove stamen and scum solidify situation can affect the air flow method of stove bottom and the flowing of molten iron, and then affects the lose situation of hearth lining in blast furnace, goes out the quality of iron micro ball and molten iron.In brief, stove stamen situation is relevant for the life-span to the stove of tap a blast furnace production capacity and siege.If can effectively grasp stove stamen situation and carry out the management of siege, effectively can improve production capacity and extend stove for the life-span.But stove stamen situation, in the process run down, does not have obvious sign, until stove stamen situation severe exacerbation.
By the mode of actual measurement, directly measure the data that can for judge, accurately can judge stove stamen situation.The method of actual measurement is, under the state that blast furnace suspends running, iron staff is utilized to be goed deep into measuring in blast furnace the degree of depth in Feng Jing district by air-blast nozzle, test the loosening degree in Feng Jing district simultaneously, and carry out the sampling analysis of stove stamen coke, by observing the scum amount of coke powder size and radially-arranged situation, the aggregate amount of not firing fine coal and delay, to judge the situation of stove stamen and assessment coke quality and Pulverized Coal Combustion Status.But, under the state that aforesaid method must suspend running at blast furnace, the effect of monitoring State of Blast Furnace stamen situation in real time cannot be reached.
The other method of actual measurement is, under the state of blast furnace running, utilize tellurometer survey from the radial temperature profile of air-blast nozzle high level and measured depth, or make tracer with radioactive substance, the coke replacing velocity of observing the flow path of molten iron in Lu Rui district and different positions judges stove stamen situation.But aforesaid method can reduce the accuracy judging stove stamen situation because interfering factors.
On the other hand, under shortage directly measures the data that can for judge, the sign only by presenting during observation stove stamen situation severe exacerbation, cannot maintain the good working of a furnace by adjustment blast furnace operating mode again.
Because above-mentioned problem, the existing method estimating stove stamen situation at present, judges whether stove stamen situation has started to worsen, in order to timely adjustment blast furnace operating mode, and then maintains the good working of a furnace.
For this reason, people devise first method, utilize the difference of the actual carbon content of molten iron and saturated carbon content, molten iron temperature and basicity to define stove stamen cleanliness factor index (deadman cleanliness index; DCI).Wherein, represent the peace and quiet degree of stove stamen with the difference of molten iron carbon content and saturated carbon content, and present the mobility of scum in stove stamen with molten iron temperature and basicity.The shortcoming of this method is that stove stamen cleanliness factor pointer amplitude of fluctuation is comparatively large, and the dependency of stove stamen situation is not high.
Second method, utilize scum to flow to and the difference of resistance to flow number of discharging to weigh the activity of siege.The shortcoming of this method is that the resistance to flow number that scum flows to and discharges accurately cannot obtain under the state of blast furnace running, therefore is not suitable for real-time monitoring.
The third method, defines siege activity index with the ratio of bottom temperature weights and siege temperature weights, as the reference of stove lower gas distribution adjustment, and then judges stove stamen situation.But bottom temperature and siege temperature, except having mutually with molten iron temperature, are also subject to composition and the impact such as thickness and cooling conditions of the residual thickness of carbon brick, the scum solidification layer on carbon brick surface in stove, therefore utilize this method cannot accurate evaluation stove stamen situation.
Summary of the invention
The technical problem to be solved in the present invention is the present situation for prior art, determination methods and the system thereof of a kind of State of Blast Furnace bottom liquid permeability are provided, it can judge the stove bottom liquid permeability of blast furnace according to online molten iron temperature, in order to the reference adjusted as blast furnace, and then maintain the good working of a furnace and high production capacity.
