Title:
METHOD FOR GENERATING TRAINED PREDICTION MODEL THAT PREDICTS ENERGY EFFICIENCY OF MELTING FURNACE, METHOD FOR PREDICTING ENERGY EFFICIENCY OF MELTING FURNACE, AND COMPUTER PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/059753
Kind Code:
A1
Abstract:
This method for generating a trained model includes a step (S110) for acquiring a process state parameter for each single charge, a step (S130) for applying machine learning to a dataset of one or a plurality of process state parameters acquired for charges of m portions (where m is an integer equal to or greater than 2) and executing pre-processing, a step (S140) for generating a training dataset, and a step (S150) for generating a trained model. The training dataset includes one or a plurality of process target parameters generated on the basis of n-dimensional feature quantities (where n is an integer equal to or greater than 1) extracted in pre-processing, the process target parameters indicating at least process basic information that is set for each single charge.
Inventors:
YOMOGIDA SHOHEI (JP)
YAMAMOTO YUKI (JP)
YAMAMOTO YUKI (JP)
Application Number:
PCT/JP2021/034191
Publication Date:
March 24, 2022
Filing Date:
September 16, 2021
Export Citation:
Assignee:
UACJ CORP (JP)
International Classes:
F27D21/00; C22B4/00
Domestic Patent References:
| WO2020170849A1 | 2020-08-27 |
Foreign References:
| KR20200101634A | 2020-08-28 |
Attorney, Agent or Firm:
OKUDA Seiji (JP)
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