Method for estimating wear of charging device, blast furnace operation control device, and blast furnace operation control program

Abstract

To improve the estimation accuracy of the degree of wear of a charging device based on the falling flow width of a blast furnace raw material falling from the charging device.SOLUTION: In a wear estimation method of a charging device, a falling flow width of a blast furnace raw material charged into a blast furnace 10 from a turning chute 40 is measured a plurality of times, and the degree of wear of the turning chute 40 is estimated based on the falling flow width in which the charging condition is a predetermined condition and the grain size of the blast furnace raw material is within a predetermined range.SELECTED DRAWING: Figure 6

Description

Technical Field

[0001] The technology disclosed in this application relates to a method for estimating wear of a charging device, a blast furnace operation control device, and a blast furnace operation control program.

Background Art

[0002] There is a wear inspection device that measures the distance to the inner surface of a swivel chute for charging blast furnace raw materials into a blast furnace and inspects wear on the surface (see, for example, Patent Document 1).

[0003] Also, there is a raw material drop position measuring device that places a sonde below a swivel chute for charging blast furnace raw materials into a blast furnace and measures the drop position of the blast furnace raw materials using an optical fiber sensor provided on the sonde (see, for example, Patent Document 2).

[0004] Also, there is a drop position measuring device that drops blast furnace raw materials to an acceleration sensor of acceleration detecting means and measures the drop position of the blast furnace raw materials (see, for example, Patent Document 3).

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0006] By the way, when charging devices such as a bell or a rotary chute for charging blast furnace raw materials into a blast furnace wear out, the width of the falling flow of the blast furnace raw materials falling from the charging device (hereinafter referred to as "falling flow width") becomes wider, and the deposition distribution of the blast furnace raw materials deposited in the blast furnace fluctuates. And when the deposition distribution of the blast furnace raw materials deposited in the blast furnace fluctuates, the air permeability in the blast furnace and the like decrease, and there is a possibility that the blast furnace operation becomes unstable.

[0007] As a countermeasure against this, for example, it is conceivable to measure the falling flow width of the blast furnace raw materials falling from the charging device by the falling position measuring device disclosed in Patent Document 3, and estimate the degree of wear of the charging device from the measured falling flow width.

[0008] However, since the falling flow width of the blast furnace raw materials falling from the charging device varies not only due to the wear of the charging device but also due to other factors, it is difficult to accurately estimate the degree of wear of the charging device.

[0009] The technology disclosed in the present application aims to improve the estimation accuracy of the degree of wear of the charging device based on the falling flow width of the blast furnace raw materials falling from the charging device.

Means for Solving the Problems

[0010] The method for estimating wear of a charging device according to the first aspect is 、Install Measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times, and estimate the degree of wear of the charging device based on the falling flow width under the condition that the charging condition is a predetermined condition and the particle size of the blast furnace raw materials is within a predetermined range.

[0011] According to the above aspect 、Install Measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times. Then, based on the falling flow width under the condition that the charging condition is a predetermined condition and the particle size of the blast furnace raw materials is within a predetermined range, estimate the degree of wear of the charging device.

[0012] Here, the falling flow width of the blast furnace raw materials falling from the charging device varies not only due to the wear of the charging device, but also due to the charging conditions of the charging device and the particle size of the blast furnace raw materials. Therefore, in this aspect, as described above, based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, the degree of wear of the charging device is estimated.

[0013] By aligning the charging conditions of the charging device and the conditions of the particle size of the blast furnace raw materials in this way, it becomes possible to grasp the variation in the falling flow width caused by the wear of the charging device. Therefore, the estimation accuracy of the degree of wear of the charging device based on the falling flow width of the blast furnace raw materials falling from the charging device can be improved.

[0014] The method for estimating the wear of the charging device according to the second aspect is the method for estimating the wear of the charging device according to the first aspect, in which the falling flow width of the blast furnace raw materials charged into the blast furnace from the charging device under different said charging conditions is measured multiple times, and among the plurality of measured falling flow widths, based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, the degree of wear of the charging device is estimated.

[0015] According to the above aspect, the falling flow width of the blast furnace raw materials charged into the blast furnace from the charging device under different charging conditions is measured multiple times. Then, based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range among the plurality of measured falling flow widths, the degree of wear of the charging device is estimated. That is, from the plurality of measured falling flow widths, the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range is extracted.

[0016] Thereby, for example, for each different charging condition, the variation in the falling flow width caused by the wear of the charging device can be grasped. Therefore, the estimation accuracy of the degree of wear of the charging device based on the falling flow width of the blast furnace raw materials falling from the charging device can be further improved.

[0017] The wear estimation method of the charging device according to the third aspect is the wear estimation method of the charging device according to the first aspect, wherein when the charging condition is a predetermined condition and the particle size of the blast furnace raw material is within a predetermined range, the falling flow width of the blast furnace raw material charged from the charging device into the blast furnace is measured.

[0018] According to the above aspect, when the charging condition is a predetermined condition and the particle size of the blast furnace raw material is within a predetermined range, the falling flow width of the blast furnace raw material charged from the charging device into the blast furnace is measured.

[0019] Thereby, from the plurality of measured falling flow widths, without extracting the falling flow width when the charging condition is a predetermined condition and the particle size of the blast furnace raw material is within a predetermined range, the variation in the measured value of the falling flow width due to the wear of the charging device can be grasped. Therefore, the estimation efficiency of the degree of wear of the charging device can be improved.

[0020] The wear estimation method of the charging device according to the fourth aspect is the wear estimation method of the charging device according to any one of the first to third aspects, wherein the particle size of the blast furnace raw material conveyed to the charging device is measured, and based on the falling flow width when the charging condition is a predetermined condition and the measured particle size of the blast furnace raw material is within a predetermined range, the degree of wear of the charging device is estimated.

[0021] According to the above aspect, the particle size of the blast furnace raw material conveyed to the charging device is measured. Then, based on the falling flow width when the charging condition of the charging device is a predetermined condition and the measured particle size of the blast furnace raw material is within a predetermined range, the degree of wear of the charging device is estimated.

