KR20190074172A - Method of meansuring charging speed of melt in molten iron production device - Google Patents

Abstract

Disclosed is a method for measuring a discharging speed of a molten material in a molten iron production facility. The method for measuring a discharging speed of a molten material in a molten iron production facility according to the present invention comprises: a step of comparing images of two continuous discharged molten materials photographed by a high speed camera; a step of determining whether first outline feature patterns are all detected and whether second outline feature patterns are all detected on the images of the two continuous discharged molten materials, and whether the first outline feature patterns and the second outline feature patterns are respectively detected on a first image and a second image among the images of the two continuous discharged molten materials; a step of calculating an actual moving distance of a corresponding molten material stream based on a first shape recognition pattern when the first outline feature patterns are all detected on the images of the two continuously discharged molten materials and based on a second shape recognition pattern when the second outline feature patterns are all detected on the images of the two continuously discharged molten materials or when the first outline feature patterns and the second outline feature patterns are respectively detected on the first image and the second image among the images of the two continuously discharged molten materials; and a step of calculating the discharging speed of the molten material through photographing time information of the first image and the second image based on the actual moving distance of the corresponding molten material stream.

Description

TECHNICAL FIELD [0001] The present invention relates to a method for measuring a discharge rate of molten metal in a molten iron production facility,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a method for measuring a discharge speed of a molten iron production facility, and more particularly,

Generally, a facility for producing molten iron in a steel process is as shown in Fig. 1, in which the first raw material (iron ore) ② and the second fuel (coke) ③ are charged into the upper part of the equipment and the hot air ⑤ injected through the tuyere And the molten iron ⑧ and the slag ⑨ are produced by the reduction and melting of iron ore and then discharged through the outlet ⑥ after a certain period of time. The discharged molten ⑦ is separated into molten iron ⑧ and slag ⑨ due to the specific gravity difference, and the molten iron ⑧ is sent to the steelmaking process through a topedo ladle car ⑪, and the slag ⑨ is transferred to a slag treatment facility To be processed. Prediction of the amount of molten material remaining in the furnace by accurately measuring the amount of molten material (molten iron and slag) discharged from the molten iron production facility serves as a crucial factor for the management of aging of the molten iron production facility. The charcoal ⑧ and the slag ⑨ discharged from the charcoal production facility now measure the discharge amount by the dose and the amount of slag.

In other words, the dose is utilized by the weighing system of TLC (topedo ladel car), and the amount of slag is indirectly calculated through the spraying temperature and the water content of the slag treatment facility.

However, such a conventional measuring method has a problem of reliability of a charcoal weighing machine and difficulty in estimating the amount of slag discharged when the water supply equipment is not operated. For this reason, when the estimation accuracy of the remaining melt in the furnace is insufficient, it is impossible to accurately determine the starting and ending points of the outlet, resulting in a rise in the melt level in the furnace, resulting in a decrease in the production capacity of the charcoal production facility.

Korean Registered Patent No. 10-1032554 (Registered on Apr. 25, 2011)

The technical problem of the present invention is to provide a method for detecting the shape recognition pattern of melts in real time by using an ultra-high speed camera for the exit molten material between the exit port at the start position of molten iron production facility melt discharge and the shroud- To provide a method for measuring the discharge rate of a melt in a charcoal production facility.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not intended to limit the invention to the precise form disclosed. There will be.

(I) comparing images of two consecutive exit melts taken with an ultra-high speed camera; (ii) whether the outline distribution increase (slope) of the contiguous two outgoing line melts has been detected to the immediately preceding value and the first outline feature pattern which is maintained for a predetermined period, and whether the outline distribution increase (slope) Determining whether all of the second contour feature patterns that occur more than once in a specific region in which the contest soaring is determined are detected; (iii) when the first outline feature patterns are all detected in the images of the two consecutive outline feature patterns, the increment of the first outline feature patterns is 10% or more, Based on the first shape recognition pattern recognized as 60% or more, and when the second outline feature pattern is detected on the images of the consecutive two outgoing line melts, the increase width is 10% or more Based on the second shape recognition pattern in which mutual agreement is recognized as more than 70% in the two images between the frequency of occurrences of the corresponding increase events in the 1/20 region of the entire melt stream region from the recognized point of view, Calculating an actual movement distance; And (iv) determining a discharge rate of the melt through the shooting time information (time interval between two images) of the first image and the second image based on the actual moving distance of the corresponding application stream calculated in the step (iii) And calculating a melt discharge rate in the molten iron production facility.

