Process Optimization Software for Thermal Coal Consumption Reduction:
Based on the calorific value prediction algorithm and expert experience database, the proportion of high and low calorific value coal is dynamically adjusted, reducing the consumption of high-quality coal by 8%-10% while ensuring that the coke strength meets the standard. The system stabilizes the fluctuation of mixed coal calorific value through real-time calorific value calibration, reducing costs and improving quality stability.


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