[0022] By measuring the particle size of the blast furnace raw material conveyed to the charging device in this way, the particle size of the blast furnace raw material can be grasped more accurately. Therefore, the estimation efficiency of the degree of wear of the charging device can be improved.

[0023] The wear estimation method of the charging device according to the fifth aspect is the wear estimation method of the charging device according to the fourth aspect, wherein the particle size of the blast furnace raw material conveyed to the charging device is measured continuously or periodically.

[0024] According to the above aspect, the particle size of the blast furnace raw materials conveyed to the charging device is measured continuously or periodically. As a result, the particle size of the blast furnace raw materials can be grasped more accurately. Therefore, the estimation efficiency of the wear degree of the charging device can be improved.

[0025] In the blast furnace operation method according to the sixth aspect, when the wear degree of the charging device estimated by the wear estimation method of the charging device according to any one of the first aspect to the fifth aspect is equal to or greater than a threshold value, the charging conditions are changed.

[0026] According to the above aspect, when the wear degree of the charging device estimated by the wear estimation method of the charging device according to any one of the first aspect to the fifth aspect is equal to or greater than a threshold value, the charging conditions are changed. Thereby, fluctuations in the deposition distribution of the blast furnace raw materials deposited in the blast furnace can be suppressed. Therefore, since a decrease in the air permeability in the blast furnace and the like are suppressed, the stabilization of the blast furnace operation can be achieved.

[0027] The blast furnace operation control device according to the seventh aspect 、Install includes a control unit that executes a process of measuring the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times, and estimating the wear degree of the charging device based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range.

[0028] The blast furnace operation control program according to the eighth aspect 、Install causes a computer to execute a process of measuring the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times, and estimating the wear degree of the charging device based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range.

Advantages of the Invention

[0029] According to the technology disclosed in the present application, the estimation accuracy of the wear degree of the charging device based on the falling flow width of the blast furnace raw materials falling from the charging device can be improved.

Brief Description of the Drawings

[0030]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Mode for Carrying Out the Invention

[0031] Hereinafter, an embodiment of the technology disclosed in the present application will be described.

[0032] (Blast Furnace) FIG. 1 shows a bell-less type blast furnace 10 according to the present embodiment. In the blast furnace 10, iron ore and coke as blast furnace raw materials are charged from the furnace top 12 by a furnace top charging machine 30 described later. As a result, an iron ore layer 20A and a coke layer 20B as deposits 20 are alternately deposited in layers in the blast furnace 10.

[0033] Hot air, auxiliary fuel, etc. are blown into the blast furnace 10 from tuyeres (not shown) provided at the lower part of the blast furnace 10. Thereby, the auxiliary fuel and coke burn, generating high-temperature gas (reducing gas) that rises. The iron ore in the iron ore layer 20A deposited in the blast furnace 10 is heated and reduced by this reducing gas while descending. Then, the melted iron ore while descending is discharged as pig iron from the tapping hole provided on the side wall at the furnace bottom.

[0034] Note that the arrow R shown in FIG. 1 indicates the radial direction of the blast furnace 10. Also, in the following description, the "radial direction of the blast furnace 10" is also referred to as the "blast furnace radial direction".

[0035] (Top charging machine) As described above, the top charging machine 30 charges iron ore, coke, etc. as blast furnace raw materials into the blast furnace 10 from the furnace top 12, and deposits the iron ore layer 20A and the coke layer 20B as deposits 20 in the blast furnace 10 alternately in layers. A conveying device 32 is connected to this top charging machine 30. The top charging machine 30 also includes a switching chute 34, a pair of top hoppers 36, a collecting hopper 38, and a swivel chute 40. Note that the swivel chute 40 is an example of a charging device.

[0036] The conveying device 32 is, for example, a belt conveyor, and conveys iron ore, coke, etc. as blast furnace raw materials from a raw material tank (not shown) to the switching chute 34. The switching chute 34 is capable of switching the supply destination of the blast furnace raw materials between the pair of top hoppers 36. By this switching chute 34, a predetermined amount of iron ore is supplied to one of the top hoppers 36, and a predetermined amount of coke is supplied to the other top hopper 36.

[0037] The iron ore or coke stored in the pair of top hoppers 36 is supplied to the swivel chute 40 via the collecting hopper 38. The swivel chute 40 charges the iron ore or coke into the blast furnace 10 in layers while rotating around the central axis Z of the blast furnace 10.

[0038] In addition, the swivel chute 40 is capable of changing the inclination angle (tilt angle) θ with respect to the central axis Z of the blast furnace 10. The inclination angle θ of the swivel chute 40 is managed, for example, by a notch table (see Table 1) described later.

[0039] Note that a predetermined amount of iron ore, coke, etc. is charged into the blast furnace 10 from the furnace top 12 by the swivel chute 40, and forming an iron ore layer 20A and a coke layer 20B as a set (a total of two layers) throughout the blast furnace 10 is referred to as one charge. Further, the iron ore layer 20A and the coke layer 20B can each be charged into the blast furnace 10 in multiple portions, and one charging operation of the iron ore layer 20A or the coke layer 20B is referred to as one dump. Also, the swivel chute 40 rotates multiple times during one dump.

[0040] (Particle Size Measuring Device) As shown in FIG. 2, in the present embodiment, the particle size measuring device 50 continuously or periodically measures the particle sizes of the iron ore and coke as the blast furnace raw materials charged into the blast furnace 10. The particle sizes of the blast furnace raw materials measured by the particle size measuring device 50 are, for example, time-series data.

[0041] Note that the method of measuring the particle sizes of the iron ore and coke by the particle size measuring device 50 is the same. Therefore, hereinafter, the case of measuring the particle size of iron ore (sintered ore) as an example of the blast furnace raw materials will be described.

[0042] The iron ore is conveyed from a raw material tank (not shown) to the top charger 30 provided at the furnace top 12 of the blast furnace 10 by a conveying device 32 such as a belt conveyor. The particle size of the iron ore is measured by the particle size measuring device 50 provided on the conveying path of the conveying device 32 or the like.

