Method for predicting yield of calcium in a calcium treatment process based on deep neural network
US11545239B1 · kind B1 · utility
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Key dates
| Filing date | Jun 20, 2022 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Jun 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.