EP3712281B1 - Blast control device for blast furnace and method therefor - Google Patents
Blast control device for blast furnace and method therefor Download PDFInfo
- Publication number
- EP3712281B1 EP3712281B1 EP18879916.7A EP18879916A EP3712281B1 EP 3712281 B1 EP3712281 B1 EP 3712281B1 EP 18879916 A EP18879916 A EP 18879916A EP 3712281 B1 EP3712281 B1 EP 3712281B1
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- European Patent Office
- Prior art keywords
- blast
- blast furnace
- particle size
- data
- volume
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- 238000000034 method Methods 0.000 title claims description 20
- 239000002245 particle Substances 0.000 claims description 45
- 230000035699 permeability Effects 0.000 claims description 25
- 239000000463 material Substances 0.000 claims description 24
- 238000003384 imaging method Methods 0.000 claims description 9
- 238000013528 artificial neural network Methods 0.000 claims description 7
- 238000010191 image analysis Methods 0.000 claims description 6
- 230000032258 transport Effects 0.000 claims 2
- 239000007789 gas Substances 0.000 description 15
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 14
- 229910000805 Pig iron Inorganic materials 0.000 description 9
- 239000000446 fuel Substances 0.000 description 8
- 229910052742 iron Inorganic materials 0.000 description 7
- 239000002994 raw material Substances 0.000 description 7
- 230000009467 reduction Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 239000000571 coke Substances 0.000 description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 239000000470 constituent Substances 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 239000008188 pellet Substances 0.000 description 2
- 230000000087 stabilizing effect Effects 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 229910002091 carbon monoxide Inorganic materials 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/24—Test rods or other checking devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D21/00—Arrangements of monitoring devices; Arrangements of safety devices
- F27D21/0014—Devices for monitoring temperature
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/16—Tuyéres
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27B—FURNACES, KILNS, OVENS, OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
- F27B1/00—Shaft or like vertical or substantially vertical furnaces
- F27B1/10—Details, accessories, or equipment peculiar to furnaces of these types
- F27B1/26—Arrangements of controlling devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27B—FURNACES, KILNS, OVENS, OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
- F27B1/00—Shaft or like vertical or substantially vertical furnaces
- F27B1/10—Details, accessories, or equipment peculiar to furnaces of these types
- F27B1/28—Arrangements of monitoring devices, of indicators, of alarm devices
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B2300/00—Process aspects
- C21B2300/04—Modeling of the process, e.g. for control purposes; CII
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0003—Monitoring the temperature or a characteristic of the charge and using it as a controlling value
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0028—Regulation
- F27D2019/0034—Regulation through control of a heating quantity such as fuel, oxidant or intensity of current
- F27D2019/004—Fuel quantity
- F27D2019/0043—Amount of air or O2 to the burner
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D21/00—Arrangements of monitoring devices; Arrangements of safety devices
- F27D2021/0007—Monitoring the pressure
Definitions
- the present invention relates to a device for controlling a blast in a blast furnace and a method thereof.
- pig iron is manufactured by reducing natural iron ore by use of a carbon monoxide produced in reaction of coke that is a fuel and oxygen.
- a condition of a blast furnace From among various operational factors for indicating an inner furnace condition of a blast furnace in a blast furnace process (referred to as a condition of a blast furnace hereinafter), permeability that represents a gas flowing degree in the furnace is one of very important factors for determining efficiency and safety of a blast furnace operation.
- the blast furnace operation is performed when a reduction gas rises in the furnace to contact the charged iron ore, and the iron ore having received heat according to a contact with the reduction gas is fused and reduced into pig iron.
- thermal energy and the reduction gas needed in fusion and reduction of iron ore are supplied by a hot blast supplied through a lower portion of the furnace, and for the purpose of stabilizing the condition of the blast furnace, it is very important to appropriately control an amount of the hot blast input through the lower portion, that is, a blast volume.
- the blast volume supplied into the furnace is controlled according to the permeability in the furnace.
- the volume of pig iron produced in the blast furnace increases, but there may be a stabilization drawback when the blast volume increases while the permeability in the furnace is not good. Therefore, an operator decreases the blast volume so as to stabilize the operation when permeability in the furnace is bad, and increases the blast volume so as to increase operation efficiency when the permeability is good.
- Particle sizes and particle size distribution of raw material (sintered ore, pellets, sized lumps, etc.) fuels (cokes) charged through an upper portion of the blast furnace determine porosity of a charging layer, which is a very important factor for determining permeability at the upper portion in the furnace.