[0043] The particle size measuring device 50 includes an imaging device 52 and an image processing device 54. The imaging device 52 is, for example, a digital camera that images the iron ore, and is installed above the conveying path of the conveying device 32 or the like. The imaging device 52 images the iron ore conveyed by the conveying device 32 or the like from above, and outputs the captured image data to the image processing device 54.

[0044] The image processing device 54 is configured by, for example, a computer or the like. This image processing device 54 performs image processing (image analysis) on the image data output from the imaging device 52, and obtains particle size information (including particle size, particle size distribution, and average particle diameter) of iron ore within a predetermined range (predetermined mass). Then, the image processing device 54 outputs the obtained particle size information of the iron ore to a blast furnace operation control device 80 described later.

[0045] When the particle size of the iron ore is continuously measured by the particle size measuring device 50, the particle size of the iron ore conveyed by the conveying device 32 or the like is measured constantly (in real time). Also, when the particle size of the iron ore is periodically measured by the particle size measuring device 50, for example, the particle size of the iron ore conveyed by the conveying device 32 or the like is measured at predetermined intervals.

[0046] (Falling flow width measuring device) As shown in FIG. 3, the falling flow width measuring device 60 is a device that measures the width of the falling flow S of the blast furnace raw material falling from the rotating swivel chute 40 (see FIG. 1) (hereinafter referred to as the "falling flow width W"). This falling flow width measuring device 60 includes a measuring rod 62, a plurality of acceleration sensors 64, and an arithmetic unit 66.

[0047] Note that the falling flow width W means the width of the falling flow S of the blast furnace raw material falling from the swivel chute 40 in a longitudinal section along the blast furnace diameter direction of the blast furnace 10. This falling flow width W may be, for example, the width of the falling flow S along the measuring rod 62 described later, or the length obtained by projecting the width of the falling flow S along the measuring rod 62 onto a horizontal plane.

[0048] The measuring rod 62 is formed, for example, in a hollow rod shape. This measuring rod 62 is inserted into the blast furnace 10 through an insertion hole formed in the furnace wall 14 of the blast furnace 10 above the surface of the deposit 20 deposited in the blast furnace 10.

[0049] The measuring rod 62 is arranged along the radial direction of the blast furnace 10 in a plan view of the blast furnace 10. Further, the measuring rod 62 is inclined at a predetermined inclination angle with respect to the horizontal direction. Note that the inclination angle of the measuring rod 62 can be changed as appropriate. Further, the measuring rod 62 may be arranged horizontally.

[0050] The measuring rod 62 has a measuring part 62A arranged inside the blast furnace 10. The measuring part 62A is arranged on the surface of the deposit 20 and is arranged inside the falling flow S of the blast furnace raw material dropped from the rotating chute 40 that rotates. A plurality of acceleration sensors 64 are accommodated inside the measuring part 62A.

[0051] The plurality of acceleration sensors 64 are sensors for detecting collisions with the falling flow S of the blast furnace raw material and are arranged in the longitudinal direction of the measuring rod 62. As the acceleration sensor 64, for example, a piezoelectric sensor, a moving electric type acceleration sensor, a servo type acceleration sensor, a resistance wire strain gauge type acceleration sensor, or a semiconductor strain gauge type acceleration sensor is used. Further, on the upper surface of the measuring part 62A, a fixing jig for fixing the acceleration sensor 64 to the measuring rod 62 is exposed, and when the falling flow S collides with the fixing jig, the acceleration sensor 64 detects an acceleration or the like.

[0052] An arithmetic unit 66 is connected to each acceleration sensor 64 via wire or wirelessly. The acceleration sensor 64 outputs the collision information detected along with the collision with the falling flow S of the blast furnace raw material to the arithmetic unit 66.

[0053] The arithmetic unit 66 is constituted by, for example, a computer or the like. The arithmetic unit 66 calculates the falling flow width W of the blast furnace raw material based on the collision information detected by the plurality of acceleration sensors 64. Then, the arithmetic unit 66 outputs the calculated falling flow width W of the blast furnace raw material to a blast furnace operation control device 80 described later.

[0054] Here, FIG. 4 shows an example of the acceleration waveform of the collision information detected by a plurality of acceleration sensors 64 when the falling flow S of blast furnace raw materials is dropped from the swivel chute 40 onto the measuring section 62A of the measuring rod 62.

[0055] Note that the vertical axis of the graph shown in FIG. 4 is the number corresponding to the 24 acceleration sensors 64 arranged on the measuring section 62A of the measuring rod 62. The numbers of the acceleration sensors 64 are assigned in ascending order from the furnace wall 14 side of the blast furnace 10 (the furnace wall 14 side is No. 1). Also, the plurality of acceleration sensors 64 are arranged at a pitch of 50 mm. Further, the horizontal axis of the graph shown in FIG. 4 is the charging time of the blast furnace raw materials.

[0056] As shown in FIG. 4, the arithmetic unit 66 estimates the collision range of the falling flow S of blast furnace raw materials with respect to the measuring section 62A of the measuring rod 62, that is, the falling flow width W of the blast furnace raw materials, based on the number of acceleration sensors 64 in which acceleration is detected.

[0057] Here, in FIG. 4, acceleration is detected by 16 acceleration sensors 64 from No. 4 to No. 19. Also, the interval between adjacent acceleration sensors 64 is 50 mm as described above. Therefore, the falling flow width W of the blast furnace raw materials is 800 mm (= 16 × 50 mm).

[0058] Note that the acceleration sensor 64 detects not only the acceleration associated with the collision with the falling flow S but also noise such as the vibration of the measuring rod 62, for example. Therefore, in FIG. 4, as an example, accelerations within ± 10% of the maximum output of the acceleration sensor 64 among the accelerations detected by the acceleration sensor 64 are excluded as noise.

[0059] Also, for example, particles of blast furnace raw materials scattered from the falling flow S may collide with an acceleration sensor 64 separated from the falling flow S. Therefore, in FIG. 4, as an example, accelerations with a short continuous detection time (for example, 10 ms or less) among the accelerations detected by the acceleration sensor 64 are excluded as noise.

[0060] Thus, the arithmetic unit 66 is configured to be able to exclude the noise of the acceleration detected by the acceleration sensor 64. Note that the method of excluding noise can be changed as appropriate.

