JP6763251B2 - Composition ratio estimation device, composition ratio estimation program, and its method - Google Patents

Description

The present invention relates to a composition ratio estimation device, a composition ratio estimation program, and a method thereof. More specifically, the present invention relates to a composition ratio estimation device for a mineral phase structure of a sinter and a sinter cake (hereinafter, also referred to as a sinter or the like) before crushing, a composition ratio estimation program, and a method thereof.

In order to improve the operational stability of the blast furnace and improve the operating condition of the blast furnace, it is preferable to grasp the constituent minerals and pore structure of the sinter to be charged into the blast furnace (for example, Non-Patent Documents 1 and 2). reference). There are _four sinters: hematite phase (Fe ₂ O ₃ ), magnetite phase (Fe ₃ O ₄ ), calcium ferrite phase (CaOF e ₂ O ₃ , hereinafter also referred to as CF phase), and slag phase (amorphous phase). It is composed of two mineral phase structures and pores. It is preferable to know the content ratio of the calcium ferrite phase, which is considered to have good reducibility, in the mineral phase structure of the sinter (see, for example, Non-Patent Document 3). It is possible to measure the content ratio of the calcium ferrite phase contained in the sinter by observing the cut surface of the sinter that has been polished after filling the pores of the sinter with a resin and magnifying it with a microscope. Yes (for example, Patent Documents 1 to 4).

Japanese Unexamined Patent Publication No. 58-034142 Japanese Unexamined Patent Publication No. 58-037132 JP-A-58-042732 Japanese Unexamined Patent Publication No. 2014-215987

"Relationship between sinter structure and reducing properties" Sato et al., Iron and Steel 68 (1982), pp. 2215 to pp. 2222 "Quantitative Determination of Sinter Structure by Image Analysis" Shibuya et al, Transactions of the Iron and Steel Institute of Japan, 25 (1985), 257-260. "Modeling of melting phenomenon in sintering process" Sato et al., Iron and Steel 70 (1984), pp. 657-664

When measuring the content ratio of the calcium ferrite phase by observing the observation surface of the cut surface of the sinter magnified with a microscope, observe the cut surface as wide as possible to ensure the representativeness of the observed cut surface. There is a need to. However, the larger the area of the cut surface to be observed, the wider the observation surface magnified by the microscope. Therefore, it is not easy to secure the representativeness of the observed cut surface by the method of observing the enlarged observation surface with a microscope. For example, when observing a 3 cm ² cut surface with a microscope having a magnification of 300 times, the total area of the observed surface to be observed reaches 81 m ² (= (3 cm × 300) ² ).

Therefore, an object of the present invention is to provide a composition ratio estimation device capable of ensuring the representativeness of the observed cut surface.

The present invention for solving such a problem is the gist of the composition ratio estimation device, the composition ratio estimation program, and the composition ratio estimation method below.
(1) An imaging unit that generates image data by imaging a sample containing at least a calcium ferrite phase.
A target brightness group acquisition unit that acquires a target brightness group obtained by removing brightness equal to or less than a predetermined threshold value from a brightness group that is a set of the brightness of each pixel included in the image corresponding to the image data.
Among the brightness included in the target brightness group, the most frequent brightness determination unit that determines the most frequent brightness, and
A content ratio estimation unit that estimates the content ratio of the calcium ferrite phase contained in the sample based on the correspondence between the content ratio of the calcium ferrite phase contained in the sample and the most frequent brightness.
A content ratio output unit that outputs the estimated content ratio of the calcium ferrite phase,
A composition ratio estimation device characterized by having.
(2) The configuration ratio estimation device according to (1), wherein the threshold brightness is larger than the brightness of macropores having a diameter larger than the resolution of the imaging unit.
(3) The composition ratio estimation device according to (1) or (2), wherein the sample contains at least one of a sinter cake and a sinter.
(4) The configuration ratio estimation device according to any one of (1) to (3), wherein the imaging unit includes a scanner.
(5) Image data is generated by imaging a sample containing at least a calcium ferrite phase.
A target luminance group obtained by removing the luminance below a predetermined threshold luminance from the luminance group which is a set of the luminance of each pixel included in the image corresponding to the image data is acquired.
Among the brightness included in the target brightness group, the most frequent brightness with the largest number is determined.
Based on the correspondence between the content ratio of the calcium ferrite phase contained in the sample and the highest brightness, the content ratio of the calcium ferrite phase contained in the sample is estimated.
A method for estimating a composition ratio, which comprises outputting the estimated content ratio of a calcium ferrite phase.
(6) Image data is generated by imaging a sample containing at least a calcium ferrite phase.
A target luminance group obtained by removing the luminance below a predetermined threshold luminance from the luminance group which is a set of the luminance of each pixel included in the image corresponding to the image data is acquired.
Among the brightness included in the target brightness group, the most frequent brightness with the largest number is determined.
Based on the correspondence between the content ratio of the calcium ferrite phase contained in the sample and the highest brightness, the content ratio of the calcium ferrite phase contained in the sample is estimated.
A composition ratio estimation program characterized by having a computer execute a process including outputting the estimated content ratio of the calcium ferrite phase.

