Method for predicting oxygen load in iron and steel enterprises based on production plan
US11755976B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2020 |
| Grant date | Sep 12, 2023 |
| Priority date | — |
| Expiry date | Mar 15, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/30
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
The present disclosure discloses a method for predicting oxygen load in iron and steel enterprises based on production plan, which relates to influencing factor extraction, neural network modeling and similar sequence matching technologies. The method uses the actual industrial operation data to first extract the relevant data such as the production plan and production performance of converter steel-making, analyze the influencing factors, and extract the main influencing variables of oxygen consumption. Then, the neural network prediction model of oxygen consumption of a single converter is established, the mean square error is taken as the evaluation index, and the predicting result of time granularity of a converter in the blowing stage is given. Finally, in combination with the information of smelting time and smelting duration of each device in the converter production plan, the prediction value of oxygen load in a planned time period is given.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.