[0061] (Overview of Blast Furnace Operation Control Device) The blast furnace operation control device 80 (see FIG. 2) controls the overall operation of the blast furnace 10. Further, as shown in FIG. 3, when charging blast furnace raw materials (iron ore, coke, etc.) into the blast furnace 10 from the top 12 of the furnace by the revolving chute 40, the blast furnace operation control device 80 measures the falling flow width W of the blast furnace raw materials falling onto the surface of the deposit 20 in the blast furnace 10 from the revolving chute 40. Further, the blast furnace operation control device 80 estimates the degree of wear of the revolving chute 40 from the measured falling flow width W.

[0062] Then, when the estimated degree of wear of the revolving chute 40 is equal to or greater than a threshold value (first threshold value, second threshold value), the blast furnace operation control device 80 corrects the charging condition of the revolving chute 40. Thereby, fluctuations in the deposition distribution of the blast furnace raw materials (deposit 20) deposited in the blast furnace 10 are suppressed.

[0063] (Hardware Configuration of Blast Furnace Operation Control Device) Next, the hardware configuration of the blast furnace operation control device 80 will be described. Note that since the hardware configurations of the image processing device 54 of the particle size measuring device 50 and the arithmetic unit 66 of the falling flow width measuring device 60 described above are the same as the hardware configuration of the blast furnace operation control device 80, the description thereof will be omitted.

[0064] The blast furnace operation control device 80 is realized by, for example, a computer 70 shown in FIG. 5. The computer 70 includes a CPU (Central Processing Unit) 72, a memory 74 as a temporary storage area, and a non-volatile storage unit 76. Further, the computer 70 includes an input / output device 78. These CPU 72, memory 74, storage unit 76, and input / output device 78 are connected to each other via a bus 79. Note that the CPU 72 is an example of a control unit and a processor.

[0065] The storage unit 76 is implemented by, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. In the storage unit 76 as a recording medium, a blast furnace operation control program for causing the computer 70 to function as the blast furnace operation control device 80 is stored in advance. Further, the storage unit 76 is provided with a storage area for storing various data.

[0066] The input / output device 78 includes a pointing device such as a mouse, a keyboard, and a display unit, and is used for inputting various information.

[0067] The CPU 72 reads the blast furnace operation control program from the storage unit 76 and expands it in the memory 74, and sequentially executes each process included in the blast furnace operation control program. Thereby, the computer 70 that has executed the blast furnace operation control program functions as the blast furnace operation control device 80.

[0068] (Function of the blast furnace operation control device) Next, the functions of the blast furnace operation control device 80 will be described.

[0069] As shown in FIG. 2, when executing the above-described blast furnace operation control program, the blast furnace operation control device 80 realizes various functions by using the above hardware resources. Specifically, the blast furnace operation control device 80 functionally includes a charging condition acquisition unit 82, a weighing and conveying control unit 84, a particle size measurement control unit 86, a charging control unit 88, a falling flow width measurement control unit 90, a wear estimation unit 92, a wear determination unit 94, a charging condition correction unit 96, and a notification control unit 98.

[0070] (Charging condition acquisition unit) The charging condition acquisition unit 82 acquires the charging conditions of the swing chute 40 for charging the blast furnace raw materials into the blast furnace 10. Specifically, the charging condition acquisition unit 82 acquires the charging conditions from, for example, a charging schedule table of the blast furnace raw materials. The charging schedule table is a table in which the charging conditions of the blast furnace raw materials charged into the blast furnace 10 are determined for each dump, and is stored in advance in the above-described storage unit 76 (see FIG. 5), for example.

[0071] The charging conditions include, for example, the charging amount of blast furnace raw materials (coke or iron ore) per dump, the total number of revolutions of the swivel chute 40 per dump, the notch used, and the number of revolutions and the charging speed (t / s) of the blast furnace raw materials (falling flow S) falling from the swivel chute 40. The charging speed of the blast furnace raw materials is calculated based on, for example, the set value or measured value of the charging amount and charging time of the blast furnace raw materials per dump.

[0072] In addition, the charging conditions include the inclination angle θ of the swivel chute 40. The inclination angle θ of the swivel chute 40 is controlled by, for example, the notch. The notch of the swivel chute 40 is a number associated with a predetermined inclination angle θ of the swivel chute 40, such as in the notch table shown in Table 1 below. This notch table is stored in advance in the aforementioned storage unit 76 (see FIG. 5), for example. The inclination angle θ of the swivel chute 40 corresponding to the notch can be changed as appropriate.

[0073]

Table 1

[0074] (Weighing and Conveying Control Unit) The weighing and conveying control unit 84 controls, for example, a weighing device (not shown) for each dump to weigh a predetermined amount of blast furnace raw materials (iron ore or coke, etc.) from the raw material tank. The weighing and conveying control unit 84 also controls the conveying device 32 to convey the weighed blast furnace raw materials to the top charging machine 30 at the furnace top 12.

[0075] (Particle Size Measuring and Controlling Unit) The particle size measuring and controlling unit 86 controls the particle size measuring device 50 to continuously or periodically measure the particle size of the blast furnace raw materials conveyed to the blast furnace 10 by the conveying device 32 or the like. Then, the measured particle size information of the blast furnace raw materials is registered in the falling flow width table described later in association with the charging conditions of the swivel chute 40.

[0076] (Charging Control Unit) The charging control unit 88 controls the operation of the swivel chute 40 and charges blast furnace raw materials into the blast furnace 10 from the furnace top 12. At this time, the charging control unit 88 controls the swivel chute 40 based on the charging conditions of the blast furnace raw materials acquired by the charging condition acquisition unit 82, and charges a predetermined amount of blast furnace raw materials into the blast furnace 10.

[0077] (Falling flow width measurement control unit) The measurement unit 62A controls the falling flow width measuring device 60 and measures the falling flow width W of the blast furnace raw materials falling from the swiveling swivel chute 40. Then, the measured falling flow width W of the blast furnace raw materials is registered in the falling flow width table in association with the charging conditions of the swivel chute 40.

