WO2019125088A1

WO2019125088A1 - Apparatus for monitoring air blowing state of molten iron

Info

Publication number: WO2019125088A1
Application number: PCT/KR2018/016547
Authority: WO
Inventors: 황원호; 최상우; 박지성; 배호문
Original assignee: 주식회사 포스코
Priority date: 2017-12-22
Filing date: 2018-12-21
Publication date: 2019-06-27
Also published as: KR20190076573A; KR102065222B1

Abstract

The present invention relates to an apparatus for monitoring an air blowing state of molten iron, capable of monitoring an air blowing state of molten iron tapped out of a blast furnace in real time to determine a situation in the blast furnace. An apparatus for monitoring an air blowing state of molten iron, according to one embodiment of the present invention, comprises: a sensor part for measuring a temperature and an image of molten iron in a tap hole; a signal processing part for signal processing the temperature and the image of the molten iron measured by the sensor part to measure air blowing of the tapped molten iron; and a control part for controlling the position of the sensor part according to the position of the molten iron measured by the signal processing part.

Description

Charging condition monitoring device

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a leaning condition monitoring apparatus for monitoring a leaning condition of a brick exit.

The aesthetic means the phenomenon that the filling gas generated by the reaction of the hot air introduced into the blast furnace and the coke in the furnace through the tuyere with the melted material is discharged to the outlet port as the level of the melted material decreases at the end of the melted material in the blast furnace.

The conventional afore-mentioned predictive method discharges charcoal and slag through a piercing operation through an outlet through an iron bar and a bit during an opening work, and since the operator determines the occurrence time of the anorem at the time of completion of the exit, There is a problem.

Such conventional techniques can be easily understood with reference to Korean Patent Registration No. 10-0347599 and Japanese Patent Publication No. 5692109, for example.

According to an embodiment of the present invention, there is provided a charter condition monitoring apparatus capable of monitoring a chartered state of a chartered ship leaving the blast furnace in real time to determine a situation in the furnace.

According to another aspect of the present invention, there is provided an apparatus for monitoring a leaning condition of a leaning vessel, the apparatus comprising: a sensor unit for measuring a temperature and an image of a leaser line at an exit; A signal processing unit for signal processing an image to measure an auditory ailment of the outgoing charter line, and a control unit for controlling the position of the sensor unit according to the position of the charcoal measured by the signal processing unit.

According to one embodiment of the present invention, it is possible to determine the situation in the blast furnace and stabilize the aging to improve the productivity and reduce the reduction ratio.

FIG. 1 is a schematic configuration diagram of an apparatus for monitoring a leaning activity state according to an embodiment of the present invention.

FIG. 2 is a conceptual diagram of an azimuth determination according to a temperature change of a charter state monitoring apparatus according to an embodiment of the present invention. FIG.

FIG. 3 to FIG. 7 are conceptual diagrams showing an anomaly determination according to the image analysis of the apparatus for monitoring the state of the hot springs of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, in order that those skilled in the art can easily carry out the present invention.

Referring to FIG. 1, an apparatus 100 for monitoring a leaning activity state according to an exemplary embodiment of the present invention may include a sensor unit 110, a signal processing unit 120, a controller 130, and a display unit 140.

The sensor unit 110 can measure the temperature and the image of the molten iron at the exit port.

The sensor unit 110 may include a thermometer 111 for measuring a temperature change of the molten iron at the exit and a high speed camera 112 for measuring an image of molten iron at the exit.

The signal processing unit 112 can process the temperature and the image of the hot wire measured by the sensor unit 110 to measure the audibility of the hot wire.

The result of the arousal determination can be output to the outside via the display unit 140. [

The control unit 130 controls the position of the thermometer 111 and the high speed camera 112 of the sensor unit 110 according to the position of the charcoal measured by the signal processing unit 120 to determine the optimum measurement position of the charcoal Tracking can be performed.

2, the signal processing unit 120 of the charter condition monitoring apparatus 100 according to an embodiment of the present invention includes a signal processor 120 for monitoring the charac- teristic of the charcoal measured by the thermometer 111 of the sensor unit 110, It is possible to judge the anomaly based on the temperature change such as the periodic temperature variation and the temperature distribution.

Fig. 2 (a) is a temperature graph of the chartered line to be taken out, and Figs. 2 (b), 2 (c) and 2 (d) respectively show an image at the beginning of the exit, an image at the middle of the exit and an image at the end of the exit.

2 (b) and 2 (d) and the temperature graph at this time in FIG. 2 (a), it can be seen that the temperature change is abrupt at the beginning and the end of the departure, You can see that the ailment occurs.

Referring to FIG. 3, the signal processing unit 120 of the charter condition monitoring apparatus 100 according to an exemplary embodiment of the present invention includes a charger 120, It is possible to judge the saturation of the charcoal based on the image.

That is, the signal processing unit 120 sets an area where a hot line extends from the area of the normal exit of the hot line image measured by the high-speed camera 112 of the sensor unit 110, , It is possible to judge the saturation of the charcoal line according to the ratio between the detected charcoal area and the area where the charcoal line is set.

More specifically, as shown in FIG. 3 (a) and FIG. 3 (b), an area where a hot wire is spread is set on the basis of a normal exit area, It is possible to judge the saturation of the charcoal according to the ratio between the detected charcoal area and the area where the charcoal is spread. Considering that the gas generated inside the blast furnace is ejected along with the outlet during the outage, the area where the hotline is spread can be set to the upper side of the image based on the normal exit.