- the present invention has been made in an effort to provide a device for controlling a blast for confirming a particle size and a particle size distribution of a charging material charged into a furnace in real time and controlling a hot-blast volume supplied therein, and a method thereof.
- An aspect of the present invention provides a device for controlling a blast in a blast furnace, as disclosed in appended claim 1.
- the data collector may obtain the particle size and the particle size distribution of the charging material according to an image analysis of the image.
- the device may further include at least one sensor for obtaining at least one piece of sensing data for indicating permeability of the blast furnace, wherein the blast volume predictor may obtain the blast volume predictive value by using the particle size data and the at least one piece of sensing data.
- the blast volume predictive model may output the blast volume predictive value corresponding to the particle size data and the at least one piece of sensing data.
- the blast volume controller may control the hot-blast volume by controlling an opened or closed degree of a blast valve between a hot stove and the blast furnace.
- Another aspect of the present invention provides a method for controlling a blast in a blast furnace, as disclosed in appended claim 5.
- the obtaining of particle size data may include obtaining a particle size and a particle size distribution of the charging material according to an image analysis on the image.
- the method may further include obtaining at least one piece of sensing data for indicating permeability of the blast furnace through at least one sensor, wherein the obtaining of a blast volume predictive value may include obtaining the blast volume predictive value by using the particle size data and the at least one piece of sensing data.
- the at least one piece of sensing data may include a pressure in the blast furnace, a temperature in the blast furnace, or a gas component discharged from the blast furnace.
- the obtaining of a blast volume predictive value may include obtaining the blast volume predictive value by using the particle size data and the at least one piece of sensing data as input data of a blast volume predictive model for estimating a blast volume of the blast furnace.
- the controlling of a hot-blast volume may include controlling the hot-blast volume by controlling an opened or closed degree of a blast valve between a hot stove and the blast furnace.
- the change of the condition of the blast furnace may be minimized, the blast furnace operation may be stabilized, and efficiency may be increased by confirming the particle size and the particle size distribution of the charging material charged into the furnace and accordingly controlling the blast volume.
- an element when it is described that an element is “coupled” to another element, the element may be “directly coupled” to the other element or “electrically coupled” to the other element through a third element.
- FIG. 1 shows an example of blast furnace equipment.
- the blast furnace equipment is for generating pig iron in a steel process.
- the blast furnace 10 is a furnace into which an iron ore that is a raw material is charged and is fused and reduced to pig iron.
- a burden hopper 11 for storing a raw material or fuel charged through a charging conveyor belt 5 is positioned at an upper portion of the blast furnace 10. The raw material or the fuel stored in the burden hopper 11 is charged into the blast furnace 10 according to a burden charging process.
- a blast port 12 for inputting a hot blast supplied by a hot stove 20 into the blast furnace 10 is positioned on a lower portion of the blast furnace 10.
- An inflow amount of the hot blast supplied by the hot stove 20 into the blast furnace 10 (referred to as a blast volume hereinafter) is controlled according to an opened or closed degree of the blast valve 21.
- the fuel (e.g., cokes) input into the blast furnace 10 is combusted in reaction with oxygen to generate high-temperature gas (referred to as reduction gas hereinafter).
- reduction gas rises in the furnace to contact the iron ore charged into the blast furnace 10.
- the iron ore having received heat according to the contact with the high-temperature reduction gas in the furnace is fused and reduced into pig iron.
- the pig iron fused and reduced in the blast furnace 10 is stored at a lower portion of the furnace, and it is then discharged to the outside of the furnace through a tap hole at regular intervals.
- FIG. 2 shows a device for controlling blast in a blast furnace according to an exemplary embodiment of the present invention.
- the device 100 for controlling a blast may include an imaging device 110, a sensor unit 120, a data collector 130, a permeability parameter storage unit 140, a learner 150, a blast volume predictive model database 160, a blast volume predictor 170, a blast volume controller 180, and a display 190.
- the imaging device 110 is installed on a charging conveyor belt 5, and photographs the raw material (sintered ore, pellets, sized lumps, etc.) or the fuel (coke, etc.) charged into the blast furnace 10 by use of the charging conveyor belt 5.
- the image photographed by the imaging device 110 is used to obtain particle size data (particle sizes and particle size distribution) of the charging material (fuel or raw material). Therefore, a high-quality camera may be used as the imaging device 110 so as to enable obtainment of the particle size and the particle size distribution of the charging material from the image on the charging material.
- the sensor unit 120 includes at least one sensor for measuring factors (e.g., a pressure, a temperature, an exhaust gas component, etc.) for determining permeability inside the blast furnace 10.