[0078] FIG. 6 shows, as an example, an extract of the falling flow width table of iron ore (sintered ore) as blast furnace raw materials. The falling flow width table is stored in advance, for example, in the storage unit 76 (see FIG. 5) described above. Note that since the falling flow width table of coke as blast furnace raw materials is the same as that of iron ore, the description thereof is omitted.

[0079] In the falling flow width table of iron ore, for example, the usage period of the swivel chute, the dimensionless falling flow width of iron ore (sintered ore), the average particle size of iron ore (sintered ore), the inclination angle θ of the swivel chute, and the charging speed of iron ore are stored in association with each other.

[0080] The usage period of the swivel chute is the period since the start of the use of the swivel chute 40, and is managed, for example, in units of weeks. Note that the usage period of the swivel chute is not limited to units of weeks, and may be managed, for example, in units of days or hours.

[0081] The dimensionless falling flow width of iron ore is an example of an index indicating the degree of wear of blast furnace raw materials, and is calculated based on the falling flow width W of iron ore. This dimensionless falling flow width is represented by the ratio of the measured value of the falling flow width W to the reference value of the falling flow width W (= measured value of the falling flow width W / reference value of the falling flow width W).

[0082] The reference value of the falling flow width W is, for example, the falling flow width W measured immediately after the start of use of the swivel chute 40. That is, the reference value of the falling flow width W is the falling flow width W (hereinafter also referred to as the "initial falling flow width") of the blast furnace raw material (iron ore) falling from the non-worn swivel chute 40. Note that the reference value of the falling flow width W can be changed as appropriate.

[0083] The average particle size of the iron ore is measured by the particle size measuring device 50. This average particle size of the iron ore is an example of the particle size of the blast furnace raw material. Note that the particle size of the blast furnace raw material is not limited to the average particle size of the blast furnace raw material, and may be other indicators indicating the size of the particles of the blast furnace raw material.

[0084] The inclination angle θ of the swivel chute is set to the set value of the inclination angle θ of the swivel chute registered in the charging schedule table. Also, the charging speed of the blast furnace raw material is calculated based on, for example, the set value or the measured value of the charging amount and the charging time of the blast furnace raw material per dump.

[0085] (Wear estimation unit) The wear estimation unit 92 extracts the falling flow width W under the condition that the charging condition is a predetermined condition and the particle size of the blast furnace raw material is within a predetermined range from a plurality of falling flow widths W measured by the falling flow width measuring device 60, and based on the extracted falling flow width W, estimates the degree of wear of the swivel chute 40. Note that in the present embodiment, as described above, the falling flow width W of the blast furnace raw material is converted into a dimensionless falling flow width.

[0086] For example, in the falling flow width table shown in FIG. 6, the extraction conditions for the falling flow width W of the iron ore, that is, the dimensionless falling flow width of the iron ore, are such that the charging conditions of the swivel chute 40 are the same and the average particle size of the iron ore is the same. Thereby, the dimensionless falling flow widths with the service life of the swivel chute being 1, 11, 25, 40, 46 [weeks] are extracted.

[0087] Note that the same conditions for the charging speed of the swivel chute 40 may include errors. In this embodiment, as an example, the same conditions for the charging speed of the swivel chute 40 allow an error of ±0.02 [t / s] (charging speed: 0.73 to 0.74 [t / s] is extracted). Also, as an example, the same conditions for the average particle size of the iron ore allow an error of ±0.2 [mm] (average particle size: 20.4 to 20.6 is extracted).

[0088] The dimensionless falling flow width when the usage period of the swivel chute 40 is 1, 11, 25, 40, 46 [weeks] is 1.00, 1.00, 1.03, 1.10, 1.13, and the value increases as the usage period of the swivel chute 40 becomes longer. From this, it is inferred that the wear of the swivel chute 40 has progressed as the usage period of the swivel chute 40 becomes longer. This is because generally, when the wear amount of the swivel chute 40 increases, the falling flow width W of the blast furnace raw material becomes wider.

[0089] From the above, the wear estimation unit 92 estimates the dimensionless falling flow width (1.13) with the longest usage period of the swivel chute 40 among the extracted dimensionless falling flow widths of the iron ore as the degree of wear of the swivel chute.

[0090] Note that in this embodiment, the extraction conditions for the dimensionless falling flow width extracted from the falling flow width table are that the charging conditions of the swivel chute 40 are the same and the average particle size of the iron ore is the same. However, the charging conditions of the swivel chute 40 are not limited to being the same, and a predetermined width may be provided for the inclination angle θ of the swivel chute 40 or the charging speed of the blast furnace raw material. Similarly, the conditions for the average particle size of the iron ore are not limited to being the same, and a predetermined width may be provided. That is, the conditions for the particle size of the iron ore can be set within a predetermined range.

[0091] (Wear determination unit) The wear determination unit 94 compares the degree of wear of the swivel chute estimated by the wear estimation unit 92 (dimensionless falling flow width: 1.13) with a predetermined threshold value.

[0092] In this embodiment, as shown in FIG. 7, three levels of threshold values (first threshold value L1, second threshold value L2, third threshold value L3) are set according to the degree of wear of the swivel chute 40. As an example, the first threshold value L1 is set to 1.05, the second threshold value is set to 1.10, and the third threshold value L3 is set to 1.15. The first threshold value L1, the second threshold value L2, and the third threshold value L3 are stored in advance in the aforementioned storage unit 76 (see FIG. 5), for example.

[0093] When the estimated degree of wear of the swivel chute (dimensionless falling flow width) is equal to or greater than the first threshold value L1 and less than the second threshold value, or equal to or greater than the second threshold value L2 and less than the third threshold value, the wear determination unit 94 determines that it is necessary to correct the charging condition of the swivel chute 40. On the other hand, when the estimated dimensionless falling flow width of the iron ore is equal to or greater than the third threshold value, it is determined that the swivel chute 40 needs to be replaced.

[0094] The first threshold value L1 and the second threshold value L2 are examples of a threshold value and a threshold value for changing the charging condition. The third threshold value L3 is an example of a threshold value for notification. The threshold value for the degree of wear of the swivel chute 40 is not limited to three levels, and may be, for example, one level or four levels or more.