In one embodiment, it is possible to provide a configuration ratio estimation device capable of ensuring the representativeness of the observed cut surface.

It is a figure which shows the composition ratio estimation apparatus which concerns on embodiment. FIG. 5 is a flowchart of a content ratio estimation process in which the composition ratio estimation device shown in FIG. 1 estimates the content ratio of the CF phase of the sinter. It is a figure which shows an example of the distribution of the luminance included in the target luminance group. It is a figure which shows an example of the CF phase estimation table shown in FIG. It is a figure which shows an example of the luminance distribution of the image which imaged the sample through a microscope. It is a figure which shows an example of the luminance distribution of the image which imaged the sample by a scanner. It is a figure which shows the correspondence relationship between the most frequent luminance and the content ratio of CF phase. It is a figure which shows the correspondence relationship between the most frequent brightness and the content ratio of micropores. It is a figure which shows the correspondence relation between the most frequent brightness and the content ratio of the hematite phase.

The composition ratio estimation device, the composition ratio estimation program, and the method thereof will be described with reference to the drawings below. However, the technical scope of the present invention is not limited to those embodiments.

(Outline of the constituent ratio estimation device according to the embodiment)
The composition ratio estimation device according to the embodiment is included in the target luminance group in which the luminance corresponding to the macropores is removed from the luminance group which is a set of the luminance of each pixel included in the image obtained by capturing a sample such as sinter. Among the brightnesses, the most frequent brightness is determined. The configuration ratio estimation device according to the embodiment estimates the content ratio of the CF phase contained in the sample based on the relationship between the content ratio of the CF phase contained in the sample and the most frequent brightness. The composition ratio estimation device according to the embodiment corresponds to the mode between the mode and the CF phase content ratio when the influence of macropores, which has a relatively large variation among samples in the composition of sinter or the like, is removed. The CF phase content ratio is estimated based on the finding that there is a relationship.

(Configuration and function of the configuration ratio estimation device according to the embodiment)
FIG. 1 is a diagram showing a configuration ratio estimation device according to an embodiment.

The configuration ratio estimation device 1 includes an image pickup device 10 and an arithmetic device 20. The composition ratio estimation device 1 is the highest in the target luminance group in which the luminance corresponding to the macropores having a diameter larger than the resolution of the imaging unit 11 is removed from the luminance of each pixel of the image of the sample imaged by the imaging apparatus 10. The CF phase content ratio is estimated based on the frequency of brightness.

The image pickup device 10 is, for example, a scanner, and has an image pickup unit 11 and a moving mechanism 12. The image pickup unit 11 has a CCD sensor, takes an image without enlarging the surface of the sinter 101, and outputs image data indicating the captured image to the arithmetic unit 20 via the LAN 15. The moving mechanism 12 movably supports the imaging unit 11 and moves the imaging unit 11 over a predetermined imaging range based on an instruction from a higher-level control device (not shown), whereby the firing included in the imaging range is included. Allows the imaging unit 11 to image the surface of the sinter 101.