The present invention solve the technical problem adopted technical scheme: the determination methods of a kind of State of Blast Furnace bottom liquid permeability, is characterized in that, comprise:
Carry out the modelling phase, in order to according to multiple history molten iron temperature data and multiple history blast furnace operating condition data sets up molten iron temperature and blast furnace operating condition closes equation, wherein this modelling phase comprises: provide described history molten iron temperature data; Described history blast furnace operating condition data is provided, history blast furnace operating condition data described in wherein said history molten iron temperature data one_to_one corresponding, history blast furnace operating condition data described in each comprises history blast temperature, history blast humidity, history air blast Rich Oxygen Amount, history pulverized coal injection rate, history blast volume, history flame temperature, history blast-furnace coke rate and history molten iron silicon content; And algorithm with regress analysis method is carried out to described history molten iron temperature data and described history blast furnace operating condition data, to obtain this molten iron temperature and blast furnace operating condition closes equation; And carry out the on-line analysis stage, to utilize this molten iron temperature and blast furnace operating condition to close equation to judge this State of Blast Furnace bottom liquid permeability, wherein this on-line analysis stage comprises: the online molten iron temperature detecting this blast furnace; Obtain the online blast furnace operating condition data corresponding to this online molten iron temperature, wherein this online blast furnace operating condition data comprises online blast temperature, online blast humidity, online air blast Rich Oxygen Amount, online pulverized coal injection rate, online blast volume, online flame temperature, online blast-furnace coke rate and online molten iron silicon content; This online blast furnace operating condition data and this molten iron temperature and blast furnace operating condition is utilized to close equation to calculate molten iron temperature reference value; And carry out liquid permeability determining step, to judge this State of Blast Furnace bottom liquid permeability according to this molten iron temperature reference value and this online molten iron temperature.
Further, described molten iron temperature and blast furnace operating condition are closed equation and are:
HMTcal=1508+0.00796*BT-0.188*BM+2.526*O2R-0.237*PCR+0.01 13*BV-0.000681*TFT-0.176*CR+73.48*Si; Wherein, HMTcal is molten iron temperature reference value, and BT is blast temperature, and BM is blast humidity, and O2R is air blast Rich Oxygen Amount, and PCR is pulverized coal injection rate, and BV is blast volume, and TFT is blast furnace flame temperature, and CR is blast-furnace coke rate, and Si is silicon content of hot metal.
Further, described liquid permeability determining step comprises: deduct this molten iron temperature reference value with this online molten iron temperature, to obtain molten iron temperature difference index; And judge this State of Blast Furnace bottom liquid permeability according to this molten iron temperature difference index.
Further, described liquid permeability determining step also comprises: when this molten iron temperature difference desired value is negative value, carry out stove stamen activation step, to activate the stove stamen of this blast furnace.
In addition, present invention also offers the judgement system of a kind of State of Blast Furnace bottom liquid permeability, it is characterized in that, comprise: model building module, in order to carry out algorithm with regress analysis method to multiple history molten iron temperature data and multiple history blast furnace operating condition data, to obtain molten iron temperature and blast furnace operating condition closes equation, history blast furnace operating condition data described in wherein said history molten iron temperature data one_to_one corresponding, described in each, history blast furnace operating condition data comprises history blast temperature, history blast humidity, history air blast Rich Oxygen Amount, history pulverized coal injection rate, history blast volume, history flame temperature, history blast-furnace coke rate and history molten iron silicon content, data acquisition module, in order to obtain the online blast furnace operating condition data corresponding to the online molten iron temperature of this blast furnace and this online molten iron temperature, wherein this online blast furnace operating condition data comprises online blast temperature, online blast humidity, online air blast Rich Oxygen Amount, online pulverized coal injection rate, online blast volume, online flame temperature, online blast-furnace coke rate and online molten iron silicon content, and liquid permeability judge module, judge this State of Blast Furnace bottom liquid permeability in order to close equation, this online blast furnace operating condition data and online molten iron temperature according to this molten iron temperature and blast furnace operating condition.
Further, described molten iron temperature and blast furnace operating condition are closed equation and are:
HMTcal=1508+0.00796*BT-0.188*BM+2.526*O2R-0.237*PCR+0.01 13*BV-0.000681*TFT-0.176*CR+73.48*Si; Wherein, HMTcal is molten iron temperature reference value, and BT is blast temperature, and BM is blast humidity, and O2R is air blast Rich Oxygen Amount, and PCR is pulverized coal injection rate, and BV is blast volume, and TFT is blast furnace flame temperature, and CR is blast-furnace coke rate, and Si is silicon content of hot metal.
Further, described liquid permeability judge module comprises: molten iron temperature difference pointer computing module, in order to this online molten iron temperature is deducted this molten iron temperature reference value, to obtain molten iron temperature difference index; And molten iron temperature difference pointer processing module, in order to judge the stove bottom liquid permeability of this blast furnace according to this molten iron temperature difference index.