[0095] (Charging condition correction unit) When the wear determination unit 94 determines that it is necessary to correct the charging condition of the swivel chute 40, the charging condition correction unit 96 corrects the charging condition of the blast furnace raw material so that the falling flow width W of the blast furnace raw material approaches the falling flow width W measured immediately after the start of use of the swivel chute 40, that is, the initial falling flow width of the blast furnace raw material falling from the unworn swivel chute 40.

[0096] Specifically, the charging condition correction unit 96 performs at least one of correcting the inclination angle θ of the swivel chute 40, changing the notch to be used, and correcting the number of revolutions of the swivel chute 40 at the notch to be used. As a result, since the falling flow width W of the blast furnace raw material falling from the swivel chute 40 has widened, it is possible to bring the deposition shape closer to the target state (deposition shape) from the state where the deposition shape of the deposit 20 has changed.

[0097] Note that the inclination angle θ of the swivel chute 40 may be corrected by changing the notch of the swivel chute 40 (see Table 1), or the inclination angle θ of the swivel chute 40 associated with the notch may be corrected without changing the notch.

[0098] (Notification control unit) When the wear determination unit 94 determines that the swivel chute 40 needs to be replaced, the notification control unit 98 displays, for example, a message indicating the replacement timing of the swivel chute 40 on the display unit of the input / output device 78.

[0099] (Blast furnace operation method) Next, an example of a blast furnace operation method will be described while explaining the operation of the blast furnace operation control device 80.

[0100] When operating the blast furnace 10, in the blast furnace operation control device 80, a blast furnace operation process is executed. The blast furnace operation process includes a charging process for charging blast furnace raw materials into the blast furnace 10 and a wear determination process for determining the wear of the swivel chute 40. Note that the blast furnace operation process is an example of a blast furnace operation method.

[0101] (Charging process) First, the charging process will be described. The charging process is executed in the blast furnace operation control device 80 when charging blast furnace raw materials into the blast furnace 10 from the furnace top 12. Note that the particle size measuring device 50 and the falling flow width measuring device 60 are pre-operated.

[0102] In the charging process, as shown in FIG. 8, first, in step S10, the CPU 72 acquires various charging conditions from the charging schedule table stored in the storage unit 76.

[0103] Next, in step S12, based on the charging conditions, the CPU 72 operates a weighing device (not shown), weighs a predetermined amount of blast furnace raw materials (coke or iron ore) from the raw material tank, and operates the conveying device 32 to convey the weighed blast furnace raw materials to the top charging machine 30 at the furnace top 12 of the blast furnace. At this time, the particle size (average particle diameter) of the blast furnace raw materials conveyed by the conveying device 32 or the like is measured by the particle size measuring device 50.

[0104] Next, in step S14, based on the charging conditions, the CPU 72 sets the notch of the swivel chute 40 and drops the blast furnace raw materials from the swivel chute 40 into the blast furnace 10 while rotating the swivel chute 40.

[0105] As a result, a predetermined amount of blast furnace raw materials is deposited as the deposit 20 in the blast furnace 10. At this time, when the swivel chute 40 passes over the measuring portion 62A of the falling flow width measuring device 60, the falling flow width W of the blast furnace raw materials is measured by the falling flow width measuring device 60.

[0106] The measured falling flow width W of the blast furnace raw materials is associated with the service life of the swivel chute 40, the charging conditions of the swivel chute 40, and the particle size (average particle diameter) of the blast furnace raw materials and stored in a falling flow width table (see FIG. 6). At this time, the falling flow width W is converted into a dimensionless falling flow width and stored in the falling flow width table.

[0107] By repeating this charging process, various data such as the dimensionless falling flow width are accumulated in the falling flow width table.

[0108] (Wear determination process) Next, the wear determination process will be described. The wear determination process is executed, for example, at any time or periodically in the blast furnace operation control device 80 during the operation of the blast furnace 10.

[0109] In the wear determination process, as shown in FIG. 9, first, in step S20, the CPU 72 estimates the degree of wear of the swivel chute 40.

[0110] Specifically, the CPU 72 extracts a dimensionless falling flow width from a plurality of falling flow widths W measured by the falling flow width measuring device 60, that is, a plurality of dimensionless falling flow widths stored in the falling flow width table (see FIG. 6), where the charging condition is a predetermined condition and the particle size of the blast furnace raw material is within a predetermined range.

[0111] Then, among the extracted plurality of dimensionless falling flow widths, the dimensionless falling flow width with the longest service life of the swivel chute is estimated as the degree of wear of the swivel chute 40. In FIG. 6, the dimensionless falling flow width (1.13) with a service life of 46 weeks is estimated as the degree of wear of the swivel chute 40.

[0112] (First threshold value) Next, in step S22, the CPU 72 determines whether the dimensionless falling flow width of the blast furnace raw material indicating the degree of wear of the swivel chute 40 is greater than or equal to the first threshold value L1. And when the CPU 72 determines that the dimensionless falling flow width of the blast furnace raw material is less than the first threshold value L1 (dimensionless falling flow width < first threshold value L1), the process ends. On the other hand, when the CPU 72 determines that the dimensionless falling flow width of the blast furnace raw material is greater than or equal to the first threshold value L1 (dimensionless falling flow width ≥ first threshold value L1), it proceeds to step S24.

[0113] Next, in step S24, the CPU 72 determines whether the dimensionless falling flow width of the blast furnace raw material is greater than or equal to the second threshold value L2. And when the CPU 72 determines that the dimensionless falling flow width of the blast furnace raw material is less than the second threshold value L2 (dimensionless falling flow width < second threshold value L2), it proceeds to step S26.

[0114] Next, in step S26, the CPU 72 determines whether the number of correction times of the charging condition is 1 or more. And when the CPU 72 determines that the number of correction times of the charging condition is 1 or more (number of correction times ≥ 1), the process ends. On the other hand, when the CPU 72 determines that the number of correction times of the charging condition is less than 1 (number of correction times < 1), that is, when it determines that the number of correction times of the charging condition is 0 times, it proceeds to step S28.