Wherein the first outline feature pattern or the second outline feature pattern is formed by selecting a reference image of an exit emission image captured by the ultra-high speed camera, Value setting includes a feature pattern in which data is formed based on the resolution pixels of the photographing high-speed camera, the image data of the outline distribution and the melt flow direction are digitized, and the outline distribution of the reference image is first characterized. do.

Step (ii) includes: (ii-1) determining whether the first contour feature pattern is detected in the first image; (ii-2) if the first contour feature pattern is detected in the first image, determining whether the contour feature pattern is detected in the second image by obtaining the second image; (ii-3) checking the first shape recognition pattern when the first contour feature pattern is detected in the second image; (ii-4) determining whether the second contour feature pattern is detected in the first image when the first contour feature pattern is not detected in the first image as a result of the determination in step (ii-1) ; (ii-5) if the second outline feature pattern is detected in the first image, determining whether the second outline feature pattern is detected in the second image by obtaining the second image; And (ii-6) checking the second shape recognition pattern when the second contour feature pattern is detected in the second image.

Step (iii) is a step of determining the start point of the first shape recognition pattern or the start point of the same shape recognition pattern of the next image as the start point of the first shape recognition pattern or the second shape recognition pattern, which is first recognized among the shape recognition patterns, Checking; Each identified starting point is calculated as the number of pixels of the camera image; The inter-pixel distance of the camera image depends on the actual distance of the melt based on the actual distance of the actual exit melt stream from the actual distance of the melt stream to the number of pixels calculated by image analysis = And a step of calculating by using the step of calculating. And the discharge speed of the melt is calculated by the following equation.

According to the present invention, by using an ultra-high-speed camera for the discharged melt between the exit port of the melted material production facility melt discharge start position and the shatterproof cover provided to prevent scattering of the incoming and outgoing gifts, It is possible to measure the discharge rate of the molten material in the production facility, and thus has a useful effect of judging the aging of the charcoal production facility.

1 is a conceptual diagram showing a molten iron production facility according to the present invention.
2 is a view showing a configuration of a melt discharge rate measuring system in a molten iron production facility according to the present invention.
FIG. 3 is a view showing an example of a melter shape image of a molten iron production facility according to the present invention.
4 is a flowchart illustrating a method of measuring a discharge speed of a molten metal in a molten iron production facility according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, the well-known functions or constructions will not be described in order to simplify the gist of the present invention.

FIG. 2 is a view showing a configuration of a melt discharge rate measuring system in a molten iron production facility according to the present invention, FIG. 3 is a view showing an example of a molten iron shot image of a molten iron production facility according to the present invention, FIG. 2 is a flow chart illustrating a method for measuring the discharge velocity of a molten metal in a molten iron production facility. FIG.

The moving velocity of the discharged melt is a key factor for calculation of the amount of discharged molten metal, and in the present invention, it is limited to the traveling velocity of the discharged molten glass. In order to calculate the moving speed of the melted material coming out from the charcoal production facility, an image of the output melt is obtained by using an ultra-high speed camera ⑤ capable of shooting 90 frames per second. FIG. 3 shows an image of the melt wire. We want to derive a shape recognition pattern that can calculate the travel distance of the melt stream through the n-th image and the (n + 1) -th image captured by the high-speed camera ⑤.

In the present invention, an ultra-high speed camera capable of capturing 90 frames per second is used for calculating the moving speed of a molten iron production line in the present invention. In another embodiment of the present invention, in calculating the moving speed of the molten iron in the molten iron production facility, You can also use a high-speed camera that can shoot.

In the present invention, a pattern for quantifying the outline distribution characteristics of the melt stream is derived to derive the shape recognition pattern. As shown in Fig. 3 (identifying the circular marking), the outline distribution of the melt stream is characteristic of being able to specify the travel distance of the melt. Determination of shape recognition pattern and emission rate determination of molten waste discharged from a charcoal production facility using outline distribution is as follows.