- factors e.g., a pressure, a temperature, an exhaust gas component, etc.
- the sensor unit 120 may include a temperature sensor 121 for measuring a temperature inside the blast furnace 10.
- the temperature sensor 121 may be attached to the inside of the blast furnace 10, and it may also be positioned outside the blast furnace 10 to measure the temperature when the pig iron discharged from the blast furnace 10 is tapped. In the latter case, the temperature inside the blast furnace 10 may be estimated from the temperature of the pig iron.
- the sensor unit 120 may include a pressure sensor 122 for measuring the pressure inside the blast furnace 10.
- the sensor unit 120 may also include a gas sensor 123 for detecting a component of an exhaust gas (blast furnace gas) discharged by the blast furnace 10.
- a gas sensor 123 for detecting a component of an exhaust gas (blast furnace gas) discharged by the blast furnace 10.
- the data collector 130 may obtain particle size data (particle sizes and particle size distribution) on the charging material charged to the blast furnace 10 through the charging conveyor belt 5 according to real-time image analysis of the image of the charging material obtained by the imaging device 110. Further, the data collector 130 may obtain sensing data (a temperature, a pressure, an exhaust gas component, etc.) measured by the sensor unit 120 as a permeability parameter.
- the permeability parameters (particle size data and sensing data) obtained in this way may be stored in the permeability parameter storage unit 140 as time-series data. They may also be displayed on a blast furnace operating screen through the display 190 so that an operator may confirm a situation in the blast furnace 10 in real time.
- the learner 150 may learn the permeability parameter (particle size data, sensing data) collected by the data collector 130 as learning data for a predetermined time, and may generate a neural-network-algorithm-based blast volume predictive model.
- the learner 150 may make a neural network learn by using collected permeability parameters and blast volume control values proposed by an expert as neural network algorithm learning data, and may produce a blast volume predictive model for predicting the blast volume based on present permeability parameters from learning results.
- the neural network algorithm used in the learning may be configured with a neural network with a plurality of layers.
- the blast volume predictive model produced by the learner 150 is stored in the blast volume predictive model database 160 and is used for the blast volume predictor 170 to predict the blast volume.
- the blast volume predictor 170 may estimate the blast volume of a charging layer inside the blast furnace 10 from the permeability parameters that are time-series data by using a neural-network-algorithm-based blast volume predictive model.
- the blast volume predictor 170 may input the permeability parameters collected by the data collector 130 as time-series input data of the blast volume predictive model, and may obtain an output value of the blast volume predictive model as a corresponding blast volume predictive value.
- the blast volume controller 180 may determine an amount of the hot blast, that is, the blast volume, supplied into the blast furnace 10 based on the blast volume predictive value output by the blast volume predictor 170, and may control an opened or closed degree of the blast valve 21, thereby controlling the blast volume input into the blast furnace 10.
- functions of the data collector 130, the learner 150, the blast volume predictor 170, and the blast volume controller 180 may be performed by a processor realized with at least one central processing unit (CPU), other chipsets, or a microprocessor.
- CPU central processing unit
- other chipsets or a microprocessor.
- FIG. 3 shows a method for controlling a blast in a blast furnace according to an exemplary embodiment of the present invention.
- the device 100 for controlling a blast photographs the charging conveyor belt 5 by using the imaging device 110 to thus capture an image of the charging material (a raw material or fuel) moved to the blast furnace 10 (S100). Particle size data on the charging material are obtained by image analysis of the obtained charging material image (S110).
- the device 100 for controlling a blast obtains sensing data indicating permeability inside the blast furnace 10 through at least one of sensors 121, 122, and 123 (S120).
- the particle size data and the sensing data obtained through the step S110 and the step S120 are stored in the permeability parameter storage unit 140 as permeability parameters.
- the device 100 for controlling a blast continuously obtains the permeability parameters through the step S110 and the step S120, and uses the same as time-series input data of the neural network algorithm based blast volume predictive model to obtain the predictive value of the blast volume in the blast furnace 10 (S130).
- the device 100 for controlling a blast controls the blast volume supplied into the blast furnace 10 by controlling the opened or closed degree of the blast valve 21 based on the obtained blast volume predictive value (S140).
- the device 100 for controlling a blast supports confirmation of the particle size and the particle size distribution of the charging material charged into the blast furnace 10 in real time.