The brightness of the image captured by the image pickup device 10 can be set by a user (not shown) via the arithmetic unit 20. In one example, the brightness of the image captured by the imaging device 10 can be set to 256 bits, and the brightness of the brightest portion of the hematite phase contained in the reference sample imaged by the imaging device 10 is set to "255". The darkest part contained in the reference sample may be set to "0".

The arithmetic unit 20 includes a communication unit 21, a storage unit 22, an input unit 23, an output unit 24, and a processing unit 30. The communication unit 21, the storage unit 22, the input unit 23, the output unit 24, and the processing unit 30 are connected to each other via the bus 200. The arithmetic unit 20 estimates the content ratio of the CF phase contained in the sinter 101 from the brightness of each pixel of the image of the sinter 101 imaged by the imaging device 10. In one example, the arithmetic unit 20 is a monitoring control device that monitors and controls the sintering process.

The communication unit 21 has a wired communication interface circuit such as Ethernet (registered trademark). The communication unit 21 communicates with the image pickup device 10 and a higher-level control device (not shown) via the LAN 25.

The storage unit 22 includes, for example, at least one of a semiconductor storage device, a magnetic tape device, a magnetic disk device, or an optical disk device. The storage unit 22 stores an operating system program, a driver program, an application program, data, and the like used for processing in the processing unit 30. For example, the storage unit 22 stores, as an application program, a content ratio estimation program for causing the processing unit 30 to execute a content ratio estimation process for estimating the content ratio of the CF phase of the sinter 101. The content ratio estimation program program may be installed in the storage unit 22 from a computer-readable portable recording medium such as a CD-ROM or a DVD-ROM using a known setup program or the like.

In addition, the storage unit 22 stores various data used in the content ratio estimation process. For example, the storage unit 22 stores the CF phase estimation table 221 used when estimating the CF phase content ratio of the sinter 101. Further, the storage unit 22 may temporarily store temporary data related to a predetermined process.

The input unit 23 may be any device as long as it can input data, for example, a touch panel, a keyboard, or the like. The operator can input characters, numbers, symbols, etc. using the input unit 23. When the input unit 23 is operated by an operator, the input unit 23 generates a signal corresponding to the operation. Then, the generated signal is supplied to the processing unit 30 as an instruction of the operator.

The output unit 24 may be any device as long as it can display an image, an image, or the like, and is, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display. The output unit 24 displays an image corresponding to the image data supplied from the processing unit 30, an image corresponding to the image data, and the like. Further, the output unit 24 may be an output device that prints an image, an image, characters, or the like on a display medium such as paper.

The processing unit 30 includes one or more processors and peripheral circuits thereof. The processing unit 30 comprehensively controls the overall operation of the arithmetic unit 20, and is, for example, a CPU. The processing unit 30 executes processing based on a program (driver program, operating system program, application program, etc.) stored in the storage unit 22. Further, the processing unit 30 can execute a plurality of programs (application programs and the like) in parallel.

The processing unit 30 includes an image data acquisition unit 31, a brightness extraction unit 32, a brightness removal unit 33, a target brightness group acquisition unit 34, a mode brightness determination unit 35, a content ratio estimation unit 36, and a content ratio output. It has a part 37. Each of these units is a functional module realized by a program executed by the processor included in the processing unit 30. Alternatively, each of these parts may be mounted on the arithmetic unit 20 as firmware.

(Content ratio estimation process by the configuration ratio estimation device according to the first embodiment)
FIG. 2 is a flowchart of the content ratio estimation process in which the composition ratio estimation device 1 estimates the content ratio of the CF phase of the sinter 101. The porosity determination process shown in FIG. 2 is mainly executed by the processing unit 30 in cooperation with each element of the arithmetic unit 20 based on the program stored in the storage unit 22 in advance.

First, the image data acquisition unit acquires image data indicating the image captured by the image pickup unit 11 from the image pickup unit 11 via the LAN 15 (S101).

Next, the luminance extraction unit 32 extracts the luminance of each of the pixels of the image corresponding to the image data acquired in the process of S101, and acquires the luminance group which is a set of the extracted luminances (S102). For example, when the resolution of the imaging unit 11 is 1200 [bpi], the luminance group includes 1200 × (area of the imaging range) / (2.54 cm ² ) luminances.