[0115] Next, in step S28, the CPU 72 corrects the charging conditions of the swivel chute 40. Specifically, the CPU 72 corrects at least one of the inclination angle θ of the swivel chute 40, the change of the notch to be used, and the rotation speed of the swivel chute 40 at the notch to be used so that the target deposition shape can be formed even when the falling flow width W of the blast furnace raw material widens.

[0116] Thereby, fluctuations in the deposition distribution of the blast furnace raw material (deposit 20) deposited in the blast furnace 10 are suppressed.

[0117] Note that, as described above, the inclination angle θ of the swivel chute 40 may be corrected by changing the notch of the swivel chute 40 (see Table 1), or may be corrected by changing the inclination angle θ of the swivel chute 40 associated with the notch without changing the notch.

[0118] Next, in step S30, the CPU 72 adds 1 to the number of correction times of the charging conditions and ends the process.

[0119] (Second threshold value) Also, in step S24 described above, when the CPU 72 determines that the dimensionless falling flow width of the blast furnace raw material is equal to or greater than the second threshold value L2, it proceeds to step S32.

[0120] Next, in step S32, the CPU 72 determines whether the dimensionless falling flow width of the blast furnace raw material is equal to or greater than the third threshold value L3. And when the CPU 72 determines that the dimensionless falling flow width of the blast furnace raw material is less than the third threshold value L3 (dimensionless falling flow width < third threshold value L3), it proceeds to step S34.

[0121] In step S34, the CPU 72 determines whether the number of correction times of the charging conditions is 2 or more. And when the CPU 72 determines that the number of correction times of the charging conditions is 2 or more (correction times ≧ 2), it ends the process. On the other hand, when the CPU 72 determines that the number of correction times of the charging conditions is less than 2 (correction times < 2), it proceeds to step S28.

[0122] Next, in step S28, the CPU 72 corrects the charging conditions of the swivel chute 40. Specifically, the CPU 72 corrects at least one of the inclination angle θ of the swivel chute 40, the change of the notch to be used, and the rotation speed of the swivel chute 40 at the notch to be used so that the target deposition shape can be formed even when the falling flow width W of the blast furnace raw material widens.

[0123] Thereby, a blast furnace raw material (iron ore layer 20A or coke layer 20B) having a predetermined layer thickness can be deposited in the blast furnace 10.

[0124] Next, in step S30, the CPU 72 adds 1 to the number of correction times of the charging conditions and ends the process.

[0125] (Third threshold value) Also, in step S32 described above, when the CPU 72 determines that the dimensionless falling flow width of the blast furnace raw material is equal to or greater than the third threshold value L3 (dimensionless falling flow width ≥ third threshold value L3), the process proceeds to step S36.

[0126] Next, in step S36, the CPU 72, for example, displays a message indicating the replacement time of the swivel chute 40 on the display unit of the input / output device 78 and ends the process.

[0127] (Effect) Next, the effects of the present embodiment will be described.

[0128] According to the present embodiment, the particle size of the blast furnace raw material conveyed to the top charger 30 by the conveying device 32 or the like is measured by the particle size measuring device 50. Further, the top charger 30 charges the blast furnace raw material into the blast furnace 10 while changing the charging conditions of the swivel chute 40. At this time, the falling flow width W of the blast furnace raw material falling from the swiveling swivel chute 40 is measured by the falling flow width measuring device 60.

[0129] The falling flow width W of the blast furnace raw materials measured by the falling flow width measuring device 60 is accumulated in a falling flow width table (see FIG. 6) in association with the particle size (average particle diameter) of the blast furnace raw materials measured by the particle size measuring device 50, the service life of the swivel chute 40, and the charging conditions of the swivel chute 40. In this embodiment, the falling flow width W of the blast furnace raw materials is converted into a dimensionless falling flow width and accumulated in the falling flow width table.

[0130] Here, the falling flow width W of the blast furnace raw materials falling from the swivel chute 40 varies not only due to the wear of the swivel chute 40, but also due to the charging conditions of the swivel chute 40 and the particle size of the blast furnace raw materials. Therefore, in this embodiment, based on the falling flow width under the condition that the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, the degree of wear of the swivel chute 40 is estimated.

[0131] Specifically, as shown in FIG. 6, from the plurality of dimensionless falling flow widths accumulated in the falling flow width table, the dimensionless falling flow widths under the condition that the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range are extracted, and based on the extracted dimensionless falling flow widths, the degree of wear of the swivel chute 40 is estimated. In FIG. 6, the dimensionless falling flow width (1.13) with a service life of 46 weeks is estimated as the degree of wear of the swivel chute 40.

[0132] By aligning the charging conditions of the swivel chute 40 and the conditions of the particle size of the blast furnace raw materials in this way, the variation in the falling flow width caused by the wear of the swivel chute 40 can be grasped. Therefore, the estimation accuracy of the degree of wear of the swivel chute 40 based on the falling flow width W of the blast furnace raw materials falling from the swivel chute 40 can be improved.

[0133] Also, for each different charging condition (for example, for each different inclination angle θ of the swivel chute 40), the variation in the falling flow width caused by the wear of the swivel chute 40 can be grasped. Therefore, the estimation accuracy of the degree of wear of the charging device based on the falling flow width of the blast furnace raw materials falling from the swivel chute 40 can be further improved.

[0134] In addition, in the present embodiment, as described above, the particle size (average particle diameter) of the blast furnace raw materials conveyed to the top charger 30 by the conveying device 32 or the like is measured by the particle size measuring device 50. As a result, it becomes possible to more accurately grasp the particle size of the blast furnace raw materials falling from the swivel chute 40.

[0135] Furthermore, in the present embodiment, the particle size of the blast furnace raw materials conveyed to the top charger 30 by the conveying device 32 or the like is continuously or periodically measured by the particle size measuring device 50. As a result, it becomes possible to more accurately grasp the particle size of the blast furnace raw materials falling from the swivel chute 40. Therefore, the estimation efficiency of the wear degree of the swivel chute 40 can be improved.

[0136] Also, in the present embodiment, when the estimated wear degree (dimensionless falling flow width) of the swivel chute 40 is equal to or greater than the first threshold value L1 or the second threshold value L2, the charging condition of the swivel chute 40 is changed so that the falling flow width W approaches the initial falling flow width.