- the device 100 for controlling a blast supports automatic control of the blast volume according to the condition of the blast furnace by providing a predictive model for predicting the blast volume according to the present condition of the blast furnace through learning. Therefore, the device 100 for controlling a blast may control the blast volume in real-time reaction to the condition of the blast furnace, thereby minimizing changes of the condition of the blast furnace and resultantly stabilizing an operation of the blast furnace and increasing efficiency.
- the method for controlling a blast according to an exemplary embodiment of the present invention may be performed by using software.
- configurational tools for the present invention are code segments for performing necessary tasks.
- the program or the code segments may be stored in a computer-readable recording medium.
- Computer-readable recording media include all types of recording apparatuses in which data readable by a computer system are stored. Examples of the computer-readable recording devices include a ROM, a RAM, a CD-ROM, a DVD_ROM, a DVD_RAM, a magnetic tape, a floppy disk, a hard disk drive, and an optical data storage device. Further, the computer-readable recording media may be distributed to a computer device connected by a network, and computer-readable codes may be stored and performed in a distributed fashion.
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- Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Manufacture Of Iron (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
- Air Transport Of Granular Materials (AREA)
- Blast Furnaces (AREA)
Description
- The present invention relates to a device for controlling a blast in a blast furnace and a method thereof.
- In a blast furnace, pig iron is manufactured by reducing natural iron ore by use of a carbon monoxide produced in reaction of coke that is a fuel and oxygen. From among various operational factors for indicating an inner furnace condition of a blast furnace in a blast furnace process (referred to as a condition of a blast furnace hereinafter), permeability that represents a gas flowing degree in the furnace is one of very important factors for determining efficiency and safety of a blast furnace operation.
- The blast furnace operation is performed when a reduction gas rises in the furnace to contact the charged iron ore, and the iron ore having received heat according to a contact with the reduction gas is fused and reduced into pig iron. During the above-noted process, thermal energy and the reduction gas needed in fusion and reduction of iron ore are supplied by a hot blast supplied through a lower portion of the furnace, and for the purpose of stabilizing the condition of the blast furnace, it is very important to appropriately control an amount of the hot blast input through the lower portion, that is, a blast volume.
- The blast volume supplied into the furnace is controlled according to the permeability in the furnace. Conventionally, as the blast volume supplied into the furnace increases, the volume of pig iron produced in the blast furnace increases, but there may be a stabilization drawback when the blast volume increases while the permeability in the furnace is not good. Therefore, an operator decreases the blast volume so as to stabilize the operation when permeability in the furnace is bad, and increases the blast volume so as to increase operation efficiency when the permeability is good.
- Particle sizes and particle size distribution of raw material (sintered ore, pellets, sized lumps, etc.) fuels (cokes) charged through an upper portion of the blast furnace determine porosity of a charging layer, which is a very important factor for determining permeability at the upper portion in the furnace.
- In prior art documents D1-D4, so as to confirm the particle sizes and the particle size distribution of the charging material charged into the blast furnace, a method for the operator to gather specimens and measure the same three to four times a day is used. However, the confirmation method has a limit in understanding in detail a physical description of the charging material because of a lack of data and a limit of representation of data.
- The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention, and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
-
- D1:
JP H01 205008 A - D2:
JP S54 66304 A - D3
JP S58 55512 A - D4:
JP H02 170906 A - The present invention has been made in an effort to provide a device for controlling a blast for confirming a particle size and a particle size distribution of a charging material charged into a furnace in real time and controlling a hot-blast volume supplied therein, and a method thereof.
- An aspect of the present invention provides a device for controlling a blast in a blast furnace, as disclosed in appended claim 1.
- The data collector may obtain the particle size and the particle size distribution of the charging material according to an image analysis of the image.
- The device may further include at least one sensor for obtaining at least one piece of sensing data for indicating permeability of the blast furnace, wherein the blast volume predictor may obtain the blast volume predictive value by using the particle size data and the at least one piece of sensing data.
- When the particle size data that are time-series data and the at least one piece of sensing data are input, the blast volume predictive model may output the blast volume predictive value corresponding to the particle size data and the at least one piece of sensing data.
- The blast volume controller may control the hot-blast volume by controlling an opened or closed degree of a blast valve between a hot stove and the blast furnace.
- Another aspect of the present invention provides a method for controlling a blast in a blast furnace, as disclosed in appended claim 5.
- The obtaining of particle size data may include obtaining a particle size and a particle size distribution of the charging material according to an image analysis on the image.
- The method may further include obtaining at least one piece of sensing data for indicating permeability of the blast furnace through at least one sensor, wherein the obtaining of a blast volume predictive value may include obtaining the blast volume predictive value by using the particle size data and the at least one piece of sensing data.
