Method of detecting slag in molten steel flow

Patent metadata

Field	Value
Publication number	US-2019390290-A1
Application number	US-201816483898-A
Country	US
Kind code	A1
Filing date	Feb 13, 2018
Priority date	Feb 14, 2017
Publication date	Dec 26, 2019
Grant date	—

Abstract

A method of detecting slag in a molten steel flow, includes a histogram creation step of creating a histogram for a captured image of a molten steel flow including molten steel and slag, a maximum peak point detection step of detecting a maximum peak point of the histogram, an intermediate peak point detection step of detecting an intermediate peak point of the histogram, an intermediate peak point counting step of counting the number Nh of intermediate peak points having a density parameter larger than the density parameter at the maximum peak point and the number N1 of intermediate peak points having a density parameter smaller than the density parameter at the maximum peak point, and a maximum peak point type determination step of determining a type of the maximum peak point by a magnitude relationship between the number N1 and the number Nh.

First claim

1 . A method of detecting slag in a molten steel flow, comprising:
an image capturing step of sequentially capturing a molten steel flow which is directed from a converter toward a ladle and includes molten steel and slag to acquire a captured image of the molten steel flow; a histogram creation step of creating, by performing imaging processing on the captured image, a histogram in which a density parameter corresponding to a density of each pixel constituting the captured image is shown on a horizontal axis and the number of pixels that is a total number of pixels each having the density parameter is shown on a vertical axis; a maximum peak point detection step of detecting a maximum peak point, in which the number of pixels is an absolute maximum value, for the histogram; an intermediate peak point detection step of detecting an intermediate peak point which has the number of pixels less than the number of pixels of the maximum peak point and is a local maximum value equal to or more than a predetermined threshold value of the number of pixels, for the histogram; an intermediate peak point counting step of counting the number Nh of intermediate peak points having a density parameter larger than the density parameter at the maximum peak point and the number N1 of intermediate peak points having a density parameter smaller than the density parameter at the maximum peak point; and a maximum peak point type determination step of determining that the maximum peak point corresponds to the molten steel in a case where the number Nh is larger than the number N1 while determining that the maximum peak point corresponds to the slag in a case where the number N1 is larger than the number Nh.

2 . The method of detecting slag in a molten steel flow according to claim 1 , further comprising:
a first determination step of, in the maximum peak point type determination step, in a case where it is determined that the maximum peak point corresponds to the slag, determining that a pixel having a density parameter less than a first threshold value determined based on the maximum peak point corresponds to the molten steel and a pixel having a density parameter equal to or more than the first threshold value corresponds to the slag; and a second determination step of, in the maximum peak point type determination step, in a case where it is determined that the maximum peak point corresponds to the molten steel, determining that a pixel having a density parameter equal to or less than a second threshold value determined based on the maximum peak point corresponds to the molten steel and a pixel having a density parameter more than the second threshold value corresponds to the slag.

3 . The method of detecting slag in a molten steel flow according to claim 2 ,
wherein the first threshold value is represented by a first straight line, which passes through the maximum peak point and has a positive inclination, in the histogram, wherein the second threshold value is represented by a second straight line, which passes through the maximum peak point and has a negative inclination, in the histogram, and wherein an absolute value of an inclination of the second straight line is larger than an absolute value of an inclination of the first straight line.

4 . The method of detecting slag in a molten steel flow according to claim 3 ,
wherein the first straight line is a straight line which passes through a peak point having a maximum density parameter from among points having the number of pixels less than a threshold value of the number of pixels and a density parameter smaller by a predetermined value or more with respect to the density parameter at the maximum peak point, and the maximum peak point, and wherein the absolute value of the inclination of the second straight line is 1.5 to 2.5 times the absolute value of the inclination of the first straight line.

Assignees

• Nippon Steel Corp

Inventors

• Kusunoki Tomoyuki
• Miyazaki Takahiro

Classifications

• G01N21/17

  Systems in which incident light is modified in accordance with the properties of the material investigated (where the material investigated is optically excited causing a change in wavelength of the incident light G01N21/63) · CPC title

• G01N2021/1765

  Method using an image detector and processing of image signal · CPC title

• C21C5/46 Primary

  Details or accessories · CPC title

• G01N33/20

  Metals · CPC title

• G01N33/205 Primary

  in liquid state, e.g. molten metals · CPC title