[0137] Thereby, fluctuations in the deposition distribution of the blast furnace raw materials (deposits 20) deposited in the blast furnace 10 can be suppressed. Therefore, since a decrease in the air permeability in the blast furnace is suppressed, the stabilization of blast furnace operation can be achieved.

[0138] Furthermore, when the estimated wear degree (dimensionless falling flow width) of the swivel chute 40 is equal to or greater than the third threshold value L3, for example, a message indicating the replacement time of the swivel chute 40 is displayed on the display unit of the input / output device 78. Thereby, the swivel chute 40 can be replaced at an appropriate time.

[0139] (Modification example) Next, a modification example of the above embodiment will be described.

[0140] In the above embodiment, the falling flow width W of the blast furnace raw materials dropped into the blast furnace 10 from the swivel chute 40 under different charging conditions was measured a plurality of times by the falling flow width measuring device 60, and the measured falling flow width W was converted into a dimensionless falling flow width and stored in the falling flow width table.

[0141] However, for example, when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, the falling flow width W of the blast furnace raw materials dropped into the blast furnace 10 from the swivel chute 40 may be measured by the falling flow width measuring device 60, and the measured falling flow width W may be converted into a dimensionless falling flow width and accumulated in a falling flow width table.

[0142] Thereby, without extracting the dimensionless falling flow width under the condition that the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range from the plurality of dimensionless falling flow widths accumulated in the falling flow width table, it becomes possible to grasp the variation in the measured value of the falling flow width due to the wear of the swivel chute 40. Therefore, the estimation efficiency of the degree of wear of the swivel chute 40 can be improved.

[0143] Also, in the above embodiment, the dimensionless falling flow width is used as an index indicating the degree of wear of the swivel chute 40. However, the index indicating the degree of wear of the swivel chute 40 is not limited to the dimensionless falling flow width, and for example, the measured falling flow width W may be used.

[0144] Also, in the above embodiment, the particle size of the blast furnace raw materials conveyed to the top charging machine 30 by the conveying device 32 or the like is continuously or periodically measured by the particle size measuring device 50. However, the particle size measuring device 50 is not limited to continuous or periodic measurement, and for example, the particle size of the blast furnace raw materials may be measured at any time. Also, the particle size of the blast furnace raw materials is not limited to the particle size measuring device 50, and for example, the blast furnace raw materials conveyed to the blast furnace 10 may be sampled and determined from the sampled blast furnace raw materials.

[0145] Also, in the above embodiment, the charging device is a bell-less type swivel chute 40. However, the charging device is not limited to the swivel chute 40, and for example, a bell type movable arm or the like may be used. In this case, the charging conditions of the charging device include, for example, the armor notch of the movable arm, the large bell stroke, the large bell opening speed, and the like.

[0146] Also, in the above embodiment, the control unit (processor) includes a general-purpose processor (e.g., CPU: Central Processing Unit, etc.) or a dedicated processor (e.g., GPU: Graphics Processing Unit, ASIC: Application Specific Integrated Circuit, FPGA: Field Programmable Gate Array, programmable logic device, etc.).

[0147] Also, the processing flow in the blast furnace operation control device 80 described in the above embodiment is also an example, and within the scope not departing from the gist of the technology disclosed in the present application, unnecessary steps may be deleted, new steps may be added, or the processing order may be changed.

[0148] Also, in the above embodiment, the form in which each program is installed in the ROM or storage is described, but it is not limited thereto. Each program according to the above embodiment may be provided in a form recorded on a computer-readable storage medium. For example, each program according to the above embodiment may be provided in a form recorded on an optical disk such as a CD (Compact Disc)-ROM and a DVD (Digital Versatile Disc)-ROM, or in a form recorded on a semiconductor memory such as a USB (Universal Serial Bus) memory and a memory card. Also, each program according to the above embodiment may be acquired from an external device via a communication I / F.

[0149] As described above, one embodiment of the technology disclosed in the present application has been described, but the technology disclosed in the present application is not limited to the above embodiment. Also, the above embodiment and various modifications may be used in appropriate combination, and it goes without saying that the technology disclosed in the present application can be implemented in various ways within the scope not departing from the gist thereof.

[0150] Although the above has described one embodiment of the technology disclosed in the present application, the technology disclosed in the present application is not limited to the above-described embodiment. Further, the above embodiment and various modifications may be used in appropriate combination, and of course, it can be implemented in various modes without departing from the gist of the technology disclosed in the present application.

Description of Reference Numerals

[0151] 10 Blast furnace 40 Swivel chute (charging device) 80 Blast furnace operation control device L1 First threshold value (threshold value) L2 Second threshold value (threshold value) W Drop flow width

Claims

1. Measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times, Based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, estimate the degree of wear of the charging device. A method for estimating the wear of a charging device.

2. Measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times under different charging conditions, Among the plurality of measured falling flow widths, based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, estimate the degree of wear of the charging device. The method for estimating the wear of a charging device according to Claim 1.

3. When the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace. The method for estimating the wear of a charging device according to Claim 1.

4. Measure the particle size of the blast furnace raw materials conveyed to the charging device, Based on the falling flow width when the charging conditions are predetermined conditions and the measured particle size of the blast furnace raw materials is within a predetermined range, estimate the degree of wear of the charging device. The method for estimating the wear of a charging device according to Claim 1.

5. Continuously or periodically measure the particle size of the blast furnace raw materials conveyed to the charging device. The method for estimating the wear of a charging device according to Claim 4.

6. When the degree of wear of the charging device estimated by the method for estimating the wear of a charging device according to any one of Claims 1 to 5 is equal to or greater than a threshold value, change the charging conditions. A blast furnace operation method.

7. Measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times, Based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, estimate the degree of wear of the charging device. A blast furnace operation control device including a control unit that executes processing.

8. Measure the falling flow width of the blast furnace raw materials charged from the charging device into the blast furnace a plurality of times, Based on the falling flow width when the charging conditions are predetermined conditions and the particle size of the blast furnace raw materials is within a predetermined range, estimate the degree of wear of the charging device. A blast furnace operation control program that causes a computer to execute processing.

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