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Anomaly detectionOperation stabilizationTrouble avoidanceImprovement of production efficiencySkill transfer

Data Science

Intelligent Blast Furnace Operation Support System

Avoids blast furnace trouble by visualization of the blast furnace condition and anomaly detection alarms.
Also provides guidance for stable BF operation.

Solution Point

  • Together with prediction of the heat balance in the blast furnace 8 to 12 hours in advance, also:
  • Detects early signs of blast furnace anomalies
  • Provides appropriate operational guidance

Features 01

Expected Problems
?Are there variations in operation due to differences in the skills of operators?
?Is operational stability poor and the furnace heat balance unstable?
?Have you had trouble because of delays in recognizing changes in-furnace environment?
?Is skill transfer of operation know-how to young employees a problem?

Features 02

Technology highlight
?Detection of the early signs of anomalies that can cause major trouble in the blast furnace, which was difficult in the past.
?Prediction of the heat condition in the blast furnace 8 to 12 hours in advance, which is important for stable operation.
?Guidance to operators on the optimum action at the present time based on prediction results.
内部状態のリアルタイム可視化により、操業の高効率化?安定化を実現

Features 03

Proposed Solutions (Examples)
?Detection of operational anomalies in the blast furnace and provision of operational guidance.
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