- The at least one piece of sensing data may include a pressure in the blast furnace, a temperature in the blast furnace, or a gas component discharged from the blast furnace.
- The obtaining of a blast volume predictive value may include obtaining the blast volume predictive value by using the particle size data and the at least one piece of sensing data as input data of a blast volume predictive model for estimating a blast volume of the blast furnace.
- The controlling of a hot-blast volume may include controlling the hot-blast volume by controlling an opened or closed degree of a blast valve between a hot stove and the blast furnace.
- According to the present invention, the change of the condition of the blast furnace may be minimized, the blast furnace operation may be stabilized, and efficiency may be increased by confirming the particle size and the particle size distribution of the charging material charged into the furnace and accordingly controlling the blast volume.
-
-
FIG. 1 shows an example of blast furnace equipment. -
FIG. 2 shows a device for controlling a blast in a blast furnace according to an exemplary embodiment of the present invention. -
FIG. 3 shows a method for controlling a blast in a blast furnace according to an exemplary embodiment of the present invention. - The present invention will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention are shown. As those skilled in the art would realize, the described embodiments may be modified in various different ways, the scope of the present invention is defined in the appended claims.
- The drawings and description are to be regarded as illustrative in nature and not restrictive, and like reference numerals designate like elements throughout the specification.
- Throughout this specification and the claims that follow, when it is described that an element is "coupled" to another element, the element may be "directly coupled" to the other element or "electrically coupled" to the other element through a third element.
- A device for controlling a blast in a blast furnace and a method thereof will now be described with reference to accompanying drawings.
-
FIG. 1 shows an example of blast furnace equipment. - The blast furnace equipment is for generating pig iron in a steel process.
- Referring to
FIG. 1 , theblast furnace 10 is a furnace into which an iron ore that is a raw material is charged and is fused and reduced to pig iron. - A
burden hopper 11 for storing a raw material or fuel charged through a charging conveyor belt 5 is positioned at an upper portion of theblast furnace 10. The raw material or the fuel stored in theburden hopper 11 is charged into theblast furnace 10 according to a burden charging process. - A
blast port 12 for inputting a hot blast supplied by ahot stove 20 into theblast furnace 10 is positioned on a lower portion of theblast furnace 10. An inflow amount of the hot blast supplied by thehot stove 20 into the blast furnace 10 (referred to as a blast volume hereinafter) is controlled according to an opened or closed degree of theblast valve 21. - The fuel (e.g., cokes) input into the
blast furnace 10 is combusted in reaction with oxygen to generate high-temperature gas (referred to as reduction gas hereinafter). The reduction gas rises in the furnace to contact the iron ore charged into theblast furnace 10. The iron ore having received heat according to the contact with the high-temperature reduction gas in the furnace is fused and reduced into pig iron. - The pig iron fused and reduced in the
blast furnace 10 is stored at a lower portion of the furnace, and it is then discharged to the outside of the furnace through a tap hole at regular intervals. -
FIG. 2 shows a device for controlling blast in a blast furnace according to an exemplary embodiment of the present invention. - Referring to
FIG. 2 , thedevice 100 for controlling a blast according to an exemplary embodiment of the present invention may include animaging device 110, asensor unit 120, adata collector 130, a permeabilityparameter storage unit 140, alearner 150, a blast volumepredictive model database 160, ablast volume predictor 170, ablast volume controller 180, and adisplay 190. - The
imaging device 110 is installed on a charging conveyor belt 5, and photographs the raw material (sintered ore, pellets, sized lumps, etc.) or the fuel (coke, etc.) charged into theblast furnace 10 by use of the charging conveyor belt 5. The image photographed by theimaging device 110 is used to obtain particle size data (particle sizes and particle size distribution) of the charging material (fuel or raw material). Therefore, a high-quality camera may be used as theimaging device 110 so as to enable obtainment of the particle size and the particle size distribution of the charging material from the image on the charging material. - The
sensor unit 120 includes at least one sensor for measuring factors (e.g., a pressure, a temperature, an exhaust gas component, etc.) for determining permeability inside theblast furnace 10. - The
sensor unit 120 may include atemperature sensor 121 for measuring a temperature inside theblast furnace 10. Thetemperature sensor 121 may be attached to the inside of theblast furnace 10, and it may also be positioned outside theblast furnace 10 to measure the temperature when the pig iron discharged from theblast furnace 10 is tapped. In the latter case, the temperature inside theblast furnace 10 may be estimated from the temperature of the pig iron. - The
sensor unit 120 may include apressure sensor 122 for measuring the pressure inside theblast furnace 10. - The
