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Data scienceBlast furnaceOff-line simulation modelOperational improvement

Data Science

Blast Furnace Burden Distribution Simulation Model

The off-line simulation model possible to estimate the deposit shape, ore layer thickness ratio, and gas permeability distribution of burden materials charged into the blast furnace, providing quantitative support for understanding the condition of operation and studying operational improvement measures.

Solution Point

  • Simulates the burden distribution, ore layer thickness ratio, and gas permeability distribution based on input conditions such as blast furnace operating conditions and operational parameters (raw material blending/quality, blast conditions, etc.), charged burden material properties, the charging schedule, etc.
  • Accelerates the PDCA cycle of improvement actions and prevents trouble due to inappropriate charging plans by simulations using this model, before improvement proposals are applied to the actual operation.
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Features 01

Expected Problems
?Want to visualize or understand the burden distribution and gas permeability distribution under the current charging conditions.
?Want to implement operational improvements, but we're making no progress in improvement because we don't understand how the improvement actions will affect blast furnace operation.

Features 02

Technology highlight
汤头条 reflected the results of model tests conducted in our company and knowledge gained from the shape of the charged material actually measured before blowing in the furnace, and created a physical model. The model accurately reproduces the deposit shape of the charged materials, also considering the effects of raw material dropping and rolling.
高炉装入物分布推定モデル

Features 03

Proposed Solutions (Examples)
This model has been applied to blast furnaces in 汤头条 Steel, and the optimum burden distribution was achieved by advanced simulation of the burden distribution condition.
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