Further, when described molten iron temperature difference desired value is negative value, this liquid permeability judge module judges that this State of Blast Furnace bottom liquid permeability is deteriorated and the message that gives a warning.
Further, described warning message is audio mail or message language.
Compared with prior art, owing to the invention has the advantages that: by carrying out the modelling phase, set up molten iron temperature to utilize model building module according to many history molten iron temperature data and many history blast furnace operating condition data and blast furnace operating condition closes equation; Carry out the on-line analysis stage, online molten iron temperature data and corresponding online blast furnace operating condition is captured to utilize data acquisition module, and utilize molten iron temperature and blast furnace operating condition to close equation to calculate molten iron temperature reference value, to judge the stove bottom liquid permeability of blast furnace.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of blast furnace in the present invention;
Fig. 2 is the schematic diagram of the liquid permeability determination methods flow process of embodiment of the present invention State of Blast Furnace bottom;
Fig. 3 A is the schematic diagram of the molten iron temperature difference index that checking that the embodiment of the present invention is carried out obtains;
Fig. 3 B is the schematic diagram of the coke strenth that checking that the embodiment of the present invention is carried out obtains;
Fig. 3 C is the schematic diagram of the coke median size that checking that the embodiment of the present invention is carried out obtains;
Fig. 3 D is the schematic diagram of the siege temperature that checking that the embodiment of the present invention is carried out obtains;
Fig. 3 E is the schematic diagram of the bottom temperature that checking that the embodiment of the present invention is carried out obtains;
Fig. 4 is the schematic diagram that the liquid permeability of embodiment of the present invention State of Blast Furnace bottom judges system.
Embodiment
Below in conjunction with accompanying drawing embodiment, the present invention is described in further detail.
As shown in Figure 1, blast furnace 100 mainly comprises feeding device 102, air-blast nozzle 104, siege 106 and iron notch 108.The agent structure of blast furnace 100 is build the void reactor of fire proofed wood and cooling system in iron-clad.Feeding device 102 is positioned at the furnace roof of blast furnace 100, and air-blast nozzle 104, siege 106 and iron notch 108 are then the stove bottoms being positioned at blast furnace 100.Feeding device 102 provides the iron-smelting raw materials such as iron-bearing material, coke and fusing assistant such as such as agglomerate, block iron ore or chou ore deposit to enter path in blast furnace 100 stove.The warm air of air-blast nozzle 104 needed for ironmaking processing procedure enters into the passage of blast furnace 100 inside.Unreacted coke forms stove stamen 110 on siege 106.In addition, the molten iron produced after siege 106 also responding and slag.The fire proofed wood of siege 106 and furnace bottom is mainly based on carbon brick.The path of process that iron notch 108 is molten iron.In operation, first iron-smelting raw material is fed into stove by the feeding device 102 being positioned at blast furnace 100 furnace roof district.Then, in the process that iron-smelting raw material declines in stove, heat exchange and reduction reaction can be carried out with the hot blast blasted by air-blast nozzle 104.Molten iron and the slag of reaction institute output flow into siege 106, then are flowed out to outside stove by iron notch 108.The molten iron produced by above-mentioned steps can be used for the processing procedure of follow-up steel-making.
In FIG, the situation of stove stamen 110 can affect the carrying out of scum flowing and the reaction of stove bottom, and the result that the reaction of stove bottom produces also can affect the situation of stove stamen 110.The comprehensive thermal change produced at ironmaking processing procedure can be reacted in the temperature of molten iron.Therefore, by learning molten iron temperature, the liquid permeability of blast furnace 110 stove bottom indirectly can be judged.
As shown in Figure 2, the determination methods 200 of State of Blast Furnace bottom liquid permeability is in order to monitor the liquid permeability of blast furnace 100 stove bottom in real time.The determination methods 200 of State of Blast Furnace bottom liquid permeability comprises modelling phase 210 and on-line analysis stage 220.Modelling phase 210 is according to history molten iron temperature data and history blast furnace operating condition data sets up molten iron temperature and blast furnace operating condition closes equation.On-line analysis step 220 closes by molten iron temperature and blast furnace operating condition the liquid permeability that equation judges blast furnace 100 stove bottom.In the present invention, the molten iron temperature data obtained when history molten iron temperature data and history blast furnace operating condition data refer to prior operation and the blast furnace operating condition data used.