sensor unit 120 may also include agas sensor 123 for detecting a component of an exhaust gas (blast furnace gas) discharged by theblast furnace 10. - The
data collector 130 may obtain particle size data (particle sizes and particle size distribution) on the charging material charged to theblast furnace 10 through the charging conveyor belt 5 according to real-time image analysis of the image of the charging material obtained by theimaging device 110. Further, thedata collector 130 may obtain sensing data (a temperature, a pressure, an exhaust gas component, etc.) measured by thesensor unit 120 as a permeability parameter. The permeability parameters (particle size data and sensing data) obtained in this way may be stored in the permeabilityparameter storage unit 140 as time-series data. They may also be displayed on a blast furnace operating screen through thedisplay 190 so that an operator may confirm a situation in theblast furnace 10 in real time. - The
learner 150 may learn the permeability parameter (particle size data, sensing data) collected by thedata collector 130 as learning data for a predetermined time, and may generate a neural-network-algorithm-based blast volume predictive model. Thelearner 150 may make a neural network learn by using collected permeability parameters and blast volume control values proposed by an expert as neural network algorithm learning data, and may produce a blast volume predictive model for predicting the blast volume based on present permeability parameters from learning results. Here, the neural network algorithm used in the learning may be configured with a neural network with a plurality of layers. The blast volume predictive model produced by thelearner 150 is stored in the blast volumepredictive model database 160 and is used for theblast volume predictor 170 to predict the blast volume. - The
blast volume predictor 170 may estimate the blast volume of a charging layer inside theblast furnace 10 from the permeability parameters that are time-series data by using a neural-network-algorithm-based blast volume predictive model. Theblast volume predictor 170 may input the permeability parameters collected by thedata collector 130 as time-series input data of the blast volume predictive model, and may obtain an output value of the blast volume predictive model as a corresponding blast volume predictive value. - The
blast volume controller 180 may determine an amount of the hot blast, that is, the blast volume, supplied into theblast furnace 10 based on the blast volume predictive value output by theblast volume predictor 170, and may control an opened or closed degree of theblast valve 21, thereby controlling the blast volume input into theblast furnace 10. - Regarding the above-configured
blast control device 100, functions of thedata collector 130, thelearner 150, theblast volume predictor 170, and theblast volume controller 180 may be performed by a processor realized with at least one central processing unit (CPU), other chipsets, or a microprocessor. -
FIG. 3 shows a method for controlling a blast in a blast furnace according to an exemplary embodiment of the present invention. - Referring to
FIG. 3 , thedevice 100 for controlling a blast according to an exemplary embodiment of the present invention photographs the charging conveyor belt 5 by using theimaging device 110 to thus capture an image of the charging material (a raw material or fuel) moved to the blast furnace 10 (S100). Particle size data on the charging material are obtained by image analysis of the obtained charging material image (S110). - The
device 100 for controlling a blast obtains sensing data indicating permeability inside theblast furnace 10 through at least one ofsensors - The particle size data and the sensing data obtained through the step S110 and the step S120 are stored in the permeability
parameter storage unit 140 as permeability parameters. - The
device 100 for controlling a blast continuously obtains the permeability parameters through the step S110 and the step S120, and uses the same as time-series input data of the neural network algorithm based blast volume predictive model to obtain the predictive value of the blast volume in the blast furnace 10 (S130). Thedevice 100 for controlling a blast controls the blast volume supplied into theblast furnace 10 by controlling the opened or closed degree of theblast valve 21 based on the obtained blast volume predictive value (S140). - According to the above-described example, the
device 100 for controlling a blast supports confirmation of the particle size and the particle size distribution of the charging material charged into theblast furnace 10 in real time. Thedevice 100 for controlling a blast supports automatic control of the blast volume according to the condition of the blast furnace by providing a predictive model for predicting the blast volume according to the present condition of the blast furnace through learning. Therefore, thedevice 100 for controlling a blast may control the blast volume in real-time reaction to the condition of the blast furnace, thereby minimizing changes of the condition of the blast furnace and resultantly stabilizing an operation of the blast furnace and increasing efficiency. - The method for controlling a blast according to an exemplary embodiment of the present invention may be performed by using software. When performed through software, configurational tools for the present invention are code segments for performing necessary tasks. The program or the code segments may be stored in a computer-readable recording medium.