The image analysis system ⑥ selects the reference image of the outgoing exit image photographed by the ultra-high speed camera ⑤ (step S402). The image analysis system (6) performs data extraction analysis on the reference image, and sets the values of the upper contour of the vertical axis of the melt and the horizontal axis of the melt flow direction based on the resolution pixels of the photographing ultra-high speed camera (5). The image analysis system ⑥ quantifies the image of the outline distribution of the data and the direction of the melt flow. A feature pattern is set in which the outline distribution of the reference image is first characterized.

In step S404 and step S406, the image analysis system 6 determines whether the first outline feature pattern, i.e., the outline distribution increase (slope) is increased in the nth image of the outgoing melt and the pattern is maintained for a predetermined period.

If it is determined in step 406 that the first outline feature pattern is detected in the nth image of the outgoing melt, the image analysis system 6 acquires the (n + 1) th image of the outgoing melt (step S408).

In step S410, the image analysis system 6 determines whether a first contour feature pattern, that is, a contour increase rate (slope) is increased to a value immediately before the n + 1th image of the outgoing melt and is maintained for a predetermined period of time.

If it is determined in step 410 that the first outline feature pattern is detected in the (n + 1) -th image of the outgoing melted material, the image analysis system 6 calculates the first shape recognition pattern, i.e., the first outline feature pattern, A pattern is recognized in which the mutual agreement degree in the two images is recognized as 60% or more (step S412).

The two images captured by the ultra-high speed camera 5 are compared with each other, and the movement distance of the melt stream is determined according to the shape recognition pattern as follows. (The (n + 1) -th image) of the first point of the pattern recognized first in the shape recognition pattern (i.e., the first shape recognition pattern) in the progress direction of the melt stream with respect to the first image The starting point of the pattern (i.e., the first shape recognition pattern) is confirmed. Each identified starting point calculates the difference value by the number of pixels of the camera image. The inter-pixel distance of the camera image computes the actual travel distance of the melt based on the actual distance of the actual exit melt stream.

Actual travel distance (m) = Number of pixels (EA) calculated by image analysis x One pixel distance (total actual distance of the melt stream, m / total number of pixels, EA)

Based on the actual movement distance calculated by the shape recognition pattern of the melt stream, the melt discharge rate (m / sec) is calculated from the photographing time information of the nth image and the (n + 1) s) is calculated through the following equation (2) (step S414).

On the other hand, if it is determined in step 406 that the first outline feature pattern is not detected in the n-th image of the outgoing melt, the image analysis system 6 adds the second outline feature pattern, i.e., ) Is detected twice or more within a specific area in which the event of increasing rapidly to the immediately preceding value is determined (step S416).

If it is determined in step S416 that the second contour feature pattern is detected in the n + 1th image of the outgoing melt, the image analysis system 6 acquires the (n + 1) th image of the outgoing melt (step S418).

The image analysis system (6) determines whether a second outline feature pattern is detected in the n + 1th image of the outgoing melt, that is, a pattern in which an increase in the outline distribution gradient (slope) occurs twice or more within a specific region (Step S420).

If the outline feature pattern 2 is detected in the (n + 1) -th image of the outgoing melt as a result of the determination in step 420, the image analysis system 6 determines that the increase in the second shape recognition pattern, i.e., A pattern in which mutual agreement is recognized as 70% or more in the two images during the frequency of occurrence of the corresponding increase event within the 1/20 region of the entire melt stream region is confirmed (step S422).

The start point of the pattern (i.e., the shape recognition pattern 2) first recognized in the shape recognition pattern in the advancing direction of the melt stream with respect to the initial image (nth image) (I.e., shape recognition pattern 2) of the same shape recognition pattern (i.e., image). Each identified starting point calculates the difference value by the number of pixels of the camera image. The inter-pixel distance of the camera image computes the actual travel distance of the melt based on the actual distance of the actual exit melt stream.

Actual travel distance (m) = number of pixels calculated by image analysis (EA) ㅧ one pixel distance (total actual distance of the melt stream (m), total number of pixels: EA)

Based on the actual movement distance calculated by the shape recognition pattern of the melt stream, the melt discharge rate (m / sec) is calculated from the photographing time information of the nth image and the (n + 1) s) (step S424)

On the other hand, if it is determined in step S410 that the outline feature pattern 1 is not detected in the (n + 1) -th image of the outgoing melt, the processing routine proceeds to step S416.