In the modelling phase 210, first carrying out historical data provides step 212, provides multiple history molten iron temperature data and many group history blast furnace operating condition data.History molten iron temperature data one_to_one corresponding history blast furnace operating condition data.Each group history blast furnace operating condition data comprises history blast temperature, history blast humidity, history air blast Rich Oxygen Amount, history pulverized coal injection rate, history blast volume, history flame temperature, history blast-furnace coke rate and history molten iron silicon content.Such as, when molten iron temperature data are recorded, when these molten iron temperature data are noted down, the blast temperature that blast furnace adopts, blast humidity, air blast Rich Oxygen Amount, pulverized coal injection rate, blast volume, flame temperature blast-furnace coke rate and molten iron silicon content also can be recorded and be used as the history blast furnace operating condition data corresponding to molten iron temperature data.
Then, carry out regression analysis calculation procedure 214, algorithm with regress analysis method is carried out to history molten iron temperature data and history blast furnace operating condition data, to obtain molten iron temperature and blast furnace operating condition closes equation.Molten iron temperature and blast furnace operating condition are closed equation and can be expressed as follows:
HMTcal＝F(BT,BM,O2R,PCR,BV,TFT,CR,Si)， (1)
Wherein, HMTcal represents molten iron temperature reference value, F function is the function relevant to blast furnace operating condition, BT represents blast temperature (unit for DEG C), BM represents blast humidity (unit is g/Nm3), O2R represents air blast Rich Oxygen Amount (unit is %), PCR represents pulverized coal injection rate (unit is kg/THM), BV represents blast volume (unit is Nm3/min), TFT represents blast furnace flame temperature (unit for DEG C), CR represents blast-furnace coke rate (unit is kg/THM), and Si represents silicon content of hot metal (unit is %).
In embodiments of the present invention, the molten iron temperature obtained via regression Calculation history molten iron temperature data and history blast furnace operating condition data and blast furnace operating condition are closed equation and are:
HMTcal＝1508+0.00796*BT-0.188*BM+2.526*O2R-0.237*PCR+0.0113*BV-0.000681*TFT-0.176*CR+73.48*Si。(2)
It should be noted that above-mentioned molten iron temperature and blast furnace operating condition to be closed in equation and to be not used to limit the scope of the invention.Those skilled in the art work as can according to Different factor, the such as factor such as history molten iron temperature data and history blast furnace operating condition data number number, does corresponding adjustment (such as adjusting number or constant) for aforesaid equation.Such as, after blast furnace carries out annual repairs, the state of blast furnace may change to some extent, therefore those skilled in the art are when carrying out a modelling phase 210 again, to set up new pass equation.
After modelling phase 210 completes, then carry out the on-line analysis stage 220.First, carry out online molten iron temperature data and obtain step 222, the online molten iron temperature of detecting blast furnace 100.Online molten iron temperature refers to the molten iron temperature produced after iron-smelting raw material reacts in blast furnace 100.Next, carry out online blast furnace operating data and obtain step 224, obtain the online blast furnace operating condition data corresponding to online molten iron temperature.Online blast furnace operating condition data is the blast furnace operating condition data of the ironmaking processing procedure being used in well afoot.Similarly, online blast furnace operating condition data comprises blast temperature, blast humidity, air blast Rich Oxygen Amount, pulverized coal injection rate, blast volume, flame temperature, blast-furnace coke rate and the molten iron silicon content in use.
After obtaining online molten iron temperature and online blast furnace operating condition data, then carry out molten iron temperature reference value calculation procedure 226, utilize online blast furnace operating condition data and molten iron temperature and blast furnace operating condition to close equation to calculate molten iron temperature reference value.That is, all parameters of online blast furnace operating condition data are substituting to molten iron temperature and blast furnace operating condition closes equation, to calculate molten iron temperature reference value.
Then, carry out stove bottom liquid permeability determining step 228, judge the stove bottom liquid permeability of blast furnace according to the molten iron temperature reference value calculated and online molten iron temperature.Utilize following pass formula, first calculate molten iron temperature difference index:
DHMT_Index＝HMTact-HMTcal， (3)
Wherein, DHMT_Index represents molten iron temperature difference index, and HMTact represents online molten iron temperature.After trying to achieve molten iron temperature difference index, just can judge the liquid permeability of blast furnace 100 stove bottom according to molten iron temperature difference index.