- Computer-readable recording media include all types of recording apparatuses in which data readable by a computer system are stored. Examples of the computer-readable recording devices include a ROM, a RAM, a CD-ROM, a DVD_ROM, a DVD_RAM, a magnetic tape, a floppy disk, a hard disk drive, and an optical data storage device. Further, the computer-readable recording media may be distributed to a computer device connected by a network, and computer-readable codes may be stored and performed in a distributed fashion.
- The accompanying drawings and the exemplary embodiments of the present invention are only examples of the present invention, and are used to describe the present invention but do not limit the scope of the present invention as defined by the following claims. Therefore, those having ordinary skill in the art will appreciate that various modifications or changes and other equivalent embodiments are possible from the exemplary embodiments. Further, a person of ordinary skill in the art can omit some of the presently disclosed constituent elements described in the specification without deterioration of performance, or can add presently disclosed constituent elements for better performance. In addition, a person of ordinary skill in the art can change the specifications depending on the process conditions or equipment. Hence, the range of the present invention is to be determined by the claims.
-
- 5: charging conveyor belt
- 10: blast furnace
- 20: hot stove
- 21: blast valve
- 100: blast control device
- 110: imaging device
- 120: sensor unit
- 121: temperature sensor
- 122: pressure sensor
- 123: gas sensor
- 130: data collector
- 140: permeability parameter storage unit
- 150: learner
- 160: blast volume predictive model database
- 170: blast volume predictor
- 180: blast volume controller
- 190: display
Claims (8)
- A device (100) for controlling a blast in a blast furnace (10), comprising:an imaging device (110) for capturing an image of a charging material charged into the blast furnace (10); andat least one sensor for obtaining at least one piece of sensing data for indicating permeability of the blast furnace (10), wherein the at least one sensor includes:a pressure sensor (122) for measuring a pressure in the blast furnace (10);a temperature sensor (121) for measuring a temperature in the blast furnace (10); ora gas sensor (123) for measuring a gas component discharged from the blast furnace (10);a blast volume predictive model database (160) for storing a blast volume predictive model based on a neural network algorithm for estimating a blast volume of the blast furnace (10),a blast control device comprising a processor,wherein the blast control device includes:a data collector (130) configured to collect particle size data of the charging material from the image;a blast volume predictor (170) configured to obtain a blast volume predictive value of the blast furnace (10) by using the particle size data and the at least one piece of sensing data as input data of the blast volume predictive model; anda blast volume controller (180) configured to control a hot-blast volume supplied into the blast furnace (10) according to the blast volume predictive value,wherein the imaging device (110) is positioned on a charging conveyor belt (5) that transports the charging material into the blast furnace (10), and obtains the image of the charging material charged into the blast furnace (10) by photographing the conveyor belt (5).
- The device (100) according to claim 1, wherein
the data collector (130) is configured to collect the particle size and the particle size distribution of the charging material according to an image analysis of the image. - The device (100) according to claim 1 or 2, wherein
when the particle size data that are time-series data and the at least one piece of sensing data are input, the blast volume predictive model outputs the blast volume predictive value corresponding to the particle size data and the at least one piece of sensing data. - The device (100) according to any one of claims 1 to 3, wherein
the blast volume controller (180) is configured to control the hot-blast volume by controlling an opened or closed degree of a blast valve between a hot stove (20) and the blast furnace (10). - A method for controlling a blast in a blast furnace (10), comprising:capturing an image of a charging material charged into the blast furnace (10) through a camera positioned on a charging conveyor belt (5) that transports the charging material into the blast furnace (10);obtaining particle size data of the charging material from the image;obtaining at least one piece of sensing data for indicating permeability of the blast furnace (10) through at least one sensor, wherein the at least one piece of sensing data includes a pressure in the blast furnace (10), a temperature in the blast furnace (10), or a gas component discharged from the blast furnace (10);obtaining a blast volume predictive value of the blast furnace by using the particle size data and the at least one piece of sensing data as input data of a blast volume predictive model based on a neural network algorithm for estimating a blast volume of the blast furnace (10); andcontrolling a hot-blast volume supplied into the blast furnace (10) according to the blast volume predictive value,wherein the capturing includes photographing the conveyor belt (5).
- The method according to claim 5, wherein
the obtaining of particle size data includes obtaining a particle size and a particle size distribution of the charging material according to an image analysis on the image. - The method according to claim 5 or 6, wherein
when the particle size data that are time-series data and the at least one piece of sensing data are input, the blast volume predictive model outputs the blast volume predictive value corresponding to the particle size data and the at least one piece of sensing data. - The method according to any one of claims 5 to 7, wherein
the controlling of a hot-blast volume includes controlling the hot-blast volume by controlling an opened or closed degree of a blast valve between a hot stove (20) and the blast furnace (10).
