Abnormality detection method and blast furnace operation method
US-9799110-B2 · Oct 24, 2017 · US
US10151006B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10151006-B2 |
| Application number | US-201414896805-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 13, 2014 |
| Priority date | Jun 19, 2013 |
| Publication date | Dec 11, 2018 |
| Grant date | Dec 11, 2018 |
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A method of detecting an abnormality in a blast furnace, wherein the abnormality causes clogging of a tuyere unit of the blast furnace, the method including capturing an image of a raceway unit through an in-furnace monitor window disposed at the tuyere unit; and determining that the abnormality has occurred when a brightness of the captured image is lower than or equal to a predetermined brightness threshold and a rate of decrease in the brightness is lower than or equal to a predetermined brightness-decrease-rate threshold.
Opening claim text (preview).
The invention claimed is: 1. A method of operating a blast furnace, the method comprising: capturing an image of a raceway unit by a camera through an in-furnace monitor window disposed at the tuyere unit; determining that an abnormality has occurred when a brightness of the captured image is lower than or equal to a predetermined brightness threshold and a rate of decrease in the brightness is lower than or equal to a predetermined brightness-decrease-rate threshold, wherein the abnormality causes clogging of a tuyere unit of the blast furnace; and adjusting a rate of an air blast to the tuyere unit when the abnormality is detected. 2. The method according to claim 1 , wherein the abnormality is determined to have occurred when a state where the brightness of the captured image remains lower than or equal to the brightness threshold continues for a predetermined time period from when the brightness arrives at or falls below the brightness threshold and the rate of decrease in brightness arrives at or falls below the brightness-decrease-rate threshold. 3. The method according to claim 1 , wherein the rate of decrease in brightness is calculated using a least-square method on a basis of a plurality of past brightness data points. 4. The method according to claim 1 , wherein the predetermined brightness threshold is a value that is within a range from 30% to 70% of a moving average of a plurality of past brightness data points, which is used as a reference.
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