The molten iron temperature difference index obtained according to the embodiment of the present invention can judge being explained as follows of the liquid permeability of blast furnace 100 stove bottom.As shown in Figure 1, stove stamen 110 top is for providing high-temperature gas, carrying out the place of heat exchange and reaction between scum and coke.After scum flows to stove stamen 110 bottom, just there is no extra thermal source.On the other hand, scum flows through the reaction that stove stamen 110 carries out, and comprises the reduction reaction of oxide compound in the reaction of aqueous fusion carbon and scum, all belongs to strong thermo-negative reaction, the temperature of molten iron can be caused to reduce.When heat source insufficiency in blast furnace 110, after iron oxide reduction, between the coke freezing solidly on stove stamen 110, not activating of stove stamen 110 can be caused.The cured article be deposited on stove stamen 110 to be melted again, need to increase a large amount of heat energy again.
From the above, when stove stamen 110 situation is better, the temperature of stove stamen 110 is higher, when making scum flow through stove stamen 110, can obtain more heat energy, and produce reduction reaction less, thus molten iron temperature rises, and molten iron temperature difference index present on the occasion of.On the contrary, when stove stamen 110 situation is poor, the temperature of stove stamen 110 is lower, and the heat energy obtained when making scum flow through stove stamen 110 is less, and thus molten iron temperature reduces, and molten iron temperature difference index presents negative value.And in the reactivation process of stove stamen 110, scum with the thin coke gasification reaction on stove stamen 110, or can melt the coagulum between coke, molten iron temperature also can be lower.
Now with experimental data before for according to being described, as shown in fig.3 a 3 c, it is respectively the schematic diagram of molten iron temperature difference pointer, coke strenth and the median size that the embodiment of the present invention obtains in the checking that year March in September, 2010 to 2012 carries out.In view of this, in figure 3 a, molten iron temperature difference index presents downward trend between year March in September, 2010 to 2011, between year November in April, 2011 to 2011, then present the trend of rising, finally between year March in December, 2011 to 2012, presents downward trend.In figure 3b, coke strenth presents downward trend between year March in September, 2010 to 2011, between year November in April, 2011 to 2011, then present the trend of rising, finally between year March in December, 2011 to 2012, presents downward trend.With regard to coke median size, as shown in Figure 3 C, coke median size presents the trend of walking unhurriedly and improving before in November, 2011, until start in December, 2011 just to reduce.The trend that comparison diagram 3A ~ 3C presents is known, and from April, 2011, the trend of molten iron temperature difference index, coke strenth and coke median size is roughly the same.Therefore, between molten iron temperature difference pointer and coke quality, there is certain degree dependency.
As shown in Fig. 3 D, 3E, it is respectively the schematic diagram of siege temperature that the embodiment of the present invention checking that year March carries out in September, 2010 to 2012 obtains and bottom temperature.During year December in September, 2010 to 2010, stove stamen 110 middle and upper part in order, makes scum can smoothly by stove stamen, and the duration of contact of scum and coke is short, manganese reduction reaction and the reaction of molten carbon comparatively incomplete.On the other hand, stove stamen 110 can be penetrated smoothly at the high-temperature gas of blast furnace 100 Nei Fengjing district (figure does not illustrate), heat exchange is carried out with the coke in stove stamen 110, make scum by time can obtain more heat, the degree that molten iron temperature reduces is comparatively limited, makes molten iron temperature difference index thus maintain higher position.Stove stamen 110 to furnace bottom can be passed through smoothly because of the molten iron that temperature is higher again, make the temperature of furnace bottom increase, and the temperature of siege is declined, as shown in figures 3 d and 3e.Therefore, during year December in September, 2010 to 2010, the liquid permeability of stove bottom is better.
Then, during year March in January, 2011 to 2011, the situation on stove stamen 110 top transfers to poor, and the coke fines in stove stamen 110 increases, and elongates the duration of contact of scum and coke, and manganese reduction reaction and the reaction of molten carbon become comparatively complete.But because the liquid permeability of stove stamen 110 middle and lower part changes poor pass into, the iron water amount toward furnace bottom stream also and then tails off, and also makes the iron water amount directly flowing to iron notch 108 without holding furnace floor iron water increase.At this moment wait, molten iron temperature difference index transfers negative value to gradually, and the temperature of furnace bottom rises gradually, and the temperature of siege declines gradually, as shown in figures 3 d and 3e.Therefore, during year March in January, 2011 to 2011, the liquid permeability of stove bottom is deteriorated gradually.