Next, the luminance removing unit 33 removes the luminance equal to or less than the predetermined threshold luminance from the luminance group acquired in the process of S102 (S103). The threshold brightness is a value larger than the brightness of the macropores, which have relatively low brightness in the mineral phase structure of the sinter 101. Since the threshold brightness is a value larger than the brightness of the pores, the brightness of the macropores is removed by the brightness removing unit 33 removing the brightness equal to or less than the threshold brightness. Since the brightness of the macropores is removed, the target brightness group includes the brightness of the substrate including the hematite phase, the magnetite phase, the CF phase and the slag phase, and the brightness of the micropores having a diameter smaller than the resolution of the imaging unit 11.

Next, the target luminance group acquisition unit 34 acquires the target luminance group, which is a set of luminances larger than the threshold luminance among the luminances included in the luminance group (S104).

Next, the most frequent brightness determination unit 35 determines the most frequent brightness among the brightness included in the target luminance group acquired in the process of S104 (S105).

FIG. 3 is a diagram showing an example of the distribution of the luminance included in the target luminance group. In FIG. 3, the horizontal axis represents the luminance and the vertical axis represents the number of extracted luminances. In the example shown in FIG. 3, the brightness of the brightest portion of the hematite phase contained in the reference sample is set to “255”, and the brightness of the darkest portion contained in the reference sample is set to “0”. The threshold brightness used when removing the brightness in S103 is "32".

The most frequent brightness determination unit 35 determines the most frequent brightness among the brightness "33" to the brightness "255" as the most frequent brightness Lm. The most frequent brightness is indicated by arrow A in FIG.

Next, the content ratio estimation unit 36 estimates the content ratio of the CF phase contained in the sinter 101 based on the relationship between the content ratio Rcf of the CF phase contained in the sinter 101 and the highest luminance Lm ( S106). More specifically, the content ratio estimation unit 36 estimates the CF phase content ratio Rcf contained in the sinter 101 with reference to the CF phase estimation table 221 stored in the storage unit 22.

FIG. 4 is a diagram showing an example of the CF phase estimation table 221.

The CF phase estimation table 221 stores the correspondence between the _n most frequent luminances Lm _{1 to} Lm _n and the content ratios of n CF phases Rcf _{1 to} Rcf _n .

Then, the content ratio output unit 37 outputs a CF phase content ratio signal indicating the content ratio Rcf of the calcium ferrite phase estimated in the process of S307 (S107).

(Action and effect of the composition ratio estimation device according to the embodiment)
The composition ratio estimation device 1 determines the CF phase based on the correspondence between the most frequent brightness and the CF phase content ratio, which is the largest number of pixels in the image of the sample such as the imaged sintered ore. Since the content ratio is estimated, it is not necessary to use a magnified observation surface of the captured image. Since the configuration ratio estimation device 1 estimates the CF phase content ratio without using an enlarged observation surface of the captured image, it is easy to secure the representativeness of the image.

Since the composition ratio estimation device 1 removes the brightness below the threshold brightness, which is larger than the brightness of the macro pores having a diameter larger than the resolution of the imaging unit 11, from the target brightness group, the estimated CF phase content ratio is the sample. It is not affected by macro-luminance, which varies widely from time to time.

Based on the finding that there is a correspondence between the most frequent luminance Lm and the CF phase content ratio Rcf when the influence of the macropores is removed, the configuration ratio estimation device 1 changes from the most luminance Lm to the CF phase. The content ratio Rcf is estimated. Hematite phase, magnetite phase, CF phase, slag phase, and micropores having a diameter smaller than the resolution of the imaging unit 11 are mixed and imaged in each of the pixels other than the pixel in which the macropores are imaged. The brightness of a pixel imaged in which hematite phase, magnetite phase, CF phase, slag phase and micropores are mixed becomes a value according to the abundance ratio of the mixed mineral phase structure. The more hematite phases with relatively high brightness are captured, the higher the brightness of the pixels. The more CF phases with relatively low brightness are captured, the lower the brightness of the pixels.