Applications Claiming Priority (2)
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KR1020170151770A KR102002428B1 (en) | 2017-11-14 | 2017-11-14 | Apparatus and method for controlling blow of blast furnace |
PCT/KR2018/007588 WO2019098484A1 (en) | 2017-11-14 | 2018-07-04 | Blast control device for blast furnace and method therefor |
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EP3712281A4 EP3712281A4 (en) | 2020-09-23 |
EP3712281A1 EP3712281A1 (en) | 2020-09-23 |
EP3712281B1 true EP3712281B1 (en) | 2023-02-15 |
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EP (1) | EP3712281B1 (en) |
JP (1) | JP7012159B2 (en) |
KR (1) | KR102002428B1 (en) |
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JP7380604B2 (en) | 2021-01-12 | 2023-11-15 | Jfeスチール株式会社 | Learning model generation method, learning model generation device, blast furnace control guidance method, and hot metal manufacturing method |
CN113793308A (en) * | 2021-08-25 | 2021-12-14 | 北京科技大学 | Intelligent pellet quality rating method and device based on neural network |
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JPH02170906A (en) * | 1988-12-22 | 1990-07-02 | Kawasaki Steel Corp | Method for controlling blasting flow rate in blast furnace |
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JPS6039724B2 (en) * | 1977-11-08 | 1985-09-07 | 日本鋼管株式会社 | Blast furnace condition determination method and device |
JPS5855512A (en) * | 1981-09-29 | 1983-04-01 | Kawasaki Steel Corp | Method for judging condition of blast furnace |
JPS61147804A (en) * | 1984-12-18 | 1986-07-05 | Sumitomo Metal Ind Ltd | Blast furnace operating method |
JPS6283410A (en) * | 1985-10-08 | 1987-04-16 | Sumitomo Metal Ind Ltd | Operating method for blast furnace |
JPH0730368B2 (en) * | 1988-02-12 | 1995-04-05 | 日本鋼管株式会社 | Blast furnace furnace thermal controller |
JPH03236409A (en) * | 1990-02-13 | 1991-10-22 | Nkk Corp | Method for controlling grain size of raw material to be charged in blast furnace |
JPH0598322A (en) * | 1991-10-02 | 1993-04-20 | Nkk Corp | Method for controlling grain size of charging material into blast furnace |
JP4901462B2 (en) * | 2006-12-27 | 2012-03-21 | 新日本製鐵株式会社 | Gas flow state monitoring method, monitoring apparatus, and computer program for furnace top |
KR101605206B1 (en) * | 2009-12-21 | 2016-03-21 | 주식회사 포스코 | Appartus for controlling hot-air temperature in hot stove system |
KR101277973B1 (en) * | 2011-07-28 | 2013-06-27 | 현대제철 주식회사 | Method for controlling blow energy of blast furnace |
GB2509227B (en) * | 2012-12-21 | 2015-03-18 | Siemens Plc | A method for supplying blast to a blast furnace |
KR101466499B1 (en) * | 2013-07-26 | 2014-11-28 | 현대제철 주식회사 | Visualization method of cohesive zone shape in a blast furnace |
JP6044536B2 (en) * | 2013-12-27 | 2016-12-14 | Jfeスチール株式会社 | Blast furnace charge detector |
CN105177199B (en) * | 2015-08-31 | 2017-04-19 | 南京南瑞继保电气有限公司 | Blast furnace gas generation amount soft measurement method |
CN106521066A (en) * | 2016-12-23 | 2017-03-22 | 天津市三特电子有限公司 | Blast furnace burden particle size monitoring system and distributed data on-line analysis method |
-
2017
- 2017-11-14 KR KR1020170151770A patent/KR102002428B1/en active IP Right Grant
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2018
- 2018-07-04 JP JP2020526586A patent/JP7012159B2/en active Active
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JPH02170906A (en) * | 1988-12-22 | 1990-07-02 | Kawasaki Steel Corp | Method for controlling blasting flow rate in blast furnace |
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KR20190054794A (en) | 2019-05-22 |
EP3712281A4 (en) | 2020-09-23 |
EP3712281A1 (en) | 2020-09-23 |
JP7012159B2 (en) | 2022-01-27 |
WO2019098484A1 (en) | 2019-05-23 |
KR102002428B1 (en) | 2019-07-22 |
CN111344420A (en) | 2020-06-26 |
JP2021503042A (en) | 2021-02-04 |
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