When in April, 2011, carry out stove stamen reactivation process, first the condition on stove stamen 110 top is better, the amount making scum flow through stove stamen 110 becomes many gradually, and scum gradually going be deposited in thin coke and the scum coagulum of stove stamen 110, thus the coke of stove stamen 110 is substituted gradually by outside stove stamen 110, and deepens gradually in the degree of depth that the high-temperature gas of Feng Jing district (figure do not illustrate) penetrates stove stamen 110, the amount penetrated also becomes many gradually, more accelerates the activation of stove stamen 110.The above is strong endothermic reaction.Therefore, during stove stamen reactivation process, the liquid permeability of stove bottom changes into better, and the temperature of molten iron comparatively normality is low, and as shown in Fig. 3 A, 3D and 3E, molten iron temperature difference index is tending towards negative value, and bottom temperature raises gradually, and siege temperature slightly declines.
In addition, under stove stamen 110 situation extreme degradation, stove stamen 110 is not easily penetrated at the high-temperature gas of Feng Jing district (figure does not illustrate), stove stamen 110 coke temperature with reduction, and the amount that scum flows through stove stamen 110 tails off gradually, most scum is in the flows outside of stove stamen 110, and therefore the touch opportunity of scum and coke tails off.But, the time directly dropping down onto siege 106 due to scum shortens, although scum directly and the high-temperature gas chance of carrying out heat exchange become many, but because the heat conduction efficiency between liquids and gases is comparatively poor between liquid and solid, so the temperature of molten iron comparatively normality be low, molten iron temperature difference index presents negative value, and the temperature of blast furnace 100 furnace roof raises, and has increased the weight of the thermal load of blast furnace 100 bosh area.
When in August, 2011, because the constant temperature of furnace bottom is positioned at top grade, bring into use titaniferous additive, reduce the work-ing life of blast furnace 100 to avoid bottom temperature too high.But, after adding titaniferous additive, cause the liquid permeability of stove stamen 110 bottom to be deteriorated.Therefore, in October, 2011, ironmaking processing procedure uses all-coke operation mode instead, and to improve the situation on stove stamen 110 top, and the situation of stove stamen 110 bottom is still poor.As shown in Fig. 3 A, 3D and 3E, now molten iron temperature difference index maintain on the occasion of, bottom temperature raises gradually, and simultaneously siege temperature and bottom temperature also decline.
Comprehensively above-mentioned, via long-term checking, find that the dependency of molten iron temperature difference index and stove stamen situation is high, therefore the liquid permeability of stove bottom can be judged according to molten iron temperature difference index, if discovery Indexes Abnormality, the operations factor of ironmaking processing procedure can be adjusted in real time, to maintain the working of a furnace of blast furnace.
As shown in Figure 4, judgement system 400 is in order to monitor the liquid permeability of blast furnace 100 stove bottom in real time.Judgement system 400 comprises model building module 410, data acquisition module 420 and liquid permeability judge module 430.Model building module 410 carries out algorithm with regress analysis method to history molten iron temperature data and history blast furnace operating condition data in step 214, to obtain molten iron temperature and blast furnace operating condition closes equation, shown in (2).Data acquisition module 420 obtains the online molten iron temperature of blast furnace 100 and the online blast furnace operating condition data corresponding to online molten iron temperature in step 222 and 224.Liquid permeability judge module 430 judges the stove bottom liquid permeability of blast furnace in order to close equation, online blast furnace operating condition data and online molten iron temperature according to molten iron temperature and blast furnace operating condition.Liquid permeability judge module 430 comprises molten iron temperature difference pointer computing module 432 and molten iron temperature difference pointer processing module 434.Online molten iron temperature, in step 226, is deducted molten iron temperature reference value by molten iron temperature difference pointer computing module 432, shown in (3), to obtain molten iron temperature difference index.Molten iron temperature difference pointer processing module 434, in step 228, judges the liquid permeability of blast furnace 100 stove bottom according to molten iron temperature reference value and online molten iron temperature.
