Abnormality detection method and blast furnace operation method

Patent metadata

Field	Value
Publication number	US-2016148365-A1
Application number	US-201414899486-A
Country	US
Kind code	A1
Filing date	Jun 18, 2014
Priority date	Jul 29, 2013
Publication date	May 26, 2016
Grant date	—

Abstract

An abnormality detection method of detecting abnormality of a blast furnace from tuyere images shot by cameras installed in vicinities of a plurality of tuyeres of the blast furnace includes: collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for each of the tuyeres image previously shot by the cameras at a same time; extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner; calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere images shot by the cameras at the same time during an operation; and detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold.

First claim

1 . An abnormality detection method of detecting abnormality of a blast furnace from tuyere images shot by cameras installed in vicinities of a plurality of tuyeres of the blast furnace, the abnormality detection method comprising:
collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for each of the tuyeres image previously shot by the cameras at a same time; extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner; calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere images shot by the cameras at the same time during an operation; and detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold.

2 . The abnormality detection method according to claim 1 , wherein the representative brightness vector is collected while maximum values of the brightness values in the tuyere images are set to the representative brightnesses.

3 . The abnormality detection method according to claim 1 , wherein the representative brightness vector is collected while average values of the brightness values in the tuyere images are set to the representative brightnesses.

4 . The abnormality detection method according to claim 1 , wherein the representative brightness vector is collected while minimum values of the brightness values in the tuyere images are set to the representative brightnesses.

5 . An abnormality detection method of detecting abnormality of a blast furnace from a tuyere image shot by a camera installed in a vicinity of a tuyere of the blast furnace, the abnormality detection method comprising:
collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for a plurality of areas formed by dividing a region of the tuyere image previously shot by the camera into the areas; extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner; calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere image shot by the camera during an operation; and detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold.

6 . The abnormality detection method according to claim 5 , wherein the representative brightness vector is collected while maximum values of the brightness values in the respective areas are set to the representative brightnesses.

7 . The abnormality detection method according to claim 5 , wherein the representative brightness vector is collected while average values of the brightness values in the respective areas are set to the representative brightnesses.

8 . The abnormality detection method according to claim 5 , wherein the representative brightness vector is collected while minimum values of the brightness values in the respective areas are set to the representative brightnesses.

9 . A blast furnace operation method comprising:
detecting abnormality of a blast furnace using the abnormality detection method, the abnormality detection method detecting abnormality of a blast furnace from tuyere images shot by cameras installed in vicinities of a plurality of tuyeres of the blast furnace and including: collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for each of the tuyeres image previously shot by the cameras at a same time; extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner; calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere images shot by the cameras at the same time during an operation; and detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold; and controlling an operation condition of the blast furnace based on whether the abnormality of the blast furnace has been detected.

10 . The blast furnace operation method according to claim 9 , wherein the representative brightness vector is collected while maximum values of the brightness values in the tuyere images are set to the representative brightnesses.

11 . The blast furnace operation method according to claim 9 , wherein the representative brightness vector is collected while average values of the brightness values in the tuyere images are set to the representative brightnesses.

12 . The blast furnace operation method according to claim 9 , wherein the representative brightness vector is collected while minimum values of the brightness values in the tuyere images are set to the representative brightnesses

13 . A blast furnace operation method comprising:
detecting abnormality of a blast furnace using the an abnormality detection method, the abnormality detection method detecting abnormality of a blast furnace from a tuyere image shot by a camera installed in a vicinity of a tuyere of the blast furnace and including:
collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for a plurality of areas formed by dividing a region of the tuyere image previously shot by the camera into the areas;
extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner;
calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere image shot by the camera during an operation; and
detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold; and
controlling an operation condition of the blast furnace based on whether the abnormality of the blast furnace has been detected.

14 . The blast furnace operation method according to claim 13 , wherein the representative brightness vector is collected while maximum values of the brightness values in the respective areas are set to the representative brightnesses.

15 . The blast furnace operation method according to claim 13 , wherein the representative brightness vector is collected while average values of the brightness values in the respective areas are set to the representative brightnesses.

16 . The blast furnace operation method according to claim 13 , wherein the representative brightness vector is collected while minimum values of the brightness values in the respective areas are set to the representative brightnesses.

Assignees

• Jfe Steel Corp

Inventors

• Tsuda Kazuro
• Hirata Takehide
• Yamahira Naoshi
• Abe Hidekazu

Classifications

• G06F18/2411

  based on the proximity to a decision surface, e.g. support vector machines · CPC title

• F27B1/16

  Arrangements of tuyeres · CPC title

• G06T7/0004 Primary

  Industrial image inspection · CPC title

• G06T7/60

  Analysis of geometric attributes · CPC title

• G06T2207/20076

  Probabilistic image processing · CPC title