Since micropores such as sinter having a diameter smaller than the resolution of the imaging unit 11 coexist in the CF phase as voids formed in the CF phase, the content ratio of the micropores is proportional to the content ratio Rcf of the CF phase. To do. Since the micropore content ratio changes in proportion to the CF phase content ratio Rcf, the micropore content ratio does not change in a tendency different from that of the CF phase content ratio Rcf, and the micropore content ratio does not change. Does not affect the estimation of the CF phase content ratio Rcf.

Since the content ratio of the magnetite phase is relatively low, about 10% at the maximum, the influence of the fluctuation of the content ratio of the magnetite phase on the estimation of the content ratio Rcf of the CF phase is not large. Further, since the slag phase content ratio varies little from sample to sample, it does not affect the estimation of the CF phase content ratio Rcf.

(Modification example of the configuration ratio estimation device according to the embodiment)
The composition ratio estimation device 1 estimates the content ratio of the CF phase of the sinter 101, but the composition ratio estimation device according to the embodiment is a sample containing at least the CF phase such as a sinter and a pulverized product of a sinter cake. The content ratio of the CF phase can be estimated.

In the composition ratio estimation device 1, the processing unit 30 has the brightness extraction unit 32 and the brightness removal unit 33, but the processing executed by the brightness extraction unit 32 and the brightness removal unit 33 is executed by the imaging unit that images the sintered ore. You may. When the processing of the brightness extraction unit 32 and the brightness removal unit 33 is executed by the image pickup unit, the arithmetic unit has a predetermined threshold from the brightness group which is a set of the respective brightness of the pixels included in the image corresponding to the image data. The target brightness group from which the brightness below the value brightness is removed is acquired from the imaging unit.

The content ratio of the most frequent brightness and the CF phase is determined based on the CF phase content ratio determined from the image obtained by capturing the sample through a microscope and the most frequent brightness determined from the image obtained by capturing the sample by a scanner. The correspondence between them was calculated. Ten reagent samples and 12 mineral samples were used to calculate the correspondence between the most frequent brightness and the CF phase content. Each of the 10 reagent samples is a sample containing a plurality of reagents, and each of the 12 mineral samples is a sample containing iron ore having a diameter of less than 0.25 mm together with the reagents.

(Raw material composition of sample)
The first reagent sample 1 to the tenth reagent sample 10 and the first ore sample 1 to the twelfth ore sample 12 were prepared. The first reagent sample 1 to the third reagent sample 3 contains a Fe ₂ O ₃ reagent and a CaCO ₃ reagent. 4th reagent sample 4 to 7th reagent sample 7 contains SiO ₂ reagent in addition to Fe ₂ O ₃ reagent and CaCO ₃ reagent, and 8th reagent sample 8 to 10th reagent sample 10 contains Fe ₂ O ₃ reagent and CaCO ₃ Contains Al ₂ O ₃ reagents in addition to reagents. The first ore sample 1 to the third ore sample 3 contain iron ore A and a CaCO ₃ reagent, and the fourth reagent sample 4 to the sixth reagent sample 6 contains iron ore B and a CaCO ₃ reagent. The 7th ore sample 7 to 9th ore sample 9 contains iron ore C and CaCO ₃ reagent, and the 10th reagent sample 10 to 12th reagent sample 12 contains iron ore D and CaCO ₃ reagent. Each of iron ore A to iron ore D has different lots such as production areas.

Table 1 shows the content ratio of the reagent contained in the first reagent sample 1 to the tenth reagent sample 10, and Table 2 shows the content ratio of the reagent contained in the first ore sample 1 to the twelfth ore sample 12.