In one embodiment, if molten iron temperature difference index is negative value, liquid permeability judge module judges that the stove bottom liquid permeability of blast furnace is deteriorated, and the message that can give a warning.This warning message can be audio mail or message language.
The embodiment that the present invention discloses, in ironmaking processing procedure, can judge the stove bottom liquid permeability of blast furnace according to online molten iron temperature.Compared to prior art, the embodiment of the present invention does not need first blowing out just can reach the effect accurately judging conditions of blast furnace, adds operational convenience.In addition, judged result also can be used as the reference of blast furnace adjustment, and then maintains the good working of a furnace and high production capacity.
In addition, the determination methods 200 of the State of Blast Furnace bottom liquid permeability of above-described embodiment can utilize computer program to realize, it can comprise the machine-readable media storing multiple instruction, these instruction programmable computers (the middle control computer of such as blast furnace) realize the judgement system 400 of the embodiment State of Blast Furnace bottom liquid permeability of above-described embodiment, to carry out the step in the determination methods 200 of State of Blast Furnace bottom liquid permeability.Machine-readable media can be, but be not limited to floppy disk, CD, read-only optical disc, magneto-optic disk, read-only storage, random access memory, can erase can program read-only memory, electronics can erase can program read-only memory, light-card or magnetic card, flash memory or any machine-readable media being suitable for stored electrons instruction.Moreover the embodiment of the present invention also can be downloaded as computer program, it is transferred to requesting computer by using the data signals of communication connection (connection of such as network on-line and so on) from remote computer.
Claims (9)
1. a determination methods for State of Blast Furnace bottom liquid permeability, is characterized in that, comprises:
Carry out the modelling phase, in order to according to multiple history molten iron temperature data and multiple history blast furnace operating condition data sets up molten iron temperature and blast furnace operating condition closes equation, wherein this modelling phase comprises: provide described history molten iron temperature data; Described history blast furnace operating condition data is provided, history blast furnace operating condition data described in wherein said history molten iron temperature data one_to_one corresponding, history blast furnace operating condition data described in each comprises history blast temperature, history blast humidity, history air blast Rich Oxygen Amount, history pulverized coal injection rate, history blast volume, history flame temperature, history blast-furnace coke rate and history molten iron silicon content; And algorithm with regress analysis method is carried out to described history molten iron temperature data and described history blast furnace operating condition data, to obtain this molten iron temperature and blast furnace operating condition closes equation; And carry out the on-line analysis stage, to utilize this molten iron temperature and blast furnace operating condition to close equation to judge this State of Blast Furnace bottom liquid permeability, wherein this on-line analysis stage comprises: the online molten iron temperature detecting this blast furnace; Obtain the online blast furnace operating condition data corresponding to this online molten iron temperature, wherein this online blast furnace operating condition data comprises online blast temperature, online blast humidity, online air blast Rich Oxygen Amount, online pulverized coal injection rate, online blast volume, online flame temperature, online blast-furnace coke rate and online molten iron silicon content; This online blast furnace operating condition data and this molten iron temperature and blast furnace operating condition is utilized to close equation to calculate molten iron temperature reference value; And carry out liquid permeability determining step, to judge this State of Blast Furnace bottom liquid permeability according to this molten iron temperature reference value and this online molten iron temperature.
2. determination methods according to claim 1, is characterized in that: described molten iron temperature and blast furnace operating condition are closed equation and be:
HMTcal=1508+0.00796*BT-0.188*BM+2.526*O2R-0.237*PCR+0.01 13*BV-0.000681*TFT-0.176*CR+73.48*Si; Wherein, HMTcal is molten iron temperature reference value, and BT is blast temperature, and BM is blast humidity, and O2R is air blast Rich Oxygen Amount, and PCR is pulverized coal injection rate, and BV is blast volume, and TFT is blast furnace flame temperature, and CR is blast-furnace coke rate, and Si is silicon content of hot metal.
3. determination methods according to claim 1, is characterized in that: described liquid permeability determining step comprises: deduct this molten iron temperature reference value with this online molten iron temperature, to obtain molten iron temperature difference index; And judge this State of Blast Furnace bottom liquid permeability according to this molten iron temperature difference index.
