Process optimization for electric arc furnace operation

EAFXpert transforms electric arc furnace data into actionable insights, enhancing safety, efficiency, and reliability through predictive and prescriptive optimization techniques.

Electric arc furnace operators face growing challenges: the scarcity of resources leads to increased use of lower-quality materials, and environmental regulations, particularly regarding the reduction of CO2 emissions, have redefined the operating conditions for electric arc furnace plants. EAFXpert helps to overcome these challenges by utilizing available information from the electric arc furnace process for advanced process control measures to improve the overall process.

Customer challenges addressed

  • Goal critical issues that effect the business targets in the plant equipment
  • Inconsistent melting profiles affecting process stability
  • Unexpected failures of critical equipment components
  • Lack of the tools to track the lifetime of an equipment
  • Delayed anomaly detection in process operations
  • Ineffective maintenance scheduling leading to downtime
  • Lack of automated performance evaluations against benchmarks

Key features

  • Enables prescriptive process strategies by providing digitalized expertise for strategic planning
  • Enriches knowledge with AI integrating machine learning for smarter insights
  • Integration of level 2 models ensures seamless system connectivity
  • Links quality and planning to synchronizes quality control with operational planning
  • Connects smart sensors for real-time data capture and analysis

Highlights

  • Tap-to-tap time optimization

    EAFXpert efficiently achieves target carbon levels and temperatures within the Electric Arc Furnace.

  • Tap hole blockages analytics

    By anticipating and mitigating tap hole blockages, EAFXpert ensures smoother operations and reduces unexpected downtimes, thereby optimizing overall performance.

  • Temperature rise detection

    EAFXpert employs advanced analytics to identify potential risks in temperature patterns, providing actionable insights that enhance operational efficiency and safety.

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