(Sample formation)
First, each of the first reagent sample 1 to 10th reagent sample 10 and the first ore sample 1 to 12th ore sample 12 is pressed at a pressure of 4 MPa as a tablet having a diameter of 8 mm and a height of 10 mm. Been formed. Next, each of the 1st reagent sample 1 to 10th reagent sample 10 and the 1st ore sample 1 to 12th ore sample 12 was placed in a nickel crucible and fired in an electric furnace. Each of the first reagent sample 1 to 10th reagent sample 10 and the first ore sample 1 to 12th ore sample 12 was heated from 1100 ° C. to 1290 ° C. in 1 minute, and then from 1290 ° C. to 1110 ° C. in 3 minutes. It was fired by a heat pattern that lowered the temperature. Since the maximum temperature at the time of firing is 1290 ° C. which is 1350 ° C. or lower, the magnetite phase is not contained in the first reagent sample 1 to the tenth reagent sample 10 and the first ore sample 1 to 12 ore sample 12. Each of the calcined first reagent samples 1 to 10 reagent samples 10 and the first ore samples 1 to 12 ore samples 12 was wet-polished after embedding the resin.

(Determination of CF phase content ratio of sample)
Images of the surfaces of the first reagent sample 1 to 10th reagent sample 10 and the first ore sample 1 to 12 ore sample 12 magnified 300 times with a microscope were acquired, and the brightness of each pixel of the acquired image was extracted. The content ratio of the mineral phase structure contained in the brightness range of the CF phase was measured. The acquired image was image-analyzed using the image analysis software program "WinROOF" manufactured by Mitani Corporation. The threshold value when determining the brightness range of the CF phase is determined based on the respective brightness ranges of the mineral phase structure determined by measuring the brightness of the minimum area where only the same mineral exists in the acquired image. Was done. The brightness range of the hematite phase is 230 to 255, the brightness range of the CF phase is 165-227, the brightness range of the slag phase and micropores is 110-165, and the brightness range of macropores is 0-110. It was. It should be noted that the slag phase is hardly contained in the sample of this experiment, the slag phase overlaps with the brightness of the boundary between the CF phase and the pores, and the ratio of the boundary between the CF phase and the pores is The slag phase was excluded from the analysis because it was higher than the slag phase content. That is, the luminance range of 110-165 was defined as the luminance range of micropores.

FIG. 5 is a diagram showing an example of the brightness distribution of an image obtained by capturing a sample through a microscope. In FIG. 5, the horizontal axis represents the luminance and the vertical axis represents the number of extracted luminances.

In the example shown in FIG. 5, the number of extracted luminances in the vicinity of the luminance "185" included in the luminance range of the CF phase shows the largest peak, and the luminance in the vicinity of the luminance "105" included in the luminance range of the pores. The number of extracts shows the second largest peak. Then, the number of extracted luminances in the vicinity of the luminance "230" included in the luminance range of the hematite phase shows the third largest peak.

In FIG. 5, the value obtained by dividing the area of the luminance distribution included in the luminance range of 165-227 by the area of the luminance distribution included in the range of 0-255 is the value obtained by dividing the first reagent sample 1 to the tenth reagent sample 10 and the first ore. The content ratio of each CF phase of Samples 1 to 12 ore Samples 12 was determined.

Similarly, the value obtained by dividing the area of the luminance distribution included in the luminance range of 110-165 by the area of the luminance distribution included in the range of 0-255 is the respective micro of the first reagent sample 1 to the tenth reagent sample 10. The porosity content was determined. Further, the value obtained by dividing the area of the luminance distribution included in the luminance range of 230 to 255 by the area of the luminance distribution included in the range of 0-255 is the hematite phase of each of the first reagent sample 1 to the tenth reagent sample 10. The content ratio of was determined.

(Determination of the most frequent brightness of the sample)
The first reagent sample 1 to the tenth reagent sample 10 and the first ore sample 1 to the twelfth ore sample 12 are respectively imaged by a scanner, and the first reagent sample 1 to the tenth reagent sample 10 and the first ore sample 1 to 1 The most frequent brightness of each of the twelfth ore samples 12 was measured. The scanner used was "PIXUS MG3130" manufactured by Canon Inc. The resolution is 1200 dpi, and the brightness is "0" to "255" in the range of "32" to "95" of the default brightness range shown in 256 gradations based on the imaging result when the reference sample is imaged by the scanner. Expanded to the range of. The lower limit brightness "32" in the default brightness range is a brightness larger than the brightness of the macropores contained in the reference sample. Further, the upper limit luminance "95" in the default luminance range is the luminance of the brightest portion of the hematite phase contained in the reference sample. The image captured by the scanner was image-analyzed using the image analysis software program "WinROOF" manufactured by Mitani Corporation.

