Based on BP network terminal quality prediction for BOF steelmaking process

The aspect of impact on the quality of steel is considered, according to the actual production process data in a refinery, BP neural network is applied to establish the steel quality forecasting model, which would improve steel making rate as a target. Based on existing Manage Information System of...

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Bibliographic Details
Main Authors: Guicheng Wang, Xiangping Kong, Zhansheng Zhang, Wendan Zhao, Shuzhi Gao, Xinhe Xu
Format: Conference Proceeding
Language:English
Subjects:
BOF Steelmaking
BP Network Model
Continuous production
Furnaces
Neural networks
Predictive models
Process control
Quality control
Quality Evaluation
Refining
Smelting
Steel
Temperature control
Terminal Prediction
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Summary:The aspect of impact on the quality of steel is considered, according to the actual production process data in a refinery, BP neural network is applied to establish the steel quality forecasting model, which would improve steel making rate as a target. Based on existing Manage Information System of steelmaking factory, the factors which impact to hit ratio of steel's kinds are investigated in details. A quality control model for the appropriate steelmaking process is studied, and the black box model of BOF steelmaking terminal prediction and process optimization is established. The results show that the steel pre-evaluation system is designed based on BP neural network to benefit for steel quality evaluation.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2010.5498736