4. determination methods according to claim 3, is characterized in that: described liquid permeability determining step also comprises: when this molten iron temperature difference desired value is negative value, carry out stove stamen activation step, to activate the stove stamen of this blast furnace.
5. the judgement system of a State of Blast Furnace bottom liquid permeability, it is characterized in that, comprise: model building module, in order to carry out algorithm with regress analysis method to multiple history molten iron temperature data and multiple history blast furnace operating condition data, to obtain molten iron temperature and blast furnace operating condition closes equation, history blast furnace operating condition data described in wherein said history molten iron temperature data one_to_one corresponding, described in each, history blast furnace operating condition data comprises history blast temperature, history blast humidity, history air blast Rich Oxygen Amount, history pulverized coal injection rate, history blast volume, history flame temperature, history blast-furnace coke rate and history molten iron silicon content, data acquisition module, in order to obtain the online blast furnace operating condition data corresponding to the online molten iron temperature of this blast furnace and this online molten iron temperature, wherein this online blast furnace operating condition data comprises online blast temperature, online blast humidity, online air blast Rich Oxygen Amount, online pulverized coal injection rate, online blast volume, online flame temperature, online blast-furnace coke rate and online molten iron silicon content, and liquid permeability judge module, judge this State of Blast Furnace bottom liquid permeability in order to close equation, this online blast furnace operating condition data and online molten iron temperature according to this molten iron temperature and blast furnace operating condition.
6. judgement system according to claim 5, is characterized in that: described molten iron temperature and blast furnace operating condition are closed equation and be:
HMTcal=1508+0.00796*BT-0.188*BM+2.526*O2R-0.237*PCR+0.01 13*BV-0.000681*TFT-0.176*CR+73.48*Si; Wherein, HMTcal is molten iron temperature reference value, and BT is blast temperature, and BM is blast humidity, and O2R is air blast Rich Oxygen Amount, and PCR is pulverized coal injection rate, and BV is blast volume, and TFT is blast furnace flame temperature, and CR is blast-furnace coke rate, and Si is silicon content of hot metal.
7. judgement system according to claim 5, is characterized in that: described liquid permeability judge module comprises: molten iron temperature difference pointer computing module, in order to this online molten iron temperature is deducted this molten iron temperature reference value, to obtain molten iron temperature difference index; And molten iron temperature difference pointer processing module, in order to judge the stove bottom liquid permeability of this blast furnace according to this molten iron temperature difference index.
8. judgement system according to claim 7, is characterized in that: when described molten iron temperature difference desired value is negative value, and this liquid permeability judge module judges that this State of Blast Furnace bottom liquid permeability is deteriorated and the message that gives a warning.
9. judgement system according to claim 8, is characterized in that: described warning message is audio mail or message language.
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| CN201510234107.7A CN104805240A (en) | 2015-05-09 | 2015-05-09 | Method for judging liquid permeability of lower part of blast furnace |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991069A (en) * | 2019-12-12 | 2020-04-10 | 神华北电胜利能源有限公司 | Wet-based oxygen-based boiler efficiency calculation method, storage medium and electronic equipment |
| CN114741859A (en) * | 2022-03-31 | 2022-07-12 | 鞍钢股份有限公司 | Device and method for simulating permeability of blast furnace charge column |
| CN114741859B (en) * | 2022-03-31 | 2024-10-22 | 鞍钢股份有限公司 | Device and method for simulating liquid permeability of blast furnace charging post |
-
2015
- 2015-05-09 CN CN201510234107.7A patent/CN104805240A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991069A (en) * | 2019-12-12 | 2020-04-10 | 神华北电胜利能源有限公司 | Wet-based oxygen-based boiler efficiency calculation method, storage medium and electronic equipment |
| CN110991069B (en) * | 2019-12-12 | 2023-09-12 | 神华北电胜利能源有限公司 | Boiler efficiency calculating method based on wet oxygen, storage medium and electronic equipment |
| CN114741859A (en) * | 2022-03-31 | 2022-07-12 | 鞍钢股份有限公司 | Device and method for simulating permeability of blast furnace charge column |
| CN114741859B (en) * | 2022-03-31 | 2024-10-22 | 鞍钢股份有限公司 | Device and method for simulating liquid permeability of blast furnace charging post |
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Application publication date: 20150729 |