The shape recognition pattern is determined by comparing two consecutive images photographed by ultra-high-speed camera ⑤.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It is obvious to those who have. Accordingly, such modifications or variations should not be individually understood from the technical spirit and viewpoint of the present invention, and modified embodiments should be included in the claims of the present invention.

Figure 1:
①: Charter production facility
②: First raw material (iron ore)
③: Second fuel (coke)
④: Tung
⑤: Hot wind
⑥: Outpost
⑦: Melt
⑧: Charter
⑨: Slag
⑩: Slag treatment facility
⑪: Charge transfer facility
2:
①: Charter production facility
②: Outlet
③: The melt stream
④: Shatterproof cover
⑤: High speed camera
⑥: Image analysis system
⑦: Operation screen
3:
①: Charter Production Facility Outlet
②: Shatterproof cover
③: The melt stream
④, ④ ', ⑤, ⑤': Outline Distribution Characteristic pattern
⑥: direction of discharge melt

Claims (5)

(i) comparing images of two successive exit melts taken with an ultra high speed camera;
(ii) whether the outline distribution increase (slope) of the contiguous two outgoing line melts has been detected to the immediately preceding value and the first outline feature pattern which is maintained for a predetermined period, and whether the outline distribution increase (slope) Determining whether all of the second contour feature patterns that occur more than once in a specific region in which the contest soaring is determined are detected;
(iii) when the first facial feature patterns are all detected in the images of the two consecutive outgoing facial features, the increase in the first outline feature pattern is 10% or more, Based on the first shape recognition pattern recognized as 60% or more, and when the second outline feature pattern is detected on the images of the consecutive two outgoing line melts, the increase width is 10% or more Based on the second shape recognition pattern in which mutual agreement is recognized as more than 70% in the two images between the frequency of occurrences of the corresponding increase events in the 1/20 region of the entire melt stream region from the recognized point of view, Calculating an actual movement distance; And
(iv) calculating the discharge rate of the melt through the shooting time information (time interval between the two images) of the first image and the second image based on the actual moving distance of the corresponding application stream calculated in step (iii) Wherein the molten metal is discharged from the molten metal production facility. The method according to claim 1,
Wherein the first outline feature pattern or the second outline feature pattern is formed by selecting a reference image of an exit emission image captured by the ultra-high speed camera, Value setting includes a feature pattern in which data is formed based on the resolution pixels of the photographing high-speed camera, the image data of the outline distribution and the melt flow direction are digitized, and the outline distribution of the reference image is first characterized. Determination of melt discharge rate in a molten iron production facility. The method according to claim 1,
The step (ii)
(ii-1) determining whether the first contour feature pattern is detected in the first image;
(ii-2) if the first contour feature pattern is detected in the first image, determining whether the contour feature pattern is detected in the second image by obtaining the second image;
(ii-3) checking the first shape recognition pattern when the first contour feature pattern is detected in the second image;
(ii-4) determining whether the second contour feature pattern is detected in the first image when the first contour feature pattern is not detected in the first image as a result of the determination in step (ii-1) ;
(ii-5) if the second outline feature pattern is detected in the first image, determining whether the second outline feature pattern is detected in the second image by obtaining the second image; And
(ii-6) checking the second shape recognition pattern when the second outline feature pattern is detected in the second image. The method according to claim 1,
The step (iii)
Identifying a start point of the first shape recognition pattern or a start point of the same shape recognition pattern of the next image as a start point of the first shape recognition pattern or the second shape recognition pattern that is first recognized among the shape recognition patterns in the direction of travel of the melt stream with respect to the first image;
Each identified starting point is calculated as the number of pixels of the camera image;
The inter-pixel distance of the camera image depends on the actual distance of the melt, based on the actual distance of the actual exit melt stream, from the actual distance traveled (m) = the number of pixels calculated by image analysis (EA) The total actual distance of the melt stream). ≪ Desc / Clms Page number 13 > 5. The method of claim 4,
Wherein the rate of discharge of the melt is calculated by: < EMI ID = 15.0 >

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