Molten iron temperature prediction method for blast furnace, learning method of molten iron temperature prediction model for blast furnace, operation method for blast furnace, molten iron temperature prediction device for blast furnace, molten iron temperature prediction system, and terminal device

Patent metadata

Field	Value
Publication number	US-2025172342-A1
Application number	US-202318841807-A
Country	US
Kind code	A1
Filing date	Mar 1, 2023
Priority date	Mar 7, 2022
Publication date	May 29, 2025
Grant date	—

Abstract

A molten iron temperature prediction method for a blast furnace executed by a device configured by a computer includes: an image conversion processing step of converting temperature data of a furnace body into a two-dimensional image by an image conversion processing unit included in the computer; and a molten iron temperature prediction processing step of outputting, by a molten iron temperature prediction processing unit included in the computer, a future molten iron temperature by inputting image data output in the image conversion processing step for current temperature data of the furnace body to a molten iron temperature prediction model of which learning is performed using image data output in the image conversion processing step as input data and a molten iron temperature as output data.

First claim

1 . A molten iron temperature prediction method for a blast furnace executed by a device configured by a computer, the molten iron temperature prediction method comprising:
an image conversion processing step of converting temperature data of a furnace body into a two-dimensional image by an image conversion processing unit included in the computer; and a molten iron temperature prediction processing step of outputting, by a molten iron temperature prediction processing unit included in the computer, a future molten iron temperature by inputting image data output in the image conversion processing step for current temperature data of the furnace body to a molten iron temperature prediction model of which learning is performed using image data output in the image conversion processing step as input data and a molten iron temperature as output data.

2 . The molten iron temperature prediction method for a blast furnace according to claim 1 , wherein
the temperature data of the furnace body includes at least one of a furnace top sonde temperature, a skin flow temperature, a cooling stave temperature and a tuyere-embedded temperature, and in the image conversion processing step, a temperature of the furnace body is two-dimensionally disposed in correspondence to a measurement position, and values of the temperature are converted into an image with different colors or tones.

3 . The molten iron temperature prediction method for a blast furnace according to claim 1 , wherein the input data includes a plurality of pieces of image data at predetermined time intervals and indicates a temporal change in a furnace body temperature distribution.

4 . The molten iron temperature prediction method for a blast furnace according to claim 1 , wherein the molten iron temperature prediction processing step predicts a difference of a molten iron temperature after a predetermined period of time with respect to an average value of molten iron temperatures in a most recent predetermined period of time.

5 . A learning method of a molten iron temperature prediction model for a blast furnace executed by a device configured by a computer, the method comprising:
an image conversion processing step of converting temperature data of a furnace body into a two-dimensional image by an image conversion processing unit included in the computer; and a model learning processing step of performing learning of the molten iron temperature prediction model by a model learning processing unit included in the computer using image data output in the image conversion processing step as input data and a molten iron temperature as output data.

6 . The learning method of a molten iron temperature prediction model for a blast furnace according to claim 5 , wherein the model learning processing step performs learning of the molten iron temperature prediction model by using image data indicating a plurality of furnace body temperature distributions in a predetermined period before a reference time as input data and a difference of a molten iron temperature after a predetermined period after the reference time from an average value of molten iron temperatures in the predetermined period before the reference time as output data.

7 . An operation method of a blast furnace, the method comprising:
predicting a molten iron temperature using the molten iron temperature prediction method for a blast furnace according to claim 1 ; and changing an operating condition based on the predicted molten iron temperature.

8 . A molten iron temperature prediction device for a blast furnace, the molten iron temperature prediction device comprising:
an image conversion processing unit configured to convert temperature data of a furnace body into a two-dimensional image; and a molten iron temperature prediction processing unit configured to output a future molten iron temperature by inputting image data output by the image conversion processing unit for current temperature data of the furnace body to a molten iron temperature prediction model of which learning is performed using image data output by the image conversion processing unit as input data and a molten iron temperature as output data.

9 . The molten iron temperature prediction device for a blast furnace according to claim 8 , wherein
the temperature data of the furnace body includes at least one of a furnace top sonde temperature, a skin flow temperature, a cooling stave temperature and a tuyere-embedded temperature, and the image conversion processing unit is configured to two-dimensionally dispose a temperature of the furnace body in correspondence to a measurement position and convert values of the temperature into an image with different colors or tones.

10 . The molten iron temperature prediction device for a blast furnace according to claim 8 , wherein the input data includes a plurality of pieces of image data at predetermined time intervals and indicates a temporal change in a furnace body temperature distribution.

11 . The molten iron temperature prediction device for a blast furnace according to claim 8 , wherein the molten iron temperature prediction processing unit is configured to predict an absolute value of a difference of a molten iron temperature after a predetermined period of time with respect to an average value of molten iron temperatures in a most recent predetermined period of time.

12 . A molten iron temperature prediction system comprising:
a molten iron temperature predicting server device; and a terminal device, wherein the molten iron temperature predicting server device includes:
an image conversion processing unit configured to convert temperature data of a furnace body into a two-dimensional image;
a molten iron temperature prediction processing unit configured to output a future molten iron temperature by inputting image data output by the image conversion processing unit for current temperature data of the furnace body to a molten iron temperature prediction model of which learning is performed using image data output by the image conversion processing unit as input data and a molten iron temperature as output data; and
an output unit configured to output information including at least a future molten iron temperature predicted by the molten iron temperature prediction processing unit to the terminal device, and
the terminal device includes:
an information acquisition unit configured to acquire information including at least a future molten iron temperature from the molten iron temperature predicting server device; and
a display unit configured to display the information acquired by the information acquisition unit.

13 . (canceled)

Assignees

• Jfe Steel Corp

Inventors

• Masuda Ryosuke
• Hashimoto Yoshinari
• Shimamoto Hiroyuki

Classifications

• F27D2021/026

  using a video installation · CPC title

• F27D2019/0003

  Monitoring the temperature or a characteristic of the charge and using it as a controlling value · CPC title

• F27D21/02

  Observation or illuminating devices · CPC title

• F27D21/0014

  Devices for monitoring temperature · CPC title

• G06F2119/08

  Thermal analysis or thermal optimisation · CPC title