The above-described inter-region ratios may be as shown in the following equation (1).

(Equation 1)

On the other hand, the signal processing unit 120 may calculate the average and standard deviation of the height of the exit image as in the area A, and judge that the deviation is an avalanche if the deviation is equal to or greater than a preset reference value.

The mean and standard deviation of the height may be as shown in Equation 2 below.

(Equation 2)

As described above, in the method of determining the audibility on the basis of the image, it is easy to determine the saturation by determining the area where the hot wire is spread out, and if the hot wire is detected in the area, It may happen that the setting of the audible detection area is impossible.

Referring to FIGS. 4A and 4B, the signal processing unit 120 may process the image of the measured charcoal to adjust the saturation measurement area to a shape that takes into consideration the boundary line of the polygon or the charcoal.

Referring to FIG. 5, the signal processing unit 120 processes the image of the hotline measured by the sensor unit 110 to obtain the boundary value of the image of the hotline and the background, and obtains the differential value of the obtained boundary value So that it is possible to determine an aural value. It is desirable to calculate the derivative value of the boundary portion value of the upper end of the exit line, considering that the gas generated inside the blast furnace is ejected along with the exit line during the exit.

5 (a) is an image in which no anomaly occurs, FIG. 5 (b) is an image in which an anomaly is generated, and FIG. 5 (c) is a graph in which an anomaly occurs in the measured image .

Referring to FIG. 6, the signal processing unit 120 processes the image of the hotline measured by the sensor unit 110 to obtain the boundary value of the image of the hotline and the background, And the standard deviation to determine the anatomy. It is desirable to calculate the mean, variance, and standard deviation of the boundary value of the upper end of the exit, taking into account the situation where the gas generated inside the blast furnace is ejected along with the exit during the exit.

FIG. 6 (a) is an image of a charcoal, and FIG. 6 (b) is a graph showing an interval in which an anomaly occurs in the measured image.

The calculation of the mean, variance, and standard deviation of the boundary portion values at the upper end of the outgoing line may be the same as in Equation 1 described above.

Referring to FIG. 7, the signal processing unit 120 processes the image of the hotline measured by the sensor unit 110 to obtain the boundary value of the image of the hotline and the background, The averages can be determined by calculating the average. Likewise, it may be desirable to calculate the average of the derivative values of the boundary portion values of the exit upper end, taking into account the situation where gas generated inside the blast furnace during ejection is ejected along with the exit.

FIG. 7 (a) is an image of a charcoal, and FIG. 7 (b) is a graph showing an interval in which a sound is generated in the measured image.

The calculation of the mean, variance, and standard deviation of the boundary portion values at the upper end of the exit can be as shown in Equation 3 below.

(Equation 3)

The above-described anomaly determination method of Figs. 5 to 7 can detect the boundary of the charcoal irrespective of the position shift of the exit port.

At least one determination method or a plurality of determination methods may be selected depending on the circumstances, such as the above-described determination of the anomaly according to the temperature change and the determination of the anomaly according to the image of Figs. 3 to 7, May be selected.

As described above, according to the present invention, in order to stabilize the blast furnace sulfur content, monitoring not only the temperature of the molten iron at the blast furnace outlet but also the exhausted condition of the outlet charcoal can be used as an important factor .

In addition, the beginning and end of the departure are related to the gas in the furnace. Especially, the ending of the end of the furnace is an important factor in judging the end of the opening (closing time) It is also an important criterion for the determination of the temperature coherence of the crucible, which is an important factor, and can be utilized for controlling the furnace heat control.

In addition, it is possible to improve the productivity and reduce the reduction ratio by stabilization of the bulan sulfur.

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 particular forms disclosed. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

A sensor unit for measuring the temperature and the image of the molten iron of the outlet;

A signal processing unit for signal processing the temperature and the image of the molten iron measured by the sensor unit to measure the anomaly of the ironing board; And

And a control unit for controlling the position of the sensor unit according to the position of the charcoal measured by the signal processing unit

And a charger for monitoring the charac- terized state.
The method according to claim 1,

Wherein the signal processing unit measures the saturation of the chartering line using the variation of the temperature of the charter line measured by the sensor unit.
The method according to claim 1,

Wherein the signal processing unit processes the image of the charcoal measured by the sensor unit and judges an audible according to a ratio occupied by a charcoal in a predetermined area compared to a normal departure.
The method of claim 3,

Wherein the signal processing unit processes an image of a hotline measured by the sensor unit to set an exit image area to an entire image area and calculates an average and a standard deviation of the height of the exit image area, And judges that it is an unsatisfied value if the value is equal to or greater than a reference value.
The method of claim 3,

Wherein the signal processing unit processes the image of the charcoal measured by the sensor unit to adjust the saturation measurement area to a shape that takes into account the boundary of the polygon or the charcoal.
The method of claim 3,

Wherein the signal processing unit processes the image of the charcoal measured by the sensor unit to obtain a boundary part value of the image of the charcoal and the background, calculates a differential value of the obtained boundary part value, Device.
The method of claim 3,

The signal processing unit processes the image of the charcoal measured by the sensor unit to obtain the boundary part value of the image of the charcoal and the background, and calculates the average, variance and standard deviation of the obtained boundary part value to determine the audible Charging condition monitoring device.
The method of claim 3,

Wherein the signal processing unit processes the image of the charcoal measured by the sensor unit to obtain a boundary part value of the image of the charcoal and the background, calculates a mean value of the derivative value of the obtained boundary part value, State monitoring device.