FIG. 6 is a diagram showing an example of the brightness distribution of an image obtained by capturing a sample with a scanner. In FIG. 6, the horizontal axis represents the brightness and the vertical axis represents the number of extracted brightness.

The brightness distribution of the image captured by the scanner has only a single peak. Since each of the pixels of the image captured by the scanner is captured by a mixture of hematite phase, magnetite phase, CF phase, slag phase, and micropores having a diameter smaller than the resolution of the imaging unit 11, the microscope shown in FIG. It has a distribution different from the brightness distribution of the image through.

For each of the first reagent sample 1 to the tenth reagent sample 10 and the first ore sample 1 to the twelfth ore sample 12, the brightness located at the peak of the brightness distribution indicated by the arrow A in FIG. 6 is determined to be the most frequent brightness. It was. Next, the most frequent brightness was determined for each of the first reagent sample 1 to 10th reagent sample 10 and the first ore sample 1 to 12th ore sample 12.

(Calculation of the correspondence between the most frequent brightness and the content ratio of CF phase)
The relationship between the CF phase content ratio and the most frequent brightness determined for each of the first reagent sample 1 to 10th reagent sample 10 and the first ore sample 1 to 12th ore sample 12 was plotted. Then, the straight line obtained by approximating the plotted points by the least squares method was calculated as an equation showing the correspondence between the most frequent luminance and the content ratio of the CF phase.

FIG. 7 is a diagram showing a correspondence relationship between the most frequent luminance and the content ratio of the CF phase. In FIG. 7 , the horizontal axis represents the CF phase content ratio [%], and the vertical axis represents the most frequent luminance. The straight line showing the correspondence between the most frequent luminance and the content ratio of the CF phase indicates that the most frequent luminance decreases as the content ratio of the CF phase increases.

(Calculation of the correspondence between the most frequent brightness and the content ratio of micropores)
FIG. 8 is a diagram showing a correspondence relationship between the most frequent brightness and the content ratio of micropores. In FIG. 8 , the horizontal axis represents the content ratio [%] of micropores, and the vertical axis represents the most frequent brightness. Further, the straight line is a straight line approximated by the least squares method, and shows the correspondence between the most frequent luminance and the content ratio of micropores.

The straight line showing the correspondence between the most frequent luminance and the content ratio of the micropores is the same as the straight line showing the correspondence relationship between the most frequent luminance and the content ratio of the CF phase shown in FIG. It is shown that the most frequent brightness decreases as the ratio increases. That is, the correspondence between the mode brightness and the content ratio of micropores and the correspondence relationship between the mode brightness and the content ratio of the CF phase show a positive correlation.

(Calculation of the correspondence between the most frequent brightness and the content ratio of hematite phase)
FIG. 9 is a diagram showing a correspondence relationship between the most frequent brightness and the content ratio of the hematite phase. In FIG. 9 , the horizontal axis represents the content ratio [%] of the hematite phase, and the vertical axis represents the most frequent brightness. Further, the straight line is a straight line approximated by the least squares method, and shows the correspondence between the most frequent luminance and the content ratio of the hematite phase.

The straight line showing the correspondence between the most frequent luminance and the content ratio of the hematite phase is opposite to the straight line showing the correspondence relationship between the most frequent luminance and the content ratio of the CF phase shown in FIG. It is shown that the most frequent brightness increases as the content ratio increases. That is, the correspondence between the mode and the content ratio of the hematite phase and the correspondence between the mode and the content ratio of the CF phase show a negative correlation.

(Verification of validity of the composition ratio estimation method according to this embodiment)
Validity of the composition ratio estimation method according to the present embodiment using sinter α, sinter β and sinter γ, which are crushed products of sinter cake produced in the sintering steps of three steelworks. Was verified. The area of each cut surface of the sinter α to the sinter γ used for the verification was 10 cm ² .

Table 3 shows the CF phase content ratio estimated by the composition ratio estimation method according to the present embodiment and the CF phase content ratio measured from the result of observing the observation surface with a microscope. It shows about the ore β and the sinter γ. In the example shown in Table 3 , the correspondence between the most frequent luminance and the content ratio of the CF phase was determined using the straight line shown in FIG.

In the example shown in Table 3 , in the sinter α, the content ratio of the CF phase estimated by the composition ratio estimation method according to the present embodiment is 23%, which is measured from the result of observing the observation surface through a microscope. The content ratio of the CF phase is 27%. Further, in the sinter β, the content ratio of the CF phase estimated by the composition ratio estimation method according to the present embodiment is 35%, and the content of the CF phase measured from the result of observing the observation surface through a microscope. The ratio is 31%. Further, in the sinter γ, the content ratio of the CF phase estimated by the composition ratio estimation method according to the present embodiment is 52%, and the content of the CF phase measured from the result of observing the observation surface through a microscope. The ratio is 54%.

As shown in Table 3 , the CF phase content ratio estimated by the composition ratio estimation method according to the present embodiment substantially matches the CF phase content ratio measured from the result of observing the observation surface through a microscope. .. Therefore, the composition ratio estimation method according to the present embodiment is appropriate as a method for estimating the CF phase content ratio.

1 Composition ratio estimation device 10 Imaging device 11 Imaging unit 12 Moving mechanism 20 Computing device 30 Processing unit 31 Image data acquisition unit 32 Brightness extraction unit 33 Brightness removal unit 34 Target brightness group acquisition unit 35 Most frequent brightness determination unit 36 Content ratio estimation unit 37 Content ratio output unit

Claims (5)

An imaging unit that images a sample containing at least a calcium ferrite phase and generates image data,
A target brightness group acquisition unit that acquires a target brightness group obtained by removing brightness equal to or less than a predetermined threshold value from a brightness group that is a set of the brightness of each pixel included in the image corresponding to the image data.
Among the brightness included in the target brightness group, the most frequent brightness determining unit that determines the most frequent brightness, and
A content ratio estimation unit that estimates the content ratio of the calcium ferrite phase contained in the sample based on the correspondence between the content ratio of the calcium ferrite phase contained in the sample and the most frequent brightness.
It has a content ratio output unit that outputs the content ratio of the estimated calcium ferrite phase , and
A configuration ratio estimation device, characterized in that the threshold brightness is larger than the brightness of macropores having a diameter larger than the resolution of the imaging unit . The composition ratio estimation device according to claim 1 , wherein the sample contains at least one of a sinter cake and a sinter. The configuration ratio estimation device according to claim 1 or 2 , wherein the imaging unit includes a scanner. Image data is generated by imaging a sample containing at least a calcium ferrite phase.
A target luminance group obtained by removing the luminance equal to or less than a predetermined threshold luminance from the luminance group which is a set of the luminance of each pixel included in the image corresponding to the image data is acquired.
Among the brightnesses included in the target brightness group, the most frequent brightness having the largest number is determined.
The content ratio of the calcium ferrite phase contained in the sample is estimated based on the correspondence between the content ratio of the calcium ferrite phase contained in the sample and the most frequent brightness.
Including that the content ratio of the estimated calcium ferrite phase is output .
A method for estimating a composition ratio , wherein the threshold luminance is larger than the luminance of a macropore having a diameter larger than the resolution of the imaging unit . Image data is generated by imaging a sample containing at least a calcium ferrite phase.
A target luminance group obtained by removing the luminance equal to or less than a predetermined threshold luminance from the luminance group which is a set of the luminance of each pixel included in the image corresponding to the image data is acquired.
Among the brightnesses included in the target brightness group, the most frequent brightness having the largest number is determined.
The content ratio of the calcium ferrite phase contained in the sample is estimated based on the correspondence between the content ratio of the calcium ferrite phase contained in the sample and the most frequent brightness.
It is a composition ratio estimation program that causes a computer to execute a process including outputting the content ratio of the estimated calcium ferrite phase .
A composition ratio estimation program characterized in that the threshold brightness is larger than the brightness of macropores having a diameter larger than the resolution of the imaging unit .

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