Patent №
US 9,799,110
Granted
2017-10-24
Filed 2015
Owner
JFE STEEL CORPORATION
Lab
—
AI components
2
vision · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14899486
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.
AI classification
Ownership
JFE STEEL CORPORATION
assignment · 373200908
Assignors
TSUDA, KAZURO, HIRATA, TAKEHIDE, YAMAHIRA, NAOSHI, ABE, HIDEKAZU
On an employer assignment